Podcasts about Kubernetes

Aspire has been around for almost two years. How do you use it effectively? Carl and Richard talk to Chris Klug about his experience with .NET Aspire. Chris discusses thinking cloud natively, whether you are going to the cloud or not - it's not just a place, but also an architecture. The conversation digs into the role of containers and Kubernetes, deployment strategies, telemetry, security, testing, and more. You can use as much or as little Aspire as you wish!

Michael Reid went from studying aerospace engineering to becoming CEO at Megaport, a global network-as-a-service platform. How did he get there, and what can we learn from his journey? We walk his career path, including a pivotal role scaling ThousandEyes from 74 million to over 2.4x ARR post-acquisition, and how those experiences shaped his approach to... Read more »

Animesh Koratana - CEO and Founder of PlayerZero discusses how agentic AI is transforming software quality assurance through predictive code simulation, and how teams can shift from reactive debugging to proactive problem prevention in the era of AI-generated code.SHOW: 967SHOW TRANSCRIPT: The Cloudcast #967 TranscriptSHOW VIDEO: https://youtube.com/@TheCloudcastNET CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotwNEW TO CLOUD? CHECK OUT OUR OTHER PODCAST: "CLOUDCAST BASICS"SPONSORS:[Interconnected] Interconnected is a new series from Equinix diving into the infrastructure that keeps our digital world running. With expert guests and real-world insights, we explore the systems driving AI, automation, quantum, and more. Just search “Interconnected by Equinix”.[TestKube] TestKube is Kubernetes-native testing platform, orchestrating all your test tools, environments, and pipelines into scalable workflows empowering Continuous Testing. Check it out at TestKube.io/cloudcastSHOW NOTES:PlayerZero websiteTopic 1 - Welcome to the show Animesh. Tell us about your background and your involvement in.Topic 2 - Let's start with the core problem you're solving. What is "predictive software quality" and why is this becoming critical now, especially in the era of AI-generated code?Topic 3 - How does agentic code simulation work, and what makes it different from traditional testing approaches?Topic 4 - This feels like it democratizes software quality beyond just engineering teams. How does PlayerZero work across different roles - developers, QA, product managers, and support teams?Topic 5 - Integration and workflow - how does PlayerZero fit into existing CI/CD pipelines and development workflows? What does the implementation look likeTopic 6 - Let's talk about scale and complexity. How does PlayerZero handle large, distributed systems with microservices, databases, and complex architecturesTopic 7 - If someone out there is interested and wants to get started, what is the best place to started?FEEDBACK?Email: show at the cloudcast dot netBluesky: @cloudcastpod.bsky.socialTwitter/X: @cloudcastpodInstagram: @cloudcastpodTikTok: @cloudcastpod

AWS Morning Brief for the week of October 13th, 2025, with Corey Quinn. Links:Introducing AWS Pricing Capabilities in Amazon Q Developer: Ask Questions, Get Instant Cost InsightsAmazon Location Service Updates for Vietnam's New Administrative BoundariesPart 6: Effective sunset of the legacy data platform in BBVA: the migration methodology Amazon Q Developer and Kiro – Prompt Injection Issues in Kiro and Q IDE plugins Amazon DynamoDB now supports Internet Protocol version 6 (IPv6)AWS ranks #1 in Forecasting and Estimation Use Case in Gartner Critical Capabilities for Cloud Financial Management Tools report Introducing Amazon Quick Suite: your agentic AI-powered workspaceUnlock real-time advertising insights with Amazon Marketing Stream and AWSIMDS impersonationReduce Docker image build time on AWS CodeBuild using Amazon ECR as a remote cacheUnderstanding Amazon Chime SDK costs in AWS Cost ExplorerAWS Introduces self-service invoice correction featureBridging data silos: cross-bounded context querying with Vanguard's Operational Read-only Data Store (ORDS) using Amazon Redshift Beyond Bootstrap: Bootstrapless CDK Deployments at GoDaddyAmazon EKS and Amazon EKS Distro now supports Kubernetes version 1.34Amazon SageMaker notebook instance now supports Amazon Linux 2023Your Ultimate Guide to Cloud Financial Management sessions at re:Invent 2025: Know Before You Go Automatic quota management is now generally available for AWS Service Quotas CVE-2025-11462 AWS ClientVPN macOS Client Local Privilege EscalationCVE-2025-11573 - Denial of Service issue in Amazon.IonDotnet

Three years since the launch of ChatGPT, what does the landscape of Enterprise AI look like today? What's working, what's struggling and what's still unknown?SHOW: 966SHOW TRANSCRIPT: The Cloudcast #966 TranscriptSHOW VIDEO: https://youtube.com/@TheCloudcastNET CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotwCHECK OUT OUR NEW PODCAST: "CLOUDCAST BASICS"SHOW SPONSORS:[TestKube] TestKube is Kubernetes-native testing platform, orchestrating all your test tools, environments, and pipelines into scalable workflows empowering Continuous Testing. Check it out at TestKube.io/cloudcast[Interconnected] Interconnected is a new series from Equinix diving into the infrastructure that keeps our digital world running. With expert guests and real-world insights, we explore the systems driving AI, automation, quantum, and more. Just search “Interconnected by Equinix”.SHOW NOTES:HOW ARE ENTERPRISES USING AI IN LATE 2025?5% have a clear vision of how to apply Predictive and Generative AI to a set of use-cases that drive differentiation, productivity improvements and cost reductions. They are keeping the details close to the vest.10% have allocated about 3-5% of their IT budgets to AI, typically from a C-level mandate, and have given it to Microsoft or Google. They have checked “the business is AI-enabled” and signaled to the market that they have fully embraced AI. The market is rewarding these companies at higher multiples. 85% aren't sure what use-cases to focus on, have unrealistic expectations during POCs, and are focused on the “no” areas instead of their own learning curves. Enterprises don't have great visibility into AI costs, and limited baselines of what AI should cost - pay for outcomes, pay for seats, pay for tokens, or pay for GPUs?Enterprises don't have easy access to GPUs outside of via SaaS services - makes it challenging for Private or Sovereign AI demand to be metRight now, there is no simple way for Enterprises to build AI AgentsRight now, there is no simple way for Enterprises to share AI experience / learning curve - AI is a very individualized experienceFEEDBACK?Email: show at the cloudcast dot netTwitter/X: @cloudcastpodBlueSky: @cloudcastpod.bsky.socialInstagram: @cloudcastpodTikTok: @cloudcastpod

How do you perform incident response on a Kubernetes cluster when you're not even on the same network? In this episode, Damien Burks, Senior Security engineer breaks down the immense challenges of container security and why most commercial tools are failing at automated response.While many CNAPPs provide runtime detection, they lack a "sophisticated approach to automating incident response or containment" in complex environments like private EKS . He shares his hands-on experience building a platform that uses a dynamically deployed Lambda function to achieve containment of a compromised EKS node in just 10 minutes, a process that would otherwise take hours of manual work and approvals .This is a guide for any DevSecOps or cloud security professional tasked with securing containerized workloads. The conversation also covers a layered prevention strategy, the evolving role of the cloud security engineer, and career advice for those looking to enter the field.Guest Socials -⁠ ⁠⁠⁠⁠Damien'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 Security PodcastQuestions asked:(00:00) Introduction(02:15) Who is Damien Burks?(03:20) The State of Cloud Incident Response in 2025(05:15) Why There is No Sophisticated, Automated IR for Kubernetes(06:20) A Deep Dive into Kubernetes Incident Response(07:30) The Unique Challenge of a Private EKS Cluster(12:15) A Layered Approach to Prevention in a DevSecOps Culture(17:00) How to Automate Containment in a Private EKS Cluster(17:40) From Hours to 10 Minutes: The Impact of Automation(22:00) The Evolving & Complex Role of the Cloud Security Engineer(25:40) Do We Have Too Much Visibility or Not Enough?(29:00) Career Path: The Value of Learning to Code for DevSecOps(35:00) Damien's Hot Take: "Multi-Cloud Just Means Chaos"(44:20) Career Advice for Traditional IR Professionals Moving to Cloud(47:50) Final Questions: Video Games, Life's Journey, and GumboResources spoke about during the interviewDamien's Website

professorjrod@gmail.comCloud perimeters are fading, identities are multiplying, and threats move faster than patches. We dive into the real mechanics of securing a hybrid world—mapping cloud deployment choices, clarifying shared responsibility across SaaS, PaaS, and IaaS, and showing how Zero Trust reshapes defenses around identity, posture, and context. It's a practical tour from first principles to field-tested patterns, grounded by case studies like Capital One and SolarWinds and anchored in frameworks such as NIST SP 800-207.We start by decoding public, private, hosted private, community, and hybrid models, then connect those choices to risk: multi-tenant isolation, data flows between zones, and the observability challenges of decentralization. From there, we move into reliability engineering—high availability, geo-redundancy, disaster recovery—and the role Kubernetes plays in scaling securely, with a frank look at container pitfalls and how least privilege and image scanning reduce blast radius. Automation takes center stage with infrastructure as code, autoscaling, and software-defined networking, plus how SASE brings secure access to a remote-first workforce without bolting on more complexity.Embedded systems and IoT get a hard look: scarce memory, weak encryption, default credentials, and unpatchable firmware that turns convenience into risk. We offer a simple playbook—segment aggressively, enforce egress controls, rotate credentials, and plan device lifecycles—to stop small sensors from causing big outages. Zero Trust ties it all together: never trust, always verify; microsegment to prevent lateral movement; and evaluate every access request through identity, device health, and real-time signals. Along the way, we weave in Security+ exam-style questions so you can test your knowledge and lock in the fundamentals.If this helped you see your cloud and Zero Trust roadmap more clearly, follow the show, share it with a teammate, and leave a quick review. Got certified recently or put these controls into practice? Email professorjrod@gmail.com—we'd love to shout you out on a future episode.Support the showIf you want to help me with my research please e-mail me.Professorjrod@gmail.comIf you want to join my question/answer zoom class e-mail me at Professorjrod@gmail.comArt By Sarah/DesmondMusic by Joakim KarudLittle chacha ProductionsJuan Rodriguez can be reached atTikTok @ProfessorJrodProfessorJRod@gmail.com@Prof_JRodInstagram ProfessorJRod

Bret is joined by Philip Andrews and Dan Muret of Cast AI to discuss pod live migration between nodes in a Kubernetes cluster.

Alan Lefort, CEO and Co-Founder, StrongestLayer, discusses how LLM-powered reasoning is transforming phishing security from reactive pattern-matching to predictive threat detection, and why traditional rule-based systems can no longer defend against sophisticated AI-generated phishing attacks.SHOW: 965SHOW TRANSCRIPT: The Cloudcast #965 TranscriptSHOW VIDEO: https://youtube.com/@TheCloudcastNET CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotwNEW TO CLOUD? CHECK OUT OUR OTHER PODCAST: "CLOUDCAST BASICS"SPONSORS:[Interconnected] Interconnected is a new series from Equinix diving into the infrastructure that keeps our digital world running. With expert guests and real-world insights, we explore the systems driving AI, automation, quantum, and more. Just search “Interconnected by Equinix”.[TestKube] TestKube is Kubernetes-native testing platform, orchestrating all your test tools, environments, and pipelines into scalable workflows empowering Continuous Testing. Check it out at TestKube.io/cloudcastSHOW NOTES:WebsiteStrongestLayer ResearchTopic 1 - Welcome to the show Alan. Tell us about your background and your involvement in Cybersecuity.Topic 2 - Let's start with the core challenge. You've said that "if only AI can defend against weaponized AI" - what specific gap in traditional email security did you identify that led to this philosophy? How are AI-powered phishing attacks fundamentally different from what we've seen before?Topic 3 - How does this attack vector demonstrate the limitations of rule-based security systems, and why can't traditional pattern matching keep up?Topic 4 - Let's break down your TRACE (Threat Reasoning and AI Correlation Engine) architecture. You've described it as "LLM-as-master" rather than "LLM-as-add-on." What does this fundamental architectural difference mean for threat detection, and how does it help?Topic 5 - You discuss "pre-campaign detection," which involves identifying potential phishing campaigns weeks before emails are sent. This sounds like moving from reactive to predictive security. How does your system correlate technical intelligence with business context to achieve this early warning capability?Topic 6 - From an implementation standpoint, how do organizations integrate LLM-powered reasoning into their existing security stacks? What's the deployment model, and how do you handle the challenge of reasoning about business context without exposing sensitive organizational data?Topic 7 - If someone out there is interested and wants to get started, what is the best place to start?FEEDBACK?Email: show at the cloudcast dot netBluesky: @cloudcastpod.bsky.socialTwitter/X: @cloudcastpodInstagram: @cloudcastpodTikTok: @cloudcastpod

Nueva vuelta de tuerca a los ataques contra la Inteligencia Artificial que cada vez es más capaz, tiene más acceso y ya es una herramienta inevitable en nuestras vidas. Notas y referencias en https://www.tierradehackers.com/episodio-138 Puedes apoyar este Podcast en Patreon y obtener beneficios exclusivos. Además, estarás ayudando a que siga publicándose muchos años más. https://www.tierradehackers.com/patreon/ ⭐️ SPONSORS ⭐️ ️‍♂️ Flare Flare es una plataforma de inteligencia de amenazas y monitoreo de la Dark Web que te ayuda a estar un paso por delante de los ciber-delincuentes. Puedes solicitar una prueba gratuita como oyente de Tierra de Hackers aquí:  https://try.flare.io/martin-vigo/ ️ Prowler Audita y mejora tu seguridad en AWS, Azure, GCP, Kubernetes y M365 con visibilidad centralizada. Solicita una prueba gratuita en el siguiente link:  https://prowler.com/?utm_source=tierra_de_hackers ️ YouTube: https://www.youtube.com/tierradehackers  Twitch: https://www.twitch.tv/tierradehackers ➡️ Twitter: https://www.twitter.com/tierradehackers ➡️ LinkedIn: https://www.linkedin.com/company/tierradehackers ➡️ Instagram: https://www.instagram.com/tierradehackers ➡️ Facebook: https://www.facebook.com/tierradehackers ➡️ TikTok: https://www.tiktok.com/@tierradehackers No olvides unirte a nuestra comunidad de Discord:  https://www.tierradehackers.com/discord

In this episode of the Ardan Labs Podcast, Bill Kennedy talks with Mike Elgan, technology editorialist, about his journey to becoming a professional writer. Mike reflects on the evolution of journalism, the digital publishing revolution of the 90s, and the role of communication in shaping society. He also shares insights from his nomadic lifestyle, the realities of freelance writing, the impact of AI on creativity, and the importance of adaptability and passion in navigating a rapidly changing technological landscape.00:00 Introduction 05:54 Growing Up in the 70s and 80s11:32 Education, Passion & Early Work31:32 Politics, Journalism & First Writing Roles45:16 Transition to Technology Journalism54:30 Digital Media Revolution01:03:01 Becoming a Freelance Writer01:05:52 Nomadic Lifestyle & Financial Realities01:24:36 AI's Impact on Work, Writing & Education01:42:56 The Future of Writing & Communication01:50:52 Cyberpunk Reality & Technology's Next Era01:55:11 Finding Passion & Success in LifeConnect with Mike: Linkedin: https://www.linkedin.com/in/mikeelganX: https://x.com/MikeElganMentioned in this Episode:Mike Elgan's Newsletter: https://machinesociety.ai/Gastronomad: https://gastronomad.netWant more from Ardan Labs? You can learn Go, Kubernetes, Docker & more through our video training, live events, or through our blog!Online Courses : https://ardanlabs.com/education/ Live Events : https://www.ardanlabs.com/live-training-events/ Blog : https://www.ardanlabs.com/blog Github : https://github.com/ardanlabs

In episode 23 of Open Source Ready, Brian Douglas and John McBride sit down with Davanum “Dims” Srinivas to discuss the health and future of the Kubernetes community. They explore how corporate changes impact open source contributions, the importance of onboarding programs, and the challenge of sustaining long-term contributors. Dims also shares insights into Kubernetes' evolving role in AI and GPU workloads. The discussion is equal parts career advice, technical insight, and open source storytelling.

As cloud matures, could the hyperscale cloud providers start looking to acquire SaaS providers to build out a bundled application portfolio? Or are the demands of AI investment too much to pursue that strategy? SHOW: 964SHOW TRANSCRIPT: The Cloudcast #964 TranscriptSHOW VIDEO: https://youtube.com/@TheCloudcastNET CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotwCHECK OUT OUR NEW PODCAST: "CLOUDCAST BASICS"SHOW SPONSORS:[TestKube] TestKube is Kubernetes-native testing platform, orchestrating all your test tools, environments, and pipelines into scalable workflows empowering Continuous Testing. Check it out at TestKube.io/cloudcast[Interconnected] Interconnected is a new series from Equinix diving into the infrastructure that keeps our digital world running. With expert guests and real-world insights, we explore the systems driving AI, automation, quantum, and more. Just search “Interconnected by Equinix”.SHOW NOTES:Clouded Judgement (Jamin Bell)100 Biggest SaaS CompaniesCOULD THE CLOUD HYPERSCALERS START LOOKING TO ACQUIRE SAAS COMPANIES?Do the hyperscalers start acting like Private Equity to acquire SaaS revenue streams?Do the hyperscalers start moving from primitive providers to bundlers?Do the hyperscalers have to make a choice between AI/CAPEX investment and SaaS investment?Do the hyperscalers figure out a way to spin-off the AI/CAPEX portions of their business for a period of time?FEEDBACK?Email: show at the cloudcast dot netTwitter/X: @cloudcastpodBlueSky: @cloudcastpod.bsky.socialInstagram: @cloudcastpodTikTok: @cloudcastpod

Thank you to the folks at Sustain (https://sustainoss.org/) for providing the hosting account for CHAOSSCast! CHAOSScast – Episode 120 In this episode of CHAOSScast, Harmony Elendu hosts a discussion with Dawn Foster and Bob Killen to discuss their extensive experience in open source and detail the motivations behind the creation of the CHAOSS Practitioner Guides. These guides aim to help practitioners navigate the overwhelming amount of data related to open source projects and understand how to improve project health and sustainability. The discussion covers strategies for communicating the business value of open source efforts to leadership, framing contributions in a way that resonates with organizational priorities, and prioritizing investments in critical projects. Press download now! [00:00:31] Dawn and Bob introduce themselves and their backgrounds. [00:02:24] Dawn explains why CHAOSS created Practitioner Guides: to help navigate the “tsunami of data” from open source metrics. The new guide is different and is focused on demonstrating organizational value. [00:04:36] Harmony asks about the inspiration for the guide. Dawn credits Bob and how the guide was built largely from his talks at KubeCon and the Linux Foundation Member Summit. [00:05:22] Bob talks about macroeconomic pressures where open source is often first cut. The guide helps orgs tell compelling stories to leadership about open source ROI. [00:07:14] Bob shares a case study: maintainers reframed contributions in leadership's language- revenue impact, bug fix turnaround, and resource efficiency and how this secured leadership support. Dawn adds that every organization values different things and provides an example. [00:11:36] Bob introduces the formula: Priority = Criticality x Health. [00:13:36] Dawn emphasizes formula helps orgs prioritize strategically critical but under-resourced projects (example: Kubernetes cluster API at VMware). Bob notes criticality differs by company and even department. [00:16:51] Harmony ask how to report open source value to leadership. Bob explains the importance of framing in leadership's language, not just raw contribution counts. Dawn warns against poor framing and explains about being careful about how you talk to leadership about your open source efforts. Value Adds (Picks) of the week: [00:20:47] Dawn's pick is discovery how easy it was to build a static site with GitHub Pages and Jekyll. [00:21:38] Bob's pick is dosu.dev. [00:22:18] Harmony's pick is exploring AI models for fraud detection and system tracking. Panelists: Harmony Elendu Guests: Dawn Foster Bob Killen Links: CHAOSS (https://chaoss.community/) CHAOSS Project X (https://twitter.com/chaossproj?lang=en) CHAOSScast Podcast (https://podcast.chaoss.community/) CHAOSS YouTube (https://www.youtube.com/@CHAOSStube/videos) podcast@chaoss.community (mailto:podcast@chaoss.community) Harmony Elendu X (https://x.com/ogaharmony) Dawn Foster X (https://twitter.com/geekygirldawn?lang=en) Bob Killen Website (https://mrbobbytabl.es/) CHAOSS Practitioner Guides (https://chaoss.community/about-chaoss-practitioner-guides/) CHAOSS Practitioner Guides (YouTube) (https://www.youtube.com/playlist?list=PL60k37cxI-HSHV4-rEsWMzExw2y2Oq79Z) CHAOSS Data Science Working Group: New Guides, Research, and More (Blog Post by Dawn Foster (https://chaoss.community/chaoss-data-science-working-group-new-guides-research-and-more/) CHAOSS Practitioner Guide: Getting Started with Sunsetting an Open Source Project (https://chaoss.community/practitioner-guide-sunset/) CHAOSS Practitioner Guide: Getting Started with Building Diverse Leadership (https://chaoss.community/practitioner-guide-diverse-leadership/) GitHub Pages documentation (https://docs.github.com/en/pages) Jekyll (https://jekyllrb.com/) Dosu (https://dosu.dev/) Special Guest: Bob Killen.

Network automation has a data problem. Traditional tools may hit limitations when managing complex infrastructure relationships. We explore how OpsMill’s InfraHub uses graph databases and temporal versioning to create what our guest calls “the knowledge graph of infrastructure” – enabling true version control at the database level while maintaining the flexibility to model anything from... Read more »

Today we talk to Antonio Ojea. Antonio is a software engineer at Google and one of the core maintainers of Kubernetes. He is one of the Tech Lead of SIG Networking and Testing and a member of the Steering Committee.   Do you have something cool to share? Some questions? Let us know: - web: kubernetespodcast.com - mail: kubernetespodcast@google.com - twitter: @kubernetespod - bluesky: @kubernetespodcast.com   News of the week GKE Autopilot Mode inside Standard clusters KCD H1 2026 Metal Kubed joined the CNCF as an incubating project Links from the interview Antonio Ojea on LinkedIn Antonio Ojea on X Virtual Networks Kubernetes Networking Kubernetes Dynamic Resource Allocation (DRA) Kubernetes Gateway API Calico Cilium Multi-Service CIDR DRANet

Brian Gracely (@bgracely) and Brandon Whichard (@bwhichard, @SoftwareDefTalk) discuss the top stories in Cloud and AI from September 2025.SHOW: 963SHOW TRANSCRIPT: The Cloudcast #963 TranscriptSHOW VIDEO: https://youtube.com/@TheCloudcastNET NEW TO CLOUD? CHECK OUT OUR OTHER PODCAST:  "CLOUDCAST BASICS"SPONSORS:[Interconnected] Interconnected is a new series from Equinix diving into the infrastructure that keeps our digital world running. With expert guests and real-world insights, we explore the systems driving AI, automation, quantum, and more. Just search “Interconnected by Equinix”.[TestKube] TestKube is Kubernetes-native testing platform, orchestrating all your test tools, environments, and pipelines into scalable workflows empowering Continuous Testing. Check it out at TestKube.io/cloudcastSHOW NOTES:Link to August 2025 News and ArticlesFEEDBACK?Email: show at the cloudcast dot netBluesky: @cloudcastpod.bsky.socialTwitter/X: @cloudcastpodInstagram: @cloudcastpodTikTok: @cloudcastpod

Send us a textThe enterprise software ecosystem continues to evolve rapidly as vendors double down on AI, automation, and data-driven orchestration across business functions. Nintex unveiled new generative AI capabilities to enhance business automation, while Circana introduced its Liquid Supply Chain solution to drive agility and responsiveness in complex networks. CloudBolt extended its optimization capabilities to Kubernetes through the acquisition of StormForge, signaling a stronger focus on cloud efficiency. Kinaxis partnered with Databricks to accelerate AI-powered supply chain orchestration and also announced a collaboration with Infor, further expanding its ecosystem reach. Rootstock's Spring '25 release reimagined the modern ERP experience for manufacturers, and Tempo launched a Strategic Portfolio Management platform to strengthen business alignment. Meanwhile, Tricentis rolled out new testing innovations in its spring update, Velixo secured Series A funding from Elephant to fuel growth, and FloQast introduced auditable AI agents to help finance teams bridge the growing talent gap—illustrating how innovation is reshaping every layer of the enterprise stack.In today's episode, we invited a panel of industry analysts for a live discussion on LinkedIn to analyze current enterprise software stories. We covered many grounds including the direction and roadmaps of each enterprise software vendors. Finally, we analyzed future trends and how they might shape the enterprise software industry.Background Soundtrack: Away From You – Mauro SommFor more information on growth strategies for SMBs using ERP and digital transformation, visit our community at wbs. rocks or elevatiq.com. To ensure that you never miss an episode of the WBS podcast, subscribe on your favorite podcasting platform. 

Between the bold predictions, VC economics, and rising usage-patterns are stories of limited ROIs, undefined use-cases and associated job losses. AI is in an awkward phase of maturity and it's not clear how it will evolve into the next phase. SHOW: 962SHOW TRANSCRIPT: The Cloudcast #962 TranscriptSHOW VIDEO: https://youtube.com/@TheCloudcastNET CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotwCHECK OUT OUR NEW PODCAST: "CLOUDCAST BASICS"SHOW SPONSORS:[TestKube] TestKube is Kubernetes-native testing platform, orchestrating all your test tools, environments, and pipelines into scalable workflows empowering Continuous Testing. Check it out at TestKube.io/cloudcast[Interconnected] Interconnected is a new series from Equinix diving into the infrastructure that keeps our digital world running. With expert guests and real-world insights, we explore the systems driving AI, automation, quantum, and more. Just search “Interconnected by Equinix”.SHOW NOTES:THE SPECTRUM OF AIThe early years of the Internet, we tried to replicate physical-based activitiesThe early years of the Internet, the whole industry/world-economy wasn't depending on “the next thing”The early years of AI, “the leaders” are talking about curing cancer and double human longevityCloud had “lift and shift”; AI has “get everyone a GenAI license”Where is the middle? Where is the rational discussion?Massive FundingMassive # of Consumer UsersFrom Ed to Sam, from Dario to Satya, from Jensen to Larry …. Big spectrums of opinionsUnprofitable (except NVIDIA, Broadcom)Near monopoly of GPUs by NVIDIAEvery couple months, the landscape seems to shift (OpenAI partners, Leading models, Questionable Enterprise ROI - lots of “we gave everyone GenAI, but we don't know how to measure it”Companies are laying off workers, or avoiding hiring because of promises of AIUnknown “killer” use-cases beyond chatbots, therapy, developer-assistants, writing, document handlingToday's mantra is “Rub some AI Agents on it”FEEDBACK?Email: show at the cloudcast dot netTwitter/X: @cloudcastpodBlueSky: @cloudcastpod.bsky.socialInstagram: @cloudcastpodTikTok: @cloudcastpod

At PyData Berlin, community members and industry voices highlighted how AI and data tooling are evolving across knowledge graphs, MLOps, small-model fine-tuning, explainability, and developer advocacy.- Igor Kvachenok (Leuphana University / ProKube) combined knowledge graphs with LLMs for structured data extraction in the polymer industry, and noted how MLOps is shifting toward LLM-focused workflows.- Selim Nowicki (Distill Labs) introduced a platform that uses knowledge distillation to fine-tune smaller models efficiently, making model specialization faster and more accessible.- Gülsah Durmaz (Architect & Developer) shared her transition from architecture to coding, creating Python tools for design automation and volunteering with PyData through PyLadies.- Yashasvi Misra (Pure Storage) spoke on explainable AI, stressing accountability and compliance, and shared her perspective as both a data engineer and active Python community organizer.- Mehdi Ouazza (MotherDuck) reflected on developer advocacy through video, workshops, and branding, showing how creative communication boosts adoption of open-source tools like DuckDB.Igor KvachenokMaster's student in Data Science at Leuphana University of Lüneburg, writing a thesis on LLM-enhanced data extraction for the polymer industry. Builds RDF knowledge graphs from semi-structured documents and works at ProKube on MLOps platforms powered by Kubeflow and Kubernetes.Connect: https://www.linkedin.com/in/igor-kvachenok/Selim NowickiFounder of Distill Labs, a startup making small-model fine-tuning simple and fast with knowledge distillation. Previously led data teams at Berlin startups like Delivery Hero, Trade Republic, and Tier Mobility. Sees parallels between today's ML tooling and dbt's impact on analytics.Connect: https://www.linkedin.com/in/selim-nowicki/Gülsah DurmazArchitect turned developer, creating Python-based tools for architectural design automation with Rhino and Grasshopper. Active in PyLadies and a volunteer at PyData Berlin, she values the community for networking and learning, and aims to bring ML into architecture workflows.Connect: https://www.linkedin.com/in/gulsah-durmaz/Yashasvi (Yashi) MisraData Engineer at Pure Storage, community organizer with PyLadies India, PyCon India, and Women Techmakers. Advocates for inclusive spaces in tech and speaks on explainable AI, bridging her day-to-day in data engineering with her passion for ethical ML.Connect: https://www.linkedin.com/in/misrayashasvi/Mehdi OuazzaDeveloper Advocate at MotherDuck, formerly a data engineer, now focused on building community and education around DuckDB. Runs popular YouTube channels ("mehdio DataTV" and "MotherDuck") and delivered a hands-on workshop at PyData Berlin. Blends technical clarity with creative storytelling.Connect: https://www.linkedin.com/in/mehd-io/

Мок-интервью для junior/начинающего middle DevOps: CI/CD, Git-ветки, AWS (VPC, S3), Kubernetes (probes, DaemonSet), Terraform. Разбираем основы, типовые вопросы и ошибки — простым языком.

In this episode, we're joined once again by Christopher Nuland, technical marketing manager at Red Hat, whose globe-trotting schedule rivals the complexity of a Kubernetes deployment. Christopher sits down with hosts Bailey and Frank La Vigne to explore the frontier of artificial intelligence—from simulating reality and continuous learning models to debates around whether we really need humanoid robots to achieve superintelligence, or if a convincingly detailed simulation (think Grand Theft Auto, but for AI) might get us there first.Christopher takes us on a whirlwind tour of Google DeepMind's pioneering alpha projects, the latest buzz around simulating experiences for AI, and the metaphysical rabbit hole of iRobot and simulation theory. We dive into why the next big advancement in AI might not come from making models bigger, but from making them better at simulating the world around them. Along the way, we tackle timely topics in AI governance, security, and the ethics of continuous learning, with plenty of detours through pop culture, finance, and grassroots tech conferences.If you're curious about where the bleeding edge of AI meets science fiction, and how simulation could redefine the race for superintelligence, this episode is for you. Buckle up—because reality might just be the next thing AI learns to hack.Time Stamps00:00 Upcoming European and US Conferences05:38 AI Optimization Plateau08:43 Simulation's Role in Spatial Awareness10:00 Evolutionary Efficiency of Human Brains16:30 "Robotics Laws and Contradictions"17:32 AI, Paperclips, and Robot Ethics22:18 Troubleshooting Insight Experience25:16 Challenges in Training Deep Learning Models27:15 Challenges in Continuous Model Training32:04 AI Gateway for Specialized Requests36:54 Open Source and Rapid Innovation38:10 Industry-Specific AI Breakthroughs43:28 Misrepresented R&D Success Rates44:51 POC Challenges: Meaningful Versus Superficial47:59 "Crypto's Bumpy Crash"52:59 AI: Beyond Models to Simulation

On this episode of The Defense Unicorns Podcast, host and CEO of Defense Unicorns, Rob Slaughter, sits down with Lauren Knausenberger, Chief Innovation Officer, and Bob Ritchie, CGO/CTO, at SAIC, to unpack the evolving intersection of defense, technology, and innovation. From their roots in the Department of Defense to leadership roles at a Fortune 500 integrator, Lauren and Bob bring a front-row view into how mission-driven tech is reshaping the national security landscape.They share what it means to partner across startups, integrators, and government, and why solving the toughest defense challenges requires an open, collaborative ecosystem. Lauren reflects on the cultural and structural shifts sparked by efforts like AFWERX and DIU, while Bob breaks down how cloud platforms and open source models are changing the game, especially at scale.Together, they dig into the growing momentum behind outcome-based acquisition, the importance of credible venture investment in national security startups, and why the real question isn't “who owns the tech,” but “who's focused on the mission.” From acquisition reform to continuous ATOs and lessons from Ukraine, this episode is a grounded, insider perspective on what it takes to modernize defense in both mindset and execution.Key Quotes:"We do bias towards companies that are dedicated to open source and towards the ability to help support those companies succeed, which is one of the most amazing things about what you've done with Defense Unicorns – just the one of the top Kubernetes contributors in the world, then the largest, open source contributor in the industrial base. So, those sorts of principles and values of dedication to mission, and the high standard of craftsmanship around software delivery that it takes to do your software development in open source, is something that really attracts us and how we go and think about partnerships.” - Bob"Our core competency is solving really gnarly problems and bringing all of the tribe and all of the pieces together, and solving the problem. We're not going to be a hyperscaler and an individual enterprise services provider – we can't possibly do all of those things better than everyone else. The warfighter and the operators, they deserve the best capabilities for the mission. So, we do take it very seriously to constantly survey the environment and see who has amazing capabilities that we can bring in now and who has capabilities that we think we need in two years that maybe we should seed through our Ventures program." - Lauren Time Stamps:(00:44) The  Mission and Vision of SAIC(08:04) The Impact of Defense Innovation Programs(12:23) SAIC's Approach to Partnerships(21:31) Changes in Defense Policy and Funding (39:32) Today's Modern Warfare and Information Dominance(45:30)  Recommendations for Innovators for Today's DefenseLinks:Connect with Bob RitchieConnect with Lauren KnausenbergerConnect with Rob SlaughterLearn More About Defense Unicorns Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Recebemos a brilhante Michelle Mesquita para provar, na prática, que AppSec não é sinônimo de “rodar um scanner e rezar”. Conversamos sobre como construir segurança desde o design, passando por threat modeling, SAST/DAST/SCA e políticas reprodutíveis — tudo sem cair na armadilha do PDF de vulnerabilidades que ninguém lê. Sim, nós também rimos (de nervoso) quando lembramos daqueles relatórios com 500 findings.Falamos ainda sobre carreira: onde começam as pessoas de AppSec, por que comunicação e influência importam tanto quanto CWE e CVE, e como programas como Security Champions destravam escala e cultura. Discutimos comunidades e referências (OWASP e afins), automação no pipeline, gamificação e até como usar IA para reduzir ruído e acelerar feedback útil para devs.E, claro, mantivemos o nosso jeitinho: didático, direto e levemente irônico. Se você quer sair do “firefighting” e colocar segurança como requisito funcional do seu produto, este episódio é para você. Prepare o café, abra o IDE e vem com a gente.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.

Shannon Kularathna is a technical writer working on the GKE docs. He contributes regularly to the upstream Kubernetes documentation. Do you have something cool to share? Some questions? Let us know: - web: kubernetespodcast.com - mail: kubernetespodcast@google.com - twitter: @kubernetespod - bluesky: @kubernetespodcast.com News of the week Reddit Post KubeCon NA KubeCon NA Colo events Jeager v2 Kubernetes 1.34 on GKE Links from the interview Shannon Kularathna Kubernetes SIG Docs Kubernetes Documentation Working in Public by Nadia Eghbal Kubernetes Code of Conduct SIG Contributor Experience Kubernetes Blog Join the Kubernetes Slack Kubernetes New Contributor Orientation Events SIG Docs Meetings Kubernetes/website GitHub Repository Good First Issues for kubernetes/website Help Wanted Issues for kubernetes/website

Stephan Donze (@sdonze CEO @AODocs), discusses the enterprise unstructured data crisis, where 80% of business data remains untapped due to legacy system limitations and the challenges of AI-powered document management at scale. We explore how AI agents can transform document workflows while maintaining trust and compliance, the architectural principles needed for cloud-native document management, and why traditional search fails in the age of generative AI.SHOW: 961SHOW TRANSCRIPT: The Cloudcast #961 TranscriptSHOW VIDEO: https://youtube.com/@TheCloudcastNET NEW TO CLOUD? CHECK OUT OUR OTHER PODCAST - "CLOUDCAST BASICS"SPONSORS:[Interconnected] Interconnected is a new series from Equinix diving into the infrastructure that keeps our digital world running. With expert guests and real-world insights, we explore the systems driving AI, automation, quantum, and more. Just search “Interconnected by Equinix”.[TestKube] TestKube is Kubernetes-native testing platform, orchestrating all your test tools, environments, and pipelines into scalable workflows empowering Continuous Testing. Check it out at TestKube.io/cloudcastSHOW NOTES:AODocs websiteTopic 1 - Welcome to the show, Stephan. Give everyone a quick introduction.Topic 2 - We hear all the time about unstructured data and the continual growth in the Enterprise. I've heard numbers of upwards of 80% of all corporate data is unstructured. I've worked at several companies and supported a significant number of customers over the years, and I can count on one hand how many say they have “control” of their data. How did this come to be, and is the problem as big as I think?Topic 3 - The second part of this, and this might be an even bigger problem, is how much of the data is used? Too many needles in the haystack, if you will. How does Agentic AI address this challenge, and where do traditional document management systems fail?Topic 4 - We've talked about data quality in the past on the show, and I'm wondering if this also becomes an issue. Let's say you have a bunch of draft documents leading up to the final version. Is it possible that improper version control and/or we're back to a data quality problem of finding the “final version” needle in the haystack? How does AI prevent this and also not hallucinate an answer that may not be true?Topic 5 - Some have called AI's ability to absorb and report on data just fancy search. What are your thoughts on this? Where and how does traditional search differ from Agentic AI management?Topic 6 - I also see this as being so much more than indexing and reporting on documents. There is also the concept of automation and workflows that agentic AI can improve upon. What use cases are your customers implementing?Topic 7 - Where do you think the industry will go in the next 2-3 years?FEEDBACK?Email: show at the cloudcast dot netBluesky: @cloudcastpod.bsky.socialTwitter/X: @cloudcastpodInstagram: @cloudcastpodTikTok: @cloudcastpod

In this episode of the Ardan Labs Podcast, Bill Kennedy talks with Jasson Casey, CEO and co-founder of Beyond Identity, about modern cybersecurity. Jasson shares his journey from early interests in technology and networking to leading startups and building products that address today's security challenges. They explore the evolution of authentication, the need for hardware-backed identity systems, the realities of insider threats, and how cultural and customer insights shape better security solutions.00:00 Introduction00:30 What is Jasson Doing Today?7:00 Fundamentals of Security15:30 First Memory of a Computer22:00 Interest in Physics 36:00 Working in College43:00 Joining a Startup50:00 Becoming a Product Manager at 2158:30 Culture Shock 1:03:20 Moving to Executive Roles1:10:00 Starting Beyond Identity1:19:00 Monitoring Threats1:34:00 Contact InfoConnect with Jasson: Linkedin: https://www.linkedin.com/in/jassoncasey/X: https://x.com/jassoncaseyMentioned in this Episode:Beyond Identity: https://www.beyondidentity.com/Want more from Ardan Labs? You can learn Go, Kubernetes, Docker & more through our video training, live events, or through our blog!Online Courses : https://ardanlabs.com/education/ Live Events : https://www.ardanlabs.com/live-training-events/ Blog : https://www.ardanlabs.com/blog Github : https://github.com/ardanlabs

Cloud Posse holds LIVE "Office Hours" every Wednesday to answer questions on all things related to AWS, DevOps, Terraform, Kubernetes, CI/CD. Register at https://cloudposse.com/office-hoursSupport the show

Send us a textThe enterprise software landscape is undergoing rapid transformation as vendors double down on AI, automation, and data intelligence. ActiveCampaign's acquisition of Hilos strengthens its conversational marketing stack by expanding WhatsApp capabilities, while HG Insights is redefining data intelligence to refine go-to-market execution. HubSpot's planned acquisition of Dashworks signals a deeper integration of AI knowledge management, and Sitecore's launch of the Martech industry's first AI Innovation Lab underscores the growing urgency for marketers to accelerate their AI journeys. StackAdapt continues to advance transparency in connected TV and cross-screen analytics, whereas Accenture and Pipefy are joining forces on over 450 AI agents to scale process automation. Camunda's introduction of agentic orchestration brings a new layer of autonomy to enterprise workflows, and Nintex's generative AI updates further enhance intelligent automation. Meanwhile, Circana's Liquid Supply Chain solution and CloudBolt's acquisition of StormForge to optimize Kubernetes environments highlight a broader trend—AI and automation are now converging across marketing, operations, and infrastructure to drive unified, data-driven execution.In today's episode, we invited a panel of industry analysts for a live discussion on LinkedIn to analyze current enterprise software stories. We covered many grounds including the direction and roadmaps of each enterprise software vendors. Finally, we analyzed future trends and how they might shape the enterprise software industry.Background Soundtrack: Away From You – Mauro SommFor more information on growth strategies for SMBs using ERP and digital transformation, visit our community at wbs. rocks or elevatiq.com. To ensure that you never miss an episode of the WBS podcast, subscribe on your favorite podcasting platform. 

In this episode, Darko welcomes Sarah Novotny, a technology leader with 25+ years of experience. From shaping Kubernetes governance at Google to her current work on AI security with the Coalition for Secure AI, Sarah brings deep insight into how open source and governance shape the future of tech.Like this episode? Be sure to leave a ⭐️⭐️⭐️⭐️⭐️ review on the podcast player of your choice and share it with your friends.

John Bristowe brings over 20 years of experience in technology to his role as Community Director at Octopus Deploy. His career includes time at Progress and Microsoft, where he developed his skills in management and technology. Known for a straightforward and engaging style, John often speaks at industry conferences, sharing practical tips and insights. John is a HashiCorp Ambassador and part of the Progress Champions program.   He enjoys creating content such as articles, webinars, and podcasts, aiming to help others in the tech community. In his free time, John likes to stay informed about the latest tech developments and shares his learning with an online audience. His approach is always about sharing knowledge and learning together.   Topics of Discussion: [2:47] John shares his career journey, starting at Microsoft in 2005, and his involvement in developer evangelism. [4:03] The evolution of Octopus Deploy, from an open-source project to a commercial tool. [5:47] The importance of setting up deployment pipelines and the challenges of deploying on weekends due to brittle pipelines. [6:36] Check out the Octopus Deploy roadmap for updates on new features and innovations. [9:04] The potential of AI in the deployment space and the importance of maintaining a balance between AI and human involvement. [10:46] More about Codefresh. [11:23] The integration of AI capabilities in Octopus Deploy, including the AI assistant. [15:17] Designer Experience vs. Text-Based Workflows. [24:43] Common use cases for runbooks, including server maintenance, database management, and cost management in Kubernetes. [26:22] The importance of automated health checks and runbooks for ensuring reliable and cost-effective deployments. [29:58] Platform Hub and Enterprise Scalability.   Mentioned in this Episode: Clear Measure Way Architect Forum Software Engineer Forum Octopus Deploy Codefresh   Want to Learn More? Visit AzureDevOps.Show for show notes and additional episodes.

Today we tackle the generational infrastructure shift that's keeping IT leaders awake at night: OpenShift virtualization adoption. We dig deep into why organizations are struggling to migrate from traditional VM-focused infrastructure to Kubernetes-managed infrastructure. We explore the real hurdles blocking this transition and unpack the strategic positioning that matters when you're moving to container-orchestrated infrastructure. This isn't about dumping everything into Kubernetes and calling it done, we examine what it really takes to use Kubernetes as your infrastructure abstraction layer while navigating the operational realities that make or break these migrations. Transcript: https://otter.ai/u/IY2Y0a4aFN99ILg9daArE1nwe-c?utm_source=copy_url

How is it possible that smart people both love and hate AI? Does it matter how smart you are, or just how you interact with AI? SHOW: 960SHOW TRANSCRIPT: The Cloudcast #960 TranscriptSHOW VIDEO: https://youtube.com/@TheCloudcastNET CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotwCHECK OUT OUR NEW PODCAST: "CLOUDCAST BASICS"SHOW SPONSORS:[TestKube] TestKube is Kubernetes-native testing platform, orchestrating all your test tools, environments, and pipelines into scalable workflows empowering Continuous Testing. Check it out at TestKube.io/cloudcast[Interconnected] Interconnected is a new series from Equinix diving into the infrastructure that keeps our digital world running. With expert guests and real-world insights, we explore the systems driving AI, automation, quantum, and more. Just search “Interconnected by Equinix”.SHOW NOTES:WHAT TYPES OF SMART PEOPLE LOVE AND HATE AI?AcquihiresEarly Stock BuyoutsAI = Aggregated (or Augmented) InternsDomain-ExpertsSenior White Collar WorkersFEEDBACK?Email: show at the cloudcast dot netTwitter/X: @cloudcastpodBlueSky: @cloudcastpod.bsky.socialInstagram: @cloudcastpodTikTok: @cloudcastpod

In this deep dive episode, we explore the evolution of networking with Avery Pennarun, Co-Founder and CEO of Tailscale. Avery shares his extensive journey through VPN technologies, from writing his first mesh VPN protocol in 1997 called “Tunnel Vision” to building Tailscale, a zero-trust networking solution. We discuss how Tailscale reimagines the OSI stack by... Read more »

Todd Robinson, Founder and President of OpenMetal.io, discusses the resurgence of bare metal infrastructure driven by AI workloads, digital sovereignty requirements, and companies reassessing public cloud economics. The conversation explores how organizations are finding cost and control advantages in bare metal solutions, particularly for long-running applications. It examines OpenMetal's open-source approach using technologies like Ceph and OpenStack to deliver flexible infrastructure alternatives.SHOW: 959SHOW TRANSCRIPT: The Cloudcast #959 TranscriptSHOW VIDEO: https://youtube.com/@TheCloudcastNET CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotwNEW TO CLOUD? CHECK OUT OUR OTHER PODCAST: "CLOUDCAST BASICS" SPONSORS:[Interconnected] Interconnected is a new series from Equinix diving into the infrastructure that keeps our digital world running. With expert guests and real-world insights, we explore the systems driving AI, automation, quantum, and more. Just search “Interconnected by Equinix”.[TestKube] TestKube is Kubernetes-native testing platform, orchestrating all your test tools, environments, and pipelines into scalable workflows empowering Continuous Testing. Check it out at TestKube.io/cloudcastSHOW NOTES:OpenMetal websiteTopic 1 - Welcome to the show. Tell us about your background, and you developed a passion around bare metal and cloud services?Topic 2 - Between AI (GPU rental), digital sovereignty initiatives, and even virtualization alternatives, it feels like bare metal is having a resurgence. Give some a sense of what the demands for bare metal solutions look like today?Topic 3 - As companies understand the economics of having used public cloud services, are there certain use-cases that become immediately obvious where more private, hosted, bare metal services just make more sense? Topic 4 - OpenMetal is based on open source technologies like Ceph and OpenStack. How important to customers about the technologies under their applications, or do the economics and control aspects play a bigger role in their decisions? Topic 5 - I'm often asked if there is a model about when it makes more sense to use on-demand service vs. more fixed services. Is there a rule of thumb (e.g. longevity of an application, amount of change, etc.) that you've found drives the most success at picking the right environment for applications?Topic 6 - OpenMetal could be described as a public or private cloud service. Do you find that there is still the stigma over “private cloud” that we saw when the hyperscalers were initially growing so quickly?Topic 7 - What are the best ways to engage with or begin using bare metal services? FEEDBACK?Email: show at the cloudcast dot netBluesky: @cloudcastpod.bsky.socialTwitter/X: @cloudcastpodInstagram: @cloudcastpodTikTok: @cloudcastpod

This episode of the Pure Report podcast welcomes back Jon Owings, a long-time Puritan and expert in Kubernetes and data management, to demystify the rapidly evolving world of containerization and AI. We dive deep into why over 96% of enterprises are adopting Kubernetes, exploring the latest trends like containers as VM alternatives and the advantages of Kubernetes deployments in AI environments. We also shed light on the crucial role of Platform Engineering, helping listeners understand who these professionals are and what they do. Jon shares insights from his work with Portworx, revealing where they're seeing the most success and why their offering stands out from the competition. Get ready for some "Hot Takes" in a rapid-fire segment covering overlooked industry shifts and even a favorite customer "screwup" story with a successful resolution. Tune in for practical advice on adopting Kubernetes and don't miss the inaugural "Storage Confessions" segment, where Jon shares a memorable challenge and its resolution.

The video describes the new Logic Apps Hybrid deployment model that allows customers to run their integration workloads in their own Kubernetes environments. This is ideal for customers initiating their journey to the cloud and hosting multiple on-premises workloads, who need to meet industry regulations, who wants to reuse their own Kubernetes infrastructure, or to avoid the natural latency introduced in hybrid configurations. Chapters 00:00 - Introduction 02:50 - Creation of a Logic Apps with hybrid deployment model 06:25 - Creation of a workflow 08:15 - The power of the Workflow Designer 09:00 - Open telemetry in Logic Apps 10:05 - Zip deploy 10:45 - Rules engine 14:12 - Core concepts of Hybrid 14:52 - Wrap up Recommended resources Set up your own infrastructure for Standard logic apps using hybrid deployment Connect Scott Hanselman | Twitter/X: @SHanselman Harold Campos | Twitter/X: @hcampsosu | LinkedIn Harold Campos | YouTube Harold Campos Azure Friday | Twitter/X: @AzureFriday Azure | Twitter/X: @Azure

The video describes the new Logic Apps Hybrid deployment model that allows customers to run their integration workloads in their own Kubernetes environments. This is ideal for customers initiating their journey to the cloud and hosting multiple on-premises workloads, who need to meet industry regulations, who wants to reuse their own Kubernetes infrastructure, or to avoid the natural latency introduced in hybrid configurations. Chapters 00:00 - Introduction 02:50 - Creation of a Logic Apps with hybrid deployment model 06:25 - Creation of a workflow 08:15 - The power of the Workflow Designer 09:00 - Open telemetry in Logic Apps 10:05 - Zip deploy 10:45 - Rules engine 14:12 - Core concepts of Hybrid 14:52 - Wrap up Recommended resources Set up your own infrastructure for Standard logic apps using hybrid deployment Connect Scott Hanselman | Twitter/X: @SHanselman Harold Campos | Twitter/X: @hcampsosu | LinkedIn Harold Campos | YouTube Harold Campos Azure Friday | Twitter/X: @AzureFriday Azure | Twitter/X: @Azure

How did Oracle Cloud (with OpenAI) suddenly command the news cycle, with a chance to potentially overtake much larger clouds in a few years? Let's explore how Oracle's focus on bare-metal and bandwidth might have ripple effects on Cloud and AI.SHOW: 958SHOW TRANSCRIPT: The Cloudcast #958 TranscriptSHOW VIDEO: https://youtube.com/@TheCloudcastNET CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotwCHECK OUT OUR NEW PODCAST: "CLOUDCAST BASICS"SHOW SPONSORS:[TestKube] TestKube is Kubernetes-native testing platform, orchestrating all your test tools, environments, and pipelines into scalable workflows empowering Continuous Testing. Check it out at TestKube.io/cloudcast[Interconnected] Interconnected is a new series from Equinix diving into the infrastructure that keeps our digital world running. With expert guests and real-world insights, we explore the systems driving AI, automation, quantum, and more. Just search “Interconnected by Equinix”.SHOW NOTES:WHAT ARE THE ALTERNATIVE PATHS FOR AI? The Cloudcast #330 - Oracle's Next-Generation Cloud IaaSOracle Chosen as TikTok's Secure Cloud Provider- [Oracle Press Release]Oracle Cloud and OpenAI sign $300B deal - [WSJ]Oracle Cloud - [Platformnomics]Oracle and OpenAI - [Ed Zitron]FEEDBACK?Email: show at the cloudcast dot netTwitter/X: @cloudcastpodBlueSky: @cloudcastpod.bsky.socialInstagram: @cloudcastpodTikTok: @cloudcastpod

At Berlin Buzzwords, industry voices highlighted how search is evolving with AI and LLMs.- Kacper Łukawski (Qdrant) stressed hybrid search (semantic + keyword) as core for RAG systems and promoted efficient embedding models for smaller-scale use.- Manish Gill (ClickHouse) discussed auto-scaling OLAP databases on Kubernetes, combining infrastructure and database knowledge.- André Charton (Kleinanzeigen) reflected on scaling search for millions of classifieds, moving from Solr/Elasticsearch toward vector search, while returning to a hands-on technical role.- Filip Makraduli (Superlinked) introduced a vector-first framework that fuses multiple encoders into one representation for nuanced e-commerce and recommendation search.- Brian Goldin (Voyager Search) emphasized spatial context in retrieval, combining geospatial data with AI enrichment to add the “where” to search.- Atita Arora (Voyager Search) highlighted geospatial AI models, the renewed importance of retrieval in RAG, and the cautious but promising rise of AI agents.Together, their perspectives show a common thread: search is regaining center stage in AI—scaling, hybridization, multimodality, and domain-specific enrichment are shaping the next generation of retrieval systems.Kacper Łukawski Senior Developer Advocate at Qdrant, he educates users on vector and hybrid search. He highlighted Qdrant's support for dense and sparse vectors, the role of search with LLMs, and his interest in cost-effective models like static embeddings for smaller companies and edge apps. Connect: https://www.linkedin.com/in/kacperlukawski/Manish Gill Engineering Manager at ClickHouse, he spoke about running ClickHouse on Kubernetes, tackling auto-scaling and stateful sets. His team focuses on making ClickHouse scale automatically in the cloud. He credited its speed to careful engineering and reflected on the shift from IC to manager. Connect: https://www.linkedin.com/in/manishgill/André Charton Head of Search at Kleinanzeigen, he discussed shaping the company's search tech—moving from Solr to Elasticsearch and now vector search with Vespa. Kleinanzeigen handles 60M items, 1M new listings daily, and 50k requests/sec. André explained his career shift back to hands-on engineering. Connect: https://www.linkedin.com/in/andrecharton/Filip Makraduli Founding ML DevRel engineer at Superlinked, an open-source framework for AI search and recommendations. Its vector-first approach fuses multiple encoders (text, images, structured fields) into composite vectors for single-shot retrieval. His Berlin Buzzwords demo showed e-commerce search with natural-language queries and filters. Connect: https://www.linkedin.com/in/filipmakraduli/Brian Goldin Founder and CEO of Voyager Search, which began with geospatial search and expanded into documents and metadata enrichment. Voyager indexes spatial data and enriches pipelines with NLP, OCR, and AI models to detect entities like oil spills or windmills. He stressed adding spatial context (“the where”) as critical for search and highlighted Voyager's 12 years of enterprise experience. Connect: https://www.linkedin.com/in/brian-goldin-04170a1/Atita Arora Director of AI at Voyager Search, with nearly 20 years in retrieval systems, now focused on geospatial AI for Earth observation data. At Berlin Buzzwords she hosted sessions, attended talks on Lucene, GPUs, and Solr, and emphasized retrieval quality in RAG systems. She is cautiously optimistic about AI agents and values the event as both learning hub and professional reunion. Connect: https://www.linkedin.com/in/atitaarora/

Kubernetes is flexible and customizable, but it can also be notoriously complex and difficult to deploy to. On today’s Day Two DevOps we learn about kro (Kube Resource Operator), an open-source tool that helps simplify complex application deployments. Our guest is Islam Mahgoub, a Solutions Architect at AWS focused on building kro. We talk about... Read more »

Kubernetes is flexible and customizable, but it can also be notoriously complex and difficult to deploy to. On today’s Day Two DevOps we learn about kro (Kube Resource Operator), an open-source tool that helps simplify complex application deployments. Our guest is Islam Mahgoub, a Solutions Architect at AWS focused on building kro. We talk about... Read more »

Ole Lensmarm, Founder/CTO at TestKube, discusses how Kubernetes-native testing platforms are designed to address limitations in traditional CI/CD testing workflows. The conversation covers how TestKube differs from existing testing environments, expands test coverage opportunities for development and QA teams, and provides best practices for testing in Kubernetes environments.SHOW: 957SHOW TRANSCRIPT: The Cloudcast #957 TranscriptSHOW VIDEO: https://youtube.com/@TheCloudcastNET CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotwNEW TO CLOUD? CHECK OUT OUR OTHER PODCAST: "CLOUDCAST BASICS" SPONSORS:[Interconnected] Interconnected is a new series from Equinix diving into the infrastructure that keeps our digital world running. With expert guests and real-world insights, we explore the systems driving AI, automation, quantum, and more. Just search Interconnected by Equinix.[TestKube] TestKube is Kubernetes-native testing platform, orchestrating all your test tools, environments, and pipelines into scalable workflows empowering Continuous Testing. Check it out at TestKube.io/cloudcast[DoIT] Visit doit.com (that's d-o-i-t.com) to unlock intent-aware FinOps at scale with DoiT Cloud Intelligence.SHOW NOTES:TestKube - A Kubernetes-native platform that powers Continuous Testing for today's AI-accelerated developmentTestKube (open source)Why did we start TestKube (Ole Lensmar)Topic 1 - Welcome to the show. Tell us about your background and what led you to start TestKube.Topic 2 - Let's talk about the origins of TestKube. What were some areas where you saw people having frustrations or limitations that were holding back their ability to do proper testing to get things into production?Topic 3 - Let's talk about the basics of TestKube. Can you talk about how it's different from existing testing environments, or how people use CI/CD todayTopic 4 - Does TestKube expand what a typical Dev-team, or QA-team would test, or does it create new opportunities for test coverage that were very difficult before? Topic 5 - What are some of the results or feedback you've heard from people using TestKube?Topic 6 - What are some best practices you're seeing as people begin to evolve how they test for their Kubernetes environments?Topic 7 - What's the best way for people to get started with TestKubeFEEDBACK?Email: show at the cloudcast dot netBluesky: @cloudcastpod.bsky.socialTwitter/X: @cloudcastpodInstagram: @cloudcastpodTikTok: @cloudcastpod

In this episode of the Ardan Labs Podcast, Bill Kennedy interviews Jonathan Amsterdam from the Go team at Google about his journey from academia and finance to software engineering, his work on Go and API design, and the importance of adaptability, community, and building impactful software.00:00 Introduction00:30 What is Jonathan Doing Today?02:00 First Memories of a Computer09:30 Entering University14:00 Early Coding / Academics 20:50 Interest in AI / ML27:00 Career Beginnings 33:00 Transitioning to Java and Teaching41:00 Distributed Software45:00 Ambitions / Finding Stability 55:00 Experiences at Google 1:07:20 Joining the Go Team1:17:00 Go and MCP1:24:00 API Design and Philosophy1:30:20 Contact InfoConnect with Jonathan: Linkedin: https://www.linkedin.com/in/jonathan-amsterdam-b901b21/Mentioned in this Episode:Go-sdk: https://github.com/modelcontextprotocol/go-sdkWant more from Ardan Labs? You can learn Go, Kubernetes, Docker & more through our video training, live events, or through our blog!Online Courses : https://ardanlabs.com/education/ Live Events : https://www.ardanlabs.com/live-training-events/ Blog : https://www.ardanlabs.com/blog Github : https://github.com/ardanlabs

Apple's iPhone had the Android ecosystem, but where is the Android of AI going to come from to challenge the OpenAI/NVIDIA duopoly? Let's explore the possibilities. SHOW: 956SHOW TRANSCRIPT: The Cloudcast #956 TranscriptSHOW VIDEO: https://youtube.com/@TheCloudcastNET CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotwCHECK OUT OUR NEW PODCAST: "CLOUDCAST BASICS"SHOW SPONSORS:[DoIT] Visit doit.com (that's d-o-i-t.com) to unlock intent-aware FinOps at scale with DoiT Cloud Intelligence.[TestKube] TestKube is Kubernetes-native testing platform, orchestrating all your test tools, environments, and pipelines into scalable workflows empowering Continuous Testing. Check it out at TestKube.io/cloudcastSHOW NOTES:WHAT ARE THE ALTERNATIVE PATHS FOR AI? Consumer: Ad-supportedConsumer: Understandable tiersEnterprise: ELAs for Co-Pilot, GeminiEnterprise: Model building tools (e.g. AWS Sagemaker, Google Vertex, etc.)FEEDBACK?Email: show at the cloudcast dot netTwitter/X: @cloudcastpodBlueSky: @cloudcastpod.bsky.socialInstagram: @cloudcastpodTikTok: @cloudcastpod

This week, we discuss the effectiveness of reorgs, Meta's new AI team, and the Google antitrust ruling. Plus, some strong thoughts on cold brew and bathtubs. Watch the YouTube Live Recording of Episode (https://www.youtube.com/live/70qYaXEdk6E?si=q834nuI2mPpogFNb) 536 (https://www.youtube.com/live/70qYaXEdk6E?si=q834nuI2mPpogFNb) Runner-up Titles Buy once, cry once Annual Recurring Regrets The Bathtub Problem Bathtime is My Time Your Daily Stoic No one cares about open source cold brew Once you have it pick up the phone and call someone, the dream of the Internet is dead. The Chrome ecoverse. Rundown The VC who married Paris Hilton uses his cryochamber twice a day and launches an AI agent before bed (https://www.businessinsider.com/cofounder-of-vc-firm-m13-heres-my-daily-routine-2025-8) OpenAI starts building out its app team (https://www.theverge.com/openai/769325/openai-statsig-acquisition-executive-moves) OpenAI shuffles executive roles, acquires Statsig for $1.1 billion (https://www.theverge.com/openai/769325/openai-statsig-acquisition-executive-moves) Reorganizations Zuckerberg's AI hires disrupt Meta with swift exits and threats to leave (https://on.ft.com/45S3Din) No Amount of Money Can Make People Want to Work for Zuck (https://gizmodo.com/meta-ai-staff-problems-2000650796) Inside Amazon's 'hardcore' culture reset (https://www.businessinsider.com/inside-amazons-hardcore-culture-reset-day-1-roots-2025-9) New Research Debunks Open Source Business Model Myths (https://www.itprotoday.com/software-development/new-research-debunks-open-source-business-model-myths) Google gets to keep Chrome but is barred from exclusive search deals, judge rules (https://www.cnbc.com/2025/09/02/google-antitrust-search-ruling.html) Relevant to your Interests Opinion | A.I. May Be Just Kind of Ordinary (https://www.nytimes.com/2025/08/20/opinion/ai-technology-chatgpt.html) Anthropic Settles High-Profile AI Copyright Lawsuit Brought by Book Authors (https://www.wired.com/story/anthropic-settles-copyright-lawsuit-authors/) Zen Browser — What Mozilla Firefox Should Be? (https://www.omgubuntu.co.uk/2025/08/zen-browser-is-what-mozilla-firefox-should-be) Asahi Linux Lead Developer Steps Down (https://linuxiac.com/asahi-linux-lead-developer-steps-down/) How to prepare for the Bitnami Changes coming soon (https://community.broadcom.com/tanzu/blogs/beltran-rueda-borrego/2025/08/18/how-to-prepare-for-the-bitnami-changes-coming-soon) Metal³ - Metal Kubed (https://metal3.io/) How This A.I. Company Collapsed Amid Silicon Valley's Biggest Boom (https://www.nytimes.com/2025/08/31/technology/builder-ai-collapse.html) AI Experts No Longer Saving for Retirement Because They Assume AI Will Kill Us All by Then (https://futurism.com/ai-experts-no-retirement-kill-us-all) Unix Co-Creator Brian Kernighan on Rust, Distros and NixOS (https://thenewstack.io/unix-co-creator-brian-kernighan-on-rust-distros-and-nixos/) Taco Bell rethinks AI drive-through after man orders 18,000 waters (https://www.bbc.com/news/articles/ckgyk2p55g8o?utm_source=changelog-news) Tanzu having nothing to do with Kubernetes anymore (https://youtu.be/b6qorZ9EH_s?si=1z7vC0ONPUTC9vgt&t=78) There is no Tanzu Kubenetes, only VKS (https://www.youtube.com/watch?v=lg7MAacSPNM). Nvidia stock turns positive in premarket trading as investors buy dip following earnings report (https://www.cnbc.com/2025/08/28/nvidia-stock-ai-spend.html) MongoDB Soars: Analyzing the Recent Surge (https://stockstotrade.com/news/mongodb-inc-mdb-news-2025_08_27/) NVIDIA Q2 Profit Soars 59% as Blackwell AI Surge Fuels Record Revenue (https://finance.yahoo.com/news/nvidia-q2-profit-soars-59-021402431.html) Nvidia, $NVDA, has reported that a single customer accounted for 23% of its total quarterly revenue of $46.7 billion, per Bloomberg (https://x.com/unusual_whales/status/1961102212203151505?s=46&t=EoCoteGkQEahPpAJ_HYRpg) Nonsense The Dutch are quietly shifting towards a four-day work week (https://www.ft.com/content/7b61e52c-93fc-4634-b9ad-fdacac5d6538) Conferences VMUG London (https://my.vmug.com/s/event/a4pVs000000eX25IAE/uk-usercon?filters=%257B%2522baseConditions%2522%3A%255B%257B%2522fieldName%2522%3A%2522acem__Zone__c%2522%2C%2522fieldType%2522%3A%2522ID%2522%2C%2522fieldValue%2522%3A%2522a4vVs0000002wkgIAA%2522%257D%255D%2C%2522tabCondition%2522%3A%2522Upcoming%2522%2C%2522textAreaConditions%2522%3A%255B%255D%2C%2522picklistConditions%2522%3A%255B%255D%2C%2522chatterGroupCondition%2522%3A%257B%2522chatterGroupId%2522%3Anull%257D%2C%2522page%2522%3A5%257D&chatterGroupId&utm_source&utm_medium&utm_campaign), Coté speaking, September 18th. SREDay London (https://sreday.com/2025-london-q3/), Coté speaking, September 18th and 19th. 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: GFiber (https://fiber.google.com/cities/austin/?gad_source=1&gad_campaignid=371789057&gbraid=0AAAAADv16iAJKV4jNQW_rdI2wLOvekL8d&gclid=CjwKCAjwq9rFBhAIEiwAGVAZP4YyYY2zta7CfNg07B77o37pK8gmIiyIxQcZp-Hvb1WU091n9eP8NhoC-30QAvD_BwE) Matt: Zen web browser (https://zen-browser.app/) Coté: Apple-brand woven USB cables (1 meter (https://www.apple.com/shop/product/MW493AM/A/60w-usb-c-charge-cable-1-m?fnode=2ddf861839ad4fd5e835aee94bb846eef6576562114e5fa549004140dae380b9eb807ec4fddcf1c8fae4bce7e6cd9e862ca06b5f333f15ca959b04b6abf63977ded3051362115477d2c20aca827313e3b82d6b204ebac42788e3c0c4c81985f948af7566094761801cfafb22e67279bc&fs=f%3Dcable%26fh%3D47a7%252B45c4) and 2 meter (https://www.apple.com/shop/product/MYQT3AM/A/240w-usb-c-charge-cable-2-m?fnode=2ddf861839ad4fd5e835aee94bb846eef6576562114e5fa549004140dae380b9eb807ec4fddcf1c8fae4bce7e6cd9e862ca06b5f333f15ca959b04b6abf63977ded3051362115477d2c20aca827313e3b82d6b204ebac42788e3c0c4c81985f948af7566094761801cfafb22e67279bc&fs=f%3Dcable%26fh%3D47a7%252B45c4)). Tenshi Sushi Duivendrecht (https://www.tenshisushi.nl) Photo Credits Header (https://unsplash.com/photos/white-ceramic-bathtub-near-white-wall-dNjW6UWwLHA)

John Capobianco is back! Just months after our first Model Context Protocol (MCP) discussion, John returns to showcase how this “USB-C of software” has transformed from experimental technology to an enterprise-ready solutions. We explore the game-changing OAuth 2.1 security updates, witness live demonstrations of packet analysis through natural language with Gemini CLI, and discover how... Read more »

Brian Gracely (@bgracely) Aaron Delp (@aarondelp) and Brandon Whichard (@bwhichard, @SoftwareDefTalk) discuss the top stories in Cloud and AI from August 2025.SHOW: 955SHOW TRANSCRIPT: The Cloudcast #955 TranscriptSHOW VIDEO: https://youtube.com/@TheCloudcastNET NEW TO CLOUD? CHECK OUT OUR OTHER PODCAST:  "CLOUDCAST BASICS"SPONSORS:[TestKube] TestKube is Kubernetes-native testing platform, orchestrating all your test tools, environments, and pipelines into scalable workflows empowering Continuous Testing. Check it out at TestKube.io/cloudcast[DoIT] Visit doit.com (that's d-o-i-t.com) to unlock intent-aware FinOps at scale with DoiT Cloud Intelligence.SHOW NOTES:Link to August 2025 News and ArticlesFEEDBACK?Email: show at the cloudcast dot netBluesky: @cloudcastpod.bsky.socialTwitter/X: @cloudcastpodInstagram: @cloudcastpodTikTok: @cloudcastpod

Neste episódio do Engenharia de Dados Cast, Vitor Ramos e Victor Grudtner discutem com o convidado Matheus Nogueira sobre a experiência prática com Kubernetes, abordando desde a introdução à ferramenta até desafios enfrentados em produção. O convidado compartilha dicas sobre como começar a estudar Kubernetes, a importância da observabilidade e a cultura de trabalho em equipes que utilizam essa tecnologia. Além disso, são discutidos os desafios da arquitetura distribuída e a necessidade de um planejamento cuidadoso para evitar problemas financeiros e operacionais. Matheus Nogueira compartilha suas experiências e dicas sobre o uso do Kubernetes, abordando desde a importância de evitar o namespace padrão até a comunicação eficaz entre equipes técnicas e de negócios. Ele discute o futuro do Kubernetes, destacando sua relevância e as tendências emergentes, além de oferecer recomendações práticas para otimização de containers e automação de testes com inteligência artificial. Luan Moreno = https://www.linkedin.com/in/luanmoreno/