Podcasts about Kubernetes

Chris McHenry, Chief Product Officer at Aviatrix, joined Doug Green, Publisher of Technology Reseller News, to discuss the launch of Aviatrix 8.2 and how the company is redefining zero trust security for modern cloud-native environments. McHenry explained that as critical business data and AI workloads increasingly reside in public clouds such as AWS, Azure, and Google Cloud, traditional perimeter-based security models are no longer sufficient. Aviatrix has spent the last decade building its Cloud Native Security Fabric, a platform designed specifically for cloud operational models rather than retrofitted on-premises approaches. With release 8.2, Aviatrix significantly expands its “zero trust for workloads” capabilities, focusing on Kubernetes, serverless environments, and AI-driven applications. A central theme of the conversation was the evolution of zero trust from a networking concept into a workload-centric security strategy. McHenry noted that recent supply-chain attacks have shown how quickly cloud-native environments can be compromised if basic network controls are missing. Aviatrix 8.2 introduces deeper Kubernetes awareness, policy-as-code integration, and initial native support for securing AWS Lambda, allowing organizations to apply micro-segmentation and least-privilege access directly to modern workloads. McHenry emphasized that cloud security must also evolve operationally. Security teams can no longer rely on slow, ticket-based firewall processes while developers deploy infrastructure at machine speed. Aviatrix 8.2 supports a DevSecOps-friendly model that enables developers to manage zero trust policies within guardrails defined by security teams. As McHenry put it, “If your workloads get more modern but your controls don't, security gets worse without you touching anything.” The discussion concluded with guidance for CIOs and CISOs preparing for the next wave of cloud and AI-driven threats: assess whether existing network security tools truly understand cloud-native workloads, modernize security operations alongside development practices, and prioritize platforms that unify cloud, network, and security teams. More information on Aviatrix 8.2 and the Cloud Native Security Fabric is available at https://aviatrix.ai/.

On episode 30 of Open Source Ready, Brian Douglas and John McBride sit down with Felipe Huici to explore Unikraft and the growing role of unikernels in modern cloud infrastructure. They discuss how unikernels differ from containers and traditional virtual machines, why millisecond startup times matter, and how Unikraft enables secure, scale-to-zero workloads. The conversation also touches on Kubernetes integration, open source governance, and where cloud isolation is headed next.

Initial Stages of Romance Scams [Guest Diary] Romance scams often start with random text messages that appear to be misrouted . This guest diary by Faris Azhari is following some of the initial stages of such a scam. https://isc.sans.edu/diary/Initial%20Stages%20of%20Romance%20Scams%20%5BGuest%20Diary%5D/32650 Denial of Service Vulnerabilities in React Server Components Another folowup fix for the severe React vulnerability from last year, but now only fixing a DoS condition. https://github.com/facebook/react/security/advisories/GHSA-83fc-fqcc-2hmg OpenSSL Updates OpenSSL released its monthly updates, fixing a potential RCE. https://openssl-library.org/news/vulnerabilities/ Kubernetes Remote Code Execution Via Nodes/Proxy GET Permission Many Kubernetes Helm Charts are vulnerable to possible remote code executions due to unclear defined access controls. https://grahamhelton.com/blog/nodes-proxy-rce

In this episode, we sit down with Adam Zimman, author and VC advisor, to explore the world of progressive delivery and why shipping software is only the beginning. Adam shares his fascinating journey through tech—from his early days as a fire juggler to leadership roles at EMC, VMware, GitHub, and LaunchDarkly – and how those... Read more »

Con el comienzo del nuevo año es importante repasar lo aprendido en 2025 para adelantarnos a las amenazas que se nos vienen en 2026 y justo eso es lo que vamos a hacer en este nuevo episodio de Tierra de Hackers, ⭐️ 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 REDES SOCIALES - Twitter: https://twitter.com/tierradehackers - Instagram: https://instagram.com/tierradehackers - TikTok: https://tiktok.com/@tierradehackers - LinkedIn: https://linkedin.com/company/tierradehackers - Facebook: https://facebook.com/tierradehackers Únete al canal oficial de Discord para conectar con la comunidad de Tierra de Hackers: https://tierradehackers.com/discord Apóyanos en Patreon y obtén beneficios exclusivos y merchandising: https://patreon.com/tierradehackers CAPÍTULOS 03:07 Tendencias en Ciberseguridad para 2023 12:02 El Impacto del Phishing 20:09 La Identidad como Nuevo Perímetro 29:20 Intrusiones sin Malware 31:35 Hackeando servicios expuestos 33:52 Los cambios a la hora de atacar empresas 36:43 La evolución de Ransomware 39:21 Convergencia de las técnicas usadas entre grupos APT y cibercriminales 44:58 El aumento de la velocidad 49:35 Vulnerabilidades en infraestructura crítica 52:33 Ciber-operaciones y geopolítica 57:12 Amenazas en las nuevas tecnologías 01:00:38 Mis predicciones personales Notas, links y referencias del episodio: https://www.tierradehackers.com/episodio-141

Shane is worried about backups for his janky Kubernetes homelab. The rest of us advise him on exactly what to back up, how to go about picking an offsite backup location and setting it up, how best to back up databases, and more. Antigravity A1 The Antigravity A1 is the world's first all-in-one 8K 360 drone. It's a real game-changer. You get full immersive flight with the goggles, intuitive controls, and endless creative freedom in editing. If you're thinking about buying a drone, make it this one. Learn more at antigravity.tech Support us on patreon and get an ad-free RSS feed with early episodes sometimes Subscribe to the RSS feed.

I talk with David Flanagan, aka Rawkode, about his new opinionated Tech Matrix that helps you navigate the overwhelming CNCF landscape. https://rawkode.academy/technology/matrix

Five years ago, Kelsey Hightower helped me find my voice in tech as the guest for my fifth podcast episode. Today, the man who taught the world Kubernetes and became a legend for his live demos returns for a conversation that goes far beyond infrastructure and code.Now retired-ish, Kelsey has transitioned into a new chapter. In this episode, we explore what it means to be not only a senior engineer, but also a "senior human" in an industry obsessed with speed. Kelsey shares his unique perspective on:Real vs. Artificial Intelligence: Why we must stop ignoring real intelligence and focus on providing humans with the same context and clarity we give to AI.The Future of Engineering: Why your value will shift from writing code to making stylistic, high-impact decisions as AI levels the technical playing field.Impact Over Activity: How to stop being a "busybot" and start asking the difficult questions about why we are building in the first place.The Senior Human Unit Test: Building communities with integrity, leading with empathy, and staying balanced in a world that always wants more.Whether you are just getting into your career or a seasoned veteran, this episode is a masterclass in curiosity, craft, and the art of staying grounded while building the future.Podcast LinksWatch: ⁠⁠⁠⁠https://www.youtube.com/@alexa_griffith⁠⁠⁠⁠Read: ⁠⁠⁠⁠⁠⁠https://alexasinput.substack.com/⁠⁠⁠⁠⁠⁠Listen:⁠⁠ https://creators.spotify.com/pod/profile/alexagriffith/⁠⁠More: ⁠⁠⁠⁠https://linktr.ee/alexagriffith⁠⁠⁠⁠Website: ⁠⁠⁠⁠https://alexagriffith.com/⁠⁠⁠⁠LinkedIn: ⁠⁠⁠⁠https://www.linkedin.com/in/alexa-griffith/⁠⁠⁠⁠Find out more about the guest at:Bluesky: https://bsky.app/profile/kelseyhightower.comLinkedIn: https://www.linkedin.com/in/kelsey-hightower-849b342b1GitHub Profile: https://github.com/kelseyhightowerKubernetes the Hard Way: https://github.com/kelseyhightower/kubernetes-the-hard-wayNo Code (The minimalist project): https://github.com/kelseyhightower/nocodeKubernetes: Up and Running (Book): https://www.oreilly.com/library/view/kubernetes-up-and/9781492046523/Chapters00:00 Introduction and Background01:10 Transitioning from Engineer to Tech Philosopher04:00 The Importance of Being a Senior Human07:23 AI's Impact on People Skills10:12 The Future of Engineering in an AI World15:04 Navigating the AI Shift21:21 Finding Impact Over Activity25:47 Creating Meaningful Products29:57 The Power of Listening and Connection35:21 The Importance of Listening in Discussions35:55 Embracing the Learning Journey36:58 Understanding Imposter Syndrome39:33 Creating Supportive Learning Environments40:31 Learning in Public and Sharing Experiences41:31 Finding Your Own Voice43:26 The Power of Emotion in Presentations47:29 Crafting Engaging Stories48:40 Improvisation in Public Speaking55:10 The Evolution of Presentation Styles01:03:28 Legacy and Impact in the Tech Community

Tänases episoodis räägime, kuidas LHV pank liigub on-prem taristult pilve ning milliseid tehnilisi otsuseid see nõuab.Külas on Erik Erbach, LHV arhitekt, kes jagab praktilist kogemust AWS-i, Kubernetes'e, serverless-lahenduste ja andmeplatvormide kasutamisest panganduse kontekstis.Räägime, miks lift-and-shift ei ole lahendus, kuidas mõjutavad pilve kolimist elutähtsa teenuse nõuded, millised olid suurimad valukohad ning kus on juba näha selgeid tehnoloogilisi võite.-----Jaga meile enda jaoks olulisimat mõtet episoodist meie Discord kanalis: https://discord.gg/8X5JTkDxccEpisoodi veavad Priit Liivak ja Erik JõgiAlgorütmi toetavad LHV https://www.lhv.ee/Nortal https://nortal.com/Codeborne https://codeborne.com/

The industry has pivoted from scripting to automation to orchestration – and now to systems that can reason. Today we explore what AI agents mean for infrastructure with Chris Wade, Co-Founder and CTO of Itential. We also dive into the brownfield reality, the potential for vendor-specific LLMs trained on proprietary knowledge, and advice for the... Read more »

An airhacks.fm conversation with Alvaro Hernandez (@ahachete) about: discussion about LLMs generating Java code with BCE patterns and architectural rules, Java being 20-30% better for LLM code generation than python and typescript, embedding business knowledge in Java source code for LLM context, stackgres as a curated opinionated stack for running Postgres on kubernetes, Postgres requiring external tools for connection pooling and high availability and backup and monitoring, StackGres as a Helm package and Kubernetes operator, comparison with oxide hardware for on-premise cloud environments, experimenting with Incus for system containers and VMS, limitations of Ansible for infrastructure automation and code reuse, Kubernetes as an API-driven architecture abstracting compute and storage, Custom Resource Definitions (CRDs) for declarative Postgres cluster management, StackGres supporting sharding with automated multi-cluster deployment, 13 lines of YAML to create 60-node sharded clusters, three interfaces for StackGres including CRDs and web console and REST API, operator written in Java with quarkus unlike typical Go-based operators, Google study showing Java faster than Go, GraalVM native compilation for 80MB container images versus 400-500MB JVM images, fabric8 Kubernetes client for API communication, reconciliation cycle running every 10 seconds to maintain desired state, pod local controller as Quarkus sidecar for local Postgres operations, dynamic extension installation without rebuilding container images, grpc bi-directional communication between control plane and control nodes, inverse connection pattern where nodes initiate connections to control plane, comparison with Jini and JavaSpaces leasing concepts from Sun Microsystems, quarter million lines of Java code in the operator mostly POJOs predating records, PostgreSQL configuration validation with 300+ parameters, automated tuning applied by default in StackGres, potential for LLM-driven optimization with clone clusters for testing, Framework Computer laptop automation with Ubuntu auto-install and Ansible and Nix, five to ten minute full system reinstall including BIOS updates Alvaro Hernandez on twitter: @ahachete

Topics covered in this episode: port-killer How we made Python's packaging library 3x faster CodSpeed Extras Joke Watch on YouTube About the show Sponsored by us! Support our work through: Our courses at Talk Python Training The Complete pytest Course Patreon Supporters Connect with the hosts Michael: @mkennedy@fosstodon.org / @mkennedy.codes (bsky) Brian: @brianokken@fosstodon.org / @brianokken.bsky.social Show: @pythonbytes@fosstodon.org / @pythonbytes.fm (bsky) Join us on YouTube at pythonbytes.fm/live to be part of the audience. Usually Monday at 11am PT. Older video versions available there too. Finally, if you want an artisanal, hand-crafted digest of every week of the show notes in email form? Add your name and email to our friends of the show list, we'll never share it. Michael #1: port-killer A powerful cross-platform port management tool for developers. Monitor ports, manage Kubernetes port forwards, integrate Cloudflare Tunnels, and kill processes with one click. Features:

In this episode of Alexa's Input (AI), Alexa sits down with Joe Beda, co-creator of Kubernetes and one of the key figures behind modern cloud computing.Joe talks through his journey from big tech to founding a startup and back again, and what it actually takes to build systems that scale technically, organizationally, and emotionally. Joe shares the origin story of Kubernetes, what people often misunderstand about open source, and why infrastructure success sometimes comes with unexpected personal costs.They also discuss tradeoffs between shipping fast and getting it right, how incentives shape engineering culture, and why identity standards like SPIFFE/SPIRE is just now getting more attention. Joe gives a wide-ranging, honest look at infrastructure, innovation, and the people behind it.LinksWatch: ⁠⁠⁠⁠https://www.youtube.com/@alexa_griffith⁠⁠⁠⁠Read: ⁠⁠⁠⁠⁠⁠https://alexasinput.substack.com/⁠⁠⁠⁠⁠⁠Listen:⁠⁠ https://creators.spotify.com/pod/profile/alexagriffith/⁠⁠More: ⁠⁠⁠⁠https://linktr.ee/alexagriffith⁠⁠⁠⁠Website: ⁠⁠⁠⁠https://alexagriffith.com/⁠⁠⁠⁠LinkedIn: ⁠⁠⁠⁠https://www.linkedin.com/in/alexa-griffith/⁠⁠⁠⁠Find out more about the guest at:LinkedIn https://www.linkedin.com/in/jbeda/SPIFFE: https://spiffe.io/Kubernetes: https://kubernetes.io/Joe Beda Interview – Increment Magazinehttps://increment.com/containers/joe-beda-interview/Joe Beda on The Podlets Podcasthttps://thepodlets.io/episodes/006-joe-beda/GitLab Blog: Kubernetes & Community (Joe Beda)https://about.gitlab.com/blog/kubernetes-chat-with-joe-beda/KeywordsKubernetes, Joe Beda, cloud-native, open source, technology, Google, VMware, Heptio, AI, security standardsChapters00:00 Introduction to Joe Beda and Kubernetes02:50 Understanding Kubernetes: The Foundation of Modern Computing04:36 The Birth of Kubernetes: From Idea to Reality07:38 Internal Debates: Navigating Challenges at Google10:14 Key Innovations: What Sets Kubernetes Apart13:30 The Role of Community: Collaborating with Red Hat15:26 Design Challenges: Networking and Configuration Pain Points19:28 Joe's Journey: Transitioning from Microsoft to Google23:02 Navigating Corporate Politics: Influence and Success25:24 Career Growth: Balancing Company Success and Personal Development30:44 Navigating Industry Trends and Career Durability35:46 The Balance of Work and Life40:40 Understanding Burnout and Personal Ownership47:49 The Journey of Founding Heptio54:31 The Acquisition by VMware and Its Implications01:00:15 Authenticity in Sales and Motivation01:01:23 Career Transitions: From Engineer to Founder01:02:11 The Evolution of Perspective in Tech Careers01:04:26 Navigating the Challenges of Startup Life01:06:12 Post-Acquisition Dynamics at VMware01:09:52 Finding Purpose in Corporate Structures01:11:32 Philanthropy and Personal Values01:13:02 Open Source Contributions: Spiffy and Spire01:16:51 The State of Security Standards in AI01:22:12 Advising Principles and Green Flags in Startups

#332: AI adoption in enterprise software development is accelerating, but operations teams are lagging behind. While application developers embrace AI tools at a rapid pace, those on the ops side remain skeptical—citing concerns about determinism, control, and a general resistance to change. This mirrors previous technology waves like containers, cloud, and Kubernetes, where certain groups initially pushed back before eventually adapting. The prediction for 2026: AI will not see widespread adoption in operations despite its growing presence elsewhere in the software lifecycle. The bigger challenge facing organizations is not just adopting AI but transforming entire processes to take advantage of it. Improving just one piece of the software delivery pipeline—like development speed—only creates bottlenecks elsewhere. Companies cannot hand developers AI tools while keeping everything else the same and expect transformational results. The future points toward a world where experts bring their own AI agents to companies: personal toolsets trained on their experience and best practices that integrate with organizational systems. Perhaps the most provocative insight centers on the value of writing code itself. The argument: writing code is the easiest and least valuable part of software development. The real cognitive load comes from thinking through requirements, architecture, and design. Developers who simply translate instructions to code without deeper engagement may find themselves in real danger as AI continues to advance. Darin and Viktor explore these predictions and more as they look ahead to what 2026 might bring for DevOps, platform engineering, and the evolving role of developers.   YouTube channel: https://youtube.com/devopsparadox   Review the podcast on Apple Podcasts: https://www.devopsparadox.com/review-podcast/   Slack: https://www.devopsparadox.com/slack/   Connect with us at: https://www.devopsparadox.com/contact/

In this episode of the Ardan Labs Podcast, Bill Kennedy talks with Miles Spencer, founder of Reflekta, about using AI to preserve the stories and legacies of loved ones. Miles explains how Reflekta enables meaningful, ongoing conversations with elders through AI while prioritizing privacy, ethics, and emotional responsibility.They explore the technical foundations of the platform, the challenges of building trust around deeply personal data, and the business model behind Reflekta. Miles also shares his journey from high school to entrepreneurship and reflects on how technology can foster genuine human connection rather than replace it.00:00 Introduction 02:35 How Reflekta Uses AI05:10 Media Processing and Conversations08:26 Privacy, Security, and Ethics13:25 Miles' Background and Journey27:57 Early Entrepreneurship and Family Challenges36:49 Finance, Venture Capital, and Media44:57 New Ventures and Career Shifts56:54 COVID-19 and Business Impact01:00:04 The Birth of Reflekta01:09:03 Ethical Challenges and the Road AheadConnect with Miles: LinkedIn: https://www.linkedin.com/in/milesspencer/Mentioned in this Episode:Reflekta: https://reflekta.ai/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

Send us a textThe year felt like it stretched on forever, and in that extra space the networking world reshaped itself. We traded weekly cadence for deeper focus, shipped an AWS Advanced Networking book that the community embraced, and then watched the landscape pivot as vendors consolidated, clouds connected to each other, and AI hype met the hard edges of security and reliability.We dig into the acquisition wave with clear eyes: Arista picking up VeloCloud from Broadcom and what that means for SD‑WAN customers; HPE's Juniper deal clearing regulatory review and the open questions around Mist and portfolio strategy; and why Broadcom–VMware didn't trigger instant mass migrations, even as budgets and CSP support shifted. Then we chart the most surprising turn—AWS and Google offering a cross‑cloud link that's not a one‑off database play, but a general connective fabric. If pricing trends toward pipe capacity rather than per‑GB egress, multi‑cloud networking stops being a niche product pitch and becomes an operator reality. We even explore the idea of a Cloud Exchange Point, where automation snaps providers together at scale.AI was everywhere and still uneven. We call out real wins—friendlier automation workflows and eBPF‑powered visibility via Cisco's Isovalent acquisition—while laying out the unsolved work: agentic AI with least privilege, auditable actions, and enforceable data boundaries. Until those controls are standard, enterprises will limit autonomy and keep AI close to expert hands. Against the constant layoff drumbeat, we offer direct advice: build skills across cloud interconnects, Kubernetes networking, and eBPF telemetry; document outcomes in the language of cost and risk; and lean into community for opportunities and perspective.If you want a no‑nonsense guide to what changed, what actually matters, and how to prepare for a faster 2026, this one's for you. Subscribe, share with a teammate who needs signal over noise, and drop your take: which shift will shape your architecture next year?Purchase Chris and Tim's book on AWS Cloud Networking: https://www.amazon.com/Certified-Advanced-Networking-Certification-certification/dp/1835080839/ Check out the Monthly Cloud Networking Newshttps://docs.google.com/document/d/1fkBWCGwXDUX9OfZ9_MvSVup8tJJzJeqrauaE6VPT2b0/Visit our website and subscribe: https://www.cables2clouds.com/Follow us on BlueSky: https://bsky.app/profile/cables2clouds.comFollow us on YouTube: https://www.youtube.com/@cables2clouds/Follow us on TikTok: https://www.tiktok.com/@cables2cloudsMerch Store: https://store.cables2clouds.com/Join the Discord Study group: https://artofneteng.com/iaatj

This interview was recorded for the GOTO Book Club.http://gotopia.tech/bookclubCheck out more here:https://gotopia.tech/episodes/405Yevgeniy "Jim" Brikman - Author of "Fundamentals of DevOps and Software Delivery" & Co-Founder of GruntworkKief Morris - Author of "Infrastructure as Code" & Distinguished Engineer at ThoughtworksRESOURCESYevgeniy (Jim)https://bsky.app/profile/brikis98.bsky.socialhttps://twitter.com/brikis98https://github.com/brikis98/https://www.linkedin.com/in/jbrikmanhttps://www.ybrikman.comKiefhttps://bsky.app/profile/kief.comhttps://twitter.com/kiefhttps://github.com/kiefhttps://www.linkedin.com/in/kiefmorrishttps://infrastructure-as-code.comhttps://kief.comLinkhttps://terragrunt.gruntwork.ioDESCRIPTIONYevgeniy (Jim) Brikman, author of "Fundamentals of DevOps and Software Delivery", discusses his journey from app developer to DevOps advocate, triggered by LinkedIn's deployment crisis that required freezing all product development for months. The discussion with Kief Morris explores the practical definition of DevOps as efficient software delivery methodology, the relationship between infrastructure as code and application orchestration tools, the necessity of frameworks over custom wrapper scripts, and emerging paradigms including infrastructure from code, infrastructure as graph models, and interactive runbooks.Jim emphasizes that while new approaches are interesting, maturity and standardization in existing tools often provides more value than constantly chasing new technologies.RECOMMENDED BOOKSYevgeniy Brikman • Fundamentals of DevOps and Software Delivery • https://amzn.to/3WMPMFUYevgeniy Brikman • Terraform: Up and Running • https://amzn.to/4otpxQLYevgeniy Brikman • Hello, Startup • https://amzn.to/3JmV0VRKief Morris • Infrastructure as Code • https://amzn.to/4e6EBQcMauricio Salatino • Platform Engineering on Kubernetes • https://amzn.to/3X14qZKCharity Majors, Liz Fong-Jones & George Miranda • Observability Engineering • https://amzn.to/38scbmaBlueskyTwitterInstagramLinkedInFacebookCHANNEL MEMBERSHIP BONUSJoin this channel to get early access to videos & other perks:https://www.youtube.com/channel/UCs_tLP3AiwYKwdUHpltJPuA/joinLooking for a unique learning experience?Attend the next GOTO conference near you! Get your ticket: gotopia.techSUBSCRIBE TO OUR YOUTUBE CHANNEL - new videos posted daily!

We make our big Linux predictions for 2026, but first, we score how we did for 2025.Sponsored By:Managed Nebula: Meet Managed Nebula from Defined Networking. A decentralized VPN built on the open-source Nebula platform that we love. 1Password Extended Access Management: 1Password Extended Access Management is a device trust solution for companies with Okta, and they ensure that if a device isn't trusted and secure, it can't log into your cloud apps. CrowdHealth: Discover a Better Way to Pay for Healthcare with Crowdfunded Memberships. Join CrowdHealth to get started today for $99 for your first three months using UNPLUGGED.Unraid: A powerful, easy operating system for servers and storage. Maximize your hardware with unmatched flexibility. Support LINUX UnpluggedLinks:

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

Topics covered in this episode: Has the cost of building software just dropped 90%? More on Deprecation Warnings How FOSS Won and Why It Matters Should I be looking for a GitHub alternative? Extras Joke Watch on YouTube About the show Sponsored by us! Support our work through: Our courses at Talk Python Training The Complete pytest Course Patreon Supporters Connect with the hosts Michael: @mkennedy@fosstodon.org / @mkennedy.codes (bsky) Brian: @brianokken@fosstodon.org / @brianokken.bsky.social Show: @pythonbytes@fosstodon.org / @pythonbytes.fm (bsky) Join us on YouTube at pythonbytes.fm/live to be part of the audience. Usually Monday at 10am PT. Older video versions available there too. Finally, if you want an artisanal, hand-crafted digest of every week of the show notes in email form? Add your name and email to our friends of the show list, we'll never share it. HEADS UP: We are taking next week off, happy holiday everyone. Michael #1: Has the cost of building software just dropped 90%? by Martin Alderson Agentic coding tools are collapsing “implementation time,” so the cost curve of shipping software may be shifting sharply Recent programming advancements haven't been that great of a true benefit: Cloud, TDD, microservices, complex frontends, Kubernetes, etc. Agentic AI's big savings are not just code generation, but coordination overhead reduction (fewer handoffs, fewer meetings, fewer blocks). Thinking, product clarity, and domain decisions stay hard, while typing and scaffolding get cheap. Is it the end of software dev? Not really, see Jevons paradox: when production gets cheaper, total demand can rise rather than spending simply falling. (Historically: the efficiency of coal use led to the increased consumption of coal) Pushes back on “only good for greenfield” by arguing agents also help with legacy code comprehension and bug-fixing. I 100% agree. #Legacy code for the win. Brian #2: More on Deprecation Warnings How are people ignoring them? yep, it's right in the Python docs: -W ignore::DeprecationWarning Don't do that! Perhaps the docs should give the example of emitting them only once -W once::::DeprecationWarning See also -X dev mode , which sets -W default and some other runtime checks Don't use warn, use the @warnings.deprecated decorator instead Thanks John Hagen for pointing this out Emits a warning It's understood by type checkers, so editors visually warn you You can pass in your own custom UserWarning with category mypy also has a command line option and setting for this --enable-error-code deprecated or in [tool.mypy] enable_error_code = ["deprecated"] My recommendation Use @deprecated with your own custom warning and test with pytest -W error Michael #3: How FOSS Won and Why It Matters by Thomas Depierre Companies are not cheap, companies optimize cost control. They do this by making purchasing slow and painful. FOSS is/was a major unlock hack to skip procurement, legal, etc. Example is months to start using a paid “Add to calendar” widget! It “works both ways”: the same bypass lowers the barrier for maintainers too, no need for a legal entity, lawyers, liability insurance, or sales motion. Proposals that “fix FOSS” by reintroducing supply-chain style controls (he name-checks SBOMs and mandated processes) risk being rejected or gamed, because they restore the very friction FOSS sidesteps. Brian #4: Should I be looking for a GitHub alternative? Pricing changes for GitHub Actions The self-hosted runner pricing change caused a kerfuffle. It's has been postponed But… if you were to look around, maybe pay attention to These 4 GitHub alternatives are just as good—or better Codeburg, BitBucket, GitLab, Gitea And a new-ish entry, Tangled Extras Brian: End of year sale for The Complete pytest Course Use code XMAS2025 for 50% off before Dec 31 Writing work on Lean TDD book on hold for holidays Will pick up again in January Michael: PyCharm has better Ruff support now out of the box, via Daniel Molnar This is from the release notes of 2025.3: "PyCharm 2025.3 expands its LSP integration with support for Ruff, ty, Pyright, and Pyrefly.” If you check out the LSP section it will land you on this page and you can go to Ruff. The Ruff doc site was also updated. Previously it was only available external tools and a third party plugin, this feels like a big step. Fun quote I saw on ExTwitter: May your bug tracker be forever empty. Joke: Try/Catch/Stack Overflow Create a super annoying linkedin profile - From Tim Kellogg, submitted by archtoad

Drew Hagen, the release lead for Kubernetes 1.35, discusses the theme of the release, Timbernetes, which symbolizes resilience and diversity in the Kubernetes community. He shares insights from his experience as a release lead, highlights key features and enhancements in the new version, and addresses the importance of coordination in release management. Drew also touches on the deprecations in the release and the future of Kubernetes, including its applications in edge computing.   Do you have something cool to share? Some questions? Let us know: - web: kubernetespodcast.com - mail: kubernetespodcast@google.com - twitter: @kubernetespod - bluesky: @kubernetespodcast.com   Links from the interview Kubernetes v1.35: Timbernetes (The World Tree Release)  

Links James on LinkedIn (https://www.linkedin.com/in/jahuang/) Mike on LinkedIn (https://www.linkedin.com/in/dominucco/) Mike's Blog (https://dominickm.com) Show on Discord (https://discord.com/invite/k8e7gKUpEp) Alice Promo (https://go.alice.dev/data-migration-offer-hands-on) AI on Red Hat Enterprise Linux (RHEL) Trust and Stability: RHEL provides the mission-critical foundation needed for workloads where security and reliability cannot be compromised. Predictive vs. Generative: Acknowledging the hype of GenAI while maintaining support for traditional machine learning algorithms. Determinism: The challenge of bringing consistency and security to emerging AI technologies in production environments. Rama-Llama & Containerization Developer Simplicity: Rama-Llama helps developers run local LLMs easily without being "locked in" to specific engines; it supports Podman, Docker, and various inference engines like Llama.cpp and Whisper.cpp. Production Path: The tool is designed to "fade away" after helping package the model and stack into a container that can be deployed directly to Kubernetes. Behind the Firewall: Addressing the needs of industries (like aircraft maintenance) that require AI to stay strictly on-premises. Enterprise AI Infrastructure Red Hat AI: A commercial product offering tools for model customization, including pre-training, fine-tuning, and RAG (Retrieval-Augmented Generation). Inference Engines: James highlights the difference between Llama.cpp (for smaller/edge hardware) and vLLM, which has become the enterprise standard for multi-GPU data center inferencing.

Kubernetes is a popular container orchestration platform. Today’s IPv6 Buzz episode explores the benefits of using IPv6 in Kubernetes, and how Kubernetes uses IP addresses in both the control plane and data plane.We also address why the adoption rate is estimated to be so low, from default configurations to issues with non-IPv6-aware applications inside containers.... Read more »

Kubernetes is a popular container orchestration platform. Today’s IPv6 Buzz episode explores the benefits of using IPv6 in Kubernetes, and how Kubernetes uses IP addresses in both the control plane and data plane.We also address why the adoption rate is estimated to be so low, from default configurations to issues with non-IPv6-aware applications inside containers.... Read more »

GPUs dominate today's AI landscape, but Google argues they are not necessary for every workload. As AI adoption has grown, customers have increasingly demanded compute options that deliver high performance with lower cost and power consumption. Drawing on its long history of custom silicon, Google introduced Axion CPUs in 2024 to meet needs for massive scale, flexibility, and general-purpose computing alongside AI workloads. The Axion-based C4A instance is generally available, while the newer N4A virtual machines promise up to 2x price performance.In this episode, Andrei Gueletii, a technical solutions consultant for Google Cloud joined Gari Singh, a product manager for Google Kubernetes Engine (GKE), and Pranay Bakre, a principal solutions engineer at Arm for this episode, recorded at KubeCon + CloudNativeCon North America, in Atlanta. Built on Arm Neoverse V2 cores, Axion processors emphasize energy efficiency and customization, including flexible machine shapes that let users tailor memory and CPU resources. These features are particularly valuable for platform engineering teams, which must optimize centralized infrastructure for cost, FinOps goals, and price performance as they scale.Importantly, many AI tasks—such as inference for smaller models or batch-oriented jobs—do not require GPUs. CPUs can be more efficient when GPU memory is underutilized or latency demands are low. By decoupling workloads and choosing the right compute for each task, organizations can significantly reduce AI compute costs.Learn more from The New Stack about the Axion-based C4A: Beyond Speed: Why Your Next App Must Be Multi-ArchitectureArm: See a Demo About Migrating a x86-Based App to ARM64Join our community of newsletter subscribers to stay on top of the news and at the top of your game.  Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Most enterprises today run workloads across multiple IT infrastructures rather than a single platform, creating significant operational challenges. According to Nutanix CTO Deepak Goel, organizations face three major hurdles: managing operational complexity amid a shortage of cloud-native skills, migrating legacy virtual machine (VM) workloads to microservices-based cloud-native platforms, and running VM-based workloads alongside containerized applications. Many engineers have deep infrastructure experience but lack Kubernetes expertise, making the transition especially difficult and increasing the learning curve for IT administrators. To address these issues, organizations are turning to platform engineering and internal developer platforms that abstract infrastructure complexity and provide standardized “golden paths” for deployment. Integrated development environments (IDEs) further reduce friction by embedding capabilities like observability and security. Nutanix contributes through its hyper converged platform, which unifies compute and storage while supporting both VMs and containers. At KubeCon North America, Nutanix announced version 2.0 of Nutanix Data Services for Kubernetes (NDK), adding advanced data protection, fault-tolerant replication, and enhanced security through a partnership with Canonical to deliver a hardened operating system for Kubernetes environments.Learn more from The New Stack about operational complexity in cloud native environments:Q&A: Nutanix CEO Rajiv Ramaswami on the Cloud Native Enterprise Kubernetes Complexity Realigns Platform Engineering Strategy Platform Engineering on the Brink: Breakthrough or Bust? Join our community of newsletter subscribers to stay on top of the news and at the top of your game. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Janet Kuo, Staff Software Engineer at Google, explains the new Kubernetes AI Conformance program.   Do you have something cool to share? Some questions? Let us know: - web: kubernetespodcast.com - mail: kubernetespodcast@google.com - twitter: @kubernetespod - bluesky: @kubernetespodcast.com   Intro KubeCon North America 2025 Kubernetes AI Conformance program News of the Week Kubernetes 1.35 release Sneak Peek Helm4 Google Cloud Achieves Massive Kubernetes Scale with 130,000-Node GKE Cluster                   Azure Kubernetes Service (AKS) AI Conformance AKS Ingress Nginx Update AKS Automatic managed system node pools Amazon EKS Introduces New Managed Kubernetes Capabilities for Workload Orchestration KubeCon NA 2025 Retrospective: Closed- And Open-Source Battle For The AI-Native Cloud CNCF Launches Certified Kubernetes AI Conformance Program Agentic AI Foundation (AAIF) Established to Standardize Agent Collaboration KServe Joins CNCF as a Sandbox Project OpenFGA accepted as CNCF Incubating Project Lima accepted as CNCF Incubation Project Lima v2.0 Released with Secure AI Workflows KubeCon Cloud Native Con Europe 2026   Links from the interview   Kubernetes Software Conformance program kubectl Dynamic Resource Allocation (DRA) API Kubernetes WG AI Conformance Kubernetes SIG Architecture Kubernetes SIG Testing  

In this episode of the Ardan Labs Podcast, Bill Kennedy talks with Peter Swimm, founder of Toilville, about the future of AI and workplace automation. Peter shares insights from his long career in technology—from Microsoft to building large-scale conversational AI systems—and discusses the growing need for strong governance around AI usage. They explore privacy and IP concerns, the pitfalls of “vibe coding,” and why documentation and trust logs are essential for safe and effective AI adoption. The conversation also dives into generational shifts in education, the impact of COVID-19 on the job market, and how AI can enhance productivity without replacing authenticity.00:00 Introduction03:09 AI and Workplace Automation05:51 Privacy, IP, and Safety Concerns08:50 Vibe Coding and Development Challenges12:04 Governance and Compliance14:49 Evolution of AI Tools20:53 Early Tech Experiences31:28 Cultural Perspectives on AI36:31 AI and the Future of Education42:44 Career Paths and Experience50:54 Early Conversational AI56:15 COVID-19 and Contact Centers59:00 AI's Future in Business01:02:42 From Microsoft to Entrepreneurship01:13:44 Navigating the AI Landscape01:28:02 Empowering Businesses with AI SolutionsConnect with Peter: LinkedIn: https://www.linkedin.com/in/peterswimm/Mentioned in this Episode:Toilville: https://www.toilville.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

Open source projects benefit from support that takes many shapes. Kat Cosgrove shares her experience across the Kubernetes project and the different ways people can make meaningful contributions to it. One of the underlying themes is that code is written for other people. That means PRs need to be understandable, discussions need to be enlightening, documentation needs to be clear, and collaboration needs to cross all sorts of boundaries. Visit https://www.securityweekly.com/asw for all the latest episodes! Show Notes: https://securityweekly.com/asw-361

Open source projects benefit from support that takes many shapes. Kat Cosgrove shares her experience across the Kubernetes project and the different ways people can make meaningful contributions to it. One of the underlying themes is that code is written for other people. That means PRs need to be understandable, discussions need to be enlightening, documentation needs to be clear, and collaboration needs to cross all sorts of boundaries. Show Notes: https://securityweekly.com/asw-361

In this episode of Hands-On IT, Landon Miles explores the history of servers and enterprise IT infrastructure, from early mainframe computers to cloud computing, Linux servers, virtualization, containers, and AI-driven data centers.This episode connects decades of server evolution into a clear, accessible story, focusing on the people, technologies, and ideas that shaped modern computing. From IBM's System/360 and minicomputers, to Unix and Linux, virtualization, cloud platforms like AWS and Azure, and container orchestration with Docker and Kubernetes, this episode explains how servers became the foundation of today's digital world.Topics covered include: • Server history and early computing systems • IBM mainframes and enterprise computing • Minicomputers and distributed computing • Unix, Linux, and open-source software • Virtualization and data center efficiency • Cloud computing and hyperscale infrastructure • Docker, Kubernetes, and cloud-native architecture • AI workloads, GPUs, and modern server hardwareLandon also highlights key figures in computing history, including Grace Hopper, Ken Olsen, Linus Torvalds, Dave Cutler, Diane Greene, and Jeff Bezos, and explains how their work still influences IT operations today.This episode is part of our December Best Of series, featuring some of our favorite moments and episodes from the past year.Originally aired March 20, 2025.

Open source projects benefit from support that takes many shapes. Kat Cosgrove shares her experience across the Kubernetes project and the different ways people can make meaningful contributions to it. One of the underlying themes is that code is written for other people. That means PRs need to be understandable, discussions need to be enlightening, documentation needs to be clear, and collaboration needs to cross all sorts of boundaries. Visit https://www.securityweekly.com/asw for all the latest episodes! Show Notes: https://securityweekly.com/asw-361

What if your data platform could serve AI-native workloads while scaling reliably across your entire organization? In this episode, Benjamin sits down with Ritesh, Staff Engineer at Lyft, to explore how to build a unified data stack with Spark, Trino, and ClickHouse, why AI is reshaping infrastructure decisions, and the strategies powering one of the industry's most sophisticated data platforms. Whether you're architecting data systems at scale or integrating AI into your analytics workflow, this conversation delivers actionable insights into reliability, modernization, and the future of data engineering. Tune in to discover how Lyft is balancing open-source investments with cutting-edge AI capabilities to unlock better insights from data.

Notas y referencias en https://www.tierradehackers.com/episodio-140 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

Alex Kretzschmar joins Adam for a trip down the Linux rabbit hole -- Docker vs Podman, building a Kubernetes cluster, ZFS backups with zfs.rent, bootc, favorite Linux distros, new homelab tools built with AI, self-hosting Immich, content creation, Plex and Jellyfin, the future of piracy and more.

How to connect your public environments across clouds and into your datacenter infrastructure – using official options, VPNs and new ideas like mTLS. Plus container networking, CNIs and other ways to plug extras into Kubernetes. Antigravity A1 The Antigravity A1 is the world's first all-in-one 8K 360 drone. It’s a real game-changer. You get full immersive flight with the goggles, intuitive controls, and endless creative freedom in editing. If you're thinking about buying a drone, make it this one. Learn more at antigravity.tech Support us on patreon and get an ad-free RSS feed with early episodes sometimes Subscribe to the RSS feed.

What do conference planning, hacking weddings, and cat-free coding sessions have to do with Postgres? In Episode 34 of Talking Postgres, Melanie Plageman—Postgres committer and major contributor from Microsoft—joins Claire for a lively deep dive into what developers can expect at PGConf.dev 2026 as Postgres turns 30. We explore new content formats, the role of travel grants, why Tuesday becomes a full conference day, and how the hallway track often shapes the next Postgres release. Plus: creating space for new contributors to get inspired and get involved. And yes—the CFP is open until Jan 16, 2026.Links mentioned in this episode:Podcast: Becoming a Postgres committer with Melanie PlagemanPodcast: How I got started as a dev and in Postgres with Melanie Plageman & Thomas MunroConference: PGConf.dev 2026CFP for PGConf.dev: CFP will close on Jan 16, 2026PGConf.dev 2026: AboutPGConf.dev 2026: Sponsorship levelsPGConf.dev 2026: Travel grant programSocial: LinkedIn account for PGConf.devPOSETTE: An Event for Postgres: POSETTE CFP is open until Feb 1, 2026Meetup: Post about inaugural PostgreSQL Nairobi Meetup in Dec 2025 PGDay Lowlands 2025: Debate on Kubernetes, session detailsPGDay Lowlands 2025: Debate about autotuning, session detailsConference talk at PGCon 2019: Intro to Postgres Planner Hacking, by Melanie PlagemanBlog post: The Pac-Man Rule at Conferences, by Eric HolsherDiscord invite for PostgreSQL Hacking Mentoring server: https://discord.gg/bx2G9KWyrYCal invite: LIVE recording of Ep35 of Talking Postgres to happen on Wed Jan 14, 2026

Alex Kretzschmar joins Adam for a trip down the Linux rabbit hole -- Docker vs Podman, building a Kubernetes cluster, ZFS backups with zfs.rent, bootc, favorite Linux distros, new homelab tools built with AI, self-hosting Immich, content creation, Plex and Jellyfin, the future of piracy and more.

Possible exploit variant for CVE-2024-9042 (Kubernetes OS Command Injection) We observed HTTP requests with our honeypot that may be indicative of a new version of an exploit against an older vulnerability. Help us figure out what is going on. https://isc.sans.edu/diary/Possible%20exploit%20variant%20for%20CVE-2024-9042%20%28Kubernetes%20OS%20Command%20Injection%29/32554 React2Shell: Technical Deep-Dive & In-the-Wild Exploitation of CVE-2025-55182 Wiz has a writeup with more background on the React2Shell vulnerability and current attacks https://www.wiz.io/blog/nextjs-cve-2025-55182-react2shell-deep-dive Notepad++ Update Hijacking Notepad++ s vulnerable update process was exploited https://notepad-plus-plus.org/news/v889-released/ New macOS PackageKit Privilege Escalation A PoC was released for a new privilege escalation vulnerability in macOS. Currently, there is no patch. https://khronokernel.com/macos/2024/06/03/CVE-2024-27822.html

Nvidia Distinguished Engineer Kevin Klues noted that low-level systems work is invisible when done well and highly visible when it fails — a dynamic that frames current Kubernetes innovations for AI. At KubeCon + CloudNativeCon North America 2025, Klues and AWS product manager Jesse Butler discussed two emerging capabilities: dynamic resource allocation (DRA) and a new workload abstraction designed for sophisticated AI scheduling.DRA, now generally available in Kubernetes 1.34, fixes long-standing limitations in GPU requests. Instead of simply asking for a number of GPUs, users can specify types and configurations. Modeled after persistent volumes, DRA allows any specialized hardware to be exposed through standardized interfaces, enabling vendors to deliver custom device drivers cleanly. Butler called it one of the most elegant designs in Kubernetes.Yet complex AI workloads require more coordination. A forthcoming workload abstraction, debuting in Kubernetes 1.35, will let users define pod groups with strict scheduling and topology rules — ensuring multi-node jobs start fully or not at all. Klues emphasized that this abstraction will shape Kubernetes' AI trajectory for the next decade and encouraged community involvement.Learn more from The New Stack about dynamic resource allocation: Kubernetes Primer: Dynamic Resource Allocation (DRA) for GPU WorkloadsKubernetes v1.34 Introduces Benefits but Also New Blind SpotsJoin our community of newsletter subscribers to stay on top of the news and at the top of your game.   Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

In this year-end episode, William and Eyvonne recap their experiences at AutoCon 4 in Austin, Texas. They discuss the conference’s new multi-track format, including Eyvonne’s presentation in the leadership track on why technical projects fail. The conversation dives into how AI tools like Google Gemini can augment – not replace – human creativity, from research... Read more »

 In this episode, Scott talks with Eric Mann about Kubernetes and how Displace Technologies is making it easier to work with. Links: Our Discord – https://discord.gg/aMTxunVx Buy our shirts – https://store.phparch.com/products/community-corner-podcast-t-shirt Scott’s Social Media: Website – https://scott.keck-warren.com/ Bluesky – https://bsky.app/profile/scottkeckwarren.bsky.social LinkedIn – https://www.linkedin.com/in/scott-keck-warren-91689810/ Mastodon – https://phpc.social/@scottkeckwarren PHP Architect Social Media: X: https://x.com/phparch Mastodon: https://phparch.social/@phparch Bluesky: https://bsky.app/profile/phparch.com Discord: https://discord.phparch.com Subscribe to our magazine: https://www.phparch.com/subscribe/ Partner This podcast is made a little better thanks to our partners. Displace Infrastructure Management, Simplified Automate Kubernetes deployments across any cloud provider or bare metal with a single command. Deploy, manage, and scale your infrastructure with ease. https://displace.tech/ PHPScore Put Your Technical Debt on Autopay with PHPScore https://phpscore.com/ Honeybadger.io Honeybadger helps you deploy with confidence and be your team's DevOps hero by combining error, uptime, and performance monitoring in one simple platform. Check it out at honeybadger.io Music Provided by Epidemic Sound https://www.epidemicsound.com/ The post Community Corner: Kubernetes With Eric Mann appeared first on PHP Architect.

Welcome to episode 334 of The Cloud Pod, where the forecast is always cloudy! This week, we're bringing you a jam-packed recap of re:Invent! We've got all the news, from keynotes to announcements. Whether you were there live or catching up on all the news, Justin, Matt, and Ryan are here to break it all down. Let's get started!  Titles we almost went with this week EKS Gets Chatty: Natural Language Replaces Command Line Nightmares Harvest Now, Decrypt Later: Why Your RSA Keys Need a Quantum Makeover Before 2026 NAT So Fast: AWS Helps You Find Gateways Doing Absolutely Nothing AWS Finally Admits You Have Too Many Log Buckets AWS Finally Lets You Log In Like a Normal Human Lambda Gets a Memory: Checkpoint Your Way to Multi-Step Workflows Step Functions at Home: Lambda Durable Functions Let You Write Workflows in Actual Code No More Bucket List: S3 Public Access Gets Organization-Wide Lockdown AWS Hits Ctrl-Z on CodeCommit Deprecation AWS Puts a Cap on CloudFront: Unlimited Traffic, Limited Anxiety AWS Tells SQL Server to Take a Thread Off: Optimize CPU Cuts Costs by 55% Amazon Bedrock Gets a Bouncer: AgentCore Identity Checks IDs at the Door AI Brings on the Developer Renaissance Follow Up  01:27 re:Invent  Matt Garman- 14th Reinvent, which is weird, since we've been doing cloud stuff for 87 years… Warner – Open Mind for a different View and nothing else matters T-shirt. 02:59 re:Invent predictions Jonathan Serverless GPU support (extension in Lambda or a different service), it’s about time we have a serverless GPU/Inference capability. It is talked about in the keynote with DeSantis. AI Agent with a goal/instructions that can run when they need to, periodically, or always, and perform an action (Agentic Platform that runs agents) –  Garman – Bedrock AgentCore and Kiro Autonomous Agent Werner will announce this is his last keynote and he will retire He retired from re:Invent Presentations Ryan New Tranium 3 chips, Inferentia, and Graviton chips Garman – announced Tranium 3 Ultraservers. They brought the Rack Ryan Expand the number of models in or via bedrock Doubled the number of models and announced Gemma, Minimax M2, Nvidia Nemotron, Mistral Large, and Mistral 3

In this sponsored episode recorded live at AutoCon 4 in Austin, we sit down with Peter Sprygada, Chief Architect at Itential, to discuss Itential’s on-stage announcement of FlowAI. Peter shares his journey from network engineering skeptic to AI advocate, explaining how Itential securely connects AI agents to infrastructure with enterprise-grade governance and traceability. We dive... Read more »

We pull on a few loose threads from recent episodes, and some of them unravel into way more than we expected.Sponsored By:Managed Nebula: Meet Managed Nebula from Defined Networking. A decentralized VPN built on the open-source Nebula platform that we love. 1Password Extended Access Management: 1Password Extended Access Management is a device trust solution for companies with Okta, and they ensure that if a device isn't trusted and secure, it can't log into your cloud apps. CrowdHealth: Discover a Better Way to Pay for Healthcare with Crowdfunded Memberships. Join CrowdHealth to get started today for $99 for your first three months using UNPLUGGED.Unraid: A powerful, easy operating system for servers and storage. Maximize your hardware with unmatched flexibility. Support LINUX UnpluggedLinks:

As the Thanksgiving weekend passes, let's look at some technology things that we're thankful for and excited about. SHOW: 980SHOW TRANSCRIPT: The Cloudcast #980 TranscriptSHOW VIDEO: https://youtube.com/@TheCloudcastNET CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotwCHECK OUT OUR NEW PODCAST: "CLOUDCAST BASICS"SHOW SPONSORS:[Mailtrap] Try Mailtrap for free[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 NOTESTHINGS TO BE THANKFUL FOR:Thankful for healthHappy Birthday to ChatGPTThe feature on an iPhone that remembers the code sent in an SMS messageRole playing, brain storming, scenario planning on ChatGPT/GeminiTools like Vercel that let non-programmers use AI to build apps (the future of PaaS)Tools like NotebookLM making complex stuff like LLM training, RAG patterns,  True competition in the cloud market as differentiation emergesThe beginnings of alternatives to NVIDIA in the AI HW Acceleration marketThe evolution of wearables like fitness trackers, or AirPods (better sound quality, noise cancelling, language translation, etc.) FEEDBACK?Email: show at the cloudcast dot netTwitter/X: @cloudcastpodBlueSky: @cloudcastpod.bsky.socialInstagram: @cloudcastpodTikTok: @cloudcastpod

Recorded live at AutoCon4, William Collins and Eyvonne Sharp join forces with John Capobianco for some in the moment thoughts and reflections on the AutoCon experience – from the in-person connections to the workshops to the stage presentations.  John gives us the inside story on his very own workshop and the latest version releases in... Read more »

Evan Kaplan (@EvanKaplan, CEO @InfluxDB) talks about Physical AI and the evolving and emerging technologies required to bring AI to physical locations and activities. SHOW: 979SHOW TRANSCRIPT: The Cloudcast #979 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/cloudcast[Mailtrap] Try Mailtrap for freeSHOW NOTES:InfluxData homepageEvan on The Cloudcast #394SpaceNews article on Time Series and AI in SpaceTime Series is critical to Physical AITopic 1 - Welcome back to the show, Evan. Give everyone a brief introduction.Topic 2 - We last spoke in 2019, and our goal with that show was to give everyone an introduction to time series databases. There's a link in the show notes for those who want to go back and get a refresher. But, if folks aren't up to speed, give everyone a quick definition of time series and its impacts in recent yearsTopic 3 - First, we need to discuss Physical AI. What is Physical AI, and how is it different from, say, GenAI or Agentic AI? It seems that AI in the mainstream equates LLMs with AI, but that isn't correct. We are talking about deterministic AI, not probabilistic solutions. Can you explain to everyone the difference and why it matters?Topic 4 - Why is the concept of time series so crucial to Physical AI? Additionally, you provided a great analogy comparing time series data collection to low-resolution and high-resolution images. Can you explain to everyone why this is so important?Topic 5 - Let's talk about some use cases. How and where does this intersection of Physical AI and time series impact organizations the most? Is this specific to certain industries (robotics, aerospace, IoT, etc.) or specific collection mechanisms (telemetry, sensor data, etc.)Topic 6 - Are we shifting with AI to a state that is less reactive and more proactive with an active intelligence?Topic 7 - What kind of demands do real-time, modern workflows and data streaming place on the infrastructure? When I think of time series, I think of real-time data, which means ultra-low latency and processing near the source, among other things. FEEDBACK?Email: show at the cloudcast dot netBluesky: @cloudcastpod.bsky.socialTwitter/X: @cloudcastpodInstagram: @cloudcastpodTikTok: @cloudcastpod

When you co-create Kubernetes, you earn the right to have strong opinions on the next platform shift. This week, Ben sits down with Craig McLuckie, Co-founder & CEO of Stacklok, who is advocating for a shift in leadership mindset. He argues we need to move from asking if we can use AI to demanding to know why we can't. Listen to hear why he believes an "AI maximalist" philosophy is the only way to survive the next cycle.LinearB: Measure the impact of GitHub Copilot and CursorFollow the show:Subscribe to our Substack Follow us on LinkedInSubscribe to our YouTube ChannelLeave us a ReviewFollow the hosts:Follow AndrewFollow BenFollow DanFollow today's guest(s):Connect with Craig McLuckie: LinkedInCheck out Stacklok: Stacklok WebsiteOFFERS Start Free Trial: Get started with LinearB's AI productivity platform for free. Book a Demo: Learn how you can ship faster, improve DevEx, and lead with confidence in the AI era. LEARN ABOUT LINEARB AI Code Reviews: Automate reviews to catch bugs, security risks, and performance issues before they hit production. AI & Productivity Insights: Go beyond DORA with AI-powered recommendations and dashboards to measure and improve performance. AI-Powered Workflow Automations: Use AI-generated PR descriptions, smart routing, and other automations to reduce developer toil. MCP Server: Interact with your engineering data using natural language to build custom reports and get answers on the fly.

Once again NVIDIA had a record earnings quarter (Q3FY26), but the strength of their on-going success will be dependent on many factors that may or may not be within their control. Let's explore those broader factors.SHOW: 978SHOW TRANSCRIPT: The Cloudcast #978 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[Mailtrap] Try Mailtrap for free[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:NVIDIA Earnings (Q3FY2026 - November 2025)WHAT WILL BE THE NEW METRICS AND MILESTONES TO TRACK?Customer Revenues (e.g. CoreWeave, OpenAI)“Alternatives” Revenues (e.g. Google/TPUs, AMD, China, etc.)Customer Success Stories (%ROI, Business Differentiation, Business Acceleration)Growth of Data Centers (e.g. buildouts, zoning approvals, etc.)Electricity Buildouts (e.g. nuclear, coal, alternative, regulatory changes, municipality adoption)Accounting Deep-Dives into NVIDIA (not fraud, but days receivables, inventory buybacks, etc.)$500B in back orders (Oracle, Microsoft, OpenAI, GrokAI)FEEDBACK?Email: show at the cloudcast dot netTwitter/X: @cloudcastpodBlueSky: @cloudcastpod.bsky.socialInstagram: @cloudcastpodTikTok: @cloudcastpod