Podcasts about Kubernetes

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

In aflevering 124 van De Nederlandse Kubernetes Podcast bespreken Jan Stomphorst en Ronald Kers de nieuwste Kubernetes-release: versie 1.35. Dit keer geen volledige lijst met alle wijzigingen, maar een bewuste keuze voor impactvolle features die in de praktijk het verschil maken.Een van de eerste onderwerpen is Image Max Age, een nieuwe kubelet-optie waarmee je expliciet kunt bepalen hoe lang ongebruikte container images op nodes blijven staan. Dit helpt bij het voorkomen van volle disks, onverwachte opruimacties en onnodige image downloads, vooral in grote clusters.Daarna komt Max Parallel Image Pulls aan bod. Deze feature voorkomt zogeheten image pull storms wanneer veel nodes tegelijkertijd een nieuwe image moeten downloaden. Door het pullgedrag te limiteren, blijven clusters stabieler en worden registries minder zwaar belast.Ook Dynamic Resource Allocation (DRA) krijgt aandacht. Hiermee kunnen resources buiten CPU en geheugen, zoals GPU's en andere gespecialiseerde hardware, beter en veiliger worden toegewezen aan workloads. Kubernetes 1.35 voegt bovendien verbeterde foutmeldingen toe, waardoor het veel duidelijker wordt waarom een workload niet start.Tot slot bespreken Jan en Ronald verbeteringen rond StatefulSets, waaronder meer controle over parallelle updates. Dit maakt updates van databases en andere stateful workloads sneller en beter voorspelbaar.Kortom: Kubernetes 1.35 laat zien dat de focus steeds meer ligt op stabiliteit, schaalbaarheid en real-world operaties, in plaats van alleen nieuwe features toevoegen.Stuur ons een bericht.ACC ICT Specialist in IT-CONTINUÏTEIT Bedrijfskritische applicaties én data veilig beschikbaar, onafhankelijk van derden, altijd en overalSupport the showLike and subscribe! It helps out a lot.You can also find us on:De Nederlandse Kubernetes Podcast - YouTubeNederlandse Kubernetes Podcast (@k8spodcast.nl) | TikTokDe Nederlandse Kubernetes PodcastWhere can you meet us:EventsThis Podcast is powered by:ACC ICT - IT-Continuïteit voor Bedrijfskritische Applicaties | ACC ICT

In 2026, security is no longer a final checkpoint; it is the very foundation of the code you write. With global cybercrime costs crossing the $10.5 trillion mark, the industry has moved toward a "Secure-by-Design" mandate. This episode dives into the DevSecOps revolution: the art of bridging the gap between rapid innovation and stringent regulatory compliance (GDPR, HIPAA, SOC-2). We explore the specialized tools that transform compliance from a manual bottleneck into an automated, self-running process within your CI/CD pipeline.

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.

No novo episódio do LowOpsCast, recebemos Eduardo Munari (https://www.linkedin.com/in/emunari/), Staff Technical Product Manager, CNCF Golden Kubestronaut, e uma das maiores referências em Platform Engineering, Cloud e Containers no Brasil.Com passagens por Itaú Unibanco, CI&T e atualmente como Staff Technical Product Manager na Stone, o Munari liderou times, construiu plataformas de larga escala, e ajudou empresas gigantes a entregarem mais rápido, com menos dor de cabeça e muito mais observabilidade.Nesse papo sincero e técnico (do jeito que a gente gosta), falamos sobre:Como realmente funciona a Engenharia de Plataforma por dentro das empresasOs bastidores de operar mais de mil clusters sem perder o juízoO que é ser de fato um engenheiro de plataforma (e não só “rodar Terraform e ArgoCD”)A relação entre DevEx, SRE e caos controladoE o que o futuro reserva pra quem vive no mundo Cloud NativeSe você trabalha com Kubernetes, Cloud, DevOps, SRE ou só quer entender como tudo isso se conecta, esse episódio é obrigatório.É papo técnico, real e com aquele tempero que só quem vive plataforma no dia a dia entende.

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 »

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.

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.

Tooltips (Tüddelkrams) für Container, Kubernetes und Lets Encrypt/ACME mit Felix, Moritz und Volkmar vom FOCUS ON: DevOps Podcast.Im Engineering-Kiosk-Adventskalender 2025 sprechen befreundete Podcaster⋅innen und wir selbst, Andy und Wolfi, jeden Tag kurz & knackig innerhalb weniger Minuten über ein interessantes Tech-Thema.Unsere aktuellen Werbepartner findest du auf https://engineeringkiosk.dev/partnersDas schnelle Feedback zur Episode:

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

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

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.

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

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.

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.

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.

Damien Lucas explore les enjeux de souveraineté, de puissance de calcul et d'indépendance technologique à l'heure où l'IA redéfinit le marché du cloud pour les entreprises.Interview : Damien Lucas, CEO de ScalewayEn quoi l'adoption massive de l'IA change-t-elle les besoins des entreprises dans le cloud ?L'IA transforme avant tout la manière dont nos clients utilisent leurs données. Pour entraîner ou exploiter des modèles, il faut rapprocher l'IA de la data. Comme le rappelle souvent l'industrie, envoyer toutes ses données chez des acteurs extérieurs comme OpenAI n'est pas viable à long terme : cette data est stratégique. Notre rôle, chez Scaleway, est donc de fournir un cloud souverain, immunisé aux lois extraterritoriales et indépendant des technologies américaines, afin que les entreprises développent leurs infrastructures IA sans compromis.Comment Scaleway renforce-t-il sa capacité technologique face à la demande croissante en puissance de calcul ?Nous investissons massivement dans les GPU, désormais indispensables aux grands modèles de langage et à des usages émergents comme l'agentique ou la robotique. Nous avons été les premiers en Europe à proposer les nouveaux GPU NVIDIA Blackwell B300. En parallèle, nous soutenons l'écosystème européen : les modèles d'agentique développés par la startup française H sont par exemple disponibles dans notre cloud. Notre réseau de data centers — de Paris à Stockholm, en passant bientôt par Berlin — garantit une haute disponibilité tout en maintenant une souveraineté forte.Quelles sont les raisons concrètes qui poussent une entreprise à choisir Scaleway plutôt qu'un hyperscaler américain ?Trois raisons principales reviennent. D'abord, la souveraineté : nos clients veulent éviter la dépendance aux technologies américaines comme AWS ou Google Cloud, et protéger leurs données des lois extra-européennes. Ensuite, le prix : nous sommes significativement moins chers, notamment parce que nous ne facturons pas les egress fees, ces frais de sortie que les hyperscalers imposent systématiquement. Enfin, nous couvrons 90 % des besoins cloud du marché grâce à une offre d'environ 200 produits, bien plus simple à maîtriser que les 600 services proposés par AWS.La migration depuis AWS ou Google Cloud est-elle réellement accessible pour une startup ou une grande organisation ?Oui, très clairement. Si l'entreprise a adopté des standards modernes comme Kubernetes, Terraform ou une architecture microservices, la migration est fluide : on traduit l'infrastructure existante et on la redéploie chez Scaleway. Le frein principal est financier : comme lors d'un déménagement physique, le double loyer pèse lourd. C'est pourquoi nous proposons une “franchise de loyer”, avec plusieurs mois gratuits pour absorber la période de transition et éviter les coûts doublés.L'Europe a-t-elle encore une chance de devenir un acteur majeur du cloud ?Absolument. La transformation induite par l'IA représente une rupture technologique qui pousse toutes les entreprises à reconsidérer leur fournisseur cloud pour les années à venir. Les acteurs européens existent, la technologie est là, et les signaux politiques — comme ceux du sommet franco-allemand sur la souveraineté numérique — montrent une prise de conscience forte. Avec trois ou quatre champions solides, l'Europe peut tout à fait rivaliser avec les États-Unis. Il ne manque plus que la commande publique et privée pour accélérer cette dynamique.-----------♥️ Soutien : https://mondenumerique.info/don

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.

At KubeCon North America 2025, GitLab's Emilio Salvador outlined how developers are shifting from individual coders to leaders of hybrid human–AI teams. He envisions developers evolving into “cognitive architects,” responsible for breaking down large, complex problems and distributing work across both AI agents and humans. Complementing this is the emerging role of the “AI guardian,” reflecting growing skepticism around AI-generated code. Even as AI produces more code, humans remain accountable for reviewing quality, security, and compliance.Salvador also described GitLab's “AI paradox”: developers may code faster with AI, but overall productivity stalls because testing, security, and compliance processes haven't kept pace. To fix this, he argues organizations must apply AI across the entire development lifecycle, not just in coding. GitLab's Duo Agent Platform aims to support that end-to-end transformation.Looking ahead, Salvador predicts the rise of a proactive “meta agent” that functions like a full team member. Still, he warns that enterprise adoption remains slow and advises organizations to start small, build skills, and scale gradually.Learn more from The New Stack about the evolving role of "cognitive architects":The Engineer in the AI Age: The Orchestrator and ArchitectThe New Role of Enterprise Architecture in the AI EraThe Architect's Guide to Understanding Agentic AIJoin 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.

NGINX Ingress Controller уходит на пенсию к 2026-му Что делать если у вас в Kubernetes десятки и сотни сервисов? В этом выпуске мы поговорим: Что реально значит "пенсия" NGINX Ingress Controller и какие сроки по security-патчам.? Куда мигрировать: другие Ingress-контроллеры vs Gateway API, плюсы и минусы подходов. Архитектура Gateway API: global Gateway, HTTPRoute/GRPCRoute, TLS, сервис-меш и т.д. CORS и новый режим Chrome для локальной сети: почему внезапно «сломалось» расширение и как это связано с DevOps. Пара новостей одной строкой: AWS (ALB + JWT, AWS Backup для EKS, квантовые сертификаты), Anthropic и Thoughtworks Tech Radar. Ссылочки: Пост о retirement NGINX Ingress Controller — https://kubernetes.io/blog/2025/11/11... Книга «Cracking the Kubernetes Interview» на Amazon — https://www.amazon.de/-/en/Cracking-K... Книга «Cracking the Kubernetes Interview» на сайте Packt — https://www.packtpub.com/en-bg/produc... Chrome: New Permissions Prompt for Local Network Access — https://developer.chrome.com/blog/loc...

Will Stewart is the CEO and co-founder of Northflank, the developer platform. He shares how a teenage gaming side project turned into a self-service developer platform that runs complex workloads on Kubernetes across any cloud. He talks about meeting his co-founder online, fundraising and hiring remotely and why they took years to launch. He offers some interesting insights on dealing with bugs, product vision and changelogs.This episode is brought to you by WorkOS. If you're thinking about selling to enterprise customers, WorkOS can help you add enterprise features like Single Sign On and audit logs. Links:   •  Northflank   •  Will's Linkedin

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

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

Jonathan Bryce, the new CNCF executive director, argues that inference—not model training—will define the next decade of computing. Speaking at KubeCon North America 2025, he emphasized that while the industry obsesses over massive LLM training runs, the real opportunity lies in efficiently serving these models at scale. Cloud-native infrastructure, he says, is uniquely suited to this shift because inference requires real-time deployment, security, scaling, and observability—strengths of the CNCF ecosystem. Bryce believes Kubernetes is already central to modern inference stacks, with projects like Ray, KServe, and emerging GPU-oriented tooling enabling teams to deploy and operationalize models. To bring consistency to this fast-moving space, the CNCF launched a Kubernetes AI Conformance Program, ensuring environments support GPU workloads and Dynamic Resource Allocation. With AI agents poised to multiply inference demand by executing parallel, multi-step tasks, efficiency becomes essential. Bryce predicts that smaller, task-specific models and cloud-native routing optimizations will drive major performance gains. Ultimately, he sees CNCF technologies forming the foundation for what he calls “the biggest workload mankind will ever have.” Learn more from The New Stack about inference: Confronting AI's Next Big Challenge: Inference Compute Deep Infra Is Building an AI Inference Cloud for Developers 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.

The Cloud Native Computing Foundation has introduced the Certified Kubernetes AI Conformance Program to bring consistency to an increasingly fragmented AI ecosystem. Announced at KubeCon + CloudNativeCon North America 2025, the program establishes open, community-driven standards to ensure AI applications run reliably and portably across different Kubernetes platforms. VMware by Broadcom's vSphere Kubernetes Service (VKS) is among the first platforms to achieve certification.In an interview with The New Stack, Broadcom leaders Dilpreet Bindra and Himanshu Singh explained that the program applies lessons from Kubernetes' early evolution, aiming to reduce the “muddiness” in AI tooling and improve cross-platform interoperability. They emphasized portability as a core value: organizations should be able to move AI workloads between public and private clouds with minimal friction.VKS integrates tightly with vSphere, using Kubernetes APIs directly to manage infrastructure components declaratively. This approach, along with new add-on management capabilities, reflects Kubernetes' growing maturity. According to Bindra and Singh, this stability now enables enterprises to trust Kubernetes as a foundation for production-grade AI. Learn more from The New Stack about Broadcom's latest updates with Kubernetes: Has VMware Finally Caught Up with Kubernetes?VMware VCF 9.0 Finally Unifies Container and VM ManagementJoin 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.

The etcd project — a distributed key-value store older than Kubernetes — recently faced significant challenges due to maintainer turnover and the resulting loss of unwritten institutional knowledge. Lead maintainer Marek Siarkowicz explained that as longtime contributors left, crucial expertise about testing procedures and correctness guarantees disappeared. This gap led to a problematic release that introduced critical reliability issues, including potential data inconsistencies after crashes.To rebuild confidence in etcd's correctness, the new maintainer team introduced “robustness testing,” creating a framework inspired by Jepsen to validate both basic and distributed-system behavior. Their goal was to ensure linearizability, the “Holy Grail” of distributed systems, which required developing custom failure-injection tools and teaching the community how to debug complex scenarios.The team later partnered with Antithesis to apply deterministic simulation testing, enabling fully reproducible execution paths and easier detection of subtle race conditions. This approach helped codify implicit knowledge into explicit properties and assertions. Siarkowicz emphasized that such rigorous testing is essential for safeguarding the sensitive “core” of large open source projects, ensuring correctness even as maintainers change.Learn more from The New Stack about the etcd projectTutorial: Install a Highly Available K3s Cluster at the Edge 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.

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 »

In this episode of the Ardan Labs Podcast, Bill Kennedy talks with Caleb Mattingly, Founder and CEO of Secure Cloud Innovations, about his journey through cybersecurity, compliance, and entrepreneurship. Caleb shares insights into navigating complex compliance frameworks, the importance of vulnerability management, and building trust in the cybersecurity space. Beyond tech, he discusses his passion for linguistics, communication, and music—and how personal interests shape professional growth. The conversation also explores Caleb's entrepreneurial story, from a chance encounter at a swing dance club to building a thriving business during COVID-19, highlighting lessons in resilience, niche marketing, and the value of relationships in business.00:00 Introduction01:50 Cybersecurity and Compliance05:56 Vulnerability Management19:39 Education and Career Exploration26:35 Linguistics and Language Learning36:42 College Life and Personal Growth40:15 Music, Hobbies, and Self-Expression55:51 Balancing Work and Love01:12:08 Entering Cybersecurity01:23:05 Career Changes and New Beginnings01:26:49 Founding Secure Cloud Innovations01:39:56 Building Trust and Customer RelationshipsConnect with Caleb: LinkedIn: https://www.linkedin.com/in/caleb-h-mattingly/Mentioned in this Episode:Secure Cloud Innovations: https://trysci.co/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

Helm — originally a hackathon project called Kate's Place — turned 10 in 2025, marking the milestone with the release of Helm 4, its first major update in six years. Created by Matt Butcher and colleagues as a playful take on “K8s,” the early project won a small prize but quickly grew into a serious effort when Deus leadership recognized the need for a Kubernetes package manager. Renamed Helm, it rapidly expanded with community contributors and became one of the first CNCF graduating projects.Helm 4 reflects years of accumulated design debt and evolving use cases. After the rapid iterations of Helm 1, 2, and 3, the latest version modernizes logging, improves dependency management, and introduces WebAssembly-based plugins for cross-platform portability—addressing the growing diversity of operating systems and architectures. Beyond headline features, maintainers emphasize that mature projects increasingly deliver “boring” but essential improvements, such as better logging, which simplify workflows and integrate more cleanly with other tools. Helm's re-architected internals also lay the foundation for new chart and package capabilities in upcoming 4.x releases. Learn more from The New Stack about Helm: The Super Helm Chart: To Deploy or Not To Deploy?Kubernetes Gets a New Resource Orchestrator in the Form of KroJoin 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.

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

** I'd be so grateful if you'd take five minutes and answer our annual survey. It'll help me make the show better for you!  **Hey folks, it's Thanksgiving weekend here in the US and it's the time of year when we think about what we're grateful for, so today I'm re-sharing some words from perhaps the most grateful person I've ever had on the show. Kelsey Hightower is a legendary developer. And he has an incredible story. He went from sleeping in his car to becoming a pioneer in the Kubernetes world, a distinguished engineer at Google, and then... he retired. At the age of 42. Because he wanted to have more impact on the world than he thought he could have by advancing up the career ladder. So here are 15 minutes of my original interview with him, because some of the things he said — not about tech, but about humanity, gratitude, and prioritizing what matters — have really stuck with me.Here's the full interview, originally released in July 2024. We cover a lot, including how he became so good at live demos, why emotion is the key to great software — and storytelling — and how it's those “boring innovations” and mindset shifts you need to make as a technologist that will take you from “hello, world” to “hello, revenue.” ---Featured voices:Kelsey Hightower: "Retired, not tired" former distinguished engineer at Google and Kubernetes PioneerMe (Dan Blumberg) — I'm the host of CRAFTED. and the founder of Modern Product Minds. HMU if you want to build something great. I love building from zero to one.---And if you please…TAKE THE SURVEY: It'll just take five minutes and these surveys are actually really important for podcasters. Share with a friend! Word of mouth is by far the most powerful way for podcasts to growSubscribe to the CRAFTED. newsletter at crafted.fmShare your feedback! I'm experimenting with new episode formats and would love your honest feedback on this and other episodes. Email me: dan@modernproductminds.com or DM me on LinkedInSponsor the show? I'm actively speaking to potential sponsors for 2026 episodes. Drop me a line and let's talk.Get psyched!… There are some big updates to this show coming soon

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.