Podcasts about Multicloud

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Play Episode Listen Later Apr 22, 2026 2:05

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.

Multicloud Interconnect and the Great CVE Hunt

AWS Morning Brief

Play Episode Listen Later Apr 20, 2026 5:32

AWS Morning Brief for the week of April 20th, with Corey Quinn. Links:Amazon CloudWatch now supports cross-region telemetry auditing and enablement rulesIntroducing Amazon EC2 C8in and C8ib instancesAmazon Quick now supports multi-account sign-in within the same browserAmazon WorkSpaces Personal and Amazon WorkSpaces Core are now available in two additional AWS RegionsAWS announces general availability of AWS Interconnect - multicloudAutomate AWS Cost Reporting with Scheduled Dashboard Email DeliveryIntroducing Anthropic's Claude Opus 4.7 model in Amazon BedrockIntroducing Amazon Bio DiscoveryCVE-2026-5429 - Kiro IDE Webview Cross-Site Scripting via Workspace Color ThemeIssues with Amazon Athena ODBC DriverIssues with AWS Research and Engineering Studio (RES)CVE-2026-5747 - Out-of-bounds Write in Firecracker virtio-pci Transport

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AWS Multicloud Shows Oracle Leads and AWS Follows

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Play Episode Listen Later Apr 20, 2026 5:41

In today's Cloud Wars Minute, I explore the growing divide between cloud innovators and followers in the AI Era. Highlights 00:03 — Now we see here in April of 2026 a distinction between leaders and followers in the cloud and AI markets. And this came through quite distinctly here. AWS has just launched what it calls its multi-cloud interconnect service, and it's going to be good for some customers. 00:51 — In spite of the fact that AWS cloud revenue is much, much larger than Oracle, size matters, but it is not the only differentiator. Their service is going to start with Google Cloud, and AWS is going to add both Microsoft and Oracle later this year to allow secure data exchange across these clouds. 01:42 — Oracle followed that up with what I call the Microsoft miracle, where it set up these multi-cloud partnerships with its three primary rivals — first Microsoft, then Google Cloud, then AWS — allowing customers to buy and deploy the Oracle database through those other clouds. 02:22 — As far as who is setting the agenda and driving innovation, it's very much more Oracle and Google Cloud, and AWS now is proven a follower. I can't even call them a fast follower, because it's been about three years since they followed up on this. 03:10 — In the midst of the AI revolution and the beginning of the global AI economy, it's much more important to find tech partners who help you create the future, not just improve the past, and that's why innovation that drives rapid business outcomes matters most. 03:56 — So with businesses now being in a situation where they don't have lots and lots of time to tinker and experiment and wait to see what the competitors do, they've got to move very quickly. That's why with the Cloud Wars Top 10, I've put such an emphasis on innovation that drives rapid business outcomes. Visit Cloud Wars for more.

AIOps and Modern IT Operations: Simplifying Multi-Cloud Operations (feat. Michael Nappi)

Web and Mobile App Development (Language Agnostic, and Based on Real-life experience!)

Play Episode Listen Later Apr 8, 2026 58:49

In this episode, Michael Nappi, Chief Product and Engineering Officer at ScienceLogic, shares insights into AI Ops, its role in modern IT management, and how it helps large enterprises and MSPs streamline their infrastructure monitoring and management. Discover how AI-driven automation and observability are transforming IT operations.

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Nathan Thomas on How Multi-Cloud Is Transforming Enterprise AI | Cloud Wars Live

Play Episode Listen Later Mar 24, 2026 16:22

In this episode of Cloud Wars Live, Bob Evans speaks with Nathan Thomas, Senior Vice President of Product Management for Oracle Cloud Infrastructure, about the explosive growth and transformative potential of Oracle's multi-cloud database strategy. Thomas explains how Oracle is enabling customers to run mission-critical databases across AWS, Microsoft Azure, and Google Cloud while unlocking new AI-driven innovation. Their discussion dives into how multi-cloud is reshaping enterprise mindsets, accelerating cloud migrations, and helping organizations fully leverage their data for next-generation applications and agentic AI. Multi-Cloud Momentum The Big Themes: Multi-Cloud Demand Explodes: Oracle's multi-cloud database is seeing massive demand, driven by customers wanting to run Oracle workloads in the same cloud environments as their applications. This shift eliminates friction between systems. The surge is amplified by AI, as organizations look to connect their data with services like Gemini, Bedrock, and Copilot. The reported 500%+ growth reflects not just technical appeal but a fundamental change in how enterprises think about infrastructure. AI Is the Growth Catalyst: Artificial intelligence is accelerating multi-cloud adoption at an unprecedented pace. Customers want their data co-located with AI tools and pipelines, enabling faster insights and innovation. Instead of moving data across environments with latency constraints, multi-cloud lets organizations bring AI to their data. This creates a powerful feedback loop where better access drives more experimentation and faster results. New Builders, New Energy: The adoption of multi-cloud is bringing in a new generation of developers and AI-focused professionals. These users are actively engaging with enterprise data to build innovative applications and AI-driven solutions. This marks a shift from traditional, tightly controlled database environments to more dynamic, accessible platforms. Organizations are no longer treating their data as static assets, they're using it as a foundation for continuous innovation and competitive advantage. The Big Quote: “We hear from customers a lot that they struggle with what I would call the tyranny of choice. There's just way too many options, way too complicated." More from Nathan Thomas and Oracle: Connect with Nathan on LinkedIn or learn more about Oracle and multi-cloud. Visit Cloud Wars for more.

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Oracle ↔ Microsoft Multicloud Miracle: After 2.5 Years, How Do Customers Benefit?

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Play Episode Listen Later Mar 24, 2026 5:18

In today's Cloud Wars Minute, I examine how AI and data access are accelerating unprecedented cooperation among cloud leaders. Highlights 00:03 — It's been two and a half years now since that momentous interview featuring Satya Nadella and Larry Ellison talking about their partnership to do multi-cloud between Oracle and Microsoft. And in some ways, I regard this as the multi-cloud miracle, because we've accepted it. 01:10 — It's opening up more ways in which competing tech vendors are going to work together to drive better benefits, better outcomes for customers. So, I had a very interesting interview with Nathan Thomas, Senior Vice President for Product Marketing at Oracle Cloud Infrastructure, where he heads up the multi-cloud effort. And I wanted to talk to him about the benefits. 02:24 — I want to also go back quickly and touch on what Nadella and Ellison talked about two and a half years ago. One of Ellison's first points, he said, this just makes it easier for customers, and they get the benefits of both Microsoft's top technology and Oracle's top technology optimized to work together. 03:36 — At the time, he said, OpenAI, take it to where the data is. So two and a half years ago, Nadella was very keen on this subject of how this multi-cloud partnership between Oracle and Microsoft would benefit the early days of the AI movement. 04:44 — And when you put it in terms of business outcomes, then these competitive things that are behind the scenes matter less and less. So this is an interesting time. I hope we'll see more of this. Visit Cloud Wars for more.

TCG071: Cloud Cloning and Portability – Why Multi-Cloud Freedom Still Requires Translation (Sponsored)

Packet Pushers - Heavy Networking

Play Episode Listen Later Mar 18, 2026 34:58

In this sponsored episode, FluidCloud co-founders Sharad Kumar and Harshit Omar sit down with William and Eyvonne to discuss how FluidCloud tackles multi-cloud portability. They detail how FluidCloud acts as a cloning platform that scans an existing cloud or VMware environment, extracts complex infrastructure configurations (including compute and storage, as well as firewall rules and... Read more »

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HN818: Introducing LIM: A Large Infrastructure Model for Multi-Cloud Terraform Migration (Sponsored)

Play Episode Listen Later Mar 13, 2026 58:35

One of the early promises of public cloud was that, in theory, you could move workloads from Cloud Provider A to Cloud Provider B for any number of reasons: lower costs, new capabilities, better uptime, and so on. In practice, once a workload goes into a public cloud and you build out all the other... Read more »

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HN818: Introducing LIM: A Large Infrastructure Model for Multi-Cloud Terraform Migration (Sponsored)

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Play Episode Listen Later Mar 13, 2026 58:35

HN818: Introducing LIM: A Large Infrastructure Model for Multi-Cloud Terraform Migration (Sponsored)

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Play Episode Listen Later Mar 13, 2026 58:35

D2DO296: Make Multi-Cloud and Hybrid Cloud Portability a Reality With FluidCloud (Sponsored)

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Play Episode Listen Later Mar 11, 2026 43:44

FluidCloud calls itself a cloud-cloning platform. In other words, the company can map and copy all the cloud infrastructure settings from one public cloud—including compute, storage, networking, and identity—and port those settings to a different public cloud. On today’s sponsored Day Two DevOps, Ned and Kyler talk with FluidCloud’s co-founders to understand how the platform... Read more »

D2DO296: Make Multi-Cloud and Hybrid Cloud Portability a Reality With FluidCloud (Sponsored)

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Play Episode Listen Later Mar 11, 2026 43:44

D2DO296: Make Multi-Cloud and Hybrid Cloud Portability a Reality With FluidCloud (Sponsored)

Day 2 Cloud

Play Episode Listen Later Mar 11, 2026 43:44

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How InfoScale Is Redefining Enterprise Resilience In A Multi-Cloud World

The Tech Blog Writer Podcast

Play Episode Listen Later Mar 6, 2026 32:57

How confident are you that your business could recover from a cyberattack, cloud outage, or infrastructure failure in minutes rather than hours or even days? In this episode of Tech Talks Daily, I explore the changing nature of enterprise resilience with Joseph D'Angelo and Cassie Stanek from InfoScale, now part of Cloud Software Group. Our conversation looks at why many organizations still rely on backup and replication strategies that were designed for a very different era of IT. In a world of hybrid infrastructure, multi-cloud deployments, and increasingly complex application stacks, those traditional tools often protect the data but often fail to restore the business services that depend on it. My guests shares how InfoScale approaches resilience from the application layer outward. Instead of focusing on individual components such as storage or infrastructure, the platform looks at the relationships between applications, services, and data so entire systems can be orchestrated and recovered as a coordinated unit. That distinction becomes especially important during a ransomware attack or cloud outage, where restoring a single database rarely brings a digital business back online. We also discuss how growing regulatory pressure is changing the conversation. Enterprises are no longer expected to simply claim they have disaster recovery processes in place. Increasingly they must demonstrate, test, and prove that recovery capabilities actually work. Cassie explains how controlled "fire drill" rehearsals allow organizations to validate recovery plans without disrupting production systems, creating defensible proof that systems can be restored when it matters most. We also look ahead to the next phase of resilience, where environments will increasingly diagnose, adapt, and respond to disruptions in real time. Instead of reacting after an outage occurs, operational resilience will rely on predictive analytics, anomaly detection, and automated response capabilities that allow systems to self-correct before users ever notice a problem. Throughout our discussion, one theme becomes clear. IT resilience is no longer just an infrastructure conversation. It has become a business continuity strategy that directly affects revenue, customer trust, and competitive advantage. As organizations depend more heavily on digital services, the ability to recover quickly from disruption is becoming one of the defining capabilities of modern enterprise technology. So after listening, I'm curious about your perspective. Do you think most organizations are truly prepared for operational resilience in a multi-cloud world, or are many still relying on backup strategies that were built for a much simpler IT environment?

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Data Sovereignty in a Multi Cloud World

Explain IT

Play Episode Listen Later Feb 24, 2026 37:16

"It's not just about where your data lives - it's about who should, or shouldn't, have access to it."In this episode of Softcat's Explain IT podcast, host Helen Gidney, Head of Architecture at Softcat, is joined by Sabina Anja, Chief Technologist, VMware Cloud Foundation at Broadcom, and Gary Hawkins, Chief Technologist, Hybrid Platforms at Softcat, to demystify the complexities of Data Sovereignty.As organisations face increasing regulatory pressure and the rapid adoption of AI, understanding where your data lives - and who controls it - is critical. The discussion explores how governance, the Cloud Act, and GDPR are reshaping cloud strategies across Europe, driving a renewed interest in private cloud and sovereign cloud solutions.In this episode, Helen, Sabina and Gary discuss:• Defining Data Sovereignty: Why it is not just about location, but about jurisdiction, technical control, and operational access.• The Reality of Repatriation: Analysing the shift back to on-premise or Neo cloud environments to control data, without abandoning public cloud entirely.• Modern Infrastructure: How containers, Kubernetes, and AI demands are influencing infrastructure and data design.• The Power of Platforms: Meaningful insights on using VMware Cloud Foundation 9 (VCF9) to provide a unified control plane for policy-based data sovereignty.Thanks for listening to the Explain IT podcast from Softcat.This podcast is produced by The Podcast Coach. Hosted on Acast. See acast.com/privacy for more information.

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The Unseen Engine: How Enterprise Storage Is Powering Business Innovation in Ireland

Irish Tech News Audio Articles

Play Episode Listen Later Feb 18, 2026 8:47

In the pursuit of digital transformation, businesses often spotlight their cutting-edge applications, their multicloud strategies, or their latest AI models. Yet, behind each of these advancements lies a powerful, unseen engine: the enterprise storage platform. Once regarded as a back?end system, enterprise storage has become a strategic platform that underpins innovation. As Irish organisations race to modernise services, comply with regulation and compete internationally, the way they store, protect, and govern data is turning into a fundamental differentiator. Today's IT leaders face a significant challenge. They must support an ever-expanding portfolio of workloads, from critical business databases to cloud-native applications and data-intensive AI projects. All this must be achieved within the constraints of tight budgets and limited staffing. The sheer volume of data being created and managed is staggering; global data generation is expected to reach 393.9 ZB by 2028, as per IDC. This explosion of information puts immense pressure on infrastructure that was not designed for this scale or complexity, resulting in data foundations under strain According to the latest Dell Innovation Catalyst Study, 48% of Irish organisations are prioritising data readiness for AI-related workload, while 66% say they are still in their early or mid-stage of their AI/GenAI journey. This underscores a reality that organisations want to innovate, but their data foundations and current storage systems are not fully equipped. From Data Silo to Intelligent Hub The perception of enterprise storage as a mere commodity is outdated. Modern platforms have become intelligent hubs that automate complex tasks and unlock new efficiencies. By integrating machine learning and advanced analytics, today's storage systems can proactively optimise workload placement, predict performance bottlenecks before they occur, and simplify management tasks that once consumed countless hours. This shift is relevant in Ireland, where businesses from multinationals to SMEs are accelerating digital transformation under the National AI Strategy. A study Dell undertook found that 96% of Irish organisations face challenges when it comes to identifying, preparing, and using data for AI/GenAI use cases, with 40% struggle to integrate AI systems with existing IT infrastructure. Intelligent storage platforms directly address these pain points by reducing complexity and improving data accessibility without creating new data silos For Irish businesses planning to expand their e-commerce operations and presence, a modern storage platform can intelligently prioritise these diverse workloads, ensuring that customer-facing applications remain responsive while they have high-speed access, they need to train their models that maintain the strategic initiatives that drive business growth. Bridging Private Cloud and Multicloud for Seamless Innovation In today's digital landscape, businesses are increasingly faced with the decision to operate within a private cloud, adopt a multicloud environment, or find a balance between the two. Enterprise storage serves as the reliable backbone for these evolving strategies, delivering the infrastructure needed to provide both security and agility at scale. For Irish businesses relying on private cloud infrastructure, enterprise storage provides robust data protection, predictable performance, and the confidence that sensitive information remains under their control. As organisations here in Ireland expand further into multicloud setups, seamless data mobility becomes essential not just for storing data but also for making it accessible and secure wherever it resides. According to the Dell study, 46% of local organisations plan to modernise their IT with intelligent infrastructure, and another 46% aim to optimise workload placement across edge, core, and cloud environments. The right storage platform is central to both goals: it can synchronise data ac...

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Department of Know: VoidLink threatens multi-cloud, flaw threatens Claude extension, China practices on infrastructure

Cyber Security Headlines

Play Episode Listen Later Feb 17, 2026 33:07

Link to episode page This week's Department of Know is hosted by Sarah Lane with guests Jon Collins, Field CTO, GigaOm, and Adam Palmer, CISO, First Hawaiian Bank Thanks to our show sponsor, Conveyor Ever dream of giving customers instant answers to their security questions without ever filling out another questionnaire? Meet Conveyor's new Trust Center Agent. The Agent lives in your Conveyor Trust Center and answers every customer question, surfaces documents and even completes full questionnaires instantly so customers can finish their review and be on their way. Top tech companies like Atlassian, Zapier, and more are using Conveyor to automate away tedious work. Learn more at www. conveyor.com. All links and the video of this episode can be found on CISO Series.com

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PodChats for FutureCISO: Use behavioural AI to shields against multi-cloud vulnerabilities

CXOInsights by CXOCIETY

Play Episode Listen Later Feb 16, 2026 18:29

For year now, Asia's cyber threat landscape has been marked by escalating nation-state attacks and rampant cloud breaches. In 2026, it stands to be transformed by integrating agentic AI for proactive threat detection. This autonomous technology could pre-empt lateral movements, reduce alert fatigue, and enable real-time breach containment, bolstering defences for organisations amid high cloud saturation and sophisticated adversarial tactics.In this PodChats for FutureCISO, we are joined by Andrew Kay, Director of Systems Engineering APJ at Illumio, to share with us his views on how CISOs in Asia can use behavioural AI to shields against multi-cloud vulnerabilities.1. How are Asian organisations employing machine learning algorithms, such as graph neural networks, within AI frameworks to manage hybrid cloud complexities and mitigate nation-state-sponsored APTs?2. What specific vulnerabilities in multi-cloud environments, exacerbated by Asia's high cloud saturation, enable east-west lateral movement, and how can agentic AI utilise behavioural analytics to pre-empt such exploits?3. How do AI-driven security graphs, leveraging real-time entity resolution and anomaly detection via unsupervised learning, offer a dynamic topology of workloads, users, and communications to identify subtle deviations indicative of threats?4. Amid Asia's exposure to APTs, how can agentic AI leverage multi-agent systems for real-time threat correlation, accelerating decision trees and automating containment protocols like micro-segmentation?5. What capabilities might agentic AI provide in tailoring threat intelligence feeds and remediation workflows to specific roles, such as integrating with SOAR platforms for threat hunters or generating compliance-aligned reports for analysts?6. What technical risks arise from agentic AI deployment, including prompt injection vulnerabilities or model drift leading to erroneous autonomous decisions, and what mitigation strategies, such as human-in-the-loop safeguards, are suitable for Asian regulatory environments?7. Under which conditions could agentic AI interoperate with existing EDR (Endpoint Detection and Response) and XDR (Extended Detection and Response) tools to orchestrate automated responses, such as dynamic access controls, in expansive cloud infrastructures?

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El #multicloud se perfila como la respuesta a la continuidad operativa - con Martín Henao de #IFX

Vida Digital

Play Episode Listen Later Feb 13, 2026 21:57

En esta entrevista de #VidaDigital, Martín Henao, Country Manager de IFX Networks en Panamá, analiza los desafíos de continuidad operativa en el sector bancario panameño y regional, marcado por interrupciones en apps móviles y cajeros automáticos, con pérdidas estimadas en $5,600 por minuto según Gartner.Henao destaca las estrategias multinube como solución clave para mitigar ciberataques como ransomware (uno cada 20 segundos globalmente), phishing y malware, enfatizando balanceo entre nubes privadas (como el data center Tier 3 de IFX en Panamá, SOC 2 Type 2) y públicas, con garantías de costos absorbidos por IFX en fallos.Se abordan temas como inmutabilidad de datos para backups seguros, control de costos (storage caliente/frío, 15-20% más económico que nubes públicas), cumplimiento regulatorio local y el "síndrome del backup de Schrödinger" (respaldo que existe y no existe hasta ser probado), promoviendo simulacros y educación a usuarios para evitar impactos en transacciones diarias. IFX ofrece "seguro de vida" para continuidad, replicación automática y storage como servicio, posicionando la multinube como tendencia dominante para resiliencia financiera en Latinoamérica reactiva ante amenazas cibernéticas.

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The Multi-Cloud Mandate: How Agentic AI Became the Unexpected Answer

The Catalyst by Softchoice

Play Episode Listen Later Feb 11, 2026 26:49 Transcription Available

Multi-cloud used to be a dirty word — something that happened to you through mergers, shadow IT, or teams gone rogue with corporate cards. But the walls came down, the standards converged, and best-of-breed finally seemed within reach. Then AI arrived with a whole new layer of complexity.Or did it?In this episode, we explore how agentic AI might actually solve the thing that made multi-cloud hard in the first place. Three cloud experts—Jack French from World Wide Technology, Alex Kozaris from Softchoice's AWS practice, and Ron Espinosa from Softchoice's Google Cloud team—break down what's changed, what matters for mid-market teams, and why the "gold record" might finally be possible. Key Takeaways:• Why 90% of organizations are already multi-cloud (whether they planned to be or not)• How abstraction layers and platform engineering help smaller teams manage complexity• What each major cloud does best: AWS for builders, Microsoft for productivity, Google for data/AI• The compliance curve ball forcing some organizations into multi-cloud for AI governance• How agentic AI creates "connective tissue" that makes integration problems irrelevant Featuring:• Jack French, Senior Director of Cloud, World Wide Technology• Alex Kozaris, Public Cloud Leader for AWS, Softchoice• Ron Espinosa, Google Cloud Category Director, SoftchoiceThe Catalyst by Softchoice is the podcast dedicated to exploring the intersection of humans and technology.

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2026 Annual Predictions Episode

The Pure Report

Play Episode Listen Later Feb 10, 2026 61:58

It's the Pure Report annual predictions episode! We welcome Shawn Rosemarin to dive deep into the world of tech in 2026, including a look back at 2025 predictions on AI becoming a strategist, Multi-Cloud 2.0 requiring a unified data platform, and end-to-end security ramping up. Shawn holds himself accountable for last year's bets, particularly noting that the expected "operating model transformation" driven by AI has yet to fully materialize, arguing that many organizations are still grappling with the hard changes to people, process, and technology required for true transformation. Our conversation pivots to what's next, starting with the evolution of AI from simple co-pilots to autonomous agents that will soon become mature process owners capable of completing end-to-end workflows. This shift will require a greater emphasis on verification, changing the industry's focus from time to answer to time to trust (or time to truth) as enterprises build verification stacks to ensure AI accuracy, recognizing that every mistake costs money and customer satisfaction. Finally, Rosemarin forecasts that growing energy scarcity will drive new AI economics, forcing serious programs to run AI like a business system by routing queries to the most efficient models. Furthermore, he predicts that data stops being an asset and evolves to a supply chain, necessitating a manufacturing-like process to refine structured, semi-structured, and unstructured data for uniform consumption by training systems. This new landscape will ultimately punish infrastructure complexity and reward the platform mindset that simplifies operations and removes friction through automation and orchestration. To learn more, visit https://blog.purestorage.com/perspectives/2026-ai-predictions-data-storage/ Check out the new Pure Storage digital customer community to join the conversation with peers and Pure experts: https://purecommunity.purestorage.com/ 00:00 Intro and Welcome 09:30 Look back at 2025 Predictions 17:33 William Gibson Quote on the Future 22:20 2026 Predictions - Copilots Become Agents 26:48 Verification and Time to Trust 30:30 Energy Scarcity and AI Economics 34:13 Data as a Supply Chain 38:50 Relevance Engines 42:10 Platform Mindset 45:43 Content Authenticity 49:37 Cyber as an Executive Imperative 52:35 Workforce Productivity 55:21 Summary of 2026 Predictions

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UNC3886 targets Singapore telecoms, VoidLink exhibits multi-cloud capabilities and AI code, 135,000+ OpenClaw instances exposed

Cyber Security Headlines

Play Episode Listen Later Feb 10, 2026 7:10

UNC3886 targets Singapore telecom sector VoidLink exhibits multi-cloud capabilities and AI code 135,000+ OpenClaw instances exposed to internet Get the show notes here: https://cisoseries.com/cybersecurity-news-february-10-2026/ Huge thanks to our episode sponsor, ThreatLocker Want real Zero Trust training? Zero Trust World 2026 delivers hands-on labs and workshops that show CISOs exactly how to implement and maintain Zero Trust in real environments. Join us March 4–6 in Orlando, plus a live CISO Series episode on March 6. Get $200 off with ZTWCISO26 at ztw.com.

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Oracle Multicloud Made Easy

Oracle University Podcast

Play Episode Listen Later Feb 3, 2026 17:12

Multicloud is changing the way modern teams run their workloads: with real choice and real control. In this episode, hosts Lois Houston and Nikita Abraham welcome Senior Principal OCI Instructor Sergio Castro, who explains how Oracle has partnered with Microsoft Azure, Google Cloud, and AWS to bring Oracle Database directly inside their data centers, unlocking sub-millisecond latency and new levels of flexibility. They discuss how organizations can seamlessly migrate from on-premises or between clouds with minimal disruption, take advantage of best-in-class cloud services, and enhance business continuity. 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 Lois: Hello and welcome to the Oracle University Podcast! I'm Lois Houston, Director of Communications and Adoption with Customer Success Services, and with me is Nikita Abraham, Team Lead: Editorial Services. Nikita: Hi everyone! We're kicking off a new season of the podcast today, this time on Oracle Database@AWS. But before we fully dive into that, we've got Sergio Castro with us to introduce multicloud and talk about some of its use cases. Sergio, who you may have heard on the podcast before, is a Senior Principal OCI Instructor with Oracle University. 01:02 Lois: Hi Sergio! Thanks for joining us today. We've spoken a lot about multicloud before, but we couldn't possibly discuss Oracle Database@AWS without another quick intro to multicloud. So, for anyone who doesn't already know, what is multicloud? And could you also talk about what Oracle is doing in this space? Sergio: It is the use of several Cloud providers to deliver an IT service. Basically, a multi-cloud strategy allows organizations to distribute their workloads across multiple Cloud platforms and providers. This will help aiding the flexibility when picking the right tool for each job. Basically, by selecting the best Cloud Service, IT architects can take advantage of each provider's strengths, including custom hardware, software, and service capabilities. And Oracle is a pioneer in multi-cloud. We have partnerships with Azure, Google Cloud, AWS, and we've been doing multi-cloud since 2019, including Oracle Interconnect for Azure and Oracle Interconnect for Google Cloud. Our multi-cloud products is the Oracle Database Service at Azure, at Google Cloud, and at AWS. Here we have our database inside the data centers of these Cloud Service providers. And multi-cloud can be complemented by resources that you have on-premises, providing you with a hybrid Cloud model. And our public Cloud offerings are not limited to the commercial realm. Multi-cloud is beginning to be available also in the government realm. You can now find Oracle Interconnect for Azure in the US government realm. We also have government realm offerings in the UK and in the European Union. And of course, dedicated Cloud. If you're going to be involving on-premises, you can also have all the Oracle Cloud Infrastructure resources behind your firewall, behind your routers with dedicated Cloud. So the offers from Oracle Cloud Infrastructure are really exceptional. It offers you great flexibility and choice. And the choice is yours. You select the platform for your Oracle Cloud solutions. 03:39 Nikita: You've already mentioned a few of them, but could you talk about the various benefits of multicloud? Sergio: A solid multi-cloud approach enables organizations to leverage the unique strengths and offerings of various Cloud service providers. By not being limited to a single vendor's capabilities or policies, businesses can adapt quickly to changing environments, deploy workloads where they fit best, and rapidly integrate new solutions as market demands evolve. Relying on a single Cloud vendor can make it challenging and costly to migrate workloads or switch providers if businesses needs change. Multi-cloud strategies mitigate this risk by distributing applications and data across multiple platforms, making technology transition smoother and giving organizations greater bargaining power. Now, diminishing single points of failure at the Cloud service provider level is great, because distributing systems and data across multiple clouds can definitely reduce dependence on a single provider or region. This increased geographic diversity improves resilience and provides a more robust backup and recovery option, helping to ensure business continuity in the event of a disaster or even an outage. With access to a range of pricing models and service levels from different providers, organizations can allocate workloads based on cost effectiveness. This best fit approach encourages cost savings by enabling the selection of the most economical provider for each workload. And this facilitates continuous cost optimization efforts. For example, OCI provides significantly lower data egress charges, this in comparison to our competitors. Multicloud management empowers organizations to place their workloads in the environments where they perform the best. By distributing workloads based on latency, processing power, or data proximity, businesses can realize performance improvements and achieve higher availability for their critical services. Now regarding best of breed, each Cloud provider brings unique innovations and specialized services to the market. With a multi-cloud approach, organizations can tailor solutions to meet specific business needs. Operating across multiple Cloud platforms means access to a wider array of data centers worldwide. This extended reach supports expansion into new markets, improves local performance for users, and helps satisfy data sovereignty requirements in diverse jurisdictions. And speaking about jurisdictions, this flexibility helps meet industry standards and regional data protection laws more effectively. 06:50 Nikita: You mentioned that Oracle's multicloud journey started in 2019 with Azure. What was that early phase like? Sergio: The Oracle Cloud Infrastructure multi-cloud offering started with the Oracle Interconnect for Microsoft Azure, where we connect FastConnect, our digital circuit, to the equivalent Express Route, the digital circuit of Microsoft Azure. Basically FastConnect, it is used typically for extending the OCI services into on-premises. In this case, it is extending these services into another Cloud Service provider, Microsoft Azure or various applications. 07:29 Lois: And then we moved on to Oracle Database Service for Azure, right? Sergio: It's very similar to what we have right now, the Oracle Database Service at Azure, except that back then, the interface was on OCI. Basically on OCI, we had a console that resembled Azure, but all the services were still running on OCI. Now, the difference with Oracle Database Service at Azure is that we extended Oracle Cloud Infrastructure into the Azure data centers. So Oracle Database at Azure is a child site in the Microsoft Azure data centers. Basically we are placing our hardware in Azure data centers. And this gives us a very good latency, sub-one millisecond latency. 08:24 Lois: What about Oracle's multicloud services with Google and Amazon Web Services? Sergio: Oracle Interconnect org and Oracle Database app are available for Google Cloud. We do have a service called Oracle Interconnect or Google Cloud, similar to the Azure one. And we also have the Oracle Database inside the Google Cloud data centers operating as a child site. And back in 2024 during Oracle Cloud World, we announced Oracle Database@AWS. This product is now available in two AWS regions. In a similar way, we have the Oracle Database inside the AWS data center with sub-one millisecond latency. We are currently in two data centers, but we have brought plans for being available in over 20 plan regions between Oracle Cloud and Amazon Web Services. 09:32 Nikita: Sergio, how do the capabilities of Oracle Database multicloud help enterprises modernize? Sergio: Oracle Database multi-cloud capabilities help enterprise modernize, adopting a Gen AI strategy, obviously, using the Oracle database to bring Oracle's powerful AI to business data. When you move to multi-cloud environments, you have a playground for you to test and run your workloads and then go into productions with your choice of services on the Oracle Exadata. And reducing risk, it's very easy to move to cloud and gain Oracle maximum availability architecture benefits. And by moving into a multi-cloud environment, you guarantee that you're going to be lowering your cost because you're going to be selecting the best of breed of the services that the Cloud Service provider can offer. Now, with the Oracle Database on multi-cloud environments, you're able to port your Oracle Database knowledge that you have from on-premises to a single cloud provider to a multi-cloud environment. It is the same solution, the same Oracle Database capabilities available everywhere-- on-premises, on your private cloud, on a single cloud provider, or on a multi-cloud environment. Having the same capabilities make it very easy to migrate from on-premises or to migrate from one cloud service provider to the other. Oracle Database multi-cloud solutions really offer the best of both worlds. So a choice of services directly from hyperscaler marketplace and the vendor's cloud portal. 11:21 Lois: And when you say "hyperscalers," who exactly are you referring to? Sergio: These hyperscalers, we're talking about OCI, we're talking about Azure, we're talking about Google cloud, we're talking about AWS. Having the Oracle Database inside the Cloud data centers, regardless of who the hyperscaler provider is, guarantees low latency from your application into your database. But Oracle Database is not the only product. We also offer Oracle Interconnect for Azure and GCP. So if you want to go beyond Oracle Database@Cloud Service provider, or if you're looking to going into a region where the service is not available yet, you can leverage the Oracle Interconnect for Azure or Google Cloud platform. Basically, this service interconnects the Cloud Service providers. We have a partnership and selected regions where we interconnect with either Azure or Google Cloud platform. 12:25 Are you working toward an Oracle Certification? Join one of our live certification prep events! Get insider tips from seasoned experts and connect with others on the same path. Visit mylearn.oracle.com and kick off your certification journey today! 12:45 Nikita: Welcome back! Sergio, could you tell us about some key Oracle Database multicloud use cases? Sergio: Move to cloud. Lift and shift from on-premises to Cloud. Lift and shift from one Cloud Service provider to the other, and consolidate your database on Exadata. This will guarantee all the tools that you need for building innovative applications, bringing artificial intelligence to your business data, on the Oracle powerful AI suite, and combine Database AI with hyperscaler services and frameworks. Remember, the best of breed from the Cloud Service provider of your choice. And this will allow you to reduce complexity and cost. Now according to knowledge is not the only thing. You can also lift and ship without refactoring your data, reducing migration times, complexity, and costs with the Oracle Database Exadata and maximum availability architecture. 13:47 Nikita: What are the key differentiators and benefits of moving Oracle Database workloads to the cloud? Sergio: Extreme performance. Accelerate your database workloads with scalability, scale infrastructure, and consumption, and extreme cost optimization. But that's not all. You also get extreme availability with the Oracle maximum availability architecture, extreme resiliency, making sure that you're always running with high availability and disaster recovery protection and extreme simplicity. So you can use all your Oracle Database and Exadata capabilities. Build innovative applications with Cloud-First capabilities. These are Cloud native capabilities that are going to enable you to innovate for all your applications. And having a unified multi-cloud environment reduce complexity and cost because you can leverage your Exadata infrastructure with share licenses, low administration with database lifecycle automation, and purchase through your hyperscaler marketplace. So you can only have one vendor running all billing, even if you're leveraging multi-cloud solutions. And you can leverage your Oracle investments with bring-your-own-license and earn up to 33% towards Oracle tech license. Reduce administration by up to 65% with the Autonomous self-driving database. Only pay consumption for actual usage with online scaling, Autonomous Database, elastic pools, and per second billing. And enjoy advanced features at no added cost, like using the built-in AI vector search. 15:31 Lois: Can you give us a real-world example of a company using Oracle Database@AWS? Sergio: Fidelity Investments rely on Oracle Database@AWS. They were one of the very first customers to leverage the best of both worlds, in this case, the offering from the AWS hyperscale applications and the Oracle Database Exadata Cloud service inside AWS. Specifically, Fidelity uses this integration to make it easier to move some of its database workloads to AWS, combining the reliability and security of AWS with the critical enterprise software provided by Oracle. 16:17 Lois: Thank you, Sergio, for joining us on the podcast! To learn more about what we discussed today, head over to mylearn.oracle.com and search for the Oracle Database@AWS Architect Professional course. Join us next week when we dive deep into what Oracle Database@AWS is all about. Until then, this is Lois Houston… Nikita: And Nikita Abraham, signing off! 16:43 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.

Best of 2025: What is Multicloud?

Oracle University Podcast

Play Episode Listen Later Dec 9, 2025 11:55

This week, hosts Lois Houston and Nikita Abraham are shining a light on multicloud, a game-changing strategy involving the use of multiple cloud service providers. Joined by Senior Manager of CSS OU Cloud Delivery Samvit Mishra, they discuss why multicloud is becoming essential for businesses, offering freedom from vendor lock-in and the ability to cherry-pick the best services. They also talk about Oracle's pioneering role in multicloud and its partnerships with Microsoft Azure, Google Cloud, and Amazon Web Services. Oracle Cloud Infrastructure Multicloud Architect Professional: https://mylearn.oracle.com/ou/course/oracle-cloud-infrastructure-multicloud-architect-professional-2025-/144474 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, David Wright, Kris-Ann Nansen, 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! 00:25 Lois: Welcome to the Oracle University Podcast! I'm Lois Houston, Director of Communications and Adoption with Customer Success Services, and with me is Nikita Abraham, Team Lead: Editorial Services with Oracle University.  Nikita: Hi everyone! You're listening to our Best of 2025 series, where over the next few weeks, we're revisiting four of our most popular episodes of the year.    Lois: Today is #2 of 4, and we're throwing it back to an episode with Senior Manager of CSS OU Cloud Delivery Samvit Mishra. This episode was all about shining a light on multicloud, a game-changing strategy involving the use of multiple cloud service providers.   01:07 Nikita: That's right, Lois. Oracle has been an early adopter of multicloud and a pioneer in multicloud services. So, we began that conversation by asking Samvit to explain what multicloud is and why someone would need more than one cloud provider. Samvit: Multicloud is a very simple, basic concept. It is the coordinated use of cloud services from more than one cloud service provider. 01:30 Nikita: But why would someone want to use more than one cloud service provider? Samvit: There are many reasons why a customer might want to leverage two or more cloud service providers. First, it addresses the very real concern of mitigating or avoiding vendor lock-in. By using multiple providers, companies can avoid being tied down to one vendor and maintain their flexibility. 01:53 Lois: That's like not putting all your eggs in one basket, so to speak. Samvit: Exactly. Another reason is that customers want the best of breed. What that means is basically leveraging or utilizing the best product from one cloud service provider and pairing it against the best product from another cloud service provider. Getting a solution out of the combined products…out of the coordinated use of those services. 02:22 Nikita: So, it sounds like multicloud is becoming the new normal. And as we were saying before, Oracle was a pioneer in this space. But why did we embrace multicloud so wholeheartedly? Samvit: We recognized that our customers were already moving in this direction. Independent studies from Flexera found that 89% of the subjects of the study used multicloud. And we conducted our own study and came to similar numbers. Over 90% of our customers use two or more cloud service providers. HashiCorp, the big infrastructure as code company, came to similar numbers as well, 94%. They basically asked companies if multicloud helped them advance their business goals. And 94% said yes. And all this is very recent data. 03:13 Lois: Can you give us the backstory of Oracle's entry into the multicloud space? Samvit: Sure. So back in 2019, Oracle and Microsoft Azure joined forces and announced the interconnect service between Oracle Cloud Infrastructure and Microsoft Azure. The interconnect was between Oracle's FastConnect and Microsoft Azure's ExpressRoute. This was a big step, as it allowed for a direct connection between the two providers without needing a third-party. And now we have several of our data centers interconnected already. So, out of the 48 regions, 12 of them are already interconnected. And more are coming. And you can very easily configure the interconnect. This interconnectivity guarantees low latency, high throughput, and predictable performance. And also, on the OCI side, there are no egress or ingress charges for your data. There's also a product called Oracle Database@Azure, where Oracle and Microsoft deliver Oracle Database services in Microsoft Azure data centers. 04:20 Lois: That's exciting! And what are the benefits of this product? Samvit: The main advantage is the co-location. Being co-located with the Microsoft Azure data center offers you native integration between Azure and OCI resources. No manual configuration of a private interconnect between the two providers is needed. You're going to get microsecond latency between your applications and the Oracle Database. The OCI-native Exadata Database Service is available on Oracle Database@Azure. This enables you to get the highest level of Oracle Database performance, scalability, security, and availability. And your tech support can be provided either from Microsoft or from Oracle. 05:11 AI is being used in nearly every industry…healthcare, manufacturing, retail, customer service, transportation, agriculture, you name it! And it's only going to get more prevalent and transformational in the future. It's no wonder that AI skills are the most sought-after by employers. If you're ready to dive in to AI, check out the OCI AI Foundations training and certification that's available for free! It's the perfect starting point to build your AI knowledge. So, get going! Head on over to mylearn.oracle.com to find out more. 05:51 Nikita: Welcome back. Samvit, there have been some new multicloud milestones from OCI, right? Can you tell us about them? Samvit: That's right, Niki. I am thrilled to share the latest news on Oracle's multicloud partnerships. We now have agreements with Microsoft Azure, Google Cloud, and Amazon Web Services. So, as we were discussing earlier, with Azure, we have the Oracle Interconnect for Azure and Oracle Database@Azure. Now, with Google Cloud, we have the Oracle Interconnect for Google Cloud. And it is very similar to the Oracle Interconnect for Azure. With Google Cloud, we have physically interconnected data centers and they provide a sub-2 millisecond latency private interconnection. So, you can come in and provision virtual circuits going from Oracle FastConnect to Google Cloud Interconnect. And the best thing is that there are no egress or ingress charges for your data. The way it is structured is you have your Oracle Cloud Infrastructure on one side, with your virtual cloud network, your subnets, and your resources. And on the other side, you have your Google Cloud router with your virtual private cloud subnet and your resources interconnecting. You initiate the connectivity on the Google Cloud side, retrieve the service key and provide that service key to Oracle Cloud Infrastructure, and complete the interconnection on the OCI side. So, for example, our US East Ashburn interconnect will match with us-east4 on the Google Cloud side. 07:29 Lois: Now, wasn't the other major announcement Oracle Database@Google Cloud? Tell us more about that, please. Samvit: With Oracle Database@Google Cloud, you can run your applications on Google Cloud and the database inside the Google Cloud platform. That's the Oracle Cloud Infrastructure database co-located in Google Cloud platform data centers. It allows you to run native integration between GCP and OCI resources with no manual configuration of private interconnect between these two cloud service providers. That means no FastConnect, no Interconnect because, again, the database is located in the Google Cloud data center. And you're going to get microsecond latency and the OCI native Exadata Database Service. So, you're going to gain the highest level of Oracle Database performance, scalability, security, and availability. 08:25 Lois: And how is the tech support managed? Samvit: The technical support is a collaboration between Google Cloud and Oracle Cloud Infrastructure. That means you can either have the technical support provided to completion by Google Cloud or by Oracle. One of us will provide you with an end-to-end solution. 08:43 Nikita: During CloudWorld last year, we also announced Oracle Database@AWS, right? Samvit: Yes, Niki. That's where Oracle and Amazon Web Services deliver the Oracle Database service on Oracle Cloud Infrastructure in your AWS data center. This will provide you with native integration between AWS and OCI resources, with no manual configuration of private interconnect between AWS and OCI. And you're getting microsecond latency with the OCI-native Exadata Database Service. And again, as with Oracle Database@Google Cloud and Oracle Database@Azure, you're gaining the highest level of Oracle Database performance, scalability, security, and availability. And the technical support is provided by either AWS or Oracle all the way to completion. Now, Oracle Database@AWS is currently available in limited preview, with broader availability in the coming months as it expands to new regions to meet the needs of our customers. 09:49 Lois: That's great. Now, how does Oracle fare when it comes to pricing, especially compared to our major cloud competitors? Samvit: Our pricing is pretty consistent. You'll see that in all cases across the world, we have the less expensive solution for you and the highest performance as well. 10:06 Nikita: Let's move on to some use cases, Samvit. How might a company use the multicloud setup? Samvit: Let's start with the split-stack architecture between Oracle Cloud Infrastructure and Microsoft Azure. Like I was saying earlier, this partnership dates back to 2019. And basically, we eliminated the FastConnect partner from the middle. And this will provide you with high throughput, low latency, and very predictable performance, all of this on highly available links. These links are redundant, ensuring business continuity between OCI and Azure. And you can have your database on the OCI side and your application on Microsoft Azure side or the other way around. You can have SQL Server on Azure and the application running on Oracle Cloud Infrastructure. And this is very easy to configure. 10:55 Lois: It really sounds like Oracle is at the forefront of the multicloud revolution. Thanks so much, Samvit, for shedding light on this exciting topic. Samvit: It was my pleasure. Nikita: That's a wrap for today. To learn more about what we discussed, head over to mylearn.oracle.com and search for the Oracle Cloud Infrastructure Multicloud Architect Professional course. Lois: We hope you enjoyed that conversation. Join us next week for another throwback episode. Until then, this is Lois Houston...  Nikita: And Nikita Abraham, signing off!  11:26 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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GOOGL & AMZN Form Multicloud Service, CRM Early Adopter

TD Ameritrade Network

Play Episode Listen Later Dec 1, 2025 6:14

Alphabet (GOOGL) and Amazon (AMZN) are combining Google Cloud and AWS to form one super service that aims to benefit both companies and ensure more security. Marley Kayden explains how the partnership works and the shift it indicates for cloud servicers ahead. As Marley explains, Salesforce (CRM) is one of the first companies to test out the tech. ======== Schwab Network ========Empowering every investor and trader, every market day.Options involve risks and are not suitable for all investors. Before trading, read the Options Disclosure Document. http://bit.ly/2v9tH6DSubscribe to the Market Minute newsletter - https://schwabnetwork.com/subscribeDownload the iOS app - https://apps.apple.com/us/app/schwab-network/id1460719185Download the Amazon Fire Tv App - https://www.amazon.com/TD-Ameritrade-Network/dp/B07KRD76C7Watch on Sling - https://watch.sling.com/1/asset/191928615bd8d47686f94682aefaa007/watchWatch on Vizio - https://www.vizio.com/en/watchfreeplus-exploreWatch on DistroTV - https://www.distro.tv/live/schwab-network/Follow us on X – https://twitter.com/schwabnetworkFollow us on Facebook – https://www.facebook.com/schwabnetworkFollow us on LinkedIn - https://www.linkedin.com/company/schwab-network/ About Schwab Network - https://schwabnetwork.com/about

service options ios aws google cloud sling early adopters multicloud vizio amzn googl amazon amzn salesforce crm market minute

505 Bumpers 89

Reversim Podcast

Play Episode Listen Later Nov 22, 2025

פרק מספר 505 של רברס עם פלטפורמה - באמפרס מספר 89, שהוקלט ב-13 בנובמבר 2025, רגע אחרי כנס רברסים 2025 [יש וידאו!]: רן, דותן ואלון (והופעת אורח של שלומי נוח!) באולפן הוירטואלי עם סדרה של קצרצרים מרחבי האינטרנט: הבלוגים, ה-GitHub-ים, ה-Claude-ים וה-GPT-ים החדשים מהתקופה האחרונה.

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Ep. 226 Finding Your Best Strategy for a Multi-Cloud Environment

Feds At The Edge by FedInsider

Play Episode Listen Later Nov 20, 2025 61:06

Making the transition from on-prem to the multi-cloud is difficult enough; today, we get a dose of reality from three experts in the multi-cloud world. They talk about making transitions, assumptions, and data security. Jessica Van Erde from GovRAMP begins with three practical suggestions. The most obvious approach is to compare cloud service providers to ensure they have appropriate security compliance. Second, each CSP has variations in support. Does your team have training in the varying environments? Finally, to gain a thorough understanding of the replacement services, it is essential to consider whether the other provider is actually providing the savings you expect. Van Erde refers to this as a "Customer Responsibility Matrix." Dan Wilkins from Arizona expands on that concept when he suggests that a user develops a list of minimum requirements from a cloud vendor and produces a gap analysis – how each meets the requirements. By now, users understand some of the sticker shock that can result from the egress of data; some costs are not immediately apparent, according to Nick Peters from Rubrik. The example he uses is the costs with AWS. When transferring within the zone, it can be cheap. However, when that same amount of data crosses regions, it can be much more expensive.

strategy arizona environment aws rubrik csp best strategies multicloud nick peters

Larry Ellison: Oracle Multicloud Rev. +1,529%

ai google microsoft oracle aws google cloud ai revolution microsoft azure larry ellison multicloud oracle database

Play Episode Listen Later Nov 13, 2025 5:07

In today's Cloud Wars Minute, I take a look at how Oracle's bold multicloud partnerships — with Microsoft, AWS, and Google Cloud.Highlights00:15 — One of the ways in which Oracle has been distinguishing itself is not just with its new technology, but with interesting go-to-market approaches. Now, Ellison recently said that while Oracle's multicloud business, where its three competitors, Microsoft, AWS, and Google Cloud, all offer the Oracle Database to their customers, that revenue was up over 1,500%.01:11 — He said so far, almost all of that growth has been generated by the Microsoft partnership because it was the first to come on board. Ellison believes that as the AWS partnership and Google get up to speed — and they get all the infrastructure set up to support that — you'd think that's going to drive a new round of growth for the Oracle Database business.02:12 — Can the Oracle Database hit $20 billion in revenue in five years? Ellison seemed bullish on that. One reason is the new Oracle AI Database, purpose-built for the AI Revolution. Second is these multicloud partnerships. There's such a demand among customers who have wanted the Oracle Database but have felt trapped using Microsoft Azure, AWS, or Google Cloud.03:15 — The AI reasoning, which Ellison was calling it, also known as inferencing, is something a lot of companies are going to be doing when they take these new tools and say, “How do I suit this for my retail company or my clothing company or my trucking company?” That's where, Ellison said, everybody's going to want to do this. He sees massive demand for it.04:32 — In a full-length article that I have today on CloudWars.com, I offer four specific points on why this approach that Ellison led with Oracle — and that the others fully agreed to — is so important. It's a great trend moving forward in the direction of more capability, more choice, more power in the hands of customers here in the buyer-seller equation. Visit Cloud Wars for more.

KUBICAST #190 - Engenharia de plataforma com o Fury do MercadoLivre

Getup Kubicast

Play Episode Listen Later Nov 13, 2025 81:14

A gente sentou com um trio do Mercado Livre para abrir a caixa-preta do Fury, a plataforma que sustenta milhares de serviços e times. Falamos sobre como transformar Kubernetes em um produto de plataforma consumível, com autonomia para os times e guardrails que não viram algemas. Sim, é sobre Platform Engineering de verdade, com aprendizados que doem no bolso e no pager.Entramos em detalhes de experiência do desenvolvedor (DX), SDKs, templates e Golden Path no Backstage, além das escolhas que tornaram o Fury utilizável por centenas de times sem precisar “fazer kubectl em produção”. Também discutimos arquitetura multi-cloud, clusters por criticidade, autoscaling (Karpenter/KEDA) e como democratizar observabilidade sem expor todo mundo ao PromQL às 3 da manhã.Para fechar com chave de ouro, falamos de governança e segurança no dia a dia (DevSecOps na prática), SLIs/SLOs e o dilema entre padronização e liberdade. Tem história de guerra, roadmap, trade-offs e até as dicas de carreira dos convidados. Todos os links citados (Backstage, ArgoCD/GitOps, Karpenter, KEDA e materiais sobre Platform Engineering) estão na seção de DESTAQUES abaixo para você explorar.Links:Saiba mais sobre o Fury - https://medium.com/mercadolibre-tech/subpage/79a519305008Julia Pedroza - https://www.linkedin.com/in/julianunesp/Juliano Martins - https://www.linkedin.com/in/julianommartins/Marcelo Quadros - https://www.linkedin.com/in/quadros-marcelo/João Brito - https://www.linkedin.com/in/juniorjbn/O Kubicast é uma produção da Getup, empresa especialista em Kubernetes e projetos open source para Kubernetes. Os episódios do podcast estão nas principais plataformas de áudio digital e no YouTube.com/@getupcloud.

OpenAI Adds AWS in Multi-Cloud Push

Lex Fridman Podcast of AI

Play Episode Listen Later Nov 5, 2025 4:59

In this episode, we unpack OpenAI's new multiyear compute deal with AWS—covering custom Nvidia GB200/GB300 infrastructure, why AI is going multi-cloud, and how a revamped Microsoft pact and Oracle's Stargate buildout factor into supply hedging. We also examine the governance and market angles, from PBC-enabled mega-raises to Amazon backing both OpenAI and Anthropic, and what it all means for agent-AI monetization vs. bubble risks.Get the top 40+ AI Models for $20 at AI Box: ⁠⁠https://aibox.ai

amazon ai microsoft oracle openai adds aws stargate anthropic pbc ai models multicloud

Oracle's Juan Loaiza Discusses Trust Privacy, Security in the Age of AI | Cloud Wars Live

Oracle University Podcast

Play Episode Listen Later Nov 3, 2025 18:56

Juan Loaiza is the EVP of Database Technologies at Oracle. In today's special episode of Cloud Wars Live, Loaiza joins Bob Evans to discuss how AI is transforming the way businesses interact with data. He spotlights Oracle's new AI-native database, the importance of trust and security in enterprise AI, and why business users now play a bigger role in data strategy. It's a revealing look at how Oracle is shaping the future of intelligent data systems.The AI Data RevolutionThe Big Themes:Trust, Governance, and Privacy Must Be Built Into the AI‑Data Stack: One of the strongest points made by Loaiza is about the risk of AI in enterprises: hallucinations, mis‑use of data, privacy violations, regulatory consequences. When mission‑critical systems (hospitals, banks, telecoms) are involved, errors are unacceptable and can be illegal. Oracle's approach is to embed privacy and access controls down into the database engine: the system knows who the end user is, what they can see, and ensures AI cannot leak unauthorized data.Multi‑Cloud, On‑Premises, Hybrid — Customers Want Flexibility: Loaiza describes how Oracle is enabling customers to run their database and AI workloads wherever they need: on‑premises, in public clouds (AWS, Azure, Google Cloud), or via “cloud at your data center” options like Exadata Cloud@Customer. This speaks to regulatory, latency, data sovereignty and operational constraints. For enterprises, the takeaway is that deployment flexibility is essential. A one‑size‑fits‑all cloud model may not meet strategic needs.Business Users and Developers Now Have Voices in Database Strategy: Historically, databases were the domain of DBAs, IT operations, and infrastructure teams. Now business users and developers also have meaningful voices because of AI democratizing access. This shift means organizational structures, roles and processes must change. Data governance, training, tool‑selection and deployment pipelines need to reflect that the “consumer” of the database is broader.The Big Quote: “[AI] can translate English to this language of computers, the language of data, which is SQL. So, what that means is you don't have to learn this crazy language anymore. So pretty much anyone, business people, lay people, can now talk using their normal natural language to the database, and the database will understand what they're saying and give them answers, build applications to all these and this is something I honestly never thought I'd see in my entire life, and it's here today."More from Juan Loaiza and Oracle:Follow Juan on LinkedIn or learn more about Oracle's approach to security. Visit Cloud Wars for more.

trust ai english data oracle governance evp aws azure data privacy google cloud sql ai revolution data security ai integration multicloud bob evans business outcomes data lake application development natural language loaiza dbas privacy security on premises apache iceberg cloud wars live

Cloud Data Centers: Core Concepts - Part 3

Play Episode Listen Later Oct 21, 2025 15:09

Have you ever considered how a single server can support countless applications and workloads at once? In this episode, hosts Lois Houston and Nikita Abraham, together with Principal OCI Instructor Orlando Gentil, explore the sophisticated technologies that make this possible in modern cloud data centers. They discuss the roles of hypervisors, virtual machines, and containers, explaining how these innovations enable efficient resource sharing, robust security, and greater flexibility for organizations. 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, David Wright, 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! 00:25 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! For the last two weeks, we've been talking about different aspects of cloud data centers. In this episode, Orlando Gentil, Principal OCI Instructor at Oracle University, joins us once again to discuss how virtualization, through hypervisors, virtual machines, and containers, has transformed data centers. 00:58 Lois: That's right, Niki. We'll begin with a quick look at the history of virtualization and why it became so widely adopted. Orlando, what can you tell us about that? Orlando: To truly grasp the power of virtualization, it's helpful to understand its journey from its humble beginnings with mainframes to its pivotal role in today's cloud computing landscape. It might surprise you, but virtualization isn't a new concept. Its roots go back to the 1960s with mainframes. In those early days, the primary goal was to isolate workloads on a single powerful mainframe, allowing different applications to run without interfering with each other. As we moved into the 1990s, the challenge shifted to underutilized physical servers. Organizations often had numerous dedicated servers, each running a single application, leading to significant waste of computing resources. This led to the emergence of virtualization as we know it today, primarily from the 1990s to the 2000s. The core idea here was to run multiple isolated operating systems on a single physical server. This innovation dramatically improved the resource utilization and laid the technical foundation for cloud computing, enabling the scalable and flexible environments we rely on today. 02:26 Nikita: Interesting. So, from an economic standpoint, what pushed traditional data centers to change and opened the door to virtualization? Orlando: In the past, running applications often meant running them on dedicated physical servers. This led to a few significant challenges. First, more hardware purchases. Every new application, every new project often required its own dedicated server. This meant constantly buying new physical hardware, which quickly escalated capital expenditure. Secondly, and hand-in-hand with more servers came higher power and cooling costs. Each physical server consumed power and generated heat, necessitating significant investment in electricity and cooling infrastructure. The more servers, the higher these operational expenses became. And finally, a major problem was unused capacity. Despite investing heavily in these physical servers, it was common for them to run well below their full capacity. Applications typically didn't need 100% of server's resources all the time. This meant we were wasting valuable compute power, memory, and storage, effectively wasting resources and diminishing the return of investment from those expensive hardware purchases. These economic pressures became a powerful incentive to find more efficient ways to utilize data center resources, setting the stage for technologies like virtualization. 04:05 Lois: I guess we can assume virtualization emerged as a financial game-changer. So, what kind of economic efficiencies did virtualization bring to the table? Orlando: From a CapEx or capital expenditure perspective, companies spent less on servers and data center expansion. From an OpEx or operational expenditure perspective, fewer machines meant lower electricity, cooling, and maintenance costs. It also sped up provisioning. Spinning a new VM took minutes, not days or weeks. That improved agility and reduced the operational workload on IT teams. It also created a more scalable, cost-efficient foundation which made virtualization not just a technical improvement, but a financial turning point for data centers. This economic efficiency is exactly what cloud providers like Oracle Cloud Infrastructure are built on, using virtualization to deliver scalable pay as you go infrastructure. 05:09 Nikita: Ok, Orlando. Let's get into the core components of virtualization. To start, what exactly is a hypervisor? Orlando: A hypervisor is a piece of software, firmware, or hardware that creates and runs virtual machines, also known as VMs. Its core function is to allow multiple virtual machines to run concurrently on a single physical host server. It acts as virtualization layer, abstracting the physical hardware resources like CPU, memory, and storage, and allocating them to each virtual machine as needed, ensuring they can operate independently and securely. 05:49 Lois: And are there types of hypervisors? Orlando: There are two primary types of hypervisors. The type 1 hypervisors, often called bare metal hypervisors, run directly on the host server's hardware. This means they interact directly with the physical resources offering high performance and security. Examples include VMware ESXi, Oracle VM Server, and KVM on Linux. They are commonly used in enterprise data centers and cloud environments. In contrast, type 2 hypervisors, also known as hosted hypervisors, run on top of an existing operating system like Windows or macOS. They act as an application within that operating system. Popular examples include VirtualBox, VMware Workstation, and Parallels. These are typically used for personal computing or development purposes, where you might run multiple operating systems on your laptop or desktop. 06:55 Nikita: We've spoken about the foundation provided by hypervisors. So, can we now talk about the virtual entities they manage: virtual machines? What exactly is a virtual machine and what are its fundamental characteristics? Orlando: A virtual machine is essentially a software-based virtual computer system that runs on a physical host computer. The magic happens with the hypervisor. The hypervisor's job is to create and manage these virtual environments, abstracting the physical hardware so that multiple VMs can share the same underlying resources without interfering with each other. Each VM operates like a completely independent computer with its own operating system and applications. 07:40 Lois: What are the benefits of this? Orlando: Each VM is isolated from the others. If one VM crashes or encounters an issue, it doesn't affect the other VMs running on the same physical host. This greatly enhances stability and security. A powerful feature is the ability to run different operating systems side-by-side on the very same physical host. You could have a Windows VM, a Linux VM, and even other specialized OS, all operating simultaneously. Consolidate workloads directly addresses the unused capacity problem. Instead of one application per physical server, you can now run multiple workloads, each in its own VM on a single powerful physical server. This dramatically improves hardware utilization, reducing the need of constant new hardware purchases and lowering power and cooling costs. And by consolidating workloads, virtualization makes it possible for cloud providers to dynamically create and manage vast pools of computing resources. This allows users to quickly provision and scale virtual servers on demand, tapping into these shared pools of CPU, memory, and storage as needed, rather than being tied to a single physical machine. 09:10 Oracle University's Race to Certification 2025 is your ticket to free training and certification in today's hottest technology. Whether you're starting with Artificial Intelligence, Oracle Cloud Infrastructure, Multicloud, or Oracle Data Platform, this challenge covers it all! Learn more about your chance to win prizes and see your name on the Leaderboard by visiting education.oracle.com/race-to-certification-2025. That's education.oracle.com/race-to-certification-2025. 09:54 Nikita: Welcome back! Orlando, let's move on to containers. Many see them as a lighter, more agile way to build and run applications. What's your take? Orlando: A container packages an application in all its dependencies, like libraries and other binaries, into a single, lightweight executable unit. Unlike a VM, a container shares the host operating system's kernel, running on top of the container runtime process. This architectural difference provides several key advantages. Containers are incredibly portable. They can be taken virtually anywhere, from a developer's laptop to a cloud environment, and run consistently, eliminating it works on my machine issues. Because containers share the host OS kernel, they don't need to bundle a full operating system themselves. This results in significantly smaller footprints and less administration overhead compared to VMs. They are faster to start. Without the need to boot a full operating system, containers can start up in seconds, or even milliseconds, providing rapid deployment and scaling capabilities. 11:12 Nikita: Ok. Throughout our conversation, you've spoken about the various advantages of virtualization but let's consolidate them now. Orlando: From a security standpoint, virtualization offers several crucial benefits. Each VM operates in its own isolated sandbox. This means if one VM experiences a security breach, the impact is generally contained to that single virtual machine, significantly limiting the spread of potential threats across your infrastructure. Containers also provide some isolation. Virtualization allows for rapid recovery. This is invaluable for disaster recovery or undoing changes after a security incident. You can implement separate firewalls, access rules, and network configuration for each VM. This granular control reduces the overall exposure and attack surface across your virtualized environments, making it harder for malicious actors to move laterally. Beyond security, virtualization also brings significant advantages in terms of operational and agility benefits for IT management. Virtualization dramatically improves operational efficiency and agility. Things are faster. With virtualization, you can provision new servers or containers in minutes rather than days or weeks. This speed allows for quicker deployment of applications and services. It becomes much simpler to deploy consistent environment using templates and preconfigured VM images or containers. This reduces errors and ensures uniformity across your infrastructure. It's more scalable. Virtualization makes your infrastructure far more scalable. You can reshape VMs and containers to meet changing demands, ensuring your resources align precisely with your needs. These operational benefits directly contribute to the power of cloud computing, especially when we consider virtualization's role in enabling cloud and scalability. Virtualization is the very backbone of modern cloud computing, fundamentally enabling its scalability. It allows multiple virtual machines to run on a single physical server, maximizing hardware utilization, which is essential for cloud providers. This capability is core of infrastructure as a service offerings, where users can provision virtualized compute resources on demand. Virtualization makes services globally scalable. Resources can be easily deployed and managed across different geographic regions to meet worldwide demand. Finally, it provides elasticity, meaning resources can be automatically scaled up or down in response to fluctuating workloads, ensuring optimal performance and cost efficiency. 14:21 Lois: That's amazing. Thank you, Orlando, for joining us once again. Nikita: Yeah, and remember, if you want to learn more about the topics we covered today, go to mylearn.oracle.com and search for the Cloud Tech Jumpstart course. Lois: Well, that's all we have for today. Until next time, this is Lois Houston… Nikita: And Nikita Abraham, signing off! 14:40 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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TNO046: Prisma AIRS: Securing the Multi-Cloud and AI Runtime (Sponsored)

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Play Episode Listen Later Oct 17, 2025 27:22

Multi-cloud, automation, and AI are changing how modern networks operate and how firewalls and security policies are administered. In today’s sponsored episode with Palo Alto Networks, we dig into offerings such as CLARA (Cloud and AI Risk Assessment) that help ops teams gain more visibility into the structure and workflows of their multi-cloud networks. We... Read more »

TNO046: Prisma AIRS: Securing the Multi-Cloud and AI Runtime (Sponsored)

ai networking switching cisco securing nokia airs prisma packet runtime palo alto networks routing multicloud tcp ip it operations network operations

Play Episode Listen Later Oct 17, 2025 27:22

NAN103: The Evolution of Multi-Cloud Networking

evolution networking cloud automation infrastructure goodbye networks python cables yellow brick road multicloud

Play Episode Listen Later Oct 15, 2025 47:47

We’re thrilled to welcome Tim McConnaughy back to the podcast. Tim is a hybrid cloud network architect, author, and co-host of the Cables to Cloud podcast. He recently wrote a 5-part blog series titled ‘Goodbye, Yellow Brick Road' that reflects on his career path, including his decision to leave a startup. We discuss the impetus... Read more »

NAN103: The Evolution of Multi-Cloud Networking

evolution networking cloud automation infrastructure goodbye networks python cables yellow brick road multicloud

Play Episode Listen Later Oct 15, 2025 47:47

Turn CCC into Real Checks: Multi-Cloud Security with Prowler + AI (OSFF NY Preview)

FINOS Open Source in Fintech Podcast

Play Episode Listen Later Oct 12, 2025 22:18

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Episode 539: The Final Demand

Software Defined Talk

Play Episode Listen Later Sep 26, 2025 56:03

This week, we cover Oracle's OpenAI deal, the RubyGems drama, and Atlassian buying DX. Plus, does anyone still use widgets? Watch the YouTube Live Recording of Episode (https://www.youtube.com/live/ptnxBcE_6FQ?si=lapKMarRCBFbeAET) 539 (https://www.youtube.com/live/ptnxBcE_6FQ?si=lapKMarRCBFbeAET) Runner-up Titles It's a two knob problem The healthy jaundice of success My homework is to go home Are you enjoying the widgets? I get you on the Ponzi Scheme Hanlon's Razor strikes again Blogging: Hardest form of social media Rundown Oracle Exclusive | Oracle, OpenAI Sign Massive $300 Billion Cloud Computing Deal (https://www.wsj.com/business/openai-oracle-sign-300-billion-computing-deal-among-biggest-in-history-ff27c8fe) Oracle and OpenAI are full of crap (https://bsky.app/profile/edzitron.com/post/3lynpe7zmas2k) OpenAI doesn't have the cash to pay Oracle $300 billion — raising it will test the very limits of private markets (https://sherwood.news/markets/openai-doesnt-have-the-cash-to-pay-oracle-usd300-billion-raising-it-will/) Nvidia stock jumps on $100 billion OpenAI investment as Huang touts 'biggest AI infrastructure project in history (https://finance.yahoo.com/news/nvidia-stock-jumps-on-100-billion-openai-investment-as-huang-touts-biggest-ai-infrastructure-project-in-history-171740509.html) Ruby Central Takes Over RubyGems (https://mjtsai.com/blog/2025/09/23/ruby-central-takes-over-rubygems/) Atlassian Atlassian acquires DX, a developer productivity platform, for $1B (https://techcrunch.com/2025/09/18/atlassian-acquires-dx-a-developer-productivity-platform-for-1b/) Atlassian acquires developer productivity startup DX for $1B (https://siliconangle.com/2025/09/18/atlassian-acquires-developer-productivity-startup-dx-1b/) The AI Shift: Static Software vs. Living AI Systems (https://cloudedjudgement.substack.com/p/clouded-judgement-91925-the-ai-shift) RSS co-creator launches new protocol for AI data licensing (https://techcrunch.com/2025/09/10/rss-co-creator-launches-new-protocol-for-ai-data-licensing/) Nvidia to Invest $5 Billion in Intel, Furthering Trump's Turnaround Plan (https://www.wsj.com/tech/ai/nvidia-intel-5-billion-investment-ad940533?mod=hp_lead_pos1) Relevant to your Interests Tesla Wants Out of the Car Business (https://www.theatlantic.com/technology/archive/2025/09/tesla-elon-musk-master-plan-robotaxi/684122/) Google is shutting down Tables, its Airtable rival | TechCrunch (https://techcrunch.com/2025/09/11/google-is-shutting-down-tables-its-airtable-rival/) Oracle's stock pump, Meta's $600B, Bronny Ellison and Warner Bros, European stereotypes (https://platformonomics.com/2025/09/platformonomics-tgif-99-september-12-2025/) Atlassian goes cloud-only, customers face integration issues (https://www.theregister.com/2025/09/09/atlassian_will_go_cloudonly_customers/) Getting a slice of the Kubernete$ management pie (https://newsletter.cote.io/p/getting-a-slice-of-the-kubernete) Cote on Multicloud (https://cote.io/2025/09/14/i-think-this-means-thing.html) ServiceNow Says Windsurf Gave Its Engineers a 10% Productivity Boost (https://bsky.app/profile/thenewstack.io/post/3lyvqw6lc6522) Most Work is Translation (https://open.substack.com/pub/aparnacd/p/most-work-is-translation?r=2d4o&utm_medium=ios) Microsoft warns users that Windows 10 is in its final days (https://go.theregister.com/feed/www.theregister.com/2025/09/16/windows_10_final_countdown/) How to use Tahoe's new Use Model shortcut to summarize articles (https://cote.io/2025/09/16/how-to-use-tahoes-new.html) Credit scores drop at fastest pace since the Great Recession | CNN Business (https://www.cnn.com/2025/09/16/economy/debt-credit-score-student-loans) Workday to buy AI firm Sana for $1.1 billion as HR software deal-making heats up (https://www.reuters.com/business/workday-buy-ai-firm-sana-11-billion-hr-software-deal-making-heats-up-2025-09-16/) Wasm 3.0 Completed - WebAssembly (https://webassembly.org/news/2025-09-17-wasm-3.0/) Exclusive: AI's ability to displace jobs is advancing quickly, Anthropic CEO says (https://www.axios.com/2025/09/17/anthropic-amodei-ai) From the facepalm community on Reddit: Meta's live AI cooking demo fails spectacularly (https://www.reddit.com/r/facepalm/s/VI8YmDY29p) Meta CTO explains the cause of its embarrassing smart glasses demo failures (https://www.engadget.com/wearables/meta-cto-explains-the-cause-of-its-embarrassing-smart-glasses-demo-failures-123011790.html) New H-1B rules sparked weekend chaos (https://www.morningbrew.com/stories/2025/09/22/new-h-1b-rules-sparked-weekend-chaos) The Man Calling Bullshit on the AI Boom (https://www.readtpa.com/p/the-man-calling-bullshit-on-the-ai?utm_campaign=post&utm_medium=web) Trump's H-1B visa fee isn't just about immigration, it's about fealty (https://www.theverge.com/report/782289/trumps-h-1b-visa-fee-isnt-about-immigration-its-about-fealty) Vivaldi takes a stand: keep browsing human | Vivaldi Browser (https://vivaldi.com/blog/keep-exploring/) Zoom Bets on Agentic AI With AI Companion 3.0 Amid Sluggish Growth (https://diginomica.com/zoom-unveils-ai-companion-30-betting-agentic-ai-drive-enterprise-growth) The Secret Service has dismantled a telecom threat near the UN. It could have disabled cell service in NYC (https://www.pbs.org/newshour/nation/the-secret-service-has-dismantled-a-telecom-threat-near-the-un-it-could-have-disabled-cell-service-in-nyc) Enterprise AI Looks Bleak, But Employee AI Looks Bright (https://www.dbreunig.com/2025/09/15/ai-adoption-at-work-play.html) Obot AI Secures $35M Seed to Build Enterprise MCP Gateway - obot (https://obot.ai/obot-ai-secures-35m-seed-to-build-enterprise-mcp-gateway/) Announcing the 2025 DORA Report | Google Cloud Blog (https://cloud.google.com/blog/products/ai-machine-learning/announcing-the-2025-dora-report/) Conferences Civo Navigate London (https://www.civo.com/navigate/london/2025), Coté speaking, September 30th. Texas Linux Fest (https://2025.texaslinuxfest.org), Austin, October 3rd to 4th. CF Day EU (https://events.linuxfoundation.org/cloud-foundry-day-europe/), Coté speaking, Frankfurt, October 7th, 2025. AI for the Rest of Us (https://aifortherestofus.live/london-2025), Coté speaking, October 15th-16th, London. Use code SDT20 for 20% off. Wiz Wizdom Conferences (https://www.wiz.io/wizdom), NYC November 3-5, London November 17-19 SREDay Amsterdam (https://sreday.com/2025-amsterdam-q4/), Coté speaking, November 7th. SDT News & Community Join our Slack community (https://softwaredefinedtalk.slack.com/join/shared_invite/zt-1hn55iv5d-UTfN7mVX1D9D5ExRt3ZJYQ#/shared-invite/email) Email the show: questions@softwaredefinedtalk.com (mailto:questions@softwaredefinedtalk.com) Free stickers: Email your address to stickers@softwaredefinedtalk.com (mailto:stickers@softwaredefinedtalk.com) Follow us on social media: Twitter (https://twitter.com/softwaredeftalk), Threads (https://www.threads.net/@softwaredefinedtalk), Mastodon (https://hachyderm.io/@softwaredefinedtalk), LinkedIn (https://www.linkedin.com/company/software-defined-talk/), BlueSky (https://bsky.app/profile/softwaredefinedtalk.com) Watch us on: Twitch (https://www.twitch.tv/sdtpodcast), YouTube (https://www.youtube.com/channel/UCi3OJPV6h9tp-hbsGBLGsDQ/featured), Instagram (https://www.instagram.com/softwaredefinedtalk/), TikTok (https://www.tiktok.com/@softwaredefinedtalk) Book offer: Use code SDT for $20 off "Digital WTF" by Coté (https://leanpub.com/digitalwtf/c/sdt) Sponsor the show (https://www.softwaredefinedtalk.com/ads): ads@softwaredefinedtalk.com (mailto:ads@softwaredefinedtalk.com) Recommendations Brandon: Task (https://www.rottentomatoes.com/tv/task) Matt: OpenCore Legacy Patcher (https://dortania.github.io/OpenCore-Legacy-Patcher/) Photo Credits Header (https://unsplash.com/photos/black-ipad-on-white-table-Sw-JgeAosME)

Gary Miller on Aligning Customer and Partner Success in the AI Era | Cloud Wars Live

Irish Tech News Audio Articles

Play Episode Listen Later Sep 17, 2025 18:53

Gary Miller, Executive Vice President and Customer Success Officer, Oracle, talks to Bob Evans about how Oracle is helping customers navigate their AI journeys — whether they're just starting out or scaling enterprise-wide adoption. He shares how Oracle is embedding AI across its entire technology stack, aligning partner and customer success strategies, and empowering organizations through tools like Cloud Success Navigator, Innovation Studios, and democratized AI training to deliver real, measurable business value.AI-Powered Customer WinsThe Big Themes:Embedding AI Across the Entire Stack: Oracle is not just adding AI as a feature — it's fundamentally integrating AI into its entire technology stack. Gary Miller notes that many customers are surprised to discover that large language models are being trained and deployed on OCI, and that hundreds of AI capabilities are embedded directly into Fusion Applications and Oracle Database. Once customers understand this depth of integration, they quickly shift from curiosity to action, asking for guidance on how to adopt AI now, what use cases to prioritize, and how to define success.Cloud Success Navigator Is Central to AI Adoption Strategy: The Oracle Cloud Success Navigator has emerged as a pivotal tool for AI and cloud adoption. What started as a promise in a previous conversation is now a robust, free digital platform that helps customers and partners create innovation roadmaps, prioritize features, and accelerate time to value. With over 6,000 customers and 235 partners using the platform since March, the tool enables organizations to track over 11,000 adopted features — including 450 AI-specific ones.AI World 2025 Will Spotlight Real Customer Outcomes: At the upcoming AI World 2025 event, Oracle plans to go beyond product announcements to highlight customer success stories. Miller will host a keynote titled “Bold Outcomes,” featuring innovative customers and partners sharing their journeys. Oracle is also gamifying the learning experience with “AI Industry Adventure,” a theme-park-style game in Customer Success Central. Attendees will solve real-world industry challenges using Oracle Cloud AI solutions, making learning both interactive and fun.The Big Quote: “Customers are often unaware of how Oracle has embedded AI capabilities across the whole stack. Once they understand that, then they ask us for expert guidance on how best to achieve their transformation goals using Oracle AI solutions. I had one CEO, he said, after he saw this, he said, 'Well, don't let us fumble around in the dark looking for value. You know, where it is, point us there.' And so they asked, how can I start adopting AI in my current environment? . . . How do I define AI, success metrics, and realize AI value? That's the key thing."More from Gary Miller and Oracle:Connect with Gary Miller on LinkedIn or learn more about Oracle and AI. Visit Cloud Wars for more.

ceo ai success partner oracle aligning attendees customer success business value multicloud bob evans ai training oci oracle cloud gary miller oracle database cloud wars live

The Game Changing Potential of GenAI and Innovative Data Storage

Play Episode Listen Later Sep 15, 2025 6:26

Artificial intelligence (AI) is not long just a buzzword, but a pivotal force driving unprecedented business transformation and growth. The technology is fundamentally reshaping how businesses in Ireland operate, innovate, and compete. According to the Dell Innovation Catalyst Study, 76% of organisations based in Ireland are already considering AI and GenAI a key part of their business strategy, with 84% reporting substantial ROI and productivity gains from adopting these technologies. Moreover, 66% of Irish organisations are at early to mid-stage in their AI and GenAI adoption journey, while 90% see strong opportunities to leverage Agentic AI within their business operations. However, there are complexities involved with fully harnessing the power of GenAI. To build and train GenAI models, organisations need vast amounts of information. In turn, these same models also generate vast quantities of data to go back into the business. So, the question each business leader must ask before embracing AI and GenAI is: Are our storage solutions up to the task? The solution is scalable, secure, and economically sound data architecture that will set apart the organisations simply running in the AI race, and those leading it. Storage solutions for the GenAI age For GenAI to be successfully deployed, organisations must rethink, rearchitect and optimise their storage to effectively manage GenAI's hefty data management requirements. By doing so, organisations will avoid a potential slowdown in processes due to inadequate or improperly designed storage. The reality is that traditional storage systems are already struggling to keep pace with the explosion of data, and as GenAI systems advance and tackle new, more complex tasks the requirements will only increase. In other words, storage platforms must be aligned with the more complex realities of unstructured data, also known as qualitative data, and the emerging needs of GenAI. In fact, unstructured data accounts for over 90% of the data created each year - largely due to a rise in human-generated data, meaning the sphere is made up of cluttered and muddled columns of analysis. Enterprises need new ways to cost-effectively store data of this scale and complexity, while still providing easy and quick access to it and protecting it against cyber criminals. Unstructured data specifically is of interest to hackers due to its value and sheer volume. Organisations are seeking to enhance how they manage data - whether it's moving, accessing, scaling, or safeguarding it. In the pursuit of rapid improvement, many have adopted solutions that store data across several public cloud platforms. While these public cloud environments can deliver immediate benefits, such as increased flexibility and availability, they often introduce longer-term complications. Over time, organisations may face rising costs associated with moving data into and out of different clouds, heightened security risks, and challenges when attempting to optimise their data across these disparate environments. For generative AI to reach its full potential, it requires straightforward, reliable access to quality data; unfortunately, strategies that prioritise public cloud-only adoption above all else frequently struggle to meet these requirements. Organisations should instead look to adopt a multicloud by design approach. This will help them unlock the full potential of multicloud in the short and long term, without being constrained by siloed ecosystems of proprietary tools and services. Multicloud by design brings management consistency to storing, protecting and securing data in multicloud environments. Investing in new storage technologies Businesses need new, novel approaches that cater to GenAI's specific requirements and vast, diverse data sets. Some of these cutting-edge technologies include distributed storage, data compression and data indexing. Distributed storage enhances the scalability and reliability of GenAI systems by...

ai ireland investing irish roi artificial innovative storage game changing enterprises organisations genai distributed unstructured multicloud data storage

Understanding Event-Driven Architecture in a Multicloud Environment

The InfoQ Podcast

Play Episode Listen Later Jul 21, 2025 36:38

Teena Idnani, senior solutions architect at Microsoft, shares her experience on how and when to use event-driven architectures to improve the experience of your customers. She touches on when to use and not use this approach, as well as how to design your system, implement observability, and when to consider using more than one cloud vendor. Read a transcript of this interview: https://bit.ly/4n1gV3U Subscribe to the Software Architects' Newsletter for your monthly guide to the essential news and experience from industry peers on emerging patterns and technologies: https://www.infoq.com/software-architects-newsletter Upcoming Events: InfoQ Dev Summit Munich (October 15-16, 2025) Essential insights on critical software development priorities. https://devsummit.infoq.com/conference/munich2025 QCon San Francisco 2025 (November 17-21, 2025) Get practical inspiration and best practices on emerging software trends directly from senior software developers at early adopter companies. https://qconsf.com/ QCon AI New York 2025 (December 16-17, 2025) https://ai.qconferences.com/ The InfoQ Podcasts: Weekly inspiration to drive innovation and build great teams from senior software leaders. Listen to all our podcasts and read interview transcripts: - The InfoQ Podcast https://www.infoq.com/podcasts/ - Engineering Culture Podcast by InfoQ https://www.infoq.com/podcasts/#engineering_culture - Generally AI: https://www.infoq.com/generally-ai-podcast/ Follow InfoQ: - Mastodon: https://techhub.social/@infoq - X: https://x.com/InfoQ?from=@ - LinkedIn: www.linkedin.com/company/infoq - Facebook: bit.ly/2jmlyG8 - Instagram: @infoqdotcom - Youtube: www.youtube.com/infoq - Bluesky: https://bsky.app/profile/infoq.com Write for InfoQ: Learn and share the changes and innovations in professional software development. - Join a community of experts. - Increase your visibility. - Grow your career. https://www.infoq.com/write-for-infoq

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Microsoft Cuts 9,000 Jobs, Boosts AI Partner Incentives; OpenAI Expands Multi-Cloud E-Commerce Tools

Business of Tech

Play Episode Listen Later Jul 17, 2025 15:36

Microsoft is undergoing a significant restructuring, placing artificial intelligence (AI) at the forefront of its strategy. The company has announced the layoff of approximately 9,000 employees, primarily targeting generalist sales roles, as it shifts towards a model that prioritizes technical expertise over traditional relationship-building in sales. This move is part of a broader initiative to enhance its AI offerings, particularly through its Copilot program, which has seen a 50% increase in funding and a 70% rise in partner incentives. Microsoft aims to eliminate product silos and align its go-to-market strategy with customer priorities, emphasizing the importance of AI integration in sales and service delivery.OpenAI is also making waves by diversifying its cloud infrastructure, now utilizing Google Cloud alongside Microsoft, CoreWeave, and Oracle. This strategic shift comes as OpenAI prepares to introduce new features in its ChatGPT platform, including a checkout function for e-commerce, which will allow users to make purchases directly through the chatbot. The company is positioning itself to compete more directly with Microsoft's Office suite by enhancing productivity tools and integrating e-commerce capabilities, signaling a move from being a model provider to an end-user platform.Amazon Web Services (AWS) has launched a new platform called Amazon Bedrock Agent Core, designed to facilitate collaboration among AI agents across organizations. This platform aims to address concerns about job security in the face of AI advancements, as it allows for the construction of interconnected AI agents capable of performing various tasks. Unlike competitors, AWS's offering is designed to be flexible and support multiple AI frameworks, positioning it as a neutral infrastructure provider in the AI landscape.In a rapid-fire segment, several companies have announced new partnerships and product updates. iRACA has teamed up with TD Cynics to extend its secure access services, while cgen.ai has launched a platform to streamline AI workloads. Nutrien has improved its Document AI software, and Cohesity has integrated its data management platform with Microsoft 365 Copilot, enabling users to leverage backup data for informed decision-making. These developments highlight a trend towards enabling service providers to evolve from mere technical support to delivering measurable business outcomes. Four things to know today 00:00 Microsoft Shakes Up Partner Strategy with AI Funding Boost and Workforce Realignment05:42 OpenAI's Cloud Diversification and Agent Ambitions Could Upend SMB Workflows08:35 AWS Launches AgentCore to Build Networks of Interconnected AI Agents11:15 Aryaka, C-Gen.AI, Nutrient, Cohesity Roll Out Innovations Targeting Business Value This is the Business of Tech. Supported by: https://timezest.com/mspradio/ All our Sponsors: https://businessof.tech/sponsors/ Do you want the show on your podcast app or the written versions of the stories? Subscribe to the Business of Tech: https://www.businessof.tech/subscribe/Looking for a link from the stories? The entire script of the show, with links to articles, are posted in each story on https://www.businessof.tech/ Support the show on Patreon: https://patreon.com/mspradio/ Want to be a guest on Business of Tech: Daily 10-Minute IT Services Insights? Send Dave Sobel a message on PodMatch, here: https://www.podmatch.com/hostdetailpreview/businessoftech Want our stuff? Cool Merch? Wear “Why Do We Care?” - Visit https://mspradio.myspreadshop.com Follow us on:LinkedIn: https://www.linkedin.com/company/28908079/YouTube: https://youtube.com/mspradio/Facebook: https://www.facebook.com/mspradionews/Instagram: https://www.instagram.com/mspradio/TikTok: https://www.tiktok.com/@businessoftechBluesky: https://bsky.app/profile/businessof.tech

Migrating from “Tick Box" Compliance to Automating GRC in a Multi-Cloud World

Cloud Security Podcast

Play Episode Listen Later Jun 17, 2025 28:48

In many organizations, security exception management is a manual process, often treated as a simple compliance checkbox. While necessary, this approach can lead to unmonitored configurations that drift from their approved state, creating inconsistencies in an organization's security posture over time. How can teams evolve this process to support modern development without compromising on security?In this episode, Ashish Rajan sits down with security expert Santosh Bompally, Cloud Security Engineering Team Lead at Humana to discuss a practical framework for automating exception management. Drawing on his journey from a young tech enthusiast to a security leader at Humana, Santosh explains how to transform this process from a manual task into a scalable, continuously monitored system that enables developer velocity.Learn how to build a robust program from the ground up, starting with establishing a security baseline and leveraging policy-as-code, certified components, and continuous monitoring to create a consistent and secure cloud environment.Guest Socials -⁠⁠ ⁠Santosh's LinkedinPodcast Twitter - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@CloudSecPod⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠If you want to watch videos of this LIVE STREAMED episode and past episodes - Check out our other Cloud Security Social Channels:-⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Cloud Security Podcast- Youtube⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠- ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Cloud Security Newsletter ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠- ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Cloud Security BootCamp⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠If you are interested in AI Cybersecurity, you can check out our sister podcast -⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ AI Cybersecurity PodcastQuestions asked:(00:00) Introduction(00:39) From Young Hacker to Cybersecurity Pro(02:14) The "Tick Box" Problem with Exception Management(03:17) Exposing Your Threat Landscape: The Risk of Not Automating(05:43) Where Do You Even Start? The First Steps(08:26) VMs vs Containers vs Serverless: Is It Different?(11:15) Building Your Program: Start with a Security Baseline(14:44) What Standard to Follow? (CIS, PCI, HIPAA)(17:20) The Lifecycle of a Control: When Should You Retire One?(19:42) The 3 Levels of Security Automation Maturity(23:25) Do You Need to Be a Coder for GRC Automation?(26:16) Fun Questions: Home Automation, Family & Food

PP064: How Aviatrix Tackles Multi-Cloud Security Challenges (Sponsored)

ai security networking engineers cybersecurity compliance tackles cloud security multicloud security challenges aviatrix

Play Episode Listen Later May 27, 2025 42:51

Aviatrix is a cloud network security company that helps you secure connectivity to and among public and private clouds. On today’s Packet Protector, sponsored by Aviatrix, we get details on how Aviatrix works, and dive into a new feature called the Secure Network Supervisor Agent. This tool uses AI to help you monitor and troubleshoot... Read more »

PP064: How Aviatrix Tackles Multi-Cloud Security Challenges (Sponsored)