Podcasts about OCI

06-04-26 Recording of The Summer Sessions featuring another edition of our international radio collaboration known as OCIØ FM. OCIØ is a Medellín, Colombia-based record label led and curated by the DJ and producer Archaic Revival.   Every two months, we use this radio slot to spotlight some of the notable talent in Colombia's electronic music scene.   The sixth edition of this series continues with with a guest mix from the DJ and producer, Fēiteru.   For more on the artist visit: https://tinyurl.com/cu5fnhbf   For more on the program visit: www.thesummersessions.net 

How do all your devices connect and stay safe in the cloud? In this episode, Lois Houston and Nikita Abraham talk with OCI instructors about the basics of how networks work and the simple steps that help protect them. You'll learn how information gets from one place to another, why tools like switches, routers, and firewalls are important, and what goes into keeping access secure. The discussion also covers how organizations decide who can enter their systems and how they keep track of activity.   Cloud Tech Jumpstart: https://mylearn.oracle.com/ou/course/cloud-tech-jumpstart/152992 Oracle University Learning Community: https://education.oracle.com/ou-community LinkedIn: https://www.linkedin.com/showcase/oracle-university/ X: https://x.com/Oracle_Edu   Special thanks to Arijit Ghosh, Anna Hulkower, Radhika Banka, and the OU Studio Team for helping us create this episode.   ---------------------------------------------------------   Episode Transcript:  00:00 Hi there! We're hitting rewind for the next few weeks and bringing back some of our most popular episodes. So, sit back and enjoy these highlights from our archive. 00:12 Welcome to the Oracle University Podcast, the first stop on your cloud journey. During this series of informative podcasts, we'll bring you foundational training on the most popular Oracle technologies. Let's get started! 00:38 Lois: Hello and welcome to the Oracle University Podcast! I'm Lois Houston, Director of Innovation Programs with Oracle University, and with me is Nikita Abraham, Team Lead: Editorial Services. Nikita: Hi everyone! In the last episode, we spoke about local area networks and domain name systems. Today, we'll continue our conversation on the fundamentals of networking, covering a variety of important topics.  01:03 Lois: That's right, Niki. And before we close, we'll also touch on the basics of security. Joining us today are two OCI instructors from Oracle University: Sergio Castro and Orlando Gentil. So glad to have you both with us guys. Sergio, with so many users and devices connecting to the internet, how do we make sure everyone can get online? Can you break down what Network Address Translation, or NAT, does to help with this? Sergio: The world population is bigger than 4.3 billion people. That means that if we were to interconnect every single human into the internet, we will not have enough addresses. And not all of us are connected to the internet, but those of us who are, you know that we have more than one device at our disposal. We might have a computer, a laptop, mobile phones, you name it. And all of them need IP addresses. So that's why Network Address Translation exists because it translates your communication from a private IP to a public IP address. That's the main purpose: translate. 02:18 Nikita: Okay, so with NAT handling the IP translation, how do we ensure that the right data reaches the right device within a network? Or to put it differently, what directs external traffic to specific devices inside a network? Sergio: Port forwarding works in a reverse way to Network Address Translation. So, let's assume that this PC here, you want to turn it into a web server. So, people from the outside, customers from the outside of your local area network, will access your PC web server. Let's say that it's an online store. Now all of these devices are using the same public IP address. So how would the traffic be routed specifically to this PC and not to the camera or to the laptop, which is not a web server, or to your IP TV? So, this is where port forwarding comes into play. Basically, whenever it detects a request coming to port, it will route it and forward that request to your PC. It will allow anybody, any external device that wants to access this particular one, this particular web server, for the session to be established. So, it's a permission that you're allowing to this PC and only to this PC. The other devices will still be isolated from that list. That's what port forwarding is. 03:48 Lois: Sergio, let's talk about networking devices. What are some of the key ones, and what role do they play in connecting everything together? Sergio: There's plenty of devices for interconnectivity. These are devices that are different from the actual compute instances, virtual machines, cameras, and IPTV. These are for interconnecting networks. And they have several functionalities. 04:11 Nikita: Yeah, I often hear about a default gateway. Could you explain what that is and why it's essential for a network to function smoothly? Sergio: A gateway is basically where a web browser goes and asks a service from a web server. We have a gateway in the middle that will take us to that web server. So that's basically is the router. A gateway doesn't necessarily have to be a router. It depends on what device you're addressing at a particular configuration. So, a gateway is a connectivity device that connects two different networks. That's basically the functionality.  04:47 Lois: Ok. And when does one use a default gateway? Sergio: When you do not have a specific route that is targeting a specific router. You might have more than one router in your network, connecting to different other local area networks. You might have a route that will take you to local area network B. And then you might have another router that is connecting you to the internet. So, if you don't have a specific route that will take you to local area network B, then it's going to be utilizing the default gateway. It directs data packets to other networks when no specific route is known. In general terms, the default gateway, again, it doesn't have to be a router. It can be any devices. 05:34 Nikita: Could you give us a real-world example, maybe comparing a few of these devices in action, so we can see how they work together in a typical network? Sergio: For example, we have the hub. And the hub operates at the physical layer or layer 1. And then we have the switch. And the switch operates at layer 2. And we also have the router. And the router operates at layer 3. So, what's the big difference between these devices and the layers that they operate in? So, hubs work in the physical layer of the OSI model. And basically, it is for connecting multiple devices and making them act as a single network segment. Now, the switch operates at the data link layer and is basically a repeater, and is used for filtering content by reading the addresses of the source and destination. And these are the MAC addresses that I'm talking about. So, it reads where the packet is coming from and where is it going to at the local area network level. It connects multiple network segments. And each port is connected to a different segment. And the router is used for routing outside of your local area network, performs traffic directing functions on the internet. A data packet is typically forwarded from one router to another through different networks until it reaches its destination node. The switch connects multiple network segments. And each port of the switch is connected to a different segment. And the router performs traffic directing functions on the internet. It takes data from one router to another, and it works at the TCP/IP network layer or internet layer. 07:34 Lois: Sergio, what kind of devices help secure a network from external threats? Sergio: The network firewall is used as a security device that acts as a barrier between a trusted internal network and an untrusted external network, such as the internet. The network firewall is the first line of defense for traffic that passes in and out of your network. The firewall examines traffic to ensure that it meets the security requirements set by your organization, or allowing, or blocking traffic based on set criteria. And the main benefit is that it improves security for access management and network visibility. 08:23 Are you keen to stay ahead in today's fast-paced world? We've got your back! Each quarter, Oracle rolls out game-changing updates to its Fusion Cloud Applications. And to make sure you're always in the know, we offer New Features courses that give you an insider's look at all of the latest advancements. Don't miss out! Head over to mylearn.oracle.com to get started.  08:48 Nikita: Welcome back! Sergio, how do networks manage who can and can't enter based on certain permissions and criteria? Sergio: The access control list is like the gatekeeper into your local area network. Think about the access control list as the visa on your passport, assuming that the country is your local area network. Now, when you have a passport, you might get a visa that allows you to go into a certain country. So the access control list is a list of rules that defines which users, groups, or systems have permissions to access specific resources on your networks.  It is a gatekeeper, that is going to specify who's allowed and who's denied. If you don't have a visa to go into a specific country, then you are denied. Similar here, if you are not part of the rule, if the service that you're trying to access is not part of the rules, then you cannot get in. 09:49 Lois: That's a great analogy, Sergio. Now, let's turn our attention to one of the core elements of network security: authentication and authorization. Orlando, can you explain why authentication and authorization are such crucial aspects of a secure cloud network? Orlando: Security is one of the most critical pillars in modern IT systems. Whether you are running a small web app or managing global infrastructure, every secure system starts by answering two key questions. Who are you, and what are you allowed to do? This is the essence of authentication and authorization. Authentication is the first step in access control. It's how a system verifies that you are who you claim to be. Think of it like showing your driver's license at a security checkpoint. The guard checks your photo and personal details to confirm your identity. In IT systems, the same process happens using one or more of these factors. It will ask you for something you know, like a password. It will ask you for something that you have, like a security token, or it will ask you for something that you are, like a fingerprint. An identity does not refer to just a person. It's any actor, human or not, that interacts with your systems. Users are straightforward, think employees logging into a dashboard. But services and machines are equally important. A backend API may need to read data from a database, or a virtual machine may need to download updates. Treating these non-human identities with the same rigor as human ones helps prevent unauthorized access and improves visibility and security. After confirming your identity, can the system move on to deciding what you're allowed to access? That's where authorization comes in. Once authentication confirms who you are, authorization determines what you are allowed to do. Sticking with the driver's license analogy, you've shown your license and proven your identity, but that doesn't mean that you can drive anything anywhere. Your license class might let you drive a car, not a motorcycle or a truck. It might be valid in your country, but not in others. Similarly, in IT systems, authorization defines what actions you can take and on which resources. This is usually controlled by policies and roles assigned to your identity. It ensures that users or services only get access to the things they are explicitly allowed to interact with. 12:47 Nikita: How can organizations ensure secure access across their systems, especially when managing multiple users and resources?  Orlando: Identity and Access Management governs who can do what in our systems. Individually, authentication verifies identity and authorization grants access. However, managing these processes at scale across countless users and resources becomes a complex challenge. That's where Identity and Access Management, or IAM, comes in. IAM is an overarching framework that centralizes and orchestrates both authentication and authorization, along with other critical functions, to ensure secure and efficient access to resources.  13:35 Lois: And what are the key components and methods that make up a robust IAM system? Orlando: User management, a core component of IAM, provides a centralized Identity Management system for all user accounts and their attributes, ensuring consistency across applications. Key functions include user provisioning and deprovisioning, automating account creation for new users, and timely removal upon departure or role changes. It also covers the full user account lifecycle management, including password policies and account recovery. Lastly, user management often involves directory services integration to unify user information. Access management is about defining access permissions, specifically what actions users can perform and which resources they can access. A common approach is role-based access control, or RBAC, where permissions are assigned to roles and users inherit those permissions by being assigned to roles. For more granular control, policy-based access control allows for rules based on specific attributes. Crucially, access management enforces the principle of least privilege, granting only the minimum necessary access, and supports segregation of duties to prevent conflicts of interest. For authentication, IAM systems support various methods. Single-factor authentication, relying on just one piece of evidence like a password, offers basic security. However, multi-factor authentication significantly boosts security by requiring two or more distinct verification types, such as a password, plus a one-time code. We also have biometric authentication, using unique physical traits and token-based authentication, common for API and web services. 15:46 Lois: Orlando, when it comes to security, it's not just about who can access what, but also about keeping track of it all. How does auditing and reporting maintain compliance? Orlando: Auditing and reporting are essential for security and compliance. This involves tracking user activities, logging all access attempts and permission changes. It's vital for meeting compliance and regulatory requirements, allowing you to generate reports for audits. Auditing also aids in security incident detection by identifying unusual activities and providing data for forensic analysis after an incident. Lastly, it offers performance and usage analytics to help optimize your IAM system.  16:35 Nikita: That was an incredibly informative conversation. Thank you, Sergio and Orlando, for sharing your expertise with us. If you'd like to dive deeper into these concepts, head over to mylearn.oracle.com and search for the Cloud Tech Jumpstart course. Lois: I agree! This was such a great conversation! Until next time, this is Lois Houston… Nikita: And Nikita Abraham, signing off! 16:58 That's all for this episode of the Oracle University Podcast. If you enjoyed listening, please click Subscribe to get all the latest episodes. We'd also love it if you would take a moment to rate and review us on your podcast app. See you again on the next episode of the Oracle University Podcast.  

An airhacks.fm conversation with Bruno Borges (@brunoborges) about: discussion about the JAZ command launcher for Java, JVM tuning and default ergonomics for containers versus dedicated cloud environments, replacing the Java launcher with jaz in container images, supporting Java 8 to 25, maximizing resource utilization on kubernetes to reduce waste, running Java on Azure Functions, Azure App Service deploying a fat JAR without a container image, Azure Container Apps as a platform on AKS without YAML, Azure Kubernetes Service and AKS Automatic, Bicep as infrastructure as code, deploying a JAR to Kubernetes via OCI artifacts and a custom operator, Microsoft Foundry and the Microsoft Agent Framework, Semantic Kernel learnings, the Copilot SDK for Java communicating with headless CLIs, A2A and ACP protocols and MCP, agents as microservices with scoped tasks, guardrails, and sandboxing, per-agent model selection for cost and reasoning trade-offs, observability and traceability between agents with opentelemetry, grounding LLMs against MicroProfile, Jakarta EE, JAX-RS normative RFC 2119 specifications for hallucination-free Java code generation, the Boundary Control Entity pattern and business components as Java packages, package-info.java for semantic context, GitHub Copilot skills and custom instructions in Visual Studio Code, the AI Rails skills site, zero-dependency Java CLI scripting, reducing dependencies by reusing source code instead of JARs, the org.json reference implementation reduced to five classes, StackGres and OnGres running Quarkus and GraalVM to manage Postgres on Kubernetes, the Digg Into Java community Bruno Borges on twitter: @brunoborges

Qumulo and Cisco Launch Bridge-to-Cloud Architecture to Help Enterprises Beat the Flash Crunch at Cisco Live 2026 By Doug Green “Capacity extends to the cloud instantly. Users and applications never know that the systems have been extended into the cloud.” At Cisco Live 2026, Doug Green spoke with Brandon Whitelaw of Qumulo about the company's new Bridge-to-Cloud architecture with Cisco, a solution designed to help enterprises respond to one of the most urgent infrastructure challenges of the AI era: fast-growing data workloads, constrained flash supply, longer hardware lead times and rising demand for high-performance storage. Qumulo describes itself as an accelerated data company. In the podcast, Whitelaw explains that Qumulo helps organizations store and manage mission-critical file and object data across data centers, edge environments and the major public clouds. The goal is to unify those datasets into a consistent, AI-enabled data fabric that can support both today's high-performance applications and tomorrow's AI pipelines. Qumulo's customers include autonomous driving companies, media and entertainment organizations, special effects shops, sports broadcasters, life sciences organizations, genomic research teams, hospitals, public sector agencies and government entities. The common thread is data: large, high-capacity, high-performance datasets that must be available, protected and ready for use. The Cisco announcement focuses on Cloud Native Qumulo Enterprise combined with Cisco Unified Computing System through Qumulo's Cloud Data Fabric. The solution is designed to let enterprises extend file workloads from on-premises Cisco UCS infrastructure into the cloud without forcing a disruptive migration, application refactoring or a rebuild of existing workflows. For enterprise IT teams, the problem is practical. AI infrastructure demand is reshaping the market for memory and NVMe systems, creating pressure on traditional capacity planning. Instead of waiting months for new hardware or overprovisioning all-flash systems, Qumulo and Cisco are offering a bridge: keep trusted on-premises infrastructure in place while extending selected workloads into the cloud as needed. Whitelaw says the architecture gives enterprises a way to free up on-premises infrastructure for the most critical applications, while using cloud capacity to handle growth, burst demand and AI-readiness. The result is a hybrid model that is not simply about cloud migration. It is about operational flexibility. The solution also positions enterprise data for AI and analytics. Qumulo says CNQ Enterprise includes Cloud Data Fabric and NeuralProtect and can run on Cisco UCS on-premises as well as across AWS, Azure, Google Cloud and Oracle Cloud Infrastructure. The architecture is intended to make enterprise datasets available for AI pipelines into services such as Microsoft AI Foundry, AWS Bedrock and Google Vertex AI. For Cisco partners, service providers and enterprise IT teams, the message from the podcast is clear: hybrid cloud is becoming a pressure-release valve for data infrastructure. The Bridge-to-Cloud model offers a way to gain capacity relief, preserve application continuity, support elastic scale and prepare data for AI without forcing customers into a disruptive replatforming project. Qumulo CNQ Enterprise is available now for deployment on Cisco UCS on-premises infrastructure and across AWS, Azure, Google Cloud and OCI. It is also available through Cisco for simplified enterprise procurement. Qumulo is exhibiting at booth 4018 at Cisco Live 2026 in Las Vegas. Learn more at: https://qumulo.com/product/cisco/

Alphabet gaat voor 80 miljard dollar aan nieuwe aandelen uitgeven. Bijzonder, want het is voor het eerst in 20 jaar dat het moederbedrijf van Google dat doet. Met die miljarden wil Alphabet gaan werken aan zijn AI-plannen. Een koper van die aandelen hebben ze al binnen: Berkshire Hathaway. Dat koopt voor 10 miljard dollar in. Deze aflevering hebben we veel te bespreken. We hebben het over die nieuwe aandelen. Wie gaan die kopen? Helemaal nu ook SpaceX, Anthropic, Open AI vechten om de aandacht van beleggers. En wat te denken van die investering van het bedrijf van Warren Buffett: helpt ze dat de toekomst in? Verder hoor je meer over de Europese Chips Act. Het tweede deel. We kijken wat dat gaat betekenen voor je Besi- en ASML-aandelen. En we hebben het over Hewlett Packard Enterprise. Dit oudje doet hetzelfde als Dell: stunten met de kwartaalcijfers! Ook hoor je meer over: De inflatie in Nederland: 3,5% in mei AI-agent van Tencent trekt Prosus omhoog Gezelligheid op de AvA van OCI Victoria's Secret knalt omhoog - wat is hun geheim? Te gast: Han Dieperink, Chief Investment Officer bij Auréus BNR Beurs is een journalistiek onafhankelijke productie, mede mogelijk gemaakt door Saxo. Over de makers: Jelle Maasbach is presentator van BNR Beurs en freelance financieel journalist. Zijn favoriete aandeel om over te praten is Disney, maar daar lijkt hij de enige in te zijn. Sinds de eerste uitzending van BNR Beurs is 'ie er bij. Maxim van Mil is presentator van BNR Beurs en journalist bij BNR, waar hij zich focust op de financiële markten en ontwikkelingen in de tech-wereld. Je krijgt hem het meest enthousiast als hij kan praten over ASML, of oer-Hollandse bedrijven zoals Ahold of ABN Amro. Jorik Simonides is presentator van BNR Beurs, economieredacteur en verslaggever bij BNR. Hij wordt er vooral blij van als het een keer níet over AI gaat. Milou Brand is presentator van BNR Beurs, freelance podcastmaker en columnist bij het Financieele Dagblad. Jochem Visser is presentator van BNR Beurs, maakt Beursnerd XL en is redacteur bij de podcast Onder Curatoren. Vraag hem naar obscure zaken op financiële markten en hij vertelt je waarom het eigenlijk nóg leuker is dan je al dacht. Over de podcast: Met BNR Beurs ga je altijd voorbereid de nieuwe beursdag in. We praten je in een kleine 25 minuten bij over alle laatste ontwikkelingen op de handelsvloer. We blijven niet alleen bij de AEX of Wall Street, maar vertellen je ook waar nog meer kansen liggen. En we houden het niet bij de cijfers, maar zoeken ook iedere dag voor je naar duiding van scherpe gasten en experts. Of je nu een ervaren belegger bent of net begint met je eerste stappen op de beurs, de podcast biedt waardevolle inzichten voor je beleggingsstrategie. Door de focus op zowel de korte termijn als de lange termijn, helpt BNR Beurs luisteraars om de ruis van de markt te scheiden van de essentie. Van Musk tot Microsoft en van Ahold tot ASML. Wij vertellen je wat beleggers bezighoudt, wie de markten in beweging zet en wat dat betekent voor jouw beleggingsportefeuille.See omnystudio.com/listener for privacy information.

Alphabet gaat voor 80 miljard dollar aan nieuwe aandelen uitgeven. Bijzonder, want het is voor het eerst in 20 jaar dat het moederbedrijf van Google dat doet. Met die miljarden wil Alphabet gaan werken aan zijn AI-plannen. Een koper van die aandelen hebben ze al binnen: Berkshire Hathaway. Dat koopt voor 10 miljard dollar in. Deze aflevering hebben we veel te bespreken. We hebben het over die nieuwe aandelen. Wie gaan die kopen? Helemaal nu ook SpaceX, Anthropic, Open AI vechten om de aandacht van beleggers. En wat te denken van die investering van het bedrijf van Warren Buffett: helpt ze dat de toekomst in? Verder hoor je meer over de Europese Chips Act. Het tweede deel. We kijken wat dat gaat betekenen voor je Besi- en ASML-aandelen. En we hebben het over Hewlett Packard Enterprise. Dit oudje doet hetzelfde als Dell: stunten met de kwartaalcijfers! Ook hoor je meer over: De inflatie in Nederland: 3,5% in mei AI-agent van Tencent trekt Prosus omhoog Gezelligheid op de AvA van OCI Victoria's Secret knalt omhoog - wat is hun geheim? Te gast: Han Dieperink, Chief Investment Officer bij Auréus BNR Beurs is een journalistiek onafhankelijke productie, mede mogelijk gemaakt door Saxo. Over de makers: Jelle Maasbach is presentator van BNR Beurs en freelance financieel journalist. Zijn favoriete aandeel om over te praten is Disney, maar daar lijkt hij de enige in te zijn. Sinds de eerste uitzending van BNR Beurs is 'ie er bij. Maxim van Mil is presentator van BNR Beurs en journalist bij BNR, waar hij zich focust op de financiële markten en ontwikkelingen in de tech-wereld. Je krijgt hem het meest enthousiast als hij kan praten over ASML, of oer-Hollandse bedrijven zoals Ahold of ABN Amro. Jorik Simonides is presentator van BNR Beurs, economieredacteur en verslaggever bij BNR. Hij wordt er vooral blij van als het een keer níet over AI gaat. Milou Brand is presentator van BNR Beurs, freelance podcastmaker en columnist bij het Financieele Dagblad. Jochem Visser is presentator van BNR Beurs, maakt Beursnerd XL en is redacteur bij de podcast Onder Curatoren. Vraag hem naar obscure zaken op financiële markten en hij vertelt je waarom het eigenlijk nóg leuker is dan je al dacht. Over de podcast: Met BNR Beurs ga je altijd voorbereid de nieuwe beursdag in. We praten je in een kleine 25 minuten bij over alle laatste ontwikkelingen op de handelsvloer. We blijven niet alleen bij de AEX of Wall Street, maar vertellen je ook waar nog meer kansen liggen. En we houden het niet bij de cijfers, maar zoeken ook iedere dag voor je naar duiding van scherpe gasten en experts. Of je nu een ervaren belegger bent of net begint met je eerste stappen op de beurs, de podcast biedt waardevolle inzichten voor je beleggingsstrategie. Door de focus op zowel de korte termijn als de lange termijn, helpt BNR Beurs luisteraars om de ruis van de markt te scheiden van de essentie. Van Musk tot Microsoft en van Ahold tot ASML. Wij vertellen je wat beleggers bezighoudt, wie de markten in beweging zet en wat dat betekent voor jouw beleggingsportefeuille.See omnystudio.com/listener for privacy information.

Meer weten over de mogelijkheden bij Saxo Bank? Klik dan op deze link: https://refer.saxo/DeAandeelHouderMeer info over de mogelijkheden bij Kraken? Ga naar:https://www.kraken.com/nl-nl/ Boek Buffett & Co bestellen? https://www.borgerhoff-lamberigts.be/shop/boeken/buffett-coKortingscode: AANDEELHOUDERLid worden van de aandeelhouder? Ga naar: https://www.deaandeelhouder.nl/premium/ Nu lid worden van DeAandeelhouder Pro? Ga naar:https://www.deaandeelhouder.nl/login/?redirect_to=https://www.deaandeelhouder.nl/mijn-account/pro/Lid worden van ProBeleggen? Ga naar: https://www.probeleggen.nl/aanmelden/registreren/  In de wekelijkse podcast van DeAandeelhouder ontvangt Nico Inberg diverse experts uit de financiële wereld om te praten over de beurs, beleggen en aandelen. Deze week verwelkomen wij fondsbeheerder Thijs Buitenhuis van Norbury Capital. Onderwerpen die aan bod komen zijn Salesforce, IMCD, Ferrari, AkzoNobel, OCI, Flow Traders & nog veel meer! Volg DeAandeelhouder op andere kanalen:Website: https://www.deaandeelhouder.nl/ Twitter (X):  https://twitter.com/deaandeelhouderTikTok:  https://www.tiktok.com/@deaandeelhouderInstagram: https://www.instagram.com/deaandeelhouder/Facebook: https://www.facebook.com/DeAandeelHouder/LinkedIn: https://www.linkedin.com/company/de-aandeelhouder-nl/Tijdslijn:00:00 - 08:28 Opening08:28 - 12:15 Verbazing van de week12:15 - 19:50 AkzoNobel19:50 - 23:55 Salesforce23:55 - 27:20 Adyen27:20 - 30:50 OCI30:50 - 36:30 Ferrari (auto)36:30 - 37:55 Aegon37:55 - 42:15 Flow Traders42:15 - 48:50 IMCD48:50 - 50:15 Van Lanschot Kempen50:15 - 52:30 Ferrari (transporteur)52:30 - 54:50 Vacature werkstudent54:50 - 56:00 D'Ieteren56:00 X-FAB

Planning your return to India? Don't guess — plan it right

Indian Consul General in Melbourne Anish Rajan has announced the opening of a larger VFS Global centre in Melbourne. The new facility, set to open soon on St Kilda Road, will function as a centre offering a wide range of services, including applications for Indian visas, passports, OCI status, Police Clearance Certificates, and other visa-related services. The move from the current Swanston Street premises in the CBD, along with extra counters, is expected to make services smoother and reduce booking wait times for the Indian-Australian community and other applicants.

Planning your return to India? Don't guess — plan it right

It can seem like GPUs get all the headlines when it comes to AI workloads, but there are a lot more challenges when it comes to handling massive training jobs. We talk to Pradeep Vincent, Oracle's Executive Vice President & Chief Technical Architect of OCI, about the importance of power and the oft-overlooked networking in large-scale AI clusters, particularly as we approach multibuilding scale, and potentially multi-campus. 

Java 26 est là, GraalVM cartonne chez Trivago (43 à 12 réplicas !), OpenJDK interdit le code généré par LLM, Spring et Quarkus enchaînent les releases. Côté IA : ADK 1.0, A2A, Lyria 3 chante (mal ?), Yann LeCun lance Ami Labs et ses World Models. Mythos d'Anthropic fait trembler la sécu, Claude Code a leaké son source, et les git worktrees envahissent vos terminaux. Bonus : la mort annoncée de l'IDE, vagues de licenciement chez Oracle et Block, et nos voix toutes clonées. Bon week-ends de mai ! Enregistré le 7 mai 2026 Téléchargement de l'épisode LesCastCodeurs-Episode-340.mp3 ou en vidéo sur YouTube. News Langages Retour d'expérience d'une migration vers graalVM chez Trivago https://medium.com/graalvm/inside-trivagos-graalvm-migration-native-image-for-graphql-at-scale-912bca9df841 La passerelle GraphQL de Trivago (point d'entrée de tout le trafic vers 48 microservices) souffrait de pics de timeout au démarrage JVM Résultats spectaculaires après migration vers GraalVM Native Image : réduction des réplicas de 43 à 12, CPU de 15 à 5 cœurs, images Docker plus légères Obstacles techniques : incompatibilité Log4j → migration vers Logback, remplacement de Mockk par Testcontainers, compilation CI/CD très gourmande Netflix DGS et d'autres librairies manquaient de support GraalVM → l'équipe a contribué des correctifs upstream en open source Approche recommandée : commencer par les services les moins complexes, investir massivement dans les tests automatisés À la 14e migration, le processus était si rodé qu'il allait plus vite que la toute première tentative OpenJDK Interim Policy on Generative AI - https://openjdk.org/legal/ai OpenJDK adopte une politique intérimaire interdisant toute contribution incluant du contenu généré par des LLMs, modèles de diffusion ou systèmes deep-learning Le périmètre est large : code source, texte, images dans les dépôts Git, pull requests GitHub, emails, pages wiki et issues JBS Les contributeurs peuvent utiliser les outils d'IA de manière privée pour comprendre, déboguer et relire le code OpenJDK, mais ne peuvent pas contribuer le contenu généré Trois risques justifient cette politique : surcharge des relecteurs face au code plausible mais incorrect, risques de sûreté/sécurité pour une plateforme critique, et risques de propriété intellectuelle (l'OCA exige que les contributeurs possèdent les droits IP de leurs contributions) Même éditer partiellement du code AI-généré ne le rend pas acceptable à la contribution Oracle, sponsor corporatif d'OpenJDK, travaille sur une politique complète à soumettre au Governing Board GraalVM Native Image et la Closed-World Assumption en Java https://pvs-studio.com/en/blog/posts/java/1357/ Un bon article de rappel du contexte de closed world en Java GraalVM Native Image compile les applications Java en exécutables natifs statiques, sans JVM au runtime. La JVM fonctionne en monde ouvert : les classes sont chargées à la demande, les appels sont des références symboliques résolues dynamiquement. Native Image impose la "closed-world assumption" : tous les chemins d'exécution doivent être connus à la compilation. Les fonctionnalités dynamiques Java (réflexion, proxies, chargement de classes) créent des chemins cachés invisibles à l'analyse statique. C'est pourquoi Native Image exige des fichiers de configuration explicites pour la réflexion, les proxies, les ressources et la FFM API. L'article illustre le problème avec la Foreign Function & Memory API pour appeler printf natif : fonctionne sur JVM, échoue en Native Image sans config. Inclure tout le bytecode accessible serait inutilisable : binaire géant, compilation très lente, et la réflexion nécessite des métadonnées précises. La configuration n'est pas un défaut de conception mais une conséquence logique du passage du dynamique au statique. Java 26 : les nouveautés https://foojay.io/today/java-26-whats-new/ Java est le langage de la JVM, publié tous les 6 mois depuis Java 9 ; Java 26 est une version non-LTS avec 10 JEPs. JEP 500 : protection des champs final modifiés par réflexion profonde, avec des avertissements configurables. JEP 504 : suppression définitive de l'API Applet, plus supportée par les navigateurs. JEP 516 : le cache AOT (Project Leyden) fonctionne désormais avec n'importe quel garbage collector. JEP 517 : support HTTP/3 dans le client HTTP, HTTP/2 reste le défaut mais HTTP/3 est accessible à la demande. JEP 522 : amélioration du débit du GC G1 en réduisant la synchronisation entre threads applicatifs et threads GC. Nouveau support des UUIDv7 via UUID.ofEpochMillis(), naturellement triables et adaptés aux identifiants de bases de données. Process devient AutoCloseable, utilisable dans un try-with-resources. Aucune fonctionnalité en preview n'est graduée en standard ; Structured Concurrency en est à sa 6e preview. Librairies Guillaume a créé une petite librairie Java sans dépendance pour extraire le JSON d'une réponse d'un LLM un peu verbeux https://glaforge.dev/posts/2026/03/22/extracting-json-from-llm-chatter-with-jsonspotter/ Les LLM génèrent souvent du JSON, mais il est parfois entouré de bla-bla et/ou contient des erreurs (ex: commentaires, virgules finales) qui bloquent les parseurs JSON standards. Guillaume a créé une petite librairie légère sans dépendance pour localiser et extraire la structure la plus longue ressemblant à du JSON (même malformé) On peut ensuite passé cette chaîne à un parseur "lénient" (plus tolérant) comme Jackson pour ensuite avoir de bons vieux objets Java fortement typés Librairie dispo sur Maven Central ADK Java sort sa version 1.0 (Agent Development Kit par Google) https://developers.googleblog.com/announcing-adk-for-java-100-building-the-future-of-ai-agents-in-java/ ADK est un framework open source de Google pour créer des agents IA, initialement en Python, maintenant multi-langages (Python, Java, Go, Typescript). Nouvelles fonctionnalités majeures : Outils puissants : GoogleMapsTool, UrlContextTool, ContainerCodeExecutor, VertexAiCodeExecutor, abstraction ComputerUseTool. Architecture de plugins centralisée : Nouveau conteneur App pour gérer les Plugins à l'échelle de l'application (ex: LoggingPlugin, GlobalInstructionPlugin). Context engineering amélioré : Compaction d'événements pour gérer la taille des fenêtres de contexte (résumé et rétention). Human-in-the-Loop (HITL) : Supporte les workflows ToolConfirmation pour approbation humaine des actions d'agent. Services de session et de mémoire : Contrats clairs pour la gestion de l'état (InMemory, VertexAI, Firestore) et la mémoire à long terme. Support Agent2Agent (A2A) : Collaboration native entre agents distants de différents frameworks via le protocole A2A. Dans cet autre article, Guillaume partage comment il a développé l'application Comic Trip montrée dans la vidéo YouTube et qui utilise ADK 1.0 https://glaforge.dev/posts/2026/03/30/building-my-comic-trip-agent-with-adk-java-1-0/ Nouvelle version du SDK Java pour Agent2Agent Protocol, avec le support de la version 1.0 de la spécification https://medium.com/google-cloud/a2a-java-sdk-1-0-0-beta1-released-e83c414b34cc Alignement avec la version 1.0 de la spécification Nouveau groupId org.a2aproject.sdk et package org.a2aproject.sdk Protocoles de transport : support complet et équivalent pour JSON-RPC, gRPC et HTTP+JSON/REST. Gestion des erreurs : introduction de codes d'erreur et détails structurés pour une meilleure observabilité. Optimisation HTTP : ajout d'en-têtes de cache pour les métadonnées des agents (Agent Card). Flexibilité du client HTTP : support par défaut du JDK HttpClient, avec option Vert.x pour les environnements Quarkus. Nouvelles fonctionnalités techniques : méthode DataPart.fromJson() pour la création simplifiée d'objets depuis du JSON brut. Prochaines étapes (v1.0.0.GA) : support simultané des versions 1.0.0 et 0.3.0 du protocole pour assurer l'interopérabilité. JPA 4.0 Milestone 2 : nouvelles fonctionnalités pour Jakarta Persistence https://in.relation.to/2026/04/23/JPA-4-M2/ Jakarta Persistence (JPA) est la spécification standard Java pour le mapping objet-relationnel (ORM), implémentée notamment par Hibernate. JPA 4.0 M2 est la deuxième milestone de la prochaine version majeure de la spécification, annoncée par Gavin King. Construction de requêtes Criteria à partir de chaînes JPQL, offrant plus de flexibilité dans la composition dynamique des requêtes. Nouveaux types d'expressions spécialisés (TextExpression, NumericExpression) pour simplifier l'écriture des requêtes Criteria. Nouvelle interface FetchOption pour contrôler explicitement la stratégie de chargement des associations, dont un BatchSize intégré. Nouvelle annotation @EntityListener qui découple les classes entités de leurs listeners, supprimant les dépendances à la compilation. Les listeners peuvent cibler plusieurs types de callbacks et s'appliquer globalement à toute l'unité de persistance. Introduction de FlushModeType.EXPLICIT et QueryFlushMode pour un contrôle plus fin de la synchronisation avec la base de données. La méta-annotation @Discoverable permet de placer des annotations comme @NamedQuery sur n'importe quelle classe ou interface. Améliorations du DDL via @Index amélioré et clarifications de la spécification via la javadoc. Quarkus 3.35 : tree-shaking, PGO et AOT Semeru https://quarkus.io/blog/quarkus-3-35-released/ Quarkus est un framework Java cloud-natif optimisé pour GraalVM et HotSpot, conçu pour les microservices et les environnements conteneurisés. Nouveau JAR tree-shaking expérimental : analyse des dépendances à la compilation pour supprimer les classes inutilisées. Sur le CLI Quarkus, cela supprime plus de 6 000 classes et économise environ 18 Mo (39,5 %). Support du Profile-Guided Optimization (PGO) pour les builds natifs via quarkus.native.pgo.enabled=true. Le PGO est une fonctionnalité Oracle GraalVM, non disponible dans la Community Edition. Support de l'AOT IBM Semeru : le démarrage passe de ~380 ms à ~190 ms dans les premiers tests. Nouvelle extension quarkus-reactive-transactions : support de @Transactional pour les méthodes Hibernate Reactive retournant Uni. Configuration CORS dédiée pour l'interface de management, indépendante de l'interface HTTP principale. Les tests n'utilisent plus les System Properties pour la propagation de configuration, facilitant la parallélisation future. Le serializer jackson sans reflection n'est pas le default du aux retours de cas limites, encore du travail This Week in Spring - 21 avril 2026 https://spring.io/blog/2026/04/21/this-week-in-spring-april-21-2026 Spring Framework 6.2.18 et 7.0.7 corrigent trois failles de sécurité : DoS via fichiers multipart WebFlux, empoisonnement de cache de ressources statiques, et DoS sur Windows. Le support open source de Spring Framework 5.3.x et 6.1.x est terminé, la migration est recommandée. Spring Data 2026.0.0-RC1 introduit l'upsert (MERGE/INSERT ON CONFLICT) dans l'API Template de Spring Data Relational. Spring Data ajoute un RedisMessageSendingTemplate pour la cohérence avec les listeners Redis, et une optimisation de réinitialisation de caches en un seul appel. Spring AI introduit une Session API (série Agentic Patterns, partie 7) : architecture event-sourcée pour la mémoire des agents IA. La Session API supporte la compaction turn-safe, l'isolation de sous-agents en parallèle, et la persistence JDBC (PostgreSQL, MySQL, MariaDB, H2). Elle vise Spring AI 2.1 (novembre 2026) et remplacera à terme l'API ChatMemory. Spring Vault 4.1.0-RC1 et 4.0.2 sont disponibles. Netflix a présenté son usage de Java, Spring Boot et Spring AI dans une vidéo. This Week in Spring - 28 avril 2026 https://spring.io/blog/2026/04/28/this-week-in-spring-april-28-2026 Cette série hebdomadaire de Josh Long compile les nouveautés de l'écosystème Spring : articles, outils, podcasts et annonces de la communauté. Spring Boot 4 introduit un package natif de résilience org.springframework.resilience avec une nouvelle API de retry qui remplace les approches fragiles via Spring Retry ou Resilience4j. L'API retry native de Spring Boot 4 a des noms d'attributs et sémantiques différents des anciennes bibliothèques, rendant les tutoriels pré-2025 obsolètes et sources de bugs silencieux. Le SDK Spring AI pour Amazon Bedrock AgentCore est disponible en GA : il intègre les capacités AgentCore dans Spring AI via annotations et auto-configuration. Le SDK AgentCore gère automatiquement le contrat runtime AgentCore : endpoint /invocations, health check /ping, SSE avec backpressure. Il offre mémoire court terme (sliding window) et long terme (sémantique, préférences, résumé, épisodique), ainsi que des outils pour navigateur et exécution de code en sandbox. Un plugin Maven (Nullability Maven Plugin) simplifie l'intégration de JSpecify et NullAway pour enforcer la null-safety à la compilation dans les projets Java. Le plugin génère automatiquement les fichiers package-info.java par package et configure le compilateur pour traiter les violations de nullabilité comme des erreurs. Josh Long et Dr. Venkat Subramaniam ont co-présenté à Voxxed Days Amsterdam sur "Intelligent Kotlin", avec un épisode de podcast associé. Cloud Amazon S3 Files https://aws.amazon.com/about-aws/whats-new/2026/04/amazon-s3-files/ Amazon S3 Files est un nouveau service donnant un accès système de fichiers direct aux données stockées dans les buckets S3 Basé sur la technologie Amazon EFS, il supprime la barrière entre stockage objet et interface système de fichiers sans dupliquer les données Débit en lecture pouvant atteindre plusieurs téraoctets par seconde ; des milliers de ressources de calcul peuvent y accéder simultanément Les données restent accessibles via les deux interfaces : S3 API classique et système de fichiers standard, sans migration nécessaire Cas d'usage : agents IA pour la persistance de mémoire entre pipelines, équipes ML sans staging, simplification des data lakes Disponible dans 34 régions AWS Data et Intelligence Artificielle Comment générer de la musique et des clips audio en Java avec le modèle Lyria 3 https://glaforge.dev/posts/2026/03/25/generating-music-with-lyria-3-and-the-gemini-interactions-java-sdk/ Génération musicale avec Lyria 3 (DeepMind) et le SDK Java Gemini Interactions. Lyria 3 : modèle d'IA générative pour créer musique avec paroles ou pistes instrumentales. Utilisation via le SDK Java de l'API Gemini, nécessite une clé API Gemini. Deux versions de modèle Lyria 3 : lyria-3-clip-preview : Clips courts (30s), extraits. lyria-3-pro-preview : Chansons complètes (jusqu'à 3 min), structurées. Personnalisation via les prompts : Fournir ses propres paroles ou les faire générer. Contrôler la structure de la chanson ([Intro], [Verse], [Chorus], [Outro]). Générer des morceaux instrumentaux uniquement. Utiliser des images comme source d'inspiration (modèle multimodal). Sortie : Audio (MP3) et texte (paroles/structure) directement, sans décodage complexe. Facilite l'intégration de la génération musicale dans les applications Java. Les world model, la prochaine étape pour les IA https://www.lepoint.fr/sciences-nature/comment-le-commando-de-yann-le-cun-se-prepare-a-ringardiser-les-geants-mondiaux-de-lia-depuis-paris-OZVUWTDYBNE25C6WF44265ZQKE/ Yann LeCun a quitté Meta FAIR pour créer AMI Labs (Advanced Machine Intelligence) basée à Paris Sa thèse : les LLMs ne mèneront pas à l'intelligence générale, la vraie IA doit partir de la compréhension du monde physique AMI Labs a levé 1,03 milliard de dollars en seed (le plus grand seed round de l'histoire européenne) à 3,5 milliards de valorisation Les world models apprennent à prédire et comprendre la réalité physique plutôt qu'à prédire le prochain token d'une séquence Slogan d'AMI : "Real intelligence does not start in language. It starts in the world." Paris comme base stratégique pour challenger la Silicon Valley dans la prochaine rupture de l'IA Debezium 2026 : résultats du sondage communautaire https://debezium.io/blog/2026/04/27/debezium-2026-survey-results/ Debezium est un outil de Change Data Capture (CDC) open source qui capture les modifications de bases de données en temps réel pour les diffuser vers des systèmes comme Kafka. 98,6% des répondants utilisent Debezium activement ou prévoient de le faire dans l'année, avec 91,3% déjà en production. 63,8% des déploiements tournent sur Kubernetes, 60,9% utilisent Kafka Connect auto-géré, et 17,4% restent sur des VMs ou bare metal. Helm charts est l'approche dominante pour la gestion de configuration, souvent combiné avec GitOps, CI/CD, Ansible ou Terraform. PostgreSQL domine les connecteurs utilisés à 69,6%, suivi de MySQL (33,3%), SQL Server (29%) et Oracle (27,5%). Les volumes de changements capturés vont de 1-25 modifications par minute jusqu'à 1-2 millions par minute selon les environnements. Infinispan rejoint l'écosystème OGX comme fournisseur de stockage vectoriel https://infinispan.org/blog/2026/04/17/infinispan-joins-ogx-ecosystem OGX (anciennement Llama Stack) est un serveur API agentique open source pour construire des applications d'IA complètes. OGX compose des fournisseurs d'inférence, des stores vectoriels, des backends de sécurité, des runtimes d'outils et du stockage de fichiers en un seul serveur déployable. OGX se positionne comme une alternative à l'API OpenAI, déployable sur diverses infrastructures et modèles. OGX cible les workflows RAG (Retrieval-Augmented Generation) et les applications agentiques. Infinispan s'y intègre comme fournisseur de vector IO, apportant recherche vectorielle, par mots-clés et hybride. Je n'ai pas entendu parlé de ce renommage, vous le voyez dans vos deploiements ? Outillage cmux un nouveau terminal basé sur Ghostty spécialisé pour les coding agents https://cmux.com/ Application macOS native construite sur le moteur de rendu Ghostty (libghostty), offrant une accélération GPU pour une fluidité maximale Conçu spécifiquement pour le multitâche et les workflows assistés par IA, avec des onglets verticaux affichant la branche Git, le répertoire et les ports actifs Intègre des notifications qui illuminent les panneaux lorsqu'un agent IA (Claude Code, Codex, etc.) nécessite l'attention de l'utilisateur Propose un navigateur web intégré et scriptable qui peut être affiché en écran scindé à côté du terminal via une API Alternative moderne à tmux, ne nécessitant pas de fichiers de configuration complexes ou de préfixes de touches pour la gestion des vitres et des sessions Supporte nativement tous les agents de codage en ligne de commande et permet l'automatisation via une API socket et une interface CLI dédiée Git Worktree comme un chef https://www.metal3d.org/blog/2026/git-worktree-comme-un-chef/ Article par Patrice Ferlet Git Worktree: Travailler sur plusieurs branches simultanément via des répertoires distincts. Évite git stash ou clones multiples pour le changement de contexte rapide. Méthode "bare" (recommandée): Cloner le dépôt en mode bare (ex: .bare). Lier le dossier racine au dépôt bare via un fichier .git. Configurer le remote tracking pour voir toutes les branches distantes. Ajouter des worktrees pour chaque branche (git worktree add ). Avantages: Économie d'espace, source de vérité unique (un git fetch met tout à jour), hooks/configs partagés, sécurité. Conseils: Ne jamais faire de git checkout à l'intérieur d'un worktree. git fetch --all depuis n'importe quel worktree pour tout mettre à jour. git worktree add --detach pour tester des merges temporaires sans créer de branche. Supprimer: git worktree remove puis git worktree prune. Un script wtree est fourni pour automatiser l'initialisation du setup "bare". Améliore considérablement le workflow. L'IDE meurt et vite https://x.com/jdegoes/status/2036931874057314390?s=46&t=C18cckWlfukmsB_Fx0FfxQ Des leaders techniques prédisent la fin rapide de l'IDE traditionnel, remplacé par des interfaces conversationnelles agentiques Le changement de paradigme : le développeur n'écrit plus des lignes de code mais exprime son intention et supervise des agents autonomes Des outils comme Claude Code, Copilot et Cursor transforment déjà radicalement les workflows de développement quotidiens L'IDE centré sur l'éditeur de code perd sa raison d'être quand l'agent lit, modifie et structure le code de manière autonome La transition est comparable au passage du desktop au mobile : les pratiques établies depuis 30 ans remises en question en quelques mois Le source de Claude Code a leaké via probablement le codemap et un site decrit sont fonctionnement https://ccunpacked.dev/ Le 31 mars 2026, Anthropic a accidentellement inclus les sourcemaps dans un package npm de Claude Code, exposant ~512 000 lignes de TypeScript La fuite n'était pas un piratage mais une erreur humaine : un "*.map" oublié dans .npmignore Le site ccunpacked.dev a été lancé pour analyser et visualiser le code source décompressé Le code révèle un agent background permanent nommé "KAIROS", un mode furtif pour cacher les contributions des employés Anthropic à l'open source, et 44 feature flags cachés Une fonctionnalité inédite "Buddy" (animal de compagnie électronique dans le terminal) et un mode "dream" pour l'idéation continue ont été découverts Anthropic a confirmé : "Aucune donnée client sensible n'était impliquée. Erreur humaine dans le packaging de la release." Gemini CLI passe aux agents https://x.com/srithreepo/status/2039794081925382307?s=46&t=GLj1NFxZoCFCjw2oYpiJpw Gemini CLI, l'agent IA open source de Google pour le terminal, introduit des hooks dans sa boucle agentique Les hooks permettent d'exécuter des scripts automatiquement (scanners de sécurité, vérifications de conformité, logging) à chaque étape de l'agent Lancement de Gemini CLI GitHub Actions : un agent autonome pour les repositories qui peut exécuter des tâches de codage de routine Support des MCP servers pour étendre les capacités et des "Agent Skills" pour des workflows spécialisés Mode agent disponible dans VS Code et IntelliJ avec accès aux outils du système de fichiers et terminal Wispr, le speech to text en local sur macOS http://wispr.stormacq.com/ Wispr est une application macOS de dictée vocale entièrement locale, propulsée par Whisper (OpenAI) sur appareil, sans cloud ni tracking Sébastien Stormacq a développé Wispr en un jour et demi sans écrire une seule ligne de code, grâce à Kiro CLI (agent IA Amazon) Disponible en open source sur GitHub et via Homebrew Détection automatique de la langue, insertion du texte au curseur dans n'importe quelle application via un raccourci global En un mois : 19 releases incluant mode mains-libres, suppression des mots de remplissage, auto-envoi pour les chats, et un outil CLI Exemple concret de développement vibe coding produisant un outil de qualité production sans expertise Swift préalable Comment, Gordon, l'assistant spécialisé en Docker est né https://n9o.xyz/posts/202603-building-gordon/ Nuno Coração (n9o.xyz) détaille comment Gordon, l'assistant spécialisé Docker, a été construit sur docker-agent, le runtime d'agents IA open source de Docker écrit en Go Les agents sont définis en YAML déclaratif et distribués comme des artefacts OCI, sans mise à jour binaire nécessaire L'architecture initiale en essaim de 9 agents spécialisés a été abandonnée au profit d'un agent racine unique avec un prompt soigneusement conçu Le modèle utilisé est Claude Haiku 4.5, suffisant après optimisation des prompts Principe clé "show, then do" : toute action de l'agent nécessite une approbation explicite de l'utilisateur La description des outils impacte fortement la précision du LLM : ajouter des outils peut paradoxalement dégrader les performances existantes Le prompt est une spécification détaillée (identité, patterns d'accès fichiers, règles de sécurité) plutôt qu'une simple instruction IBM Bob https://bob.ibm.com/blog/announcing-ibm-bob-launch IBM Bob assistant IA d'IBM pour coder sur de vraies codebases (lancé avril 2026) 5 modes : Ask, Plan, Code, Advanced (MCP), Orchestrator Détecte la complexité du code en temps réel et propose des refactos Fait des revues de code automatiques sur tes branches/issues GitHub Permet d'écrire en langage naturel directement dans l'éditeur Fonctionne aussi en terminal/CLI et dans les pipelines CI/CD Sécurité : approbation manuelle, .bobignore, checkpoints, pas de training sur tes prompts How I use Claude - 50 tips pratiques https://www.youtube.com/watch?v=mZzhfPle9QU Staff Engineer Meta partage 50 tips après 6 mois d'utilisation intensive de Claude Code Basé sur ~12h/jour d'usage perso et professionnel Couvre tout : bases, workflows avancés, parallélisation Objectif : partager ce qu'il aurait voulu savoir dès le départ Méthodologies Quelqu'un rale sur la non soutenabilité des bases de code écritent avec des agents https://mariozechner.at/posts/2026-03-25-thoughts-on-slowing-the-fuck-down/ Mario Zechner estime que les agents IA font les mêmes erreurs répétitivement sans apprendre, accumulant la complexité à grande vitesse faute de bottlenecks humains Sans vision globale, les agents créent du cargo-cult : les "best practices" de l'industrie appliquées localement sans cohérence architecturale La croissance de la base de code dégrade la capacité des agents à retrouver le code existant → duplication et incohérences croissantes Il cite des pannes AWS et des initiatives qualité Microsoft comme signes préoccupants liés au code généré par IA Solution : réserver les agents aux tâches délimitées et évaluables, garder l'architecture, les APIs et les systèmes critiques écrits à la main Maintenir une revue de code rigoureuse et traiter les humains comme les gardiens finaux de la qualité On m'oblige à utiliser l'IA https://n.survol.fr/n/on-moblige-a-utiliser-lia Éric D. défend l'adoption obligatoire de l'IA comme décision stratégique légitime, comparable au choix du full remote ou de la stack technique Il distingue la décision stratégique (adoption IA) de la méthode d'accompagnement (qui reste collaborative et bienveillante) La compétence IA devient un critère de recrutement : chercher des candidats déjà curieux et explorateurs de ces outils L'alignement culturel sur les pratiques et outils est un prérequis à la cohésion d'équipe Le refus d'adopter certains outils stratégiques peut justifier de ne pas recruter un candidat autrement compétent Encore une metodo SPDD https://martinfowler.com/articles/structured-prompt-driven/ Problème : l'IA accélère le dev individuel mais amplifie ambiguïtés et incohérences à l'échelle d'une équipe. martinfowler SPDD : traiter les prompts comme des artefacts versionnés, révisables et réutilisables plutôt que des échanges jetables. martinfowler Canvas REASONS : 7 dimensions (Requirements, Entities, Approach, Structure, Operations, Norms, Safeguards) pour guider le LLM de l'intention à l'exécution. martinfowler Workflow en 6 étapes : exigences → analyse → contexte → prompt structuré → code → tests unitaires, chaque étape s'appuyant sur la précédente. martinfowler 3 compétences clés : abstraction d'abord, alignement de l'intention, revue itérative. martinfowler Limites : fort ROI sur du code métier complexe, peu adapté aux hotfixes urgents, scripts jetables ou travail créatif/visuel. m Sécurité Le projet Glasswing pour sécuriser les logiciels https://www.anthropic.com/glasswing Anthropic lance Glasswing, une initiative de cybersécurité utilisant Claude Mythos Preview pour identifier des vulnérabilités zero-day 12 partenaires fondateurs dont AWS, Apple, Cisco, CrowdStrike, Google, JPMorganChase, Linux Foundation, Microsoft et NVIDIA Anthropic investit 100 millions de dollars en crédits de modèle et 4 millions en dons aux organisations de sécurité open source Le modèle opère avec une autonomie substantielle, identifiant des milliers de vulnérabilités dans les OS, navigateurs et infrastructures critiques Plus de 40 organisations supplémentaires ont accès pour scanner et sécuriser leurs systèmes Objectif : donner l'avantage aux défenseurs avant que les techniques de hacking assistées par IA ne se généralisent chez les attaquants LinkedIn vous espionne https://frenchbreaches.com/blog/linkedin-est-accuse-de-fouiller-dans-votre-ordinateur-illegalement Scandale "BrowserGate" : LinkedIn injecte du JavaScript qui tente de détecter les extensions Chrome installées sur votre navigateur Le script analysé contient une liste codée en dur de 6 222 extensions Chrome avec identifiants et chemins de fichiers internes Croissance alarmante de la liste ciblée : 38 extensions en 2017 → 461 en 2024 → ~1 000 en mai 2025 → 6 222 début 2026 Les données collectées incluent aussi CPU, RAM, résolution d'écran, timezone et état batterie pour du fingerprinting Certaines extensions ciblées sont liées à la neurodivergence, aux pratiques religieuses ou aux opinions politiques → violation grave du RGPD LinkedIn défend que le scan vise uniquement à détecter les extensions qui pratiquent le scraping de données Post mortem de la supply chain attack sur la librairie NPM axios https://github.com/axios/axios/issues/10636 Le 31 mars 2026, deux versions malveillantes d'axios (1.14.1 et 0.30.4) ont été publiées via un compte mainteneur compromis Vecteur d'attaque : RAT installé via ingénierie sociale ciblée sur la machine personnelle du mainteneur principal La 2FA ne protège pas si la machine de l'utilisateur est compromise : l'attaquant contrôle tout et peut agir comme l'utilisateur Les packages malveillants injectaient plain-crypto-js@4.2.1, un cheval de Troie multi-plateforme (macOS, Windows, Linux) Détection communautaire en ~3 heures, suppression par npm, mesures correctives : rotation complète des credentials Changements préventifs : publication via OIDC, releases immuables, amélioration des pratiques GitHub Actions Passbolt un gestionnaire de mots de passe open source https://lesjoiesducode.fr/passbolt-gestionnaire-de-mots-de-passe-gratuit-open-source-que-votre-equipe-merite-vraiment Gestionnaire de mots de passe open source conçu pour le partage d'identifiants en équipe, utilisé par plus de 50 000 organisations Chiffrement individuel par utilisateur et par version de credential, pas de coffre-fort partagé — architecture zero-knowledge "Forward secrecy" : quand un membre quitte l'équipe, ses copies chiffrées sont automatiquement révoquées sans reset manuel Supporte TOTP, clés SSH, tokens API et champs personnalisés avec piste d'audit complète de tous les accès Édition communautaire entièrement gratuite avec utilisateurs illimités, auto-hébergeable ou cloud Chiffrement OpenPGP nécessitant passphrase + clé privée, avec tokens visuels anti-phishing Loi, société et organisation Anthropic fait un don d'1,5 millions de dollars à la fondation Apache https://news.apache.org/foundation/entry/the-apache-software-foundation-announces-1-5m-donation-from-anthropic Anthropic donne 1,5 million de dollars à l'ASF pour soutenir l'infrastructure, la sécurité et la communauté open source Vitaly Gudanets (CISO d'Anthropic) : "Soutenir l'ASF est un investissement direct dans la résilience et l'intégrité des systèmes dont dépend l'IA moderne" Les fonds financeront les systèmes de build, les processus de sécurité et les services aux projets Apache Ce don est le déclencheur de l'initiative IA responsable à 10 millions de dollars de l'ASF L'infrastructure Apache est invisible mais critique : des systèmes financiers aux plateformes de santé, elle sous-tend l'écosystème logiciel mondial L'ASF lance l'initiative IA responsable https://news.apache.org/foundation/entry/the-apache-software-foundation-launches-10m-responsible-ai-initiative-with-initial-1-75m-donation L'ASF lance une initiative pour une IA responsable dotée d'un budget de 10 millions de dollars sur 3 ans minimum Anthropic est le premier donateur avec 1,5 million de dollars ; Alpha-Omega contribue 250 000 dollars L'initiative fournit aux projets Apache un accès à des modèles IA pour l'expérimentation et la sécurité Elle soutient l'ensemble de la chaîne IA/ML : pipelines de données, infrastructure, frameworks de deep learning Des tracks de conférences, hackathons et bourses de voyage sont prévus pour élargir la communauté Les principes directeurs incluent la supervision humaine, l'intégrité des licences et la sécurité open source Oracle vire 30000 personnes https://rollingout.com/2026/03/31/oracle-slashes-30000-jobs-with-a-cold-6/ Oracle licencie 20 000 à 30 000 employés, 18% de ses effectifs mondiaux. Les salariés ont appris leur licenciement par un simple email à 6h du matin, sans aucun préavis. L'accès à tous les systèmes (Slack, Zoom, badges) a été coupé immédiatement après. But : libérer 8 à 10 milliards de dollars pour construire des centres de données IA. Oracle a déjà contracté 50 milliards de dettes en 2026 pour financer ses projets IA. Paradoxe : l'entreprise affiche un bénéfice record de 6,13 milliards, mais ses liquidités sont dans le rouge. L'action Oracle a perdu plus de la moitié de sa valeur depuis septembre 2025. Et si l'IA n'était qu'un prétexte pour licencier https://eventuallycoding.com/p/ia-licenciements-et-si-l-intelligence-artificielle-n-etait-qu-une-excuse Hugo Lassiège (eventuallycoding) estime que les entreprises utilisent l'IA comme narratif commode pour masquer des erreurs de gestion passées (Block a triplé ses effectifs post-COVID sans croissance des revenus correspondante) Moins de 1% des licenciements technologiques seraient réellement dus à des gains de productivité IA selon les analyses citées Mesurer la productivité des développeurs reste un problème non résolu, mais les entreprises affirment des gains d'efficacité sans preuves Des pressions économiques réelles (inflation, guerres commerciales, coûts énergétiques) sont masquées derrière le discours IA Les restructurations nécessaires sont présentées comme des transformations AI-driven positives pour rassurer les investisseurs Il y voit une fenêtre d'opportunité pour l'Europe pendant que les géants américains se restructurent GitHub Copilot va utiliser les interacitons pour entrainer ses modèles sauf si vous vous délistez https://github.blog/news-insights/company-news/updates-to-github-copilot-interaction-data-usage-policy/ À partir du 24 avril 2026, GitHub utilise par défaut les interactions des utilisateurs Copilot Free, Pro et Pro+ pour entraîner ses modèles Les données collectées incluent le code accepté ou modifié, les snippets envoyés, les noms de fichiers et structures de dépôts, et les retours utilisateurs Les utilisateurs Copilot Business, Enterprise et les dépôts d'entreprise sont exclus de cette collecte de données d'entraînement Opt-out disponible dans les paramètres GitHub > "Privacy" ; les préférences de désactivation préalables sont conservées automatiquement Objectif déclaré : améliorer la précision des modèles sur les langages et cas d'usage du monde réel Grosse percée de Claude Code dans les commits sur GitHub https://aifoc.us/damn-claude-thats-a-lot-of-commits/ Explosion de Claude Code : En six mois, Claude Code est passé de 0,7 % à 4,5 % de tous les commits publics sur GitHub, surpassant tous les autres outils d'IA combinés. Adoption massive des agents IA : Environ 5 % des commits publics sur GitHub sont désormais générés par des agents IA, un chiffre en croissance rapide depuis fin 2025. Domination des bots sur GitHub : Au-delà des commits, les outils d'IA sont omniprésents dans la gestion des pull requests et des problèmes (Copilot et CodeRabbit notamment). Limites méthodologiques : Les données ne concernent que les dépôts publics (les entreprises utilisent massivement des dépôts privés, invisibles ici). Le comptage dépend fortement de la visibilité des signatures (certains outils comme Claude marquent systématiquement leurs commits, d'autres non) L'API de recherche GitHub présente une fiabilité variable à cette échelle. Changement de paradigme : Le développement logiciel vit une transition majeure, comparable au passage du desktop au mobile. L'intégration des agents IA dans le cycle de production n'est plus une expérimentation, mais une réalité opérationnelle à grande échelle. Dysmaths une application pour aider à apprendre les mathématiques et la géométrie lorsque l'on souffre de dyspraxie, dysgraphie https://dysmaths.com/ Application web pour aider les élèves de collège et lycée souffrant de dysgraphie et dyspraxie à faire des maths et de la géométrie Outils de dessin à main levée, géométrie précise (compas, rapporteur, règle) et opérations structurées (fractions, racines, puissances, symboles mathématiques) Export PDF et PNG avec conservation fidèle de l'échelle pour l'impression et la soumission des exercices Options d'accessibilité : police OpenDyslexic, personnalisations d'interface, import d'images et de PDFs Répond à un besoin réel : les outils standards ne sont pas adaptés aux difficultés de coordination et d'organisation spatiale en mathématiques IA ou réalité ? Par Amistory https://www.youtube.com/watch?v=PPYdAhBBF2I L'IA génère des contenus (images, voix, vidéos) de plus en plus indétectables Les arnaques au clonage de voix et deepfakes sont en forte hausse Les faux contenus viraux manipulent l'opinion à grande échelle Le faux n'est plus un accident, c'est devenu un système organisé La société entre dans une ère de doute généralisé sur le réel Comment s'informer quand le réel lui-même peut être simulé ? Conférences La liste des conférences provenant de Developers Conferences Agenda/List par Aurélie Vache et contributeurs : 6-7 mai 2026 : Devoxx UK 2026 - London (UK) 12 mai 2026 : Lead Innovation Day - Leadership Edition - Paris (France) 12-13 mai 2026 : Lyon Craft - Lyon (France) 19 mai 2026 : La Product Conf Paris 2026 - Paris (France) 19-20 mai 2026 : Green Code Challenge - Paris (France) 21-22 mai 2026 : Flupa UX Days 2026 - Paris (France) 22 mai 2026 : AFUP Day 2026 Lille - Lille (France) 22 mai 2026 : AFUP Day 2026 Paris - Paris (France) 22 mai 2026 : AFUP Day 2026 Bordeaux - Bordeaux (France) 22 mai 2026 : AFUP Day 2026 Lyon - Lyon (France) 27 mai 2026 : aMP Day Strasbourg 2026 - Strasbourg (France) 28 mai 2026 : DevCon 27 : I.A. & Vibe Coding - Paris (France) 28 mai 2026 : Cloud Toulouse 2026 - Toulouse (France) 29 mai 2026 : NG Baguette Conf 2026 - Paris (France) 29 mai 2026 : Agile Tour Strasbourg 2026 - Strasbourg (France) 2-3 juin 2026 : Agile Tour Rennes 2026 - Rennes (France) 2-3 juin 2026 : OW2Con - Paris-Châtillon (France) 3 juin 2026 : IA–NA - La Rochelle (France) 4 juin 2026 : Workplace Intelligence Days - 1ère édition - Lyon (France) 5 juin 2026 : TechReady - Nantes (France) 5 juin 2026 : Fork it! - Rouen - Rouen (France) 6 juin 2026 : Polycloud - Montpellier (France) 9 juin 2026 : JFTL - Montrouge (France) 9 juin 2026 : C: - Caen (France) 9 juin 2026 : France API 2026 - Paris (France) 11-12 juin 2026 : DevQuest Niort - Niort (France) 11-12 juin 2026 : DevLille 2026 - Lille (France) 12 juin 2026 : Tech F'Est 2026 - Nancy (France) 15 juin 2026 : Jupyter Workshops: Demystifying MyST Markdown in Education - Orsay (France) 16 juin 2026 : Mobilis In Mobile 2026 - Nantes (France) 17-19 juin 2026 : Devoxx Poland - Krakow (Poland) 17-20 juin 2026 : VivaTech - Paris (France) 18 juin 2026 : Tech'Work - Lyon (France) 22-26 juin 2026 : Galaxy Community Conference - Clermont-Ferrand (France) 23-24 juin 2026 : MWCP 2026 - Paris (France) 24-25 juin 2026 : Agi'Lille 2026 - Lille (France) 24-26 juin 2026 : BreizhCamp 2026 - Rennes (France) 25-26 juin 2026 : Agile Tour Toulouse 2026 - Toulouse (France) 27 juin 2026 : Asynconf - Paris (France) 2 juillet 2026 : Azur Tech Summer 2026 - Valbonne (France) 2-3 juillet 2026 : Sunny Tech - Montpellier (France) 3 juillet 2026 : Agile Lyon 2026 - Lyon (France) 6-8 juillet 2026 : Riviera Dev - Sophia Antipolis (France) 28-30 août 2026 : State of the Map - Champs-sur-Marne (France) 4 septembre 2026 : JUG Summer Camp 2026 - La Rochelle (France) 10-11 septembre 2026 : Nantes Craft - Nantes (France) 17 septembre 2026 : dotAI - Paris (France) 17-18 septembre 2026 : API Platform Conference 2026 - Lille (France) 18 septembre 2026 : dotJS - Paris (France) 18 septembre 2026 : WordCamp Bretagne - Rennes (France) 22 septembre 2026 : Salon Data 2026 - Nantes (France) 22-23 septembre 2026 : Agile en Seine & IA 2026 - Paris (France) 24 septembre 2026 : OWASP AppSec Days France 2026 - Paris (France) 24 septembre 2026 : PlatformCon Paris - Paris (France) 24 septembre 2026 : React Native Connection 2026 - Paris (France) 24-26 septembre 2026 : Paris Web 2026 - Paris (France) 28-29 septembre 2026 : 4th Tech Summit on AI & Robotics - Paris (France) & Online 1 octobre 2026 : WAX 2026 - Marseille (France) 1-2 octobre 2026 : Volcamp - Clermont-Ferrand (France) 2 octobre 2026 : DevFest Perros-Guirec 2026 - Perros-Guirec (France) 5-9 octobre 2026 : Devoxx Belgium - Antwerp (Belgium) 12 octobre 2026 : Dev With AI - Paris (France) 27-29 octobre 2026 : Directions EMEA 2026 - Paris (France) 29-30 octobre 2026 : BDX I/O 2026 - Bordeaux (France) 30 octobre 2026 : Cloud Nord 2026 - Lille (France) 4-5 novembre 2026 : Devoxx Morocco - Casablanca (Morocco) 14-15 novembre 2026 : Capitole du Libre - Toulouse (France) 19 novembre 2026 : DevFest Toulouse 2026 - Toulouse (France) 27 novembre 2026 : DevFest Paris 2026 - Paris (France) 1-3 décembre 2026 : Apidays Paris - Paris (France) 4 décembre 2026 : DevFest Lyon 2026 - Lyon (France) 4 décembre 2026 : DevFest Dijon 2026 - Dijon (France) 9-10 décembre 2026 : OpenSource Expérience - Paris (France) 9-10 décembre 2026 : DevOps REX - Paris (France) 10 décembre 2026 : KCD Provence - Aix-en-Provence (France) 7-9 avril 2027 : Devoxx France 2027 - Paris (France) Nous contacter Pour réagir à cet épisode, venez discuter sur le groupe Google https://groups.google.com/group/lescastcodeurs Contactez-nous via X/twitter https://twitter.com/lescastcodeurs ou Bluesky https://bsky.app/profile/lescastcodeurs.com Faire un crowdcast ou une crowdquestion Soutenez Les Cast Codeurs sur Patreon https://www.patreon.com/LesCastCodeurs Tous les épisodes et toutes les infos sur https://lescastcodeurs.com/

Doug Houghton, director of global channels at Alkira There’s a line from this episode that’s worth leading with: “Networking is not sexy until it doesn’t work.” That’s Doug Houghton, Director of Global Channels at Alkira, and it’s a pretty concise summary of why his company exists. Alkira was founded by the team behind Viptela – the startup that essentially created the SD-WAN category before being acquired by Cisco. The lesson they carried out of that experience is that SD-WAN, for all its promise, still ran into the limits of underlying infrastructure. You ended up with disparate networks, latency constraints, and complexity that didn’t disappear – it just moved somewhere else. What they built in response is Network Infrastructure as a Service (NIaaS) – a cloud-native, consumption-based global backbone that abstracts multi-cloud connectivity into a single managed plane. The pitch to partners is concrete: consolidate 50 physical firewalls into virtualized functions, reduce total cost of ownership by 40-70%, and do it without a rip-and-replace cycle. The timing matters, and Houghton is direct about why. AI workloads – distributed large language models, agentic workflows reaching across multiple clouds simultaneously – demand a level of network elasticity that legacy infrastructure simply wasn’t designed for. Alkira’s argument is that they’re the smooth road that makes AI-driven infrastructure actually work in practice. For Canadian partners, Alkira has real resources on the ground: a solution architect based in Toronto, a dedicated channel account manager, and publicly referenceable Canadian customers including contact center provider ContactPoint 360. The Connect Partner Program, launched in March 2026, puts approximately 20 percent total margin on the table across base discount, rebates, MDF, and POC SPIFFs – with average initial deals around $500,000 USD and typical expansion of 4x in year one. Canadian partners interested in the conversation can reach the team at partners@alkira.com. Read Full Transcript Robert Dutt: Hello and welcome to In The Channel from ChannelBuzz.ca, bringing news and information to the Canadian IT channel community for the last sixteen years. I’m Robert Dutt, editor of ChannelBuzz.ca and your host for the show. If you were around when SD-WAN was the big disruptive idea in networking – the promise of simplifying branch connectivity, cutting costs, getting smarter about traffic – you probably also remember it didn’t quite deliver everything it promised. Not because the technology was bad, but because the underlying network architecture couldn’t keep up. You still ended up with complexity. It just moved somewhere else. That problem is essentially the founding insight behind Alkira. The company was built by Amir Khan and Atif Khan, the same team behind Viptela, the startup widely credited with creating the SD-WAN category before Cisco acquired it. What they learned in that experience is that SD-WAN, without a proper global backbone, just creates a different set of headaches. So they started fresh and built what they call NIaaS – Network Infrastructure as a Service – a cloud-native, consumption-based approach that abstracts the complexity of multi-cloud connectivity into something you could stand up, as my guest today puts it, with just a username and a password. The timing is not accidental, because what AI demands from a network – elasticity, low latency, the ability to reach distributed workloads almost anywhere instantly – is exactly what legacy infrastructure wasn’t built to handle. My guest is Doug Houghton, Director of Global Channels at Alkira. Doug has been in the channel a long time, knows the technology in a way that might genuinely surprise you coming from a channel chief, and has a lot to say about what it all means as a real business opportunity for Canadian VARs and MSPs. Let’s get right into it, my chat with Doug Houghton. Doug, thanks for taking the time. I appreciate it. Doug Houghton: It’s my pleasure. Thank you for having me on today, Robert. Robert Dutt: So you were part of the team that built up the SD-WAN market at Viptela back in the day. What did you learn there that told you the next big thing was going to be NIaaS, and why now? Doug Houghton: First off, that’s a great question. I felt a bit like a passenger in a car racing a thousand miles an hour when we were doing software-defined wide-area networking. What we learned was that without organizing your cloud infrastructure properly, your cloud bill gets ridiculously large – especially if you keep your control element decoupled from your data plane in the cloud with all these workloads churning. But what we really learned, and what’s applicable to what we’re now doing at Alkira, is that SD-WAN truly did deliver on its core promise. It allows customers to influence traffic based on link quality and improve the user experience. If you’re on a phone call and it starts to get goofy, you can move over to a better-performing link in real time without dropping the call. That’s powerful. And the same with data traffic. What I hadn’t fully thought through was what happens as global companies start to adopt SD-WAN and disaggregate across locations in Southeast Asia, China, Latin America, and everywhere else. The latency back to the control element isn’t easy to contend with. So you ended up with organizations making decisions that effectively created four separate, disparate networks for latency purposes. And that was not part of the original promise. What we learned was that you need a global backbone that’s high throughput and low latency. The edge can still be SD-WAN – there are real things in SD-WAN that people still want, whether that’s WAN optimization, deduplication, caching, policy-based routing, forward error correction. All of that still has practical application, and site-to-site communications are still needed in many use cases. But Alkira was built inside the cloud first, employing the same principle of decoupling control plane from data plane for scale. By abstracting the cloud infrastructure, we were able to remediate the latency that those four geographically dispersed networks created. We’re the global backbone – that middle mile with high throughput and low latency – and then you connect these clusters of SD-WAN networks together and all of a sudden the promise of SD-WAN gets a lot more consumable. You have a singular network managed from a singular control plane and element management orchestrator, and you can still get all the benefits of SD-WAN at the local sites. Robert Dutt So in plain language, a Canadian MSP or VAR is used to selling network hardware or managing someone else’s infrastructure. How is selling, deploying, and managing NIaaS different from what they’re already doing, and what makes that distinction important? Doug Houghton: Let’s take a half step back and talk about what NIaaS actually is. It’s Network Infrastructure as a Service. What Alkira does is abstract the cloud infrastructure and build a routed overlay on top of it. We think of it as a virtualized colocation facility that connects and normalizes communications across your entire network. For managed service providers and service providers, our solution accelerates bringing their customers to cloud applications, cloud workloads, storage, and everything else the cloud promises. The way I explain it to my mom – and I’ve told this joke once already today because I’m sitting in a partner’s office right now – is this: if you went to Russia, Japan, Argentina, and San Francisco all in one day and had to transact in each place, and you could speak the native language in each one, that would be ideal. What we focused on was normalizing communications regardless of the cloud service provider, colocation provider, data centre – private or public – or whatever type of router is at the branch office. As an MSP or service provider that comes in, what we give to our customers and partners is a username and a password. That lets you come in and – for your old-school folks in the audience – essentially etch-a-sketch your network together. You can turn a couple of knobs, and it’s not that we’ve cranked the amp up to eleven, we’ve just removed all the numbers and automated everything. It just knows what you want to do. It’s a routed BGP overlay with the control plane abstracted from it, so the forwarding plane can route around things like the CrowdStrike outage, or losing an AWS region – which happens more frequently than AWS would like to admit – or any cloud service provider incident. The multi-cloud reality has accelerated adoption, but it presents a new problem: you’ve got an AWS expert on staff, but you don’t have an Azure, GCP, OCI, or Alibaba Cloud expert. Those are all different languages. When I tell my mom that we normalize the communications between all the assets in the network and make it easy to connect to all of them, she gets that. For the MSP looking to monetize something new or add another revenue stream, we offer a couple of compelling things. In the middle of our stack, we place a solution inside the cloud – sitting in a VPC, VNet, VCN, or Google VPC – right in the middle of all the cloud, SaaS, and WAN workloads. We’ve pleased a lot of customers by lowering total cost of ownership through the consolidation of network services they already have in their environment, in the form of virtualized network functions. Take a Palo Alto firewall deployment – say you have fifty Palos out there, all talking to Panorama, with a security engineer managing policy centrally. Instead of having fifty firewalls on the ground, you consolidate them. You go from the ground – five to ten milliseconds to the nearest public cloud PoP – hop onto the Alkira fabric, and terminate that traffic on a virtual port on our exchange point. In the middle of that exchange point, sitting in a VPC or VNet, you place a Palo Alto virtualized network function. You get the IP address of the Panorama server, and if you didn’t tell the security engineer anything had changed, they would not know. The form factor changes, but not how they interact with Panorama, how they build policy, or anything about how they secure the traffic. That remains exactly the same. We virtualize the instance and place it on a global high-throughput, low-latency backbone inside our exchange point. We deploy exchange points in HA pairs, anywhere from 100 Mbps to 40 Gbps. The customer or service provider consumes one, and we maintain the other on their behalf – because every thirty days we’re fixing bugs and doing maintenance. We swing production workloads to the backup, do the work on the primary, then reverse the order, all while keeping these customers up and running. Because we’re delivering this as a service, it has to always be on. One of the most important architectural decisions we made from the start was ensuring those two exchange points are always running active-active in a full mesh configuration, buttressed by hundreds of other exchange points globally distributed – all synchronized and aware of each other’s states. Robert Dutt: You’ve said that legacy networks can’t handle what AI demands, specifically in terms of elasticity. Can you unpack that a little? When an MSP’s customer starts deploying language models or agentic workflows, what is it that actually breaks? Doug Houghton: Good question, and I’ll give you an honest answer. I’ve started to fall in love with Claude – I think it’s one of the coolest things in the world. I can do all sorts of creative things with it. But Claude isn’t talking only to me. He’s a bit of a flirt – he goes to a lot of different places to get knowledgeable about various things and produce the outcomes I’ve asked for. And those other places are where you run into problems. I used to say the three biggest AI providers are GCP, AWS, and Azure. That’s still largely true. But the likes of Anthropic and other AI labs are distributing LLM workloads everywhere. Without the right network underneath that, it’s like buying the hottest car and driving it down a pothole-filled road. What we offer is a high-throughput, low-latency, elastic network. If you need to turn it up in a heartbeat, you can. We helped complete the S&P Global and IHS Markit merger network integration in about a tenth of the time they expected, because we’re natively segmented. Think about those two networks as large datasets that AI agents need to access. You have to secure the traffic, and you need it to be elastic – able to reach anywhere, instantly, to produce the outcome the agent was asked for. The ability to go anywhere on a road that’s smooth as glass, in the hottest car possible – that’s what we offer. Our network infrastructure solution is an abstraction: a forwarding plane that goes everywhere, and your imagination is really the only limitation. Speed, elasticity, and securing access – even for agentic, self-directed workflows – it’s still a critical element. And nobody – I said this earlier today, so I’ll say it again – networking is not really sexy until it doesn’t work. If I have to get in and route-peer and manually configure transit gateways, I’m going to punch myself in the face repeatedly. I just don’t want to do it. It slows everything down. I can automate it with Terraform, sure. But I want to consume it now. I want to prompt it now. I want the outcome now. Robert Dutt: You’ve launched Alkira NIA, your AI co-pilot and network infrastructure assistant, along with an MCP server last year. It’s interesting – you’re essentially putting AI on top of the infrastructure that’s enabling AI. What does NIA actually do for an MSP’s day-to-day operations? Doug Houghton: Maybe I have a limited imagination, but I still use it like a utility. NIA is great because it allows you to search through all our documentation in a more organized way. We have amazing documentation – there’s a lot of it – and when you’re looking for a specific configuration or something captured in a knowledge base, that tool is really useful. But continuing the utility theme: how do I do something? If I want to create a micro-segment to distribute to a bunch of business units, or build an isolated Layer 3 routing table and get it to various business units, and then set up billing with specific billing tags for each segment – I know how to do that because I’ve done it many times. But a new user may not. You can use the NIA agent to search the documentation, search previous implementation notes, best practices, all of that. That’s real value. But you can also ask it something like “why is the sun bright” and it won’t return the answer you expect. I’ve done that too. Robert Dutt: Let’s talk about the Connect Partner Program and the economics. You’ve got the Partner Profit Stack – tiered margins, quarterly rebates, MDF, SPIFFs, the Connect Pipeline Fund. It’s a full toolkit, and it’s stuff partners have seen before. What’s the real math? What does a Canadian MSP at the Premier tier actually walk away with on a typical deal after they’ve done the work? Doug Houghton: Usually about nineteen percentage points – maybe a little more. On the pre-sale side, when we get into a POC, our Premier partners can earn a $1,000 SPIFF. We close about 85% of our POCs, so there’s real value in that. Add in the rebates and MDF access, and the total haul is closer to 20% on each deal. Worth mentioning: we’ve been a 100% channel company since May 2022. My partner David Klubinoff, my technical counterpart – we worked together at Viptela and we started the Alkira channel together. It took a couple of weeks to convince our CEO that going 100% channel was the right call. I think he’s a believer now. We’ve driven significant revenue for the company, and our partners are our thought leaders – out in the market talking about our solution and solving customer problems. I was in Chicago yesterday doing a technical enablement session with thirty-plus SAs and SEs. We had the classic SD-WAN questions, and a lot of questions about segmentation and M&A. There’s enormous consolidation happening in insurance, healthcare, and other sectors, and the overlapping IP address problem that comes with mergers is something MSPs face all the time. We’ve entirely simplified that. You build a NAT policy right in the solution and the overlapping IP issue is resolved within an hour. In the case of S&P Global and IHS Markit, they thought their merger network integration was going to take a couple of years. The issue was largely the overlapping IP addresses – IHS couldn’t talk to the HR applications at S&P, and vice versa, plus all the other interdependencies. You need a fast way to solve the overlapping IP problem before you can even get to the real work. That’s been a core design element of our solution from the very start: take care of the small things, and people can move faster and get to market faster. Our biggest MSP – and this is a publicly referenceable customer – is CEDA, a French-based organization that provides managed network services to 95% of the world’s airlines. For them, it means being able to turn up a new customer faster, connecting on-premises assets to their control elements so they can begin actually managing that network. Speed, and the efficiencies and cost reductions that come from it – that’s what it does for all MSPs. If you’re consolidating fifty firewalls into virtualized functions, you’re making a good commission, getting MDF support, quarterly rebates, and a SPIFF when you engage us collaboratively on a POC. All of that happens at an accelerated rate. I’ve been screaming from the mountaintop about our solution for about four years. Invariably, you’d walk into a room, say “Hi, I’m Doug Houghton from Alkira,” and they’d say “Who?” That’s starting to happen a lot less, which is a genuinely nice thing. Over the last twelve to twenty-four months, the business has grown exponentially, the diversity of our partner ecosystem has increased, and partner margins have been very healthy. The tiered structure was really about celebrating partners who have invested in us. Honestly, I’m waiting for the day my boss tells me to stop incentivizing partners – because when that happens, I’ll know we’ve hit the apex. Our partners will be generating so much revenue that someone gets uncomfortable with what we’re paying out. I can’t wait for that day. Some of the more interesting things in the program came from actually listening. I went around and talked to a bunch of partners about their ideal partner programs and built from there. And one of the realizations – I thought it was significant – was what we were actually doing on the post-sale side. We white-glove every implementation right now, because it’s critically important to us. We haven’t lost a customer, and we intend to keep it that way. But that doesn’t scale forever. So the question became: why don’t we help our partners productize the post-sale work? We built a product catalog, a pricing calculator, and a new partner portal we’re about to release, with its own AI agent for searching market assets. The product catalog was a light bulb moment. We pay healthy margins on the pre-sale side at every tier of Alkira Connect. But we had never touched the post-sale side at all. We’re largely automated and NIaaS is as simple as possible to consume – a username and a password. My thirteen-year-old could configure a network, and she’s really smart. But there’s still some implementation work. You still need to build policies in Panorama. There’s still DDI work. There are still services that partners can benefit from – and all partner types, MSPs, VARs, master agents, sub-agents, service providers, now have a post-sale commission opportunity. Robert Dutt: You mentioned services – you’ve got services attach plays around modernization assessments, segmentation design, migration sprints. Starting from zero, how long does it realistically take a partner to get their first deal with those services attached through the door, and what does the ramp look like? Doug Houghton: There’s a lot in that question. Let’s take a half step back. We have virtual sales and go-to-market training – three modules – and then five or six technical training modules. We’ve got a lab-in-a-box environment, foundational and advanced technical training, and DDI training. Partners typically start there. Then we run regular in-person and virtual sessions – one partner has regular office hours with me, my SE counterpart David, or our architect Christopher Arenas, and we just invite partners to come and ask questions. Getting partners genuinely comfortable with the technology is the most important thing we do, because nobody goes out and sells anything unless they’re confident they can explain how Alkira solves their customer’s problem. That’s what I’m doing in Chicago today. Our customers tend to be fairly large. We’ve got our first Fortune 10 customer now. The more complex the network, the larger and more global the deployment – multiple countries, security vendors, firewalls, DDI providers, load balancers, service providers, colos. We sit right on top of all of that. The average sales cycle is about 190 days – a little over six months. A newly enabled partner might encounter an M&A overlapping IP use case, recognize the problem, and say “I think we can solve this with Alkira.” They go through a POC together with us, the customer commits, and that first deal closes around 190 days. A little class week: it’s actually 190 and a half. The average deal size is about $500,000 USD. We then see significant expansion: typically 4x growth in the first twelve months after the initial close, and around 8x in the second twelve months. Real incentive to stick with it. We’re loyal – if the customer doesn’t kick the partner out, we go to bat with that partner on every expansion deal. We land, then expand, with the same partner. BNSF, one of our other public references, has expanded several times to address more and more use cases. The solution gets sticky and customers are genuinely surprised by how easy it is. On the post-sale side, we come in and help with implementation, especially early on. But we’re reaching the point where more capable partners can handle it themselves. We’re building a post-sale certification for Alkira right now. In the meantime, we ride shotgun through the first couple of implementations – virtually in Slack or in person – until partners are fully up to speed. All partners have access to our Slack channel, along with our entire solutions architecture and SE staff. One partner working on a Fortune 10 engagement has a great habit of putting a subject header in Slack and starting a conversation. He’s been on services at this customer for three or four months – a significant engagement. He’s the one who originally described the network as a “spaghetti mess,” which I still chuckle about. I actually built the product catalog based on those Slack headers – pulled them together, socialized them with a group of partners, got input, and built from there. To directly answer your question: you’ve got to get through that first deal, and we’re going to ride shotgun with you through the first couple of implementations. The partner learns, gets comfortable, can monetize it, and can deliver independently from there. We have no illusions about going back to being a direct company after May 2022. It’s ride or die – 100% channel, and we enable our partners to solve their customers’ problems and support them while they do it. Because our partners have been our biggest growth engine. Robert Dutt: You’ve talked about a goal of doubling revenue through partners. What does the ecosystem look like when you get there? This sounds like it could primarily be a GSI or large integrator play, given the customer complexity you’re describing. Or do you genuinely see a path for mid-market MSPs and VARs to build a meaningful NIaaS practice? Doug Houghton: Another tough question. Yes, I do have GSIs as partners. We have a fairly robust and diverse partner ecosystem, and we see small shops rising up while larger shops are moving a bit more slowly, honestly. We’re still in that brand awareness honeymoon period – people are realizing our technology is compelling, getting themselves enabled. Some large partners we’ve recently brought on are still ramping. The biggest and most established organizations aren’t yet as capable as they will be, but we’re working diligently on that. Some of our smaller partners, on the other hand – I’m thinking of a friend of mine in Utah who is just an absolute champion. He knows our solution better than almost anyone. He closed six or seven deals in the past year, supported the implementations, did it largely on his own, because he’s curious, motivated, read all the documentation, and has been through full implementation cycles with us. He works at a ten-person shop. They just happen to have really good customers, and he knows the solution cold. So we’re at different stages with different partners in terms of maturity. The answer to your question is genuinely both. The small shop in Utah and the large national partner dedicating more resources as they see more customer problems Alkira can solve – we see wins across both. In the networking space, a six-month sales cycle is about as fast as it gets. I’m giving you a username and a password and you’re going in and connecting all of a customer’s assets together. The path exists for partners of every size. Robert Dutt: You’ve called out Canada specifically in your expansion plans, alongside the UK, EU, and the Middle East. What does that look like operationally – localized support, a Canadian channel team – or is it more of a global platform available to Canadian partners? Doug Houghton: Let’s talk personnel. We have a dedicated rep in eastern Canada, based out of New Hampshire, and a brilliant solutions architect just outside of Toronto. We’ve got a channel account manager – very capable teammate of mine, Savannah Stone – and the entire global solutions architecture staff accessible via Slack. We recently closed a very significant logo in Canada – a large insurance company – and our publicly referenceable Canadian customer is ContactPoint 360, a contact centre and BPO provider. They wanted to connect their Latin American operations back to Canada and couldn’t find an effective way to do it without us. We route them through the US West region, and the results have been excellent. We’ve also added CDW Canada as a partner, and I’ve got a value-added distributor that helps with field events. It’s not a massive footprint yet – it’s a bit of “they come first, then we build” – but there is a tremendous amount of opportunity in Canada and in Latin America that I’m genuinely excited about. Nobody’s told me no yet on spending budget, so here we go. A great story on the Canadian side: a gentleman named Chris Thelosinos, an architect and consultant who works with others in our space, is a member at a wine shop in Toronto. During the Toronto International Film Festival last year, we hosted a wine event right next to TIFF. I don’t drink alcohol, so it was entirely about the conversations for me – and I had the best time. We had significant customers come out, and the demand for simplicity, ease of implementation, and everything Alkira does well was just as strong in Canada as anywhere else. The market need is real. We talk about global backbone as a service all the time. Connecting China to San Francisco carries a distance and time tax, but it’s easy to configure. For organizations navigating geopolitical complexity around China access, or needing GPU connectivity in and out, we just abstract the Azure and AWS mainland China instances. They operate the same way as their Canadian or US equivalents. And you can consume it pay-as-you-go – stop using it, stop paying for it. That’s a compelling model for MSPs looking to grow into different regions. Robert Dutt: Last question then. For that Canadian MSP who’s listened to this and is thinking, “This sounds like a real opportunity” – what’s the one thing you’d want them to take away and act on? Doug Houghton: I’d ask them to go to partners@alkira.com and send us a note. And I will ply them with all sorts of content – videos, learnings, deal registration information, everything they need to get started in the space. Tongue in cheek, and also completely seriously: partners@alkira.com. If you’re looking to grow your business as a managed service provider – managed network, managed security, managed load balancing, managed DDI, managed connectivity – we’re a really great place to start. Because it’s never unpopular to walk into a customer and solve their problem quickly and say, “I can help you with X, Y, and Z, and I can do it in the next couple of hours – and that’s going to drive a total cost of ownership savings of 40 to 70%.” Nobody ever kicks you out of the office when you say something like that. Robert Dutt: Amazing. Doug, I appreciate you taking the time. Thank you very much. Doug Houghton: Robert, thank you for the engaging conversation. I hope your listeners get some good stuff out of it. Robert Dutt: There you have it – Doug Houghton from Alkira. I’d like to thank Doug for his time, and honestly for being one of the more entertaining guests I’ve had on in a while. “Networking is not sexy until it doesn’t work” is a line I’m going to be thinking about for a while. Thanks to you for listening as well. If this conversation sparked something – whether it’s curiosity about NIaaS, the AI infrastructure angle, or what roughly 20% total margin on a $500,000 average deal could do for your business – Doug made it easy for you to take the next step. Drop a note to partners@alkira.com. That’s the front door. And from what I heard today, they will absolutely get back to you. Here’s the thing that stuck with me most in this conversation: the argument that the AI moment isn’t just a software or services play. It’s going to force a reckoning with network infrastructure that a lot of organizations have been deferring for years. The partners who treat that reckoning as an opportunity rather than a fire drill are probably going to look very smart in about three years. If you’re finding the In The Channel podcast from ChannelBuzz.ca useful, the best thing you can do is follow or subscribe wherever you get your podcasts. We’re on Apple Podcasts, Spotify, YouTube, and most major directories. And if you’re enjoying the show, ratings and reviews are genuinely appreciated – they help other people in the Canadian channel find us. Until next time, I’m Robert Dutt for ChannelBuzz.ca, and I’ll see you in the channel.

In today's Cloud Wars Minute, I explain why Oracle's AWS partnership signals a new era of cloud interoperability. Highlight 00:03 — Recently, my colleague Bob Evans reported on a new initiative from AWS called Interconnect multicloud aimed at enhancing the company's multi-cloud offerings. Now, Oracle has announced that it will leverage AWS Interconnect multicloud to expand its multi-cloud networking capabilities. 00:31 — Oracle is enabling high-performance connectivity between Oracle Cloud Infrastructure and AWS by connecting Oracle Interconnect with AWS Interconnect multicloud. Now, as a result, Oracle customers will gain, and I quote, access to "a fast, private, managed connection to run applications and move data seamlessly between OCI and AWS." 01:00 — This new connectivity will support both full and split-stack multi-cloud deployments, empowering customers to confidently leverage the benefits of both cloud providers without the management complexity that previously posed major challenges. 01:14 — Nathan Thomas, Senior Vice President, Product Management at Oracle Cloud Infrastructure, said the following: "Oracle continues to advance multi-cloud connectivity as part of its commitment to help customers unlock flexibility, agility, and performance across clouds." 01:40 — Once again, we see Oracle at the forefront of multi-cloud connectivity, quickly integrating with a competitor's product to ensure that its customers are always in a position to realize their business ambitions, most notably in the AI space, without the issues of dispersed systems, data silos, and latency. Visit Cloud Wars for more.

Hosts Lois Houston and Nikita Abraham are joined by Brent Dayley, Senior Principal APEX and Apps Dev Instructor, to explore the latest vector AI supporting features in Oracle Exadata and GoldenGate 23ai. The conversation begins with an overview of Exadata's capabilities and then shifts to how GoldenGate is powering distributed AI, real-time data streaming, and analytics with advanced microservices architecture. Brent highlights recent GoldenGate enhancements, including distributed vector support, robust monitoring, OCI IAM integration, and support for next-generation AI workloads via real-time vector hubs.   Oracle AI Vector Search Deep Dive: https://mylearn.oracle.com/ou/course/oracle-ai-vector-search-deep-dive/144706/ Oracle University Learning Community: https://education.oracle.com/ou-community LinkedIn: https://www.linkedin.com/showcase/oracle-university/ X: https://x.com/Oracle_Edu   Special thanks to Arijit Ghosh, Anna Hulkower, and the OU Studio Team for helping us create this episode.   Please note, this episode was recorded before Oracle AI Database 26ai replaced Oracle Database 23ai. However, all concepts and features discussed remain fully relevant to the latest release.   -------------------------------------------------------   Episode Transcript:   00:00 Welcome to the Oracle University Podcast, the first stop on your cloud journey. During this series of informative podcasts, we'll bring you foundational training on the most popular Oracle technologies. Let's get started! 00:26 Lois: Hello and welcome to another episode of the Oracle University Podcast! I'm Lois Houston, Director of Communications and Adoption Programs with Customer Success Services, and with me is Nikita Abraham, Team Lead of Editorial Services with Oracle University.  Nikita: Hi everyone! Thanks for joining us! In our previous episode of this series, we took a deep dive into Oracle AI Vector Search and Retrieval Augmented Generation, or RAG, showing how unstructured data can be transformed into embeddings to power smarter, more context-aware AI with Oracle Database 23ai. Lois: That's right, Niki. We also explored how the OCI Generative AI service can be used with both Python and PL/SQL, and how AI Vector Search enables relevant information retrieval for large language model prompts. 01:21 Nikita: Today, we're focusing on the latest supporting features for Oracle AI Vector Search. Joining us once again is Brent Dayley, Senior Principal APEX and Apps Dev Instructor. Welcome back, Brent! To kick things off, could you outline what's new in Exadata with the 24ai release, particularly for AI storage? Brent: So Exadata has ushered in a new era of AI capabilities with 24ai release. Key features of Exadata system software 24ai include AI Smart Scan, Exadata RDMA Memory, known as XRMEM, Exadata Smart Flash Cache, and on-storage processing.  In-Memory Columnar Speed JSON Queries, Transparent Cross-Tier Scans, and caching enhancements, including Columnar Smart Scan at Memory Speed, Exadata Cache Observability, and Automatic KEEP Object Load into Exadata Flash Cache.  Now, Exadata system software 24ai is a significant release. It ushers in a new era of AI capabilities for Oracle Database users.  Now there have been some infrastructure improvements, including the ability to increase the number of virtual machines on X10M and Secure Boot for KVM Virtual Machines.  We have also improved and enhanced high availability and network resilience, including improved RoCE Network Resilience and enhanced RoCE Network Discovery. There have been some enhancements for monitoring and management, including AWR and SQL Monitor Enhancements and JSON API for Management Server.  Additionally, security enhancement. SNMP Security. Now, Exadata system software 24ai is supported on Exadata database machines and storage expansion racks from X6 and newer.  03:40 Lois: Those are some fantastic advancements for Exadata users. Now, let's pivot to distributed AI. Brent, can you walk us through how GoldenGate enables distributed AI? Brent: Let's take a look at some common GoldenGate use cases as a refresher. The first use case is multi-active, high availability, and cross-region deployments, spanning on-premises and cloud environments.  Another use case includes data offloading and data hub creation in order to support multiple downstream applications. Real-time data stores for Downstream Marts and Analytics. Micro and mini services architecture and an audit history of transactions.  Other use cases include migrations and upgrades of databases, including OCI-hosted databases. Another use case would be creating analytic data feeds for various applications, including SaaS and on-premises apps. And finally, stream analytics using application and transaction events captured by GoldenGate Stream Analytics.  05:03 Nikita: We know GoldenGate has long been a staple for enterprise data integration. So Brent, what makes GoldenGate the best choice today, and how has its architecture evolved? Brent: It offers DIY Stream Analytics. GoldenGate does remain the top choice for Enterprise Standard, real-time data streaming. It supports Oracle and third-party databases, vector sources, messaging systems, and NoSQL databases.  OCI offers a fully managed pipeline builder for Stream Analytics. This pipeline leverages various OCI services, such as OCI Streaming for real-time event ingestion, OCI Dataflow for stream processing, OCI Big Data for data storage and processing, and OCI Stream Analytics for real-time event processing and analysis.  GoldenGate microservices, available since 2017 in Oracle GoldenGate 12.3, is used in over 4,000 deployments in OCI. Benefits of GoldenGate microservices include the ability to employ the same trusted Extract and Replicat processes as the classic architecture.  Provides flexible and secure remote administration through a user-friendly web interface or CLI. Deployable on-premises in OCI as a service and in third-party cloud environments. Simplified patching and upgrading process.  Now the GoldenGate architecture evolution. First, classic architecture that was deprecated in version 19c and desupported in 23ai. Microservices Architecture introduced in version 12.3 and is the recommended architecture. A migration utility is available to upgrade from classic to microservices architecture.  07:12 Are you ready to create and manage AI Agents in Fusion Applications? Check out the Oracle AI Agent Studio for Fusion Applications courses! Start with the Foundations course to build, customize, and deploy AI Agents, and then advance to the Developer Professional certification. Explore hands-on labs and real-world case studies. Visit mylearn.oracle.com for all the details.  07:39 Nikita: Welcome back! It sounds like the latest GoldenGate updates offer new features and integrations. Could you share more about these enhancements? Brent: There are many new features and enhancements in GoldenGate, along with microservices, including a redesigned GUI for enhanced usability. Integration with StatsD and Telegraf for monitoring and metrics. OCI IAM integration for secure access control.  JSON Relational Duality for flexible data handling. Next-generation AI with distributed vector support. PDB Extract Capture for efficient data extraction from Oracle Pluggable Databases. DDL notification on Target Tables for schema evolution management.  Support for non-Oracle and Big Data technologies. Online DDL and EBR enhancement for improved performance. Data Streams Pub-Sub for asynchronous data dissemination. Async API support for standardized event communication. High-availability clusters for increased resilience. Trail Files Management for efficient data storage. And support for new features in 23ai database.  It also includes integrated diagnostics for improved troubleshooting of IE and IR processes. And 30 or more OS and database certifications for wider platform support. @Dbfunction Mapping for custom data transformations. And lastly, GoldenGate free recipes for pre-built solutions and best practices.  New in GoldenGate, distributed AI processing with vector replication.  09:37 Lois: And what type of use cases does this enable? Brent: Migrating vectors into Oracle Vector Database. Replicating and consolidating vector changes. Implementing multi-cloud, multi-active Oracle vector databases. Streaming text and vector changes to search engines.  Key considerations include that embedding models must be consistent across all vector stores for effective similarity searches.  10:09 Lois: Now, many organizations wonder if they can use generative AI with their own business data. Brent, how do enterprises typically approach this? Brent: Organizations are using generative AI typically like this.  Building LLMs from scratch. Training models on proprietary data for specific tasks. Fine-tuning LLMs, adapting pre-trained models to a specific domain using private data. And prompt engineering with retrieval augmented generation or RAG. Augmenting prompts with relevant information retrieved from a knowledge base to improve the accuracy and relevance of LLM responses.  Now it's possible to create a real-time vector hub for GenAI. This hub can ingest real-time data from various sources, including Oracle and third-party relational databases, vector databases, third-party messaging systems, and NoSQL databases, business updates, documents, events, and alerts.  11:11 Nikita: And how does the vector hub work?  Brent: DML and DDL changes, vector changes, and prompt or chat history are used to enrich prompts. And embedding model generates embeddings from the text data.  Similarity search is performed on these embeddings to retrieve relevant information from the vector hub. The retrieved information is used to augment the prompt, leading to more accurate and trustworthy answers from the LLM. Now, the benefits of real-time data and generative AI include the ability to ensure answers are based on fresh business data. And helps reduce hallucinations in generative AI responses.  Actionable AI and machine learning from streaming pipelines allows data from ERP and SaaS applications, databases, event messaging systems, and NoSQL databases to be ingested into streaming pipelines. This data can then be used for AI and machine learning model training, similarity searches, machine learning tasks, external AI, and machine learning integrations, alerts, and data product creation.  12:25 Lois: So if you had to summarize, Brent, why does GoldenGate 23ai stand out for artificial intelligence workloads? Brent: Well, first up, it improves data quality for AI model training and fine-tuning. And secondly, it enhances retrieval augmented generation by providing real-time access to relevant business data, leading to more accurate and trustworthy generative AI responses.  Nikita: Thank you, Brent, for sharing your insights and detailing these exciting new features across Oracle's AI stack. If you'd like to dive deeper into these topics, don't forget to visit mylearn.oracle.com and look for Oracle AI Vector Search Deep Dive course. Until next time, this is Nikita Abraham… Lois: And Lois Houston, signing off! 13:16 That's all for this episode of the Oracle University Podcast. If you enjoyed listening, please click Subscribe to get all the latest episodes. We'd also love it if you would take a moment to rate and review us on your podcast app. See you again on the next episode of the Oracle University Podcast.  

In this episode of the Oracle University Podcast, hosts Lois Houston and Nikita Abraham are joined by Brent Dayley, Senior Principal APEX & Apps Dev Instructor. Together, they explore how to implement Retrieval Augmented Generation (RAG) using Oracle AI Vector Search and OCI Generative AI. Brent walks listeners through the similarities and differences between building RAG workflows with Python and PL/SQL, offering practical insights into embedding creation, semantic search, and prompt engineering within Oracle's technology stack.   Oracle AI Vector Search Deep Dive: https://mylearn.oracle.com/ou/course/oracle-ai-vector-search-deep-dive/144706/ Oracle University Learning Community: https://education.oracle.com/ou-community LinkedIn: https://www.linkedin.com/showcase/oracle-university/ X: https://x.com/Oracle_Edu   Special thanks to Arijit Ghosh, Anna Hulkower, Kris-Ann Nansen, and the OU Studio Team for helping us create this episode.   Please note, this episode was recorded before Oracle AI Database 26ai replaced Oracle Database 23ai. However, all concepts and features discussed remain fully relevant to the latest release.   --------------------------------------------   Episode Transcript: 00:00 Welcome to the Oracle University Podcast, the first stop on your cloud journey. During this series of informative podcasts, we'll bring you foundational training on the most popular Oracle technologies. Let's get started! 00:26 Lois: Hello and welcome to another episode of the Oracle University Podcast! I'm Lois Houston, Director of Communications and Adoption Programs with Customer Success Services, and with me is Nikita Abraham, Team Lead for Editorial Services with Oracle University.  Nikita: Hi everyone! If you joined us last week, you'll remember we explored AI Vector Search and how Retrieval Augmented Generation, or RAG, empowers large language models by surfacing relevant business content for smarter, more context-aware answers. Lois: That's right, Niki. We also looked at how unstructured data gets transformed into embeddings, how these vectors power semantic search, and how Oracle Database 23ai is uniquely designed to support these advanced AI workflows. Nikita: Today, we're building on that foundation with an exciting double feature. We'll start with an introduction to OCI Generative AI Service and how you can use it with Python, and then dive into Retrieval Augmented Generation with Oracle AI Vector Search and the OCI Gen AI service using PL/SQL. 01:32 Lois: And to walk us through these topics, we're delighted to welcome back Brent Dayley, Senior Principal APEX & Apps Dev Instructor. Brent, it's great to have you. So, tell us, how does the OCI Generative AI service use Oracle AI Vector Search? Brent: So OCI Generative AI service allows us to take user questions and augment those using external data from outside of the large language model that allows us to return augmented content.  We would leverage Oracle AI Vector Search in order to retrieve contextually relevant information. And we would create prompts that have some sort of a meaning to help guide the user to input the appropriate types of questions. And this allows us to retrieve the data using a large language model.  02:27 Nikita: What are the typical steps for implementing a RAG workflow using the OCI Generative AI service in Python? Brent: We would load the document. Transform the document to text. And then split the text into chunks.  So if you're talking about maybe a PDF that contains chapters, we might split the different chapters into individual chunks. We would then set up Oracle AI Vector Search and insert the embedding vectors. We would build the prompt to query the document. And then we would invoke the chain.  So first, you would load the text sources from a file. Open a terminal window and connect to your compute instance. And launch ipython to allow interactive work.  Ipython allows you to insert a series of steps in order to put different commands in different steps. You might load the source file called FAQs. Next, you would load the FAQ chunks into the Vector Database. You would create a connection and connect to your database. And then create the table. And then you would vectorize the text chunks and then encode the text chunks. And then insert the chunks and vectors into the database.  Next, you would vectorize the question. Define the SQL script ordering the results by the calculated score. Define the question. Write the retrieval code. And then execute the code. Finally, you would print the results. Then we would create the large language model prompt and call the AI generative LLM. Ensure that our prompt does not exceed the maximum context length of the model. And then define the prompt content.  We would then initialize the OCI client and then make the call.  04:47 Here's some exciting news! Oracle University has training to help your teams unlock Redwood—the next-gen design system for Fusion Cloud Applications. Learn how Redwood improves your user experience and discover how to personalize your Fusion investment using Visual Builder Studio. Whatever your role, visit mylearn.oracle.com and check out these courses today!  05:12 Nikita: Thanks, Brent. That gives us a nice overview of how Python can be leveraged with OCI Generative AI. Now, how would you compare working with Python for building RAG applications to using PL/SQL? Can you walk us through the high-level process for building a RAG solution in this environment? Brent: First, we would want to load the document. Next, we would transform the document into plain text. After that, we would take that text and split it into meaningful chunks. Next, we would go ahead and set up Oracle AI Vector Search and insert the embedding vectors. We would then build the prompt so that we can query the document. And then we would invoke all of those previous steps as our chain.  06:04 Lois: OK, and can we take a closer look at each of these steps?  Brent: Step 1, text extraction and preparation. So, let's imagine we have some sort of document that we want to use as the augmented information. We would load that document. Next, we would transform the document to text. And we have a function in the DBMS Vector Chain Package called util to text. And this is used to extract plain text from the loaded documents.  Next, we would want to split the text into meaningful chunks. The DBMS Vector Chain Package has another function called util two chunks, that allows us to divide the extracted text into smaller, more manageable pieces, which we call chunks.  07:02 Nikita: Once we have our text chunks ready, what's the next step to make our data searchable and useful for the large language model? Brent: Step number 2, we would want to go ahead and use embedding models in order to create our vectors. We would load multiple ONNX models into the database. And the reason we would do this is because models with a greater number of dimensions usually produce higher quality vector embeddings.  So you might want to load multiple different ONNX models into the database so that you can generate embeddings from each of the models, and then compare those vector embeddings using those different models. You would create vector embeddings using PL/SQL packages.  07:55 Lois: After embeddings are created, how does the solution find the most relevant content in response to a user's question? Brent: Step 3, we would then go and do a similarity search so that we can return a response. We would select the text chunks that have the relevant information for the input user question based on vector search. This allows for integrating with Oracle's Gen AI Large Language Model Service to generate responses. The process ensures that the large language model generates contextually appropriate and relevant answers for those users' queries.  Now, step 4 is to build the prompt, and I want to stress the importance of large language model prompt engineering. What this will do is to carefully craft input queries or instructions so that we can get more accurate and desirable outputs from the large language model.  This allows developers to guide the LLM's behavior and tailor its responses to specific requirements. This is what we call LLM Prompt Engineering. And it allows us, as I was saying, to craft input queries or instructions so that we can create more accurate and desirable outputs.  Next, we would use an example interactive RAG application that uses the Streamlit framework in order to create a user-friendly interface. This interface will allow us to upload documents, pose the question, and receive relevant answers generated by the underlying RAG pipeline within the database.  In the final step, we will have an input prompt that asks us to ask a question about the PDF. We will then type in some sort of a question relative to the PDF content. And then we would retrieve the return data based on the input question.  10:11 Nikita: Brent, thank you for walking us through both the Python and PL/SQL approaches for building RAG solutions with Oracle Generative AI. If you'd like to dive deeper into these topics, don't forget to visit mylearn.oracle.com and look for the Oracle AI Vector Search Deep Dive course. Until next time, this is Nikita Abraham… Lois: And Lois Houston, signing off! 10:33 That's all for this episode of the Oracle University Podcast. If you enjoyed listening, please click Subscribe to get all the latest episodes. We'd also love it if you would take a moment to rate and review us on your podcast app. See you again on the next episode of the Oracle University Podcast.

Join hosts Lois Houston and Nikita Abraham as they explore one of the most exciting innovations in enterprise AI: Retrieval Augmented Generation (RAG) powered by Oracle AI Vector Search. In this episode, Senior Principal APEX & Apps Dev Instructor Brent Dayley walks through the fundamentals of RAG, explaining how it combines Oracle Database 23ai, vector embeddings, and large language models to deliver accurate, context-rich answers from both business and unstructured data. Discover the typical RAG workflow, practical setup steps on Oracle Cloud Infrastructure, and how to work with embedding models for real-world applications.   Oracle AI Vector Search Deep Dive: https://mylearn.oracle.com/ou/course/oracle-ai-vector-search-deep-dive/144706/ Oracle University Learning Community: https://education.oracle.com/ou-community LinkedIn: https://www.linkedin.com/showcase/oracle-university/ X: https://x.com/Oracle_Edu   Special thanks to Arijit Ghosh, Anna Hulkower, Kris-Ann Nansen, and the OU Studio Team for helping us create this episode.   Please note, this episode was recorded before Oracle AI Database 26ai replaced Oracle Database 23ai. However, all concepts and features discussed remain fully relevant to the latest release.   ----------------------------------------------   Episode Transcript 00:00 Welcome to the Oracle University Podcast, the first stop on your cloud journey. During this series of informative podcasts, we'll bring you foundational training on the most popular Oracle technologies. Let's get started! 00:26 Nikita: Welcome to the Oracle University Podcast! I'm Nikita Abraham, Team Lead: Editorial Services with Oracle University, and joining me is Lois Houston, Director of Communications and Adoption Programs with Customer Success Services. Lois: Hi everyone! If you've been with us this season, you'll know we've already covered a lot about Oracle AI Vector Search. In Episode 1, we introduced the core concepts—how vectors let you search by meaning, not just keywords, and how embedding models translate your unstructured data into a searchable format inside Oracle Database 23ai.  Nikita: Then, in Episode 2, we took a deeper dive into how these vectors are actually stored and managed. We explored the different types of vector indexes, similarity metrics, and best practices for designing and optimizing your database for semantic search.  Lois: Right. Today, we're shifting gears into one of the most exciting real-world applications: Retrieval Augmented Generation, or RAG. You'll learn how RAG combines the power of Oracle AI Vector Search with large language models to answer natural language questions using both business and unstructured data.  01:39 Nikita: We'll walk through the workflow, highlight why Oracle Database is uniquely suited for RAG, and give you the essential steps to get started. Back again is Senior Principal APEX & Apps Dev Instructor Brent Dayley. Hi Brent! Could you explain what RAG is, and why it's important for working with AI and large language models? Brent: Well, RAG stands for Retrieval Augmented Generation. And this is a technique that allows us to enhance the capabilities of large language models, also known as LLMs, and this provides them with relevant context from external knowledge sources. This will allow the LLMs to generate more accurate, informative, and context-aware responses. Real world applications include answering questions, chatbot development, content summarization, and knowledge discovery.  02:35 Lois: Brent, what makes Oracle Database 23ai a good platform for implementing RAG workflows? Brent: Now, there are some key advantages of using Oracle Database 23ai as a RAG platform. These include native functionality, allowing built-in tools and packages specifically designed for RAG pipeline development.  Also, if you are a PL/SQL developer, then this will allow you to develop within a familiar and robust database environment. Also, Oracle has a plethora of security and performance tools. And this ensures enhanced security and optimized performance.  03:18 Nikita: What does a typical RAG workflow look like in Oracle Database 23ai? What are the main steps involved? Brent: Now, the primary workflow steps are going to be to generate vector embeddings from your unstructured data. You do this using vector embedding models. And you can generate those embeddings either inside or outside of the database.  Next, you need to store the vector embeddings, the unstructured data, and the relational business data, and you can store all of that in the Oracle Database. You might want to also create vector indexes that can allow you to run similarity searches over huge vector spaces with really good performance.  Finally, you need to query data with similarity searches. You can use Oracle AI Vector Search native SQL operations to combine similarity with relational searches to retrieve relevant data. And optionally, you can generate a prompt and send it to a large language model for full RAG inference.  04:30 Lois: Can you give us an example of how this workflow operates in practice? Brent: A user's natural language question is encoded as a vector and sent to AI Vector Search. Next, AI vector search finds private content, such as documents, that are stored in the database, and those will match the user's question. The content is then sent to Oracle's GenAI service to help answer the user's question. And then GenAI uses the content plus general knowledge to provide an informed answer back to the user.  05:14 Nikita: What does the overall user experience look like when interacting with RAG? How does Oracle ensure the answers are both accurate and up to date? Brent: In this case, we have a chatbot. This is the interface that we usually use to enable dialogue with the large language model. Now, in order to improve the quality of the answers, we want to search your private business data, and that allows us to pass the most relevant facts back to the LLM.  Next, we want to format the similarity search results as a prompt and context for the large language model. Now, this will allow us to use up to date facts as input to LLMs. And that will minimize the probability of the LLM hallucinating. And those high-quality responses are then returned back to the chatbot.  06:12 Lois: Brent, what does the setup process look like for getting RAG up and running with Oracle AI Vector Search on OCI? Can you take us through the main steps? Brent: First, you will log into OCI. Provide your cloud account name and click Next. There are also interfaces for signing in using a traditional cloud account. And if you're not an Oracle Cloud customer yet, you can also sign up using this page.  Next, after signing in, you will create a compute instance. And you will use Oracle Infrastructure Cloud Console in order to do this. And you will wind up with the user called OPC. You'll notice that you're using SSH in order to connect to your compute instance, and you're running a script in order to set up the Oracle Database.  After that, you will set up the Python environment, again using SSH to connect as an OPC user to your compute instance.  07:22 Do you want to optimize your implementation strategies? Check out the Oracle Fusion Cloud Applications Process Essentials training and certifications for insight into key processes and efficiencies across every phase of your Fusion Cloud Apps journey. Learn more at mylearn.oracle.com.  07:43 Nikita: Welcome back! So far, we've seen how Oracle AI Vector Search powers RAG, letting you surface relevant business knowledge for large language models and enhance their answers. At the heart of all this is the process of transforming unstructured data, like text or documents, into mathematical representations called embeddings.  Lois: Those embeddings are what make meaningful, semantic search possible. But have you wondered how those embeddings actually get created, or what goes on behind the scenes when you choose an embedding model?  Nikita: Up next, we'll take a closer look at embedding models themselves: what they are, how to use them inside Oracle Database 23ai, and how you can experiment with different models to get the results that best fit your business needs.  Lois: We'll walk through importing models, generating embeddings, and even how you can swap out embedding models to compare results. But before we get into the nitty-gritty details, let's quickly recap embedding models, since we've mentioned them in our previous episodes.  08:47 Nikita: Brent, for listeners who might need a refresher, can you explain what embedding models are and why they're so central to AI Vector Search?  Brent: AI Vector Search is based on similarity properties. You can search data by semantic similarity rather than by the actual values. Vector embeddings are created by embedding models to represent the unstructured data. So we have input data.  What we'll want to do is to use an embedding model to generate vector embeddings. And then the vector embeddings would be stored inside of a vector column in a table. We would then compare those vectors to each other using vector distance function.  And we would get the relevant content back based on the number of returns that we describe. For instance, maybe we want to bring back the five closest pieces of data compared to the input data.  There is a new function that allows you to generate vector embeddings that is called the vector embedding function. It allows you to generate vectors within the database.  10:08 Lois: Can you walk us through the practical steps for using embedding models with Oracle AI Vector Search? Brent: In order to create and set up a table, we might use the Python program called create_schema.py. And that will allow us to create a table.  We would ensure that the table was successfully created with the data. As an example, I would create a table called MY_DATA. Next, we would use a sentence transformers embedding model in order to vectorize the table. We can use the Python program, vectorize_table_SentenceTransformers.py. We would then query the MY_DATA table in the Oracle Database to verify that the data has been updated.  And then we would use sentence transformers in order to perform the similarity search. The Python program is called similarity_search_SentenceTransformers.py And what that would do is create the table and then perform a similarity search using the sentence transformers. Now what if you decide that you want to maybe change embedding models? Maybe you want to compare the results by using one particular model as compared to a different model.  So you can change the embedding model. And in order to do that, you would change the embedding model in both of the programs and re-vectorize the table using the vectorize_table_SentenceTransformers.py program. You would then use the new model with different words, possibly, and then compare and review the results, and then choose which one gets you back the data that you're looking for that is most similar.  12:02 Nikita: Well, that's a wrap on this episode. A big thank you, Brent, for sharing your expertise with us.  Lois: If you want to learn more about the topics we discussed today, visit to mylearn.oracle.com and search for the Oracle AI Vector Search Deep Dive course. Until next time, this is Lois Houston… Nikita: And Nikita Abraham, signing off! 12:25 That's all for this episode of the Oracle University Podcast. If you enjoyed listening, please click Subscribe to get all the latest episodes. We'd also love it if you would take a moment to rate and review us on your podcast app. See you again on the next episode of the Oracle University Podcast.

03-13-26 Recording of The Friday Night Groove on 88.3 FM WXOU, Auburn Hills, MI. Featuring another edition of OCIØ FM, a recurring series featuring some of the rising talent in Colombia's music scene. In this edition, the Medellín-based DJ, Sirius, drops an exclusive guest mix.   For more on the guest:  https://www.instagram.com/sirilume_ For more on the program: www.fridaynightgrooove.com For more on OCIØ: https://soundcloud.com/ociolabel

AI is reshaping how software gets built, how infrastructure gets deployed, and how platforms compete for relevance. On Episode 296, Patrick Moorhead and Daniel Newman break down GTC expectations, Microsoft's Anthropic-powered Copilot shift, Adobe's leadership transition, Apple's AI strategy, and the infrastructure debates shaping the next phase of enterprise AI. The handpicked topics for this week are: GTC and the Shift to Heterogeneous Compute: NVIDIA heads into GTC with growing pressure to articulate a broader heterogeneous compute strategy. Pat & Dan discuss CPUs, GPUs, inference accelerators, and how future AI workloads will increasingly span training, pre-fill, decode, and agentic workflows. Why the CPU Is Back in the AI Conversation: As agentic AI expands, CPU demand is moving back into focus. The hosts discuss why CPU-to-GPU ratios are tightening, why this matters for infrastructure planning, and how AI compute is becoming more diversified. Microsoft's Anthropic-Powered Copilot Shift: Microsoft is leaning harder into model optionality by integrating Anthropic into Copilot workflows. The bigger takeaway is not model preference alone, but Microsoft's distribution advantage, governance layer, and ability to bundle AI functionality directly into the enterprise productivity stack. The Semantic Layer and the Future of Enterprise Software: Rather than replacing core enterprise systems overnight, AI is increasingly being layered on top of existing platforms. The discussion highlights how enterprise software may evolve through AI wrappers, orchestration, and semantic interfaces rather than a complete replacement. Adobe's CEO Transition and the AI Narrative Gap: Adobe posted strong numbers, but investor skepticism remains. The conversation centers on whether Adobe failed to clearly articulate its AI upside, whether the market simply remains unconvinced, and why leadership change may reflect the need for a different kind of AI-era storytelling. Grid Underutilization and the Energy Debate: Google, Tesla, and others are backing a lobbying effort focused on grid underutilization. The hosts unpack why this matters for hyperscalers, data center growth, and the broader push to use energy infrastructure more intelligently before simply adding more capacity. The Flip: Has Apple Found a Way to Win Without Massive AI CapEx? In this week's debate, Patrick argues Apple may have found a differentiated path by focusing on device-level inference, silicon efficiency, and distribution across its installed base. Daniel pushes back, arguing that if intelligence becomes platform agnostic, Apple risks becoming just another hardware endpoint with a limited moat at the AI layer. HPE's Networking-Led Enterprise AI Positioning: HPE's results reinforced the strategic value of networking as a differentiation layer. The Juniper acquisition, enterprise focus, and higher-margin infrastructure strategy continue to distinguish HPE from peers chasing hyperscale AI server volumes. Oracle's OCI Momentum and the Fungibility of Compute: Oracle delivered the "show me" quarter investors wanted, driven by OCI growth and backlog expansion. The hosts argue that if Oracle builds the capacity, the compute will get used, regardless of which model provider ultimately occupies it. Adobe, TSMC, and ASML as Signals of the Next AI Buildout: From Adobe's forward-looking market pressure to TSMC's continued growth and ASML's move into advanced packaging, the conversation closes on what these indicators say about demand durability, capital discipline, and the future of semiconductor infrastructure. For a deeper dive into each topic, please click on the provided links. Subscribe to our YouTube Channel so you never miss an episode. The Decode  Nvidia Expands AI Infrastructure Ecosystem https://www.cnbc.com/2026/03/09/nscale-ai-data-center-nvidia-raise.html https://x.com/PatrickMoorhead/status/2031039275861455314?s=20 NVIDIA and Thinking Machines Lab Announce Long-Term Gigawatt-Scale Strategic Partnership https://blogs.nvidia.com/blog/nvidia-thinking-machines-lab/ https://techcrunch.com/2026/03/10/thinking-machines-lab-inks-massive-compute-deal-with-nvidia/ Microsoft 365 Copilot Wave 3 – Turning Copilot from add-on into stack strategy https://x.com/PatrickMoorhead/status/2031072488059449701 https://x.com/danielnewmanUV/status/2031016955549716542 Microsoft CEO Satya Nadella praises outgoing Adobe CEO Shantanu Narayen's 'legendary run' at digital media company https://economictimes.indiatimes.com/tech/technology/microsoft-ceo-satya-nadella-praises-outgoing-adobe-ceo-shantanu-narayens-legendary-run-at-digital-media-company/articleshow/129541308.cms Google, Tesla, and data center developer Verrus are among a group of companies arguing that the electrical grid is being underutilized https://techcrunch.com/2026/03/10/google-and-tesla-think-were-managing-the-electrical-grid-all-wrong/ The Flip: Has Apple Found a Way to Win Without Massive AI CapEx? Perplexity Computer to Run on Mac Desktop Computers & iOS https://x.com/danielnewmanUV/status/2031841884822229340?s=20 https://x.com/PatrickMoorhead/status/2031825606313119750?s=20 https://x.com/PatrickMoorhead/status/2032276716786221113?s=20 Bulls & Bears HPE Q1 Earnings https://www.hpe.com/us/en/newsroom/press-release/2026/03/hpe-reports-fiscal-2026-first-quarter-results.html https://x.com/danielnewmanUV/status/2031132577256403050?s=20 https://x.com/PatrickMoorhead/status/2031109683717747160 Oracle Q3 Earnings  https://finance.yahoo.com/news/oracle-stock-rockets-higher-on-q3-earnings-beat-2027-revenue-outlook-201151427.html https://x.com/PatrickMoorhead/status/2031502202766766104 https://x.com/danielnewmanUV/status/2031518677242147087 TSMC Earnings (Jan-Feb revenue rose 30%) https://pr.tsmc.com/english/news/3290 https://seekingalpha.com/news/4562561-tsmc-jan-feb-revenue-rises-30-amid-strong-global-ai-demand  Adobe Q1 Earnings https://www.businesswire.com/news/home/20260312749997/en/Adobe-Delivers-Record-Q1-Results https://news.adobe.com/news/2026/03/adobe-q1fy26-financial-results UiPath Earnings https://www.investing.com/news/earnings/uipath-forecasts-full-year-revenue-above-expectations-stock-seesaws-after-hours-4555553 https://ir.uipath.com/news/detail/431/uipath-reports-fourth-quarter-and-full-year-fiscal-2026-financial-results Rubrik Earnings  https://www.investors.com/news/technology/rubrik-stock-rbrk-rubrik-earnings-q42025/ https://ir.rubrik.com/financials/quarterly-results/default.aspx SentinelOne Earnings https://www.investors.com/news/technology/sentinelone-stock-s-sentinelone-earnngs-news-q42025/  

Na de mega-ontslagen bij Amazon en Block snijdt ook Meta in eigen vlees. Twintig procent van het personeelsbestand, afgerond 16.000 mensen worden binnenkort op straat gezet, schrijft Reuters. Meta gaat dit jaar 165 miljard dollar aan kosten maken en met maar liefst 135 daarvan wordt vooral rekenkracht voor AI aangeschaft. Dat geld moet ergens vandaan komen, dus vliegen er mensen de laan uit. Of ze die mensen wel kunnen missen, bespreken we deze aflevering. Hoor je ook waarom Unicredit een overnamebod doet op Commerzbank. Ze bieden slechts 4 procent premie op de slotkoers van vrijdag - die koers is vandaag alweer ingelopen - en het bod is volledig in aandelen. Hoe graag willen ze het dan écht? Dat zoeken we voor je uit. Hoor je ook nog: Hoe een bedrijf met een Nederlands tintje profiteert van Meta's miljardeninvesteringen Waarom niemand zal klagen over de laatste bonus van de topvrouw van Wolters Kluwer Hoe slecht het gaat met kunstmestproducent OCI en waarom dat volgens onze gast allemaal schijn is Welk bedrijf Apple overneemt Te gast: Arend-Jan Kamp van Stockwatch.nl BNR Beurs is een journalistiek onafhankelijke productie, mede mogelijk gemaakt door Saxo. Over de makers: Jelle Maasbach is presentator van BNR Beurs en freelance financieel journalist. Zijn favoriete aandeel om over te praten is Disney, maar daar lijkt hij de enige in te zijn. Sinds de eerste uitzending van BNR Beurs is 'ie er bij. Maxim van Mil is presentator van BNR Beurs en journalist bij BNR, waar hij zich focust op de financiële markten en ontwikkelingen in de tech-wereld. Je krijgt hem het meest enthousiast als hij kan praten over ASML, of oer-Hollandse bedrijven zoals Ahold of ABN Amro. Jorik Simonides is presentator van BNR Beurs, economieredacteur en verslaggever bij BNR. Hij wordt er vooral blij van als het een keer níet over AI gaat. Milou Brand is presentator van BNR Beurs, freelance podcastmaker en columnist bij het Financieele Dagblad. Jochem Visser is presentator van BNR Beurs, maakt Beursnerd XL en de podcast Onder Curatoren. Vraag hem naar obscure zaken op financiële markten en hij vertelt je waarom het eigenlijk nóg leuker is dan je al dacht. Over de podcast: Met BNR Beurs ga je altijd voorbereid de nieuwe beursdag in. We praten je in een kleine 25 minuten bij over alle laatste ontwikkelingen op de handelsvloer. We blijven niet alleen bij de AEX of Wall Street, maar vertellen je ook waar nog meer kansen liggen. En we houden het niet bij de cijfers, maar zoeken ook iedere dag voor je naar duiding van scherpe gasten en experts. Of je nu een ervaren belegger bent of net begint met je eerste stappen op de beurs, de podcast biedt waardevolle inzichten voor je beleggingsstrategie. Door de focus op zowel de korte termijn als de lange termijn, helpt BNR Beurs luisteraars om de ruis van de markt te scheiden van de essentie. Van Musk tot Microsoft en van Ahold tot ASML. Wij vertellen je wat beleggers bezighoudt, wie de markten in beweging zet en wat dat betekent voor jouw beleggingsportefeuille.See omnystudio.com/listener for privacy information.

Running Oracle Database@AWS is most effective when you have full visibility and control over your environment.   In this episode, hosts Lois Houston and Nikita Abraham are joined by Rashmi Panda, who explains how to monitor performance, track key metrics, and catch issues before they become problems. Later, Samvit Mishra shares key best practices for securing, optimizing, and maintaining a resilient Oracle Database@AWS deployment.   Oracle Database@AWS Architect Professional: https://mylearn.oracle.com/ou/course/oracle-databaseaws-architect-professional/155574 Oracle University Learning Community: https://education.oracle.com/ou-community LinkedIn: https://www.linkedin.com/showcase/oracle-university/ X: https://x.com/Oracle_Edu   Special thanks to Arijit Ghosh, Anna Hulkower, Kris-Ann Nansen, Radhika Banka, and the OU Studio Team for helping us create this episode. ------------------------------------------------------ Episode Transcript: 00:00 Welcome to the Oracle University Podcast, the first stop on your cloud journey. During this series of informative podcasts, we'll bring you foundational training on the most popular Oracle technologies. Let's get started! 00:26 Nikita: Welcome to the Oracle University Podcast! I'm Nikita Abraham, Team Lead: Editorial Services with Oracle University, and with me is Lois Houston, Director of Communications and Adoption with Customer Success Services  Lois: Hello again! Last week's discussion was all about how Oracle Database@AWS stays secure and available. Today, we're joined by two experts from Oracle University. First, we'll hear from Rashmi Panda, Senior Principal Database Instructor, who will tell you how to monitor and log Oracle Database@AWS so your environment stays healthy and reliable. Nikita: And then we're bringing in Samvit Mishra, Senior Manager, CSS OU Cloud Delivery, who will break down the best practices that help you secure and strengthen your Oracle Database@AWS deployment. Let's start with you, Rashmi. Is there a service that allows you to monitor the different AWS resources in real time? Rashmi: Amazon CloudWatch is the cloud-native AWS monitoring service that can monitor the different AWS resources in real time. It allows you to collect the resource metrics and create customized dashboards, and even take action when certain criteria is met. Integration of Oracle Database@AWS with Amazon CloudWatch enables monitoring the metrics of the different database resources that are provisioned in Oracle Database@AWS. Amazon CloudWatch collects raw data and processes it to produce near real-time metrics data. Metrics collected for the resources are retained for 15 months. This facilitates analyzing the historical data to understand and compare the performance, trends, and utilization of the database service resources at different time intervals. You can set up alarms that continuously monitor the resource metrics for breach of user-defined thresholds and configure alert notification or take automated action in response to that metric threshold being reached. 02:19 Lois: What monitoring features stand out the most in Amazon CloudWatch? Rashmi: With Amazon CloudWatch, you can monitor Exadata VM Cluster, container database, and Autonomous database resources in Oracle Database@AWS. Oracle Database@AWS reports metrics data specific to the resource in AWS/ODB namespace of Amazon CloudWatch. Metrics can be collected only when the database resource is an available state in Oracle Database@AWS. Each of the resource types have their own metrics defined in AWS/ODB namespace, for which the metrics data get collected.  02:54 Nikita: Rashmi, can you take us through a few metrics? Rashmi: At Exadata database VM Cluster, there is CPU utilization, memory utilization, swap space storage file system utilization metric. Then there is load average on the server, what is the node status, and the number of allocated CPUs, et cetera. Then for container database, there is CPU utilization, storage utilization, block changes, parse count, execute count, user calls, which are important elements that can provide metrics data on database load. And for Autonomous Database metrics data include DB time, CPU utilization, logins, IOPS and IO throughput, RedoSize, parse, execute, transaction count, and few others. 03:32 Nikita: Once you've collected these metrics and analyzed database performance, what tools or services can you use to automate responses or handle specific events in your Oracle Database@AWS environment? Rashmi: Then there is Amazon EventBridge, which can monitor events from AWS services and respond automatically with certain actions that may be defined. You can monitor events from Oracle Database@AWS in EventBridge, which sends events data continuously to EventBridge at real time. Eventbridge forwards these events data to target AWS Lambda and Amazon Simple Notification Service to perform any actions on occurrence of certain events. Oracle Database@AWS events are structured messages that indicate changes in the life cycle of the database service resource. Eventbridge can filter events based on your defined rules, process them, and deliver to one or more targets. Event Bus is the router that receives the events, optionally transform them, and then delivers the events to the targets. Events from Oracle Database@AWS can be generated by two means: they can be generated from Oracle Database@AWS in AWS, and they can also be generated directly from OCI and received by EventBridge in AWS. You can monitor Exadata Database and Autonomous Database resource events. Ensure that the Exadata infrastructure status is an available state. You can configure how the events are handled for these resources. You can define rules in EventBridge to filter the events of interest and the target, who is going to receive and process those events. You can filter events based on a pattern depending on the event type, and apply this pattern using Amazon EventBridge put-rule API, with the default event bus to route only those matching events to targets. 05:13 Lois: And what about events that AWS itself generates? Rashmi: Events that are generated in AWS for the Oracle Database@AWS resources are delivered to the default event bus of your AWS account. These events that are generated in AWS for Oracle Database@AWS resources include lifecycle changes of the ODB network. The different network events are successful creation or failure of the creation of the ODB network, and successful deletion or failure in deletion of the ODB network. When you subscribe to Oracle Database@AWS, then an event bus with prefix aws.partner/odb is created in your AWS account. All events generated in OCI for the Oracle Database@AWS resources are then received in this event bus. When you are creating filter pattern using Amazon EventBridge put-rule API, you must set the event bus name to this event bus. Make sure you do not delete this event bus. Events generated in OCI and received into event bus are extensive. They include events of Oracle Exadata infrastructure, VM Cluster, container, and pluggable databases. 06:14 Lois: If you want to look back at what's happened in your environment, like who made the changes or accessed resources, what's the best AWS service for logging and auditing all that activity? Rashmi: Amazon CloudTrail is a logging service in AWS that records the different actions taken by a user or roles, or an AWS service. Oracle Database@AWS is integrated with Amazon Cloud Trail. This enables logging of all the different events on Oracle Database@AWS resources.  Amazon Cloud Trail captures all the API calls to Oracle Database@AWS as events. These API calls include calls from the Oracle Database@AWS console, and code calls to Oracle Database@AWS API operations. These log files are delivered to Amazon S3 bucket that you specify. These logs determine the identity of the caller who made the call request to Oracle Database@AWS, their IP from which the call originated, the time of the call, and some additional details.  CloudTrail event history stores immutable record of the past 90 days of management events in an AWS region. You can view, search, and download these records from CloudTrail Event History. You can access CloudTrail when you create an AWS account that automatically gives you the access to CloudTrail. Event history. If you would like to retain the logs for a longer period of time beyond 90 days, you can create CloudTrail trails or CloudTrail Lake event data store.  Management events in AWS provide information about management operations that are performed on the resources in your AWS account. Management operations are also called control plane operations. Thus, the control plane operations in Oracle Database@AWS are logged as management events in CloudTrail logs.  07:59 Are you a MyLearn subscriber? If so, you're automatically a member of the Oracle University Learning Community! Join millions of learners, attend exclusive live events, and connect directly with Oracle subject matter experts. Enjoy the latest news, join challenges, and share your ideas. Don't miss out! Become an active member today by visiting mylearn.oracle.com. 08:25 Nikita: Welcome back! Samvit, let's talk best practices. What should teams keep in mind when they're setting up and securing their Oracle Database@AWS environment?  Samvit: Use IAM roles and policies with least privilege to manage Oracle Database@AWS resources. This ensures only authorized users can provision or modify DB resources, reducing the risk of accidental or malicious changes.  Oracle Data Safe monitors database activity, user risk, and sensitive data, while AWS CloudTrail records all AWS API calls. Together, they give full visibility across the database and cloud layers. Autonomous Database supports Oracle Database Vault for enforcing separation of duties. Exadata Database Service can integrate with Audit Vault and Database Firewall to prevent privileged users from bypassing security controls. Enable multifactor authentication for AWS IAM users managing Oracle Database@AWS. This adds a strong second layer of protection against stolen credentials.  Always deploy your Oracle Database@AWS in private subnets without public IPs. Use AWS security groups and NACLs to strictly limit inbound and outbound traffic, allowing access only from trusted applications. Exadata Database Service supports integration with Oracle Vault for key lifecycle management. And in case of Autonomous Database, the transparent data encryption keys are automatically managed. But you can bring your own keys with OCI Vault. Key rotation ensures compliance and reduces risk of key compromise. Oracle Database@AWS enforces encrypted connections by default. Ensure clients connect with TLS 1.2 or 1.3 to protect data in transit from interception or tampering.  Use Oracle Data Safe's user assessment features to detect dormant users or excessive privileges. Disable unused accounts and rightsize permissions to reduce insider threats and security gap. Export database audit logs to Oracle Data Safe Audit Vault or AWS S3 with object lock for immutability. This prevents lock tampering and ensures audit evidence is preserved for compliance.  11:25 Lois: OK, that covers security. Do you have any tips for making sure your Oracle Database@AWS setup is reliable and resilient? Samvit: Start with clear recovery objectives. Define how much downtime and data loss each workload can tolerate. These targets drive your HADR architecture and backup strategy.  Implement business continuity measures to deliver maximum uptime for your databases. As a best practice, you must configure disaster recovery environment for your critical databases so that, in the event of any disaster affecting the primary database, applications can be immediately failed over to the DR environment, ensuring least application downtime and zero or minimal data loss. With Oracle Database@AWS, you can automate the creation and management of DR environment for your database services using different deployment capabilities. You can opt to configure either cross-availability zone DR in the same region or configure cross-region DR. Since cross-availability zone can only provide site failure protection, you must also configure a cross-region DR to protect against regional failure. A DR plan is only effective if tested. Regular failover and switchover drills validate that people, processes, and systems can recover as designed.  For Exadata Database, Autonomous Recovery Service provides automated backup validation, recovery guarantees, and protection against accidental data loss or corruption.  Oracle-managed backups are fully managed by OCI. When you create your Oracle Exadata Database, you can enable automatic backups by choosing Enable Automatic Backups in the OCI Console. When you do that, you can select Amazon S3 or OCI Object Storage or Autonomous Recovery Service as the backup destination. Don't just take backups. You also need to test them. Regularly restore backups into non-production environment to validate integrity and recovery time.  Plan beyond just the database. Map application and middleware dependencies to ensure end-to-end business resilience. A database failover is useless if dependent apps can't reconnect. 14:09 Nikita: Another area of interest is performance and cost. What practices help teams balance the two? Samvit: Autonomous Database automatically scales CPU and storage as workloads grow. This ensures performance during peaks while avoiding overprovisioning. So you should enable ADB auto-scaling.  Monitor CPU, memory, and IO metrics with AWS CloudWatch to rightsize your compute. Scale up or down based on actual utilization instead of static provisioning. Autonomous databases continuously evaluate and creates indexes automatically. This improves query performance without requiring manual tuning.  Use connection pooling in your applications to optimize database connections. Minimizing round-trip reduces latency and improves throughput. Apply AWS tags to database and related resources for cost allocation and chargeback. Tagging also helps with governance and cost visibility.  Choose between bring your own license and license-included models for Oracle Database@AWS. The right model depends on your existing license portfolio and cost strategy. Not all workloads need long backup retention. Adjust retention policies based on business needs to balance compliance with storage costs.  Exadata Database supports Oracle multitenant with pluggable databases. Consolidating databases reduces infrastructure footprint and licensing costs. Performance tuning isn't just technical. Align metrics with business KPIs. correlating DB performance to user experience and revenue impact helps prioritize optimizations.  16:20 Lois: Before we wrap up, Samvit, let's look at operational efficiency. What advice do you have for making day-to-day operations more efficient? Samvit: Use infrastructure as code tools like Terraform or AWS CloudFormation to automate provisioning. This ensures consistent, repeatable deployments with minimal manual errors.  For Autonomous Database, enable auto-start/stop to optimize costs by running databases only when needed. This is ideal for dev test or seasonal workloads. Exadata Database Service provides fleet maintenance to patch multiple systems consistently. This reduces downtime and simplifies lifecycle management.  Integrate AWS CloudWatch for performance monitoring and EventBridge for event-driven automation. This helps detect issues early and trigger automated workflows. Oracle Data Safe provides ready-to-use audit and compliance reports. Use these to streamline governance and reduce the effort of manual compliance tracking.  For Autonomous databases, Performance Hub simplifies monitoring while Exadata users benefit from AWR and ASH reports. Together, they give deep insights into performance trends. Automated tagging policies and change management workflows help maintain governance. They ensure resources are tracked properly and changes are auditable.  Monitor storage consumption and growth patterns using AWS CloudWatch and the ADB Console. Proactive tracking helps avoid capacity issues and unexpected costs. Send CloudTrail logs into EventBridge to trigger automated incident responses. This shortens response time and builds operational resilience.  18:36 Nikita: Samvit and Rashmi, thanks for spending time with us today. Your insights always help bring the bigger picture into focus. Lois: They definitely do. And if you'd like to go deeper into everything we covered, head over to mylearn.oracle.com and look up the Oracle Database@AWS Architect Professional course. Until next time, this is Lois Houston… Nikita: And Nikita Abraham, signing off! 19:03 That's all for this episode of the Oracle University Podcast. If you enjoyed listening, please click Subscribe to get all the latest episodes. We'd also love it if you would take a moment to rate and review us on your podcast app. See you again on the next episode of the Oracle University Podcast.

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01-30-26 Recording of The Friday Night Groove on 88.3 FM, WXOU, Auburn Hills, MI. Featuring another edition of OCIØ, the bi-monthly series featuring some of the upcoming talent in Colombia's electronic music scene. In this episode we feature a guest mix from the Manizales, Colombia-based DJ and producer known as Siqnel.    For more on the artist visit:  https://instagram.com/siqnel https://www.facebook.com/sqnl6 https://on.soundcloud.com/bLq80dMTqdyQY45z4m   For more on the program visit: www.fridaynightgroove.com

In this Cloud Wars Special Report, Bob Evans sits down with Mike Sicilia, CEO of Oracle, to discuss Oracle's rise to the number-two position on the Cloud Wars Top 10. Their conversation explores why customers are increasingly gravitating toward Oracle, how AI embedded across infrastructure and applications is accelerating time to value, and why openness, multi-cloud flexibility, and data gravity are reshaping enterprise decision-making.Oracle AI Strategy and ProductsThe Big Themes:AI Built In, Not Bolted On: Oracle's momentum is rooted in embedding AI directly into its database, data platform, infrastructure, and applications rather than layering it on later. This architectural decision enables customers to train models, run inference, and deploy intelligent applications faster and more reliably. AI is foundational across ERP, retail merchandising, healthcare, and industry solutions. By integrating AI at every layer, Oracle reduces friction, accelerates adoption, and delivers immediate business value, helping customers move beyond experimentation into production-scale AI initiatives with confidence and speed.AI Changes Customer Engagement Models: The traditional technology upgrade cycle has been replaced by continuous, iterative innovation. With quarterly Fusion updates delivering hundreds of new AI-enabled features automatically, customers see constant improvements without added cost or disruption. Sicilia noted that AI data platforms and agent-building tools now enable daily innovation.Scale, Responsibility, and Customer Trust: With more than half a trillion dollars in contractual commitments, Oracle's leadership views execution and trust as paramount. Sicilia says that Oracle's decades-long experience running no-fail, mission-critical systems uniquely positions it for the AI Era. Customer success, support, and operational alignment have been restructured around an “AI-first, service-first” mindset.The Big Quote: “Very quick time to value has a lot to do with data gravity, and we are the custodians of the data. We are, in fact, the creators of a lot of the data from our applications.”"More from Oracle:Learn about Oracle and AI or OCI for AI. Visit Cloud Wars for more.

Patriot games are coming. Larry Ellison in the spotlight. Hi Ho Silver and away! PLUS we are now on Spotify and Amazon Music/Podcasts! Click HERE for Show Notes and Links DHUnplugged is now streaming live - with listener chat. Click on link on the right sidebar. Love the Show? Then how about a Donation? Follow John C. Dvorak on Twitter Follow Andrew Horowitz on Twitter Warm-Up - CTP Cup - All systems go! 9 participants! - ELON gets his $$$ - Kids account challenge - Patriot games are coming... Markets - Not much headwinds - EOY approaching - Analysts predicting SP500 for 2026 - 7,500 (12% upside) - More Oracle back and forth - Gold and Silver Elon - Elon Musk's net worth surged to $749 billion late Friday after the Delaware Supreme Court reinstated Tesla stock options worth $139 billion that were voided last year - He also recently received a $1T pay plan approval - Jeff Bezos, Mark Zuckerberg, and Jensen Huang combined - His fortune exceeds the GDP of nations like the Netherlands, Saudi Arabia, and Switzerland. - He is richer than every country in Africa by GDP - He is projected by some reports to become the world's first trillionaire by 2027 When did Larry Ellison and Oracle become newsworthy? - Every day in the news.... - Larry Ellison NOW Personally Guarantees Paramount Bid for Warner Bros. - The announcement of Mr. Ellison's personal guarantee is meant to address concerns that the Warner Bros. Discovery's board had expressed about Paramount's original offer. - Helping out sonny-boy? More Oracle - Oracle stock slid after a report that Blue Owl Capital won't back a $10 billion data center for OpenAI. (Michigan) - Oracle has $248 billion in lease commitments for data centers and cloud capacity commitments over the next 15 to 19 years. - Oracle later responded to the FT report, saying the project was moving forward and that Blue Owl was not part of equity talks. EVEN MORE! - Multiple media outlets, including the Associated Press, reported that ByteDance has reached an agreement with Oracle ORCL, Silver Lake, and Abu-Dhabi-based MGX to set up a joint venture for TikTok's US operations. Oracle will hold a 15.0% stake in the new entity, while ByteDance will retain a 19.9% stake. - The important thing her is that TikTok stays as a major tenant of OCI as ORCL needs this cash flow... - Of all of the items, this may be why ORCL stock has bounced te last few days. Congressional Ban - A vote on legislation banning members from owning or trading stocks could get a vote in the new year, according to House leadership and Republican members. - President Donald Trump has said he supports a congressional ban but has pushed back on versions that include the executive branch. - Basically this bill would prohibit the ownership of individual stocks by congress Over to Japan - Bank of Japan raises benchmark rates to highest in 30 years, lifting 10-year JGB yield past 2% - Yen still VERY weak - trading at 157/USD - (problematic) - The BOJ said that real interest rates are expected to remain “significantly negative,” adding that accommodative financial conditions will continue to firmly support economic activity. - The yen weakened 0.25% against the USD after the decision - therefore still dovish and stimulative Economic Numbers - Estimates, partial numbers and best guesses. OH, 2-month averaging as well - The Bureau of Labor Statistics reported that the annual headline inflation rate and core CPI rate for last month were 2.7% and 2.6%, respectively, well below expectations. - Due to government shutdown, BLS to make certain methodological assumptions about the prior month's inflation levels. - Those assumptions in the methodology were not clear to economists and were not fully explained in the release. - Here is a big issue: The price changes in October for the OER (owners equivalent rent) appear to have been “set to zero.”  Sports Prediction Markets - Sports is fueling the growth and is forecasted to make up 44% of volume as prediction markets mature. - According to one expert: the fundamental elements of consumer demand and an array of diverse brands looking to meet that demand are clearly in place - Sportsbooks are getting a bit nervous.... First Dell, then... - Billionaire hedge fund manager Ray Dalio of Bridgewater Associates and his wife, Barbara, committed to seed Trump accounts for approximately 300,000 children in Connecticut. - Following the Dells' pledge, the funds will be aimed at kids who live in a Connecticut ZIP code where the median income is less than $150,000. - The Dalio grant will fund $250 per child for approximately 300,000 children in Connecticut. This applies to children who live in a ZIP code where the median income is less than $150,000. About 87% of Connecticut ZIP codes meet that criteria, according to a CNBC analysis of Census Bureau data. - “Ray has joined what we are calling the 50-state challenge,” Treasury Secretary Scott Bessent said in a press conference on Wednesday. - A growing number of companies have announced they would match contributions to Trump accounts for their employees, including BNY and BlackRock. Patriot Games (Hunger Games?) - Trump announced: The Washington Monument will be illuminated with festive lights, a triumphal arc will be constructed and the “Patriot Games” will commence. The games are an “unprecedented four-day athletic event featuring the greatest high school athletes: one young man and one young woman from each state and territory. - Uhhhhhh "And so it was decreed that, each year, the various districts of Panem would offer up, in tribute, one young man and woman to fight to the death in a pageant of honor, courage and sacrifice. (Hunger Games 2012) - What next - PURGE NIGHT? Fed Pick - Now it seems as if it is a 4 person race... - President Trump says "Nowadays, when there is good news, the market goes down because everybody thinks that interest rates will be immediately lifted"; says "I want my new Fed Chairman to lower interest rates if the market is doing well"; says "Anybody that disagrees with me will never be the Fed Chairman!" San Fran Blackout - Alphabet-owned Waymo resumed its robotaxi service in the San Francisco Bay Area Sunday evening after pausing it amid widespread blackouts that had affected their vehicles' behavior. - Waymo said it worked with city officials throughout the blackout and had “proactively” initiated a temporary suspension of its service. - Interesting point there - what happens when grid disruptions for internet with self-driving Angry Shareholders (For a minute) - Tricolor CEO Daniel Chu directed a deputy to send him $6.25 million in bonuses in August, weeks before the company filed for bankruptcy, U.S. prosecutors alleged. - Subprime autofirm that had alleged fraud - This happens all the time - Big issue to keep alert to is the news about "Subprime" WEED - Trump's executive order shifts cannabis from Schedule I to Schedule III, easing research, banking and tax restrictions and marking the biggest federal cannabis policy change in decades. - Shares of cannabis conglomerates were down following the announcement, likely from worries of new competition from international companies. - NOT legalization - NOT for recreational use... - Banking, Institutional capital ..... OpenAi - Beggars cup continues - OpenAI is in initial discussions to raise at least $10 billion from Amazon.com Inc. and use its chips, a potential win for the online retailer's effort to broaden its AI industry presence and compete with Nvidia Corp. - The deal under discussion could value OpenAI north of $500 billion and see it adopt Amazon's Trainium chip, a person with knowledge of the matter said, asking to remain anonymous to describe private negotiations. - Talks, however, are at a preliminary stage and terms could change, the person added. High Ho Silver and Away! - Silver up 135% YTD - Gold up 70% - Best year since strongest annual performance since 1979 for Gold - 1970's was inflation, USD weakening, Energy crisis. - What is similar/different now? (Big difference is buying up (China, Poland, Turkey, India) Light menu - Darden Restaurants will roll out a new lighter portion entrées menu at all Olive Garden locations in January, the company announced during its quarterly earnings call last Thursday. - Citing affordability: "Olive Garden has seen a double-digit increase in affordability perceptions from guests who order from the lighter portions menu and an increase in frequency among these guests, which should help build traffic over time," Cardenas said. - Sooooo 0 due to high costs, Americans are cutting back on food? - If it were for weight loss, no need for Oliver garden to cut back on portions as most inedible anyway... Copper - Copper prices topped $12,000 a ton for the first time, extending the metal's recent bull run as mine outages add to concerns about supply. - The threat of US import tariffs on the metal has also been an important factor pushing up prices this year, with copper piling up in American warehouses. - Industry analysts have said that much of the richest and most easily accessible mining resources are now exhausted, and experts are warning that the market is on the cusp of a major deficit. Jim Beam - Bourbon maker Jim Beam is halting production at one of its distilleries in Kentucky for at least a year as the whiskey industry navigates tariffs from the Trump administration and slumping demand for a product that needs years of aging before it is ready. - Jim Beam said the decision to pause bourbon making at its Clermont location in 2026 will give the company time to invest in improvements at the distillery. The bottling and warehouse at the site will remain open, along with the James B. Beam Distilling Co. visitors center and restaurant. - The percentage of U.S. adults who say they consume alcohol has fallen to 54%, the lowest by one percentage point in Gallup's nearly 90-year trend. Love the Show? Then how about a Donation? THE CLOSEST TO THE PIN 2025 Winners will be getting great stuff like the new "OFFICIAL" DHUnplugged Shirt! CTP CUP 2025 Participants: Jim Beaver Mike Kazmierczak Joe Metzger Ken Degel David Martin Dean Wormell Neil Larion Mary Lou Schwarzer Eric Harvey (2024 Winner) FED AND CRYPTO LIMERICKS See this week's stock picks HERE Follow John C. Dvorak on Twitter Follow Andrew Horowitz on Twitter

Democrats continue to slap each other over the end of the government shutdown, and we examine whether moderates will be able to stand up to the nutcase Left; questions percolate over the future of the economy; and we discuss how to attain affordability. Click here to join the member-exclusive portion of my show: https://bit.ly/3WDjgHE Ep.2316 - - - Facts Don't Care About Your Feelings - - - DailyWire+: Join us now during our exclusive Deal of the Decade. Get everything for $7 a month. Not as fans. As fighters. Go to http://www.dailywire.com/subscribe to join now. Finally, Friendly Fire is here! No moderator, no safe words. Now available at https://www.dailywire.com/show/friendly-fire Get your Ben Shapiro merch here: https://bit.ly/3TAu2cw - - - Today's Sponsors: Perplexity - Ask anything at https://pplx.ai/benshapiro and try out their new AI-powered web browser Comet at https://comet.perplexity.ai/. PureTalk - Switch to PureTalk and start saving today! Visit https://PureTalk.com/SHAPIRO Helix Sleep - Go to https://helixsleep.com/ben for an exclusive offer. Kars4Kids - Call now: 1-877-Kars4Kids or donate your car online at https://Kars4Kids.org/ben Oracle - Visit https://oracle.com/shapiro to try OCI for free with zero commitment. - - - Socials: Follow on Twitter: https://bit.ly/3cXUn53  Follow on Instagram: https://bit.ly/3QtuibJ  Follow on Facebook: https://bit.ly/3TTirqd  Subscribe on YouTube: https://bit.ly/3RPyBiB - - - Privacy Policy: https://www.dailywire.com/privacy Learn more about your ad choices. Visit podcastchoices.com/adchoices

Hard conversation on your calendar? Breathe! You've got a playbook now. In this episode, negotiation expert Kwame Christian shares how to stay calm under pressure, be heard without getting heated, and turn conflict into collaboration. We break down the 3-step Compassionate Curiosity method, the empathy loop that makes people feel understood, and how to find the leverage you're missing. Get ready to learn scripts and mindset shifts you can use at work, at home, and anywhere stakes feel high. In This Episode, You Will Learn The 3-STEP COMPASSIONATE CURIOSITY FRAMEWORK to handle any hard conversation. How to ACKNOWLEDGE & VALIDATE EMOTIONS to lower the emotional temperature. The OPEN-ENDED QUESTIONS that build rapport. How to see the OPPORTUNITY overshadowed by the power element. How to SHIFT from EGOCENTRIC to EMPATHETIC PERSUASION so your message lands. The EMPATHY LOOP that makes people feel heard. Resources + Links Listen to Kwame's podcast HERE Learn more about Kwame HERE Grab your copy of Kwame's book How to Have Difficult Conversations About Race HERE Sign up for a one-dollar-per-month trial period at shopify.com/monahan Download the CFO's Guide to AI and Machine Learning at NetSuite.com/MONAHAN. Want to do more and spend less like Uber, 8x8, and Databricks Mosaic? Take a free test drive of OCI at oracle.com/MONAHAN. Get 10% off your first Mitopure order at timeline.com/CONFIDENCE. Get 15% off your first order when you use code CONFIDENCE15 at checkout at jennikayne.com. Call my digital clone at 201-897-2553!  Visit heathermonahan.com Sign up for my mailing list: heathermonahan.com/mailing-list/  Overcome Your Villains is Available NOW! Order here: https://overcomeyourvillains.com  If you haven't yet, get my first book Confidence Creator Follow Heather on Instagram & LinkedIn Kwame on Instagram & LinkedIn

What if the fastest way to grow your income is to give more away? In this Confidence Classic, I sit down with Derrick Kinney to break down the Generosity Purpose framework, which helps you make more money by aligning your business with a cause you care about. We talk about the DM strategy that actually opens doors, why giving back increases trust and referrals, and how to turn a $25 book into $5K-$10K in ROI. Get ready to rethink money, reignite meaning in your career, and learn the moves that simultaneously boost profits and impact. In This Episode, You Will Learn How to USE A “GENEROSITY PURPOSE” to differentiate your brand and drive ROI. The RULE OF FIVE daily actions that compound into big outcomes. How to SHIFT from “LOSE-WIN” giving to a WIN-WIN-WIN flywheel. Ways to REWRITE SCARCITY BELIEFS and build a confident money mindset. What to TEACH KIDS about being CREATORS of money. How to set an INCOME TARGET and reverse-engineer it into action. The mindset reframe to break POVERTY BELIEFS and money guilt. Resources + Links Grab your copy of Derrick's book Good Money Revolution HERE Sign up for a one-dollar-per-month trial period at shopify.com/monahan Download the CFO's Guide to AI and Machine Learning at NetSuite.com/MONAHAN. Want to do more and spend less like Uber, 8x8, and Databricks Mosaic? Take a free test drive of OCI at oracle.com/MONAHAN. Get 10% off your first Mitopure order at timeline.com/CONFIDENCE. Get 15% off your first order when you use code CONFIDENCE15 at checkout at jennikayne.com. Call my digital clone at 201-897-2553!  Visit heathermonahan.com Sign up for my mailing list: heathermonahan.com/mailing-list/  Overcome Your Villains is Available NOW! Order here: https://overcomeyourvillains.com  If you haven't yet, get my first book Confidence Creator Follow Heather on Instagram & LinkedIn Derrick on Instagram & LinkedIn

What if the thing you're resisting is the very thing that changes your life? In this episode, I sit down with Davide “Davi” De Pierro, an attorney who went from chronically offline to a viral TikTok and Instagram creator with over 4 million followers in six months. Davi shares why action before certainty is the only way to build confidence, and the creative principles that make content resonate. Get ready to learn how to act before you're ready, stay authentic, and reinvent yourself without waiting for permission. In This Episode You Will Learn How to START BEFORE YOU'RE READY. Ways to create AUTHENTIC CONTENT. How to use VULNERABILITY as a storytelling tool without losing privacy. The difference between ENTERTAINING and TEACHING when building an audience. How to shift from a FIXED IDENTITY to a MULTIFACETED SELF. MINDSET PRACTICES to turn fear into fuel for reinvention. Resources + Links Get Davide's Audio Book “The Letters I Never Sent” HERE Sign up for a one-dollar-per-month trial period at shopify.com/monahan Download the CFO's Guide to AI and Machine Learning at NetSuite.com/MONAHAN. Want to do more and spend less like Uber, 8x8, and Databricks Mosaic? Take a free test drive of OCI at oracle.com/MONAHAN. Get 10% off your first Mitopure order at timeline.com/CONFIDENCE. Get 15% off your first order when you use code CONFIDENCE15 at checkout at jennikayne.com. Call my digital clone at 201-897-2553!  Visit heathermonahan.com Sign up for my mailing list: heathermonahan.com/mailing-list/  Overcome Your Villains is Available NOW! Order here: https://overcomeyourvillains.com  If you haven't yet, get my first book Confidence Creator Follow Heather on Instagram & LinkedIn Davide on Instagram & TikTok

What happens when chasing empowerment leaves you feeling disempowered? In this episode, I sit down with entrepreneur, scientist, and former Miss New York US Iman Oubou to talk about the self-imposed limits that keep high-achievers stuck. Iman shares how investor bias pushed her into victim mode, how she rebuilt from the inside out, and why true confidence comes from self-awareness, not outside validation. Get ready to learn how to balance authenticity & adaptability, and reclaim your power. In This Episode You Will Learn How to RECLAIM your POWER when rooms won't give it to you. Ways to balance LIKABILITY vs. RESPECT without losing yourself. How to use your FEMININITY and MASCULINITY as intentional LEADERSHIP tools. The difference between your AUTHENTIC SELF and your ADAPTIVE SELF. How to separate REPUTATION from “what will people THINK” anxiety. The SELF-AWARENESS practices that build emotional maturity and lasting confidence. Resources + Links Grab your copy of Iman's The Glass Ledge HERE Sign up for a one-dollar-per-month trial period at shopify.com/monahan Download the CFO's Guide to AI and Machine Learning at NetSuite.com/MONAHAN. Want to do more and spend less like Uber, 8x8, and Databricks Mosaic? Take a free test drive of OCI at oracle.com/MONAHAN. Get 10% off your first Mitopure order at timeline.com/CONFIDENCE. Get 15% off your first order when you use code CONFIDENCE15 at checkout at jennikayne.com. Call my digital clone at 201-897-2553!  Visit heathermonahan.com Sign up for my mailing list: heathermonahan.com/mailing-list/  Overcome Your Villains is Available NOW! Order here: https://overcomeyourvillains.com  If you haven't yet, get my first book Confidence Creator Follow Heather on Instagram & LinkedIn Iman on Instagram & LinkedIn

What you know isn't what moves mountains, it's what you feel. In this episode, Heather sits down with medical intuitive and ThetaHealing instructor, Tania Lester, to talk about the bridge between information and embodied knowing. Tania shares her story from an MS diagnosis and Bell's palsy to being 14 years medication-free and the exact mindset, energetic practices, and lifestyle shifts that catalyzed her healing. We also dive deep into the beliefs that create blocks in business, love, and health, how to reprogram them at the subconscious level, and why certainty + surrender is the unlock for manifestation. Get ready to shift from knowing to feeling, and release the blocks holding you back. In This Episode You Will Learn Why INFORMATION in your MIND means nothing until you FEEL it in your SOUL. How Tania healed from MS and became 14 YEARS MEDICATION-FREE. How to REPROGRAM negative patterns and release LIMITING STORIES. The most COMMON BLOCKS stopping abundance How ENERGY WORK brings PEACE and CLOSURE after loss (without mediumship). How HEALING yourself creates a POSITIVE RIPPLE EFFECT for your CHILDREN. Resources + Links Learn more about Tania Lester HERE Sign up for a one-dollar-per-month trial period at shopify.com/monahan Download the CFO's Guide to AI and Machine Learning at NetSuite.com/MONAHAN. Want to do more and spend less like Uber, 8x8, and Databricks Mosaic? Take a free test drive of OCI at oracle.com/MONAHAN. Get 10% off your first Mitopure order at timeline.com/CONFIDENCE. Get 15% off your first order when you use code CONFIDENCE15 at checkout at jennikayne.com. Call my digital clone at 201-897-2553!  Visit heathermonahan.com Sign up for my mailing list: heathermonahan.com/mailing-list/  Overcome Your Villains is Available NOW! Order here: https://overcomeyourvillains.com  If you haven't yet, get my first book Confidence Creator Follow Heather on Instagram & LinkedIn Tania on Facebook & Instagram

What if the limits you see in your life are simply habits you learned that you can unlearn? In this Confidence Classic episode, I sit down with Aaron Bare to talk about how your thoughts create your reality, why unlearning and reprogramming are the first steps to growth, and how exponential leaders are made from the inside out. Aaron shares the seven universal truths that unlock personal and professional success, how to shift from linear to exponential thinking, and the mindset strategies used by visionaries like Elon Musk and Bill Gates. Get ready to reprogram your thoughts and start thinking on a much bigger scale. In This Episode, You Will Learn Why your INNER DIALOGUE determines how the world responds to you. How to ESCAPE linear thinking and build exponential habits for business and life. The SEVEN UNIVERSAL TRUTHS that shape your mindset and outcomes. Why FAILURE is feedback and how to enjoy the “suck” phase of your journey. How to SURROUND yourself with people who expand what you believe is possible. The DAILY practices that keep your thoughts aligned with your goals. Why THINKING BIGGER starts by unlearning your limiting beliefs. How to REWRITE your story and take back control of your future. Resources + Links Grab your copy of Aaron's Exponential Theory: The Power of Thinking Big HERE! Learn more about Aaron Bare HERE! Sign up for a one-dollar-per-month trial period at shopify.com/monahan Download the CFO's Guide to AI and Machine Learning at NetSuite.com/MONAHAN. Want to do more and spend less like Uber, 8x8, and Databricks Mosaic? Take a free test drive of OCI at oracle.com/MONAHAN. Get 10% off your first Mitopure order at timeline.com/CONFIDENCE. Get 15% off your first order when you use code CONFIDENCE15 at checkout at jennikayne.com. Call my digital clone at 201-897-2553!  Visit heathermonahan.com Sign up for my mailing list: heathermonahan.com/mailing-list/  Overcome Your Villains is Available NOW! Order here: https://overcomeyourvillains.com  If you haven't yet, get my first book Confidence Creator Follow Heather on Instagram & LinkedIn ​​Aaron on Instagram & LinkedIn

What if one conversation could change the entire direction of your life? In this episode, I bring back one of my favorite conversations with my dear friend, Scott MacGregor, founder of The Outlier Project, founder & CEO of SomethingNew LLC, and bestselling author. Scott and I share how a single LinkedIn message between strangers grew into years of friendship, collaboration, and life-changing opportunities, and how you can do the same. We talk about the mindset shift from transactional networking to building long-term relationships that open unexpected doors. Scott breaks down how to play chess, not checkers, in your career, nurture connections with genuine care, and position yourself as the person everyone wants in the room. Get ready to learn how to build friendships that fuel your goals and transform every ‘no' into your next opportunity. In This Episode, You Will Learn Why one genuine relationship can change your entire career path. How to play chess instead of checkers in business and networking. The difference between transactional asks and transformational relationships. How to connect with high-impact people (and stay on their radar). How to spot genuine relationships vs. drive-by friendships. The mindset + tactical framework behind building a high-impact network. Resources + Links Join The Way Beyond Networking Masterclass HERE! Sign up for a one-dollar-per-month trial period at shopify.com/monahan Download the CFO's Guide to AI and Machine Learning at NetSuite.com/MONAHAN. Want to do more and spend less like Uber, 8x8, and Databricks Mosaic? Take a free test drive of OCI at oracle.com/MONAHAN. Get 10% off your first Mitopure order at timeline.com/CONFIDENCE. Get 15% off your first order when you use code CONFIDENCE15 at checkout at jennikayne.com. Call my digital clone at 201-897-2553!  Visit heathermonahan.com Sign up for my mailing list: heathermonahan.com/mailing-list/  Overcome Your Villains is Available NOW! Order here: https://overcomeyourvillains.com  If you haven't yet, get my first book Confidence Creator Follow Heather on Instagram & LinkedIn Scott on Instagram & LinkedIn

Ben reports directly from Jerusalem after watching President Trump electrify the Knesset; all living hostages have been released from Gaza; and we examine what comes next. Click here to join the member-exclusive portion of my show: https://bit.ly/3WDjgHE Ep.2296 - - - Facts Don't Care About Your Feelings - - - DailyWire+: Go to https://dailywireplus.com to join and get 40% off new DailyWire+ annual memberships with code FALL40 at checkout. USS Cole: An act of war, a government failure, and the spark that lit 9/11. A 3-Part series, streaming now exclusively on DailyWire+. Get your Ben Shapiro merch here: https://bit.ly/3TAu2cw - - - Today's Sponsors: Quo - Get 20% off of your first 6 months at Quo.com/BEN Boll & Branch - Get 20% off Bed Bundles at https://BollAndBranch.com/ben ZipRecruiter - Go to this exclusive web address to try ZipRecruiter FOR FREE: https://ZipRecruiter.com/DAILYWIRE Oracle - Visit https://oracle.com/shapiro to try OCI for free with zero commitment. SimpliSafe - Visit https://SimpliSafe.com/SHAPIRO to claim 50% off a new system. Jeremy's Razors - Visit https://jeremysrazors.com today - - - Socials: Follow on Twitter: https://bit.ly/3cXUn53  Follow on Instagram: https://bit.ly/3QtuibJ  Follow on Facebook: https://bit.ly/3TTirqd  Subscribe on YouTube: https://bit.ly/3RPyBiB - - - Privacy Policy: https://www.dailywire.com/privacy Learn more about your ad choices. Visit megaphone.fm/adchoices

Most of us want to “move on” or “let go,” but we skip the one phase that makes surrender possible. In this episode, I sit down with transformational teacher and bestselling author Kute Blackson to break down what surrender really means and why it's the opposite of weakness. We talk about how to let go without giving up, recognize the ego's survival patterns that keep you in control mode, and the step-by-step “anatomy of surrender” process. Tune in and discover the practices that will help you release control, grieve what's past, and open yourself to bigger opportunities and a life that feels more aligned and alive. In This Episode, You Will Learn Why SURRENDER is not weakness but the PASSWORD to FREEDOM. Why GRIEVING is the missing step before surrender can happen. How CONTROL is the ego's master addiction and keeps you stuck. How to tell yourself the TRUTH and stop negotiating your life away. Why PAIN is feedback that you're out of alignment. Ways to ALIGN with your soul's deeper vision and act from authenticity. Why LETTING GO of what's not for you creates space for greater blessings. Resources + Links Learn more about ⁠kuteblackson.com⁠  Read ⁠You Are The One⁠ & ⁠Magic of Surrender ⁠ FREE ⁠Reinvent Online Seminar⁠   Attend ⁠The Boundless Bliss⁠ event  Listen to ⁠Soul Talk⁠  Sign up for a one-dollar-per-month trial period at shopify.com/monahan Download the CFO's Guide to AI and Machine Learning at NetSuite.com/MONAHAN. Want to do more and spend less like Uber, 8x8, and Databricks Mosaic? Take a free test drive of OCI at oracle.com/MONAHAN. Get 10% off your first Mitopure order at timeline.com/CONFIDENCE. Get 15% off your first order when you use code CONFIDENCE15 at checkout at jennikayne.com. Call my digital clone at 201-897-2553!  Visit heathermonahan.com Sign up for my mailing list: heathermonahan.com/mailing-list/  Overcome Your Villains is Available NOW! Order here: https://overcomeyourvillains.com  If you haven't yet, get my first book Confidence Creator Follow Heather on Instagram & LinkedIn Kute on Facebook X & ⁠Instagram Kute on ⁠Youtube & LinkedIn

How many times have you been told “no” when your gut was screaming “yes”? In this episode, I'm bringing back a conversation with my friend and inspiration, Jamie Kern Lima, the founder of IT Cosmetics. Jamie shares how she went from building a company in her living room to selling it to L'Oréal for $1.2 billion, becoming the first female CEO in L'Oréal's 100+ year history. We talk about how to stop letting other people's opinions drown out your own intuition, how to keep moving forward when the doors keep slamming shut, and how to root for yourself even when no one else does.  In This Episode, You Will Learn Why you must turn down the volume on critics and tune into your intuition. The “microphone” tool to protect your energy and choose whose voice you amplify. Why setbacks are often your setup for something bigger. The visualization practice Jamie used before her life-changing QVC pitch. Why rejection can be “God's protection” and how to trust it. How to believe in yourself even when the world tells you no. Resources + Links Visit Jamie's website: ⁠https://jamiekernlima.com/⁠  Get your copy of Jamie's ⁠Believe It⁠ HERE! Get your FREE 95 PG Action Plan HERE! Sign up for a one-dollar-per-month trial period at shopify.com/monahan Download the CFO's Guide to AI and Machine Learning at NetSuite.com/MONAHAN. Want to do more and spend less like Uber, 8x8, and Databricks Mosaic? Take a free test drive of OCI at oracle.com/MONAHAN. Get 10% off your first Mitopure order at timeline.com/CONFIDENCE. Get 15% off your first order when you use code CONFIDENCE15 at checkout at jennikayne.com. Call my digital clone at 201-897-2553!  Visit heathermonahan.com Sign up for my mailing list: heathermonahan.com/mailing-list/  Overcome Your Villains is Available NOW! Order here: https://overcomeyourvillains.com  If you haven't yet, get my first book Confidence Creator Follow Heather on Instagram & LinkedIn Jamie on Facebook & Instagram

Confidence isn't something you're born with, but something you build. In this episode, I share why confidence is always the by-product of action, not a feeling you wait for. I talk about my experience in the C-suite, the fears I carried that turned out to be wasted energy, and how bold moves in Q4 can set you up for massive success next year. I also share how a near-canceled Dubai trip led to interviewing billionaire Peter Jones, who taught me to go BIGGER, and why being called ‘delusional' might be the best compliment you'll receive. Get ready to stop overthinking and start showing up as the most confident version of yourself. In This Episode You Will Learn Why CONFIDENCE is a by-product of ACTION, not a feeling. How to ACT confident before you actually feel it. The BODY LANGUAGE shift that lowers stress and boosts power. Why Q4 is the BEST TIME to pitch raises, promotions, and clients. How to LEVERAGE your personal brand for global opportunities. SALES CLOSING STRATEGIES you can apply to clients, sponsors, or pitches. The POWER of testimonials, identity, and silence in closing deals. Resources + Links October Group Ladies Only: https://heather-monahan.myshopify.com/products/seminar-registration Mastermind Team - 3 spots left! Apply here: https://heathermonahan.com/the-elite-mastermind/ Sign up for a one-dollar-per-month trial period at shopify.com/monahan Download the CFO's Guide to AI and Machine Learning at NetSuite.com/MONAHAN. Want to do more and spend less like Uber, 8x8, and Databricks Mosaic? Take a free test drive of OCI at oracle.com/MONAHAN. Get 10% off your first Mitopure order at timeline.com/CONFIDENCE. Get 15% off your first order when you use code CONFIDENCE15 at checkout at jennikayne.com. Call my digital clone at 201-897-2553!  Visit heathermonahan.com Sign up for my mailing list: heathermonahan.com/mailing-list/  Overcome Your Villains is Available NOW! Order here: https://overcomeyourvillains.com  If you haven't yet, get my first book Confidence Creator Follow Heather on Instagram & LinkedIn

What if the greatest challenges of your life were actually the foundation for your biggest wins? In this episode, I sit down with Ben Newman, performance coach to Fortune 500 leaders, Super Bowl champions, and championship football teams like the Alabama Crimson Tide. We talk about how to keep showing up on the days you want to quit, why purpose must be stronger than pain, and how investing in yourself (through coaches, mentors, or even accountability partners) is the fastest way to unlock your next level. Ben also shares practical tools from his work with world-class athletes and business leaders that you can apply right now to your own life. Tune in and learn how to push through adversity, find your fire, and create unstoppable momentum in your life and business. In This Episode, You Will Learn Meet Ben Newman, performance coach, author, and former mental conditioning coach for Alabama Crimson Tide. The PRAYER that gave Ben clarity and purpose every day. The UNEXPECTED “sign” that confirmed Ben's spiritual path. Why COACHING and ACCOUNTABILITY are essential for growth. The PRIZEFIGHTER DAY framework to win personally and professionally. Why CHAMPIONS never stop investing in coaching and mentorship. Resources + Links Learn more about Ben Newman at ⁠bennewman.net⁠  Get your copy of Ben Newman's ⁠Uncommon Leadership⁠ HERE!  Enroll in  ⁠Ben Newman's Uncommon Coaching Program⁠ Listen to Ben Newman's ⁠The Burn Podcast  ⁠Sign up for a one-dollar-per-month trial period at shopify.com/monahan Download the CFO's Guide to AI and Machine Learning at NetSuite.com/MONAHAN. Want to do more and spend less like Uber, 8x8, and Databricks Mosaic? Take a free test drive of OCI at oracle.com/MONAHAN. Get 10% off your first Mitopure order at timeline.com/CONFIDENCE. Get 15% off your first order when you use code CONFIDENCE15 at checkout at jennikayne.com. Call my digital clone at 201-897-2553!  Visit heathermonahan.com Sign up for my mailing list: heathermonahan.com/mailing-list/  Overcome Your Villains is Available NOW! Order here: https://overcomeyourvillains.com  If you haven't yet, get my first book Confidence Creator Follow Heather on Instagram & LinkedIn Ben on Instagram, LinkedIn, Youtube, Facebook, & X

Uncertainty can feel overwhelming, but it's also where the biggest breakthroughs happen. In this episode, I share stories from my own life about letting go of control, trusting the process, and watching miracles unfold when I stopped forcing outcomes. I share how setbacks turned into blessings, why the people you surround yourself with matter so much, and how to step into opportunities that are bigger than what you imagined. Get ready to build faith in yourself, show up with grace, and embrace the unknown with confidence. In This Episode You Will Learn Why losing your cool in business has a ripple effect you might not see. How to pause, breathe, and exit gracefully before emotions take over. What selling a home taught me about letting go of fear and trusting timing. Why your “magic eraser” solution might already be closer than you realize. How to identify true champions in your circle vs. people who drain your energy. A simple rule that ensures your words match your worth. Resources + Links Sign up for a one-dollar-per-month trial period at shopify.com/monahan Download the CFO's Guide to AI and Machine Learning at NetSuite.com/MONAHAN. Want to do more and spend less like Uber, 8x8, and Databricks Mosaic? Take a free test drive of OCI at oracle.com/MONAHAN. Get 10% off your first Mitopure order at timeline.com/CONFIDENCE. Get 15% off your first order when you use code CONFIDENCE15 at checkout at jennikayne.com. Call my digital clone at 201-897-2553!  Visit heathermonahan.com Sign up for my mailing list: heathermonahan.com/mailing-list/  Overcome Your Villains is Available NOW! Order here: https://overcomeyourvillains.com  If you haven't yet, get my first book Confidence Creator Follow Heather on Instagram & LinkedIn

Perfectionism isn't one-size-fits-all. It shows up in ways you may not even realize. In this episode, I sit down with psychotherapist and author Katherine Morgan Schafler to talk about how perfectionism fuels growth instead of stress. Katherine shares the five types of perfectionists, how to identify your own patterns, and why perfectionism without boundaries often turns destructive. We also dive into how to channel perfectionist tendencies into self-awareness, resilience, and real power rather than burnout or fear. Tune in to discover how to reframe perfectionism not as a flaw to fix, but as a signal of your drive and potential. In This Episode You Will Learn PERFECTIONISM is not a flaw but a POWER with the right boundaries. The DIFFERENCE between manipulation and influence. The 3 STEP SELF-COMPASSION framework that builds resilience and confidence.  Why PERFECTIONISM in men is celebrated but in women criticized. Why asking for HELP is actually a SIGN OF DETERMINATION. How REFRAMING control shifts your approach to goals. The FIVE TYPES of perfectionists and how each one shows up in life and work. Resources + Links Learn more about Katherine: ⁠www.katherineschafler.com⁠ & ⁠www.perfectionistsguide.com⁠ Read ⁠The Perfectionist's Guide To Losing Control⁠  Take the ⁠Perfectionism Profile Quiz⁠ Sign up for a one-dollar-per-month trial period at shopify.com/monahan Download the CFO's Guide to AI and Machine Learning at NetSuite.com/MONAHAN. Want to do more and spend less like Uber, 8x8, and Databricks Mosaic? Take a free test drive of OCI at oracle.com/MONAHAN. Get 10% off your first Mitopure order at timeline.com/CONFIDENCE. Get 15% off your first order when you use code CONFIDENCE15 at checkout at jennikayne.com. Call my digital clone at 201-897-2553!  Visit heathermonahan.com Sign up for my mailing list: heathermonahan.com/mailing-list/  Overcome Your Villains is Available NOW! Order here: https://overcomeyourvillains.com  If you haven't yet, get my first book Confidence Creator Follow Heather on Instagram & LinkedIn Katherine on Instagram

After Jimmy Kimmel's suspension from the airwaves, Democrats go insane; we examine the Soros Open Society Foundation's alleged links to violent groups; and Democrats embrace a government shutdown strategy. Click here to join the member-exclusive portion of my show: https://bit.ly/3WDjgHE Ep.2284 - - - Facts Don't Care About Your Feelings - - - DailyWire+: Join millions of people who still believe in truth, courage, and common sense at https://DailyWirePlus.com Watch the Isabel Brown Show Daily at 1pm ET wherever you get your podcasts. Get your Ben Shapiro merch here: https://bit.ly/3TAu2cw - - - Today's Sponsors: Perplexity - Ask anything at https://pplx.ai/benshapiro and try out their new AI-powered web browser Comet at https://comet.perplexity.ai/. ExpressVPN - Go to https://expressvpn.com/ben and find out how you can get 4 months of ExpressVPN free! BAU, Artist of War - BAU, Artist at War, opens only in theaters, for a limited run beginning September 26th. Go to https://BAUmovie.com to watch the trailer, read about Josef's real-life journey, and find showtimes near you. Oracle - Visit https://oracle.com/shapiro to try OCI for free with zero commitment. ARMRA - Go to https://armra.com/SHAPIRO or enter SHAPIRO at checkout to get 30% off your first subscription order. PrizePicks - Visit https://prizepicks.onelink.me/LME0/BEN and use code BEN and get $50 in lineups when you play your first $5 lineup! PreBorn! - Donate today and help save babies from abortion at https://preborn.com/BEN or dial #250 keyword 'BABY' - - - Socials: Follow on Twitter: https://bit.ly/3cXUn53  Follow on Instagram: https://bit.ly/3QtuibJ  Follow on Facebook: https://bit.ly/3TTirqd  Subscribe on YouTube: https://bit.ly/3RPyBiB - - - Privacy Policy: https://www.dailywire.com/privacy Learn more about your ad choices. Visit megaphone.fm/adchoices

What separates the best of the best from everyone else? In this episode, I sit down with performance coach and bestselling author Alan Stein Jr., who shares habits behind NBA icons like Steph Curry, Kevin Durant, and Kobe Bryant, and how the same principles apply to business, leadership, and life. We talk about standards vs. goals, blending confidence with humility, purposeful practice in the “unseen hours,” and why discipline creates freedom. Alan also shares the strategies to reduce stress, escape stagnation, and prevent burnout, including my traffic gratitude hack. Get ready to master your craft with daily choices that build tomorrow's results. In This Episode, You Will Learn Why STANDARDS > GOALS and how today's choices build tomorrow's results. Why DISCIPLINE creates FREEDOM in every area of life. How purposeful PRACTICE and REPETITION lead to mastery. Steph Curry's FREE-THROW STANDARD that separates the greats. How HUMILITY and COACHABILITY fuel continuous growth. Why KIND SELF-TALK and VULNERABILITY build unshakable confidence. Resources + Links Get your copy of Alan's “Sustain Your Game” HERE⁠ Learn more about Alan at ⁠alansteinjr.com⁠ & ⁠strongerteam.com⁠  Sign up for a one-dollar-per-month trial period at shopify.com/monahan Download the CFO's Guide to AI and Machine Learning at NetSuite.com/MONAHAN. Want to do more and spend less like Uber, 8x8, and Databricks Mosaic? Take a free test drive of OCI at oracle.com/MONAHAN. Get 10% off your first Mitopure order at timeline.com/CONFIDENCE. Get 15% off your first order when you use code CONFIDENCE15 at checkout at jennikayne.com. Call my digital clone at 201-897-2553!  Visit heathermonahan.com Sign up for my mailing list: heathermonahan.com/mailing-list/  Overcome Your Villains is Available NOW! Order here: https://overcomeyourvillains.com  If you haven't yet, get my first book Confidence Creator Follow Heather on Instagram & LinkedIn Alan Stein Jr. on LinkedIn⁠, ⁠Facebook⁠, Instagram & X

Getting fired doesn't mean you failed. It means you're in powerful company and standing at a new beginning. In this episode, I share how getting fired pushed me out of a life I'd outgrown and into my purpose. I break down how to turn uncertainty into possibility, why responding, not reacting, gives you instant power in any room, and a sample script for confronting workplace bullying. Get ready to choose FAITH over fear so the right doors start opening. In This Episode You Will Learn Why GETTING FIRED puts you in GOOD COMPANY. How to spot your “MAGIC moments” and turn them into a purpose. A sample SCRIPT to ADDRESS workplace bullying with confidence. How to SPOT and ASK for signs that confirm your direction. Framework to PROTECT your mindset during setbacks. PRACTICES to lead with gratitude, and move with faith over fear. Resources + Links Sign up for a one-dollar-per-month trial period at shopify.com/monahan Download the CFO's Guide to AI and Machine Learning at NetSuite.com/MONAHAN. Want to do more and spend less like Uber, 8x8, and Databricks Mosaic? Take a free test drive of OCI at oracle.com/MONAHAN. Get 10% off your first Mitopure order at timeline.com/CONFIDENCE. Get 15% off your first order when you use code CONFIDENCE15 at checkout at jennikayne.com. Call my digital clone at 201-897-2553!  Visit heathermonahan.com Sign up for my mailing list: heathermonahan.com/mailing-list/  Overcome Your Villains is Available NOW! Order here: https://overcomeyourvillains.com  If you haven't yet, get my first book Confidence Creator Follow Heather on Instagram & LinkedIn

Steven Rinella is an outdoorsman, conservationist, and writer. Check out the new season of his show “MeatEater” as well as “The MeatEater Podcast” available on all platforms.  Steven joins Theo to talk about how humans have coexisted with animals throughout history, what goes into doing the craziest bird calls, and why hunters are doing more than anyone to promote conservation in America.  Steven Rinella: https://www.instagram.com/stevenrinella/  ------------------------------------------------ Tour Dates! https://theovon.com/tour New Merch: https://www.theovonstore.com ------------------------------------------------- Sponsored By: Celsius: Go to the Celsius Amazon store to check out all of their flavors. #CELSIUSBrandPartner #CELSIUSLiveFit https://amzn.to/3HbAtPJ  Blue Chew: Go to http://bluechew.com to get your first month of BlueChew FREE with promo code THEO!  Rocket Money: Go to http://rocketmoney.com/theo to cancel your unwanted subscriptions. Oracle: Head to https://www.oracle.com/theo to try OCI for free with zero commitment. Tecovas: Go to http://tecovas.com/theo to get 10% off when you sign up for email and texts. Perplexity AI: Ask anything at https://pplx.ai/theo and download their new web browser Comet at https://comet.perplexity.ai/ ------------------------------------------------- Music: “Shine” by Bishop Gunn Bishop Gunn - Shine ------------------------------------------------ Submit your funny videos, TikToks, questions and topics you'd like to hear on the podcast to: tpwproducer@gmail.com Hit the Hotline: 985-664-9503 Video Hotline for Theo Upload here: https://www.theovon.com/fan-upload Send mail to: This Past Weekend 1906 Glen Echo Rd PO Box #159359 Nashville, TN 37215 ------------------------------------------------ Find Theo: Website: https://theovon.com Instagram: https://instagram.com/theovon Facebook: https://facebook.com/theovon Facebook Group: https://www.facebook.com/groups/thispastweekend Twitter: https://twitter.com/theovon YouTube: https://youtube.com/theovon Clips Channel: https://www.youtube.com/c/TheoVonClips Shorts Channel: https://bit.ly/3ClUj8z ------------------------------------------------ Producer: Zach https://www.instagram.com/zachdpowers Producer: Trevyn https://www.instagram.com/trevyn.s/  Producer: Nick https://www.instagram.com/realnickdavis/ Learn more about your ad choices. Visit megaphone.fm/adchoices

What if the lowest point of your life became the turning point toward your greatest success? In this episode, I sit down with Glenn Lundy to talk about how your mindset and energy shape your reality, why sharing your story inspires connection and service, and how the L.E.A.D.D. framework transforms leadership in life and business. Glenn also shares how to connect with anyone, why a people-first approach drives success, and the morning routine that resets your mindset. Tune in to discover how to communicate with impact, lead with confidence, and attract bigger opportunities. In This Episode, You Will Learn How frequency and energy shape the opportunities you see and attract. Why sharing your story (even the hard parts) inspires and heals. The L.E.A.D.D. framework for becoming a stronger leader. How to use the tone scale for better communication. Morning routine to protect your mindset and momentum. Resources + Links Visit Glenn's Website: ⁠glennlundy.com⁠ Join ⁠800% Elite Automotive Club⁠  Listen to ⁠#RiseandGrind w/Glenn Lundy⁠ & ⁠Breakfast With Champions⁠   Read Glenn's book ⁠The Morning 5 ebook⁠ Sign up for a one-dollar-per-month trial period at shopify.com/monahan Download the CFO's Guide to AI and Machine Learning at NetSuite.com/MONAHAN. Want to do more and spend less like Uber, 8x8, and Databricks Mosaic? Take a free test drive of OCI at oracle.com/MONAHAN. Get 10% off your first Mitopure order at timeline.com/CONFIDENCE. Get 15% off your first order when you use code CONFIDENCE15 at checkout at jennikayne.com. Call my digital clone at 201-897-2553!  Visit heathermonahan.com Sign up for my mailing list: heathermonahan.com/mailing-list/  Overcome Your Villains is Available NOW! Order here: https://overcomeyourvillains.com  If you haven't yet, get my first book Confidence Creator Follow Heather on Instagram & LinkedIn Glenn on LinkedIn, Instagram, Facebook & X

Are you waiting for the “perfect moment” to chase your dreams, or hesitating because of fear? In this episode, I share why you must act before you feel ready and how I built confidence after being fired from corporate America. I also break down how a 30 day plan helped me rebuild self-trust, why fear signals you're on the right path, and how to find the right “room” of supporters, like those I found during the pandemic. Get ready to trade hesitation for action and unlock the confident version of yourself. In This Episode, You Will Learn Why fear signals you're on the right path. How to stop overthinking and start doing. The 30 day plan that helped me rebuild self-trust after setbacks. Why waiting for confidence actually keeps you stuck. How to reframe setbacks as the setup for your next breakthrough. Resources + Links Sign up for a one-dollar-per-month trial period at shopify.com/monahan Download the CFO's Guide to AI and Machine Learning at NetSuite.com/MONAHAN. Want to do more and spend less like Uber, 8x8, and Databricks Mosaic? Take a free test drive of OCI at oracle.com/MONAHAN. Get 10% off your first Mitopure order at timeline.com/CONFIDENCE. Get 15% off your first order when you use code CONFIDENCE15 at checkout at jennikayne.com. Call my digital clone at 201-897-2553!  Visit heathermonahan.com Sign up for my mailing list: heathermonahan.com/mailing-list/  Overcome Your Villains is Available NOW! Order here: https://overcomeyourvillains.com  If you haven't yet, get my first book Confidence Creator Follow Heather on Instagram & LinkedIn

New polling shows young Democrats boosting Zohran Mamdani to victory, and we examine just why; President Trump continues his moves to take control of DC's crime problem; and Gov. Greg Abbott of TX stops by. Click here to join the member-exclusive portion of my show: https://bit.ly/3WDjgHE Ep.2258 - - - Facts Don't Care About Your Feelings - - - DailyWire+: Join millions of people who still believe in truth, courage, and common sense at https://DailyWirePlus.com My new book, “Lions and Scavengers,” drops September 2nd—pre-order today at https://dailywire.com/benshapiro Get your Ben Shapiro merch here: https://bit.ly/3TAu2cw - - - Today's Sponsors: Perplexity - Ask anything at https://pplx.ai/benshapiro and try out their new AI-powered web browser Comet at https://comet.perplexity.ai/. Policygenius - Head to https://policygenius.com/SHAPIRO to get your free life insurance quotes and see how much you could save. Lean (Brickhouse Nutrition) - Visit https://takelean.com and get 20% off with promo code BEN20 Helix Sleep - Go to https://helixsleep.com/ben for an exclusive offer. Oracle - Visit https://oracle.com/shapiro to try OCI for free with zero commitment. Kikoff - Start building credit with Kikoff today, and you can get your first month for as little as $1. Visit https://getkikoff.com/shapiro  - - - Socials: Follow on Twitter: https://bit.ly/3cXUn53  Follow on Instagram: https://bit.ly/3QtuibJ  Follow on Facebook: https://bit.ly/3TTirqd  Subscribe on YouTube: https://bit.ly/3RPyBiB - - - Privacy Policy: https://www.dailywire.com/privacy Learn more about your ad choices. Visit megaphone.fm/adchoices

Trump's new tariff wars launch, and we examine the fallout; is AI the only hope for economic productivity?; and Democrats rally behind radical restructuring of the US Constitution. Click here to join the member-exclusive portion of my show: https://bit.ly/3WDjgHE Ep.2256 - - - Facts Don't Care About Your Feelings - - - DailyWire+: Join millions of people who still believe in truth, courage, and common sense at https://DailyWirePlus.com My new book, “Lions and Scavengers,” drops September 2nd—pre-order today at https://dailywire.com/benshapiro Get your Ben Shapiro merch here: https://bit.ly/3TAu2cw - - - Today's Sponsors: Perplexity - Ask anything at https://pplx.ai/benshapiro and try out their new AI-powered web browser Comet at https://comet.perplexity.ai/ ExpressVPN - Go to https://expressvpn.com/ben and find out how you can get 4 months of ExpressVPN free! Good Ranchers - Visit https://goodranchers.com and subscribe to any box using code BEN to claim $40 off + free meat for life! Chef iQ - Visit https://ChefIQ.com promo code BEN for 15% off sitewide. Oracle - Visit https://oracle.com/shapiro to try OCI for free with zero commitment. Jeremy's Razors - Head to https://jeremysrazors.com/legend and subscribe today. - - - Socials: Follow on Twitter: https://bit.ly/3cXUn53  Follow on Instagram: https://bit.ly/3QtuibJ  Follow on Facebook: https://bit.ly/3TTirqd  Subscribe on YouTube: https://bit.ly/3RPyBiB - - - Privacy Policy: https://www.dailywire.com/privacy Learn more about your ad choices. Visit megaphone.fm/adchoices

Ex-comedian Bill Burr is very upset with me…seven months later…for calling him woke; a newly-uncovered email from a top Hillary Clinton aide suggests her complicity and approval of the Russia hoax; and Kamala Harris announces a new book in the dumbest possible way. Click here to join the member-exclusive portion of my show: https://bit.ly/3WDjgHE Ep.2251 - - - Facts Don't Care About Your Feelings - - - DailyWire+: Watch Journey to the UFC: Joe Pyfer now—streaming exclusively on DailyWire+. My new book, “Lions and Scavengers,” drops September 2nd—pre-order today at https://dailywire.com/benshapiro Get your Ben Shapiro merch here: https://bit.ly/3TAu2cw - - - Today's Sponsors: Perplexity - Ask anything at https://pplx.ai/benshapiro and try out their new AI-powered web browser Comet at https://comet.perplexity.ai/. Kars4Kids - Call now: 1-877-Kars4Kids or donate your car online at https://Kars4Kids.org/ben PreBorn! - Donate today and help save babies from abortion at https://preborn.com/BEN or dial #250 keyword 'BABY' Balance of Nature - Go to https://balanceofnature.com and use promo code SHAPIRO for 35% off your first order as a preferred customer, PLUS get a free bottle of Fiber and Spice Oracle - Visit https://oracle.com/shapiro to try OCI for free with zero commitment. - - - Socials: Follow on Twitter: https://bit.ly/3cXUn53  Follow on Instagram: https://bit.ly/3QtuibJ  Follow on Facebook: https://bit.ly/3TTirqd  Subscribe on YouTube: https://bit.ly/3RPyBiB - - - Privacy Policy: https://www.dailywire.com/privacy Learn more about your ad choices. Visit megaphone.fm/adchoices

The Obama-dominated Democratic Party is dying…but what replaces it? Plus, President Trump announces he's done with playing nice with Vladimir Putin, and Bill Maher explains why open borders are idiotic. Click here to join the member-exclusive portion of my show: https://bit.ly/3WDjgHE Ep.2238 - - - Facts Don't Care About Your Feelings - - - DailyWire+: Join millions of people who still believe in truth, courage, and common sense at https://DailyWirePlus.com. My new book, “Lions and Scavengers,” drops September 2nd—pre-order today at https://dailywire.com/benshapiro Get your Ben Shapiro merch here: https://bit.ly/3TAu2cw - - - Today's Sponsors: Puretalk - Switch to PureTalk and start saving today! Visit https://PureTalk.com/SHAPIRO Helix Sleep - Go to https://helixsleep.com/ben for an exclusive offer. Tax Network USA - For a complimentary consultation, call today at 1 (800) 958-1000 or visit their website at https://TNUSA.com/SHAPIRO Oracle - Visit https://oracle.com/shapiro to try OCI for free with zero commitment. USAFacts.org - Get clear, contextualized facts on the issues that matter. Visit https://usafacts.org/economy/taxes/?utm_source=Podcast&utm_medium=Paid&utm_campaign=Ben+Shapiro - - - Socials: Follow on Twitter: https://bit.ly/3cXUn53 Follow on Instagram: https://bit.ly/3QtuibJ Follow on Facebook: https://bit.ly/3TTirqd Subscribe on YouTube: https://bit.ly/3RPyBiB - - - Privacy Policy: https://www.dailywire.com/privacy