Podcasts about Kubernetes

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.

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.

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

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...

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

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.

In deze aflevering spreken Ronald en Jan met Giorgia Fiscaletti, Cloud Reliability Engineer bij Adobe. Giorgia vertelt hoe ze vanuit een creatieve achtergrond — kunst en digital design — uiteindelijk in de wereld van cloud engineering en Kubernetes terechtkwam.Bij Adobe werkt Giorgia aan Adobe Experience Manager, een enorm platform dat draait op tientallen Kubernetes-clusters met honderden namespaces per cluster. Ze deelt hoe Adobe Helm inzet voor het managen van applicaties op schaal en welke uitdagingen daarbij komen kijken.Belangrijkste inzichten uit het gesprek:Van creatieve roots naar cloud engineering: Een onverwachte maar krachtige overgang van artistieke studies naar high-scale cloudplatforms.Helm op massale schaal: Adobe gebruikte aanvankelijk per namespace een eigen helm-controller en source-controller, maar bij clusters met 200–300 namespaces leidde dit tot overbelasting van de API-server.Sharding als oplossing: Door controllers te centraliseren en te sharden over labels werd de druk op de API-server drastisch verlaagd.Etcd-problemen: Helm release secrets stapelden zich op, wat clusters richting read-only situaties duwde. Giorgia legt uit hoe dit werd geïdentificeerd en verholpen.Complexe customization-lagen: Adobe combineert Helm met meerdere configuratielagen voor klantomgevingen, interne features en experimentele patches.Real-world scale: 50+ clusters, ~200 namespaces per cluster, Argo CD pipelines, Flux controllers en zeer diverse klantconfiguraties — allemaal parallel draaiend.Werken bij Adobe: Giorgia geeft een uniek inkijkje in de tooling, architectuur en cultuur achter een platform waar duizenden engineers op bouwen.Deze aflevering biedt een zeldzaam kijkje in de schaalproblemen, designkeuzes en technische creativiteit die nodig zijn om Kubernetes in enterprise-omgeving zoals Adobe soepel te laten functioneren.Powered by ACC ICTStuur 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

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.

Cybercrime is predicted to cost the global economy over $10.5 trillion annually by 2025, making a Secure-by-Design approach non-negotiable. DevSecOps is no longer just a methodology—it's a critical cultural shift transforming developers into frontline defenders. In this episode, we dive into the 8 Emerging Trends of DevSecOps in 2025 that security and development professionals need to master to stay ahead. We discuss how to move beyond basic DevOps and embed proactive security into your software supply chain.

Nesse episódio trouxemos as notícias e novidades do mundo da programação que nos chamaram atenção dos dias 29/11 a 05/12.☕ Café Código FontePrograme sua xícara para o sabor certo!http://cafe.codigofonte.com.br

Nesse episódio trouxemos as notícias e novidades do mundo da programação que nos chamaram atenção dos dias 29/11 a 05/12.☕ Café Código FontePrograme sua xícara para o sabor certo!http://cafe.codigofonte.com.br

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.

Neste episódio, destrinchamos como o Kong conversa com a Gateway API no Kubernetes, passamos por GatewayClass, Gateway e HTTPRoute, e mostramos onde os plugins entram para dar aquele boost de segurança e observabilidade.A gente também faz o raio‑X dos componentes, comenta escolhas de arquitetura (do balanceamento de tráfego ao mTLS com cert‑manager) e debate os trade‑offs entre Ingress Controller tradicional e o ecossistema moderno da Gateway API. Sem prometer milagres, mas prometendo menos YAML sofrido.E claro: não faltam comparações sinceras entre OSS e Enterprise, além de dicas de onde cavar documentação que presta.Links Importantes: - Marco Ollivier - https://www.linkedin.com/in/marcopollivier/ - Slides DOD - https://docs.google.com/presentation/d/1GxcpOBaomthc4gDnmNSakEMfMZIkiseB16KMRVdnNkw/edit?usp=sharing - João Brito - https://www.linkedin.com/in/juniorjbn/ - Kong - https://github.com/Kong/kongO Kubicast é uma produção da Getup, empresa especialista em Kubernetes e projetos open source para Kubernetes. Os episódios do podcast estão nas principais plataformas de áudio digital e no YouTube.com/@getupcloud.

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 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.

Kubernetes has relied on role-based access control (RBAC) since 2017, but its simplicity limits what developers can express, said Micah Hausler, principal engineer at AWS, on The New Stack Makers. RBAC only allows actions; it can't enforce conditions, denials, or attribute-based rules. Seeking a more expressive authorization model for Kubernetes, Hausler explored Cedar, an authorization engine and policy language created at AWS in 2022 and later open-sourced. Although not designed specifically for Kubernetes, Cedar proved capable of modeling its authorization needs in a concise, readable way. Hausler highlighted Cedar's clarity—nontechnical users can often understand policies at a glance—as well as its schema validation, autocomplete support, and formal verification, which ensures policies are correct and produce only allow or deny outcomes.Now onboarding to the CNCF sandbox, Cedar is used by companies like Cloudflare and MongoDB and offers language-agnostic tooling, including a Go implementation donated by StrongDM. The project is actively seeking contributors, especially to expand bindings for languages like TypeScript, JavaScript, and Python.Learn more from The New Stack about Cedar:Ceph: 20 Years of Cutting-Edge Storage at the Edge The Cedar Programming Language: Authorization SimplifiedJoin 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

AWS's approach to Elastic Kubernetes Service has evolved significantly since its 2018 launch. According to Mike Stefanik, Senior Manager of Product Management for EKS and ECR, today's users increasingly represent the late majority—teams that want Kubernetes without managing every component themselves. In a conversation onThe New Stack Makers, Stefanik described how AI workloads are reshaping Kubernetes operations and why AWS open-sourced an MCP server for EKS. Early feedback showed that meaningful, task-oriented tool names—not simple API mirrors—made MCP servers more effective for LLMs, prompting AWS to design tools focused on troubleshooting, runbooks, and full application workflows. AWS also introduced a hosted knowledge base built from years of support cases to power more capable agents.While “agentic AI” gets plenty of buzz, most customers still rely on human-in-the-loop workflows. Stefanik expects that to shift, predicting 2026 as the year agentic workloads move into production. For experimentation, he recommends the open-source Strands SDK. Internally, he has already seen major productivity gains from BI agents that automate complex data analysis tasks.Learn more from The New Stack about Amazon Web Services' approach to Elastic Kubernetes ServiceHow Amazon EKS Auto Mode Simplifies Kubernetes Cluster Management (Part 1)A Deep Dive Into Amazon EKS Auto (Part 2)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.

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

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

In episode 48 of Generationship, Rachel Chalmers speaks with Sarah Novotny. They dig into why AI models fall short of true creativity, how the tech industry drifted into extractive incentives, and what real security and accountability might look like at scale. Sarah highlights lessons from Kubernetes, open source ecosystems, and political science to propose a more trustworthy technological future.

In episode 48 of Generationship, Rachel Chalmers speaks with Sarah Novotny. They dig into why AI models fall short of true creativity, how the tech industry drifted into extractive incentives, and what real security and accountability might look like at scale. Sarah highlights lessons from Kubernetes, open source ecosystems, and political science to propose a more trustworthy technological future.

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.

professorjrod@gmail.comOne idea rewired computing: what if one machine could convincingly pretend to be many? We start with mainframes and time sharing, then move through hypervisors, virtual machines, and the moment virtualization became the backbone of the cloud. From there, the story accelerates into public, private, hybrid, and community cloud models, and the service stack that defines modern IT—Infrastructure as a Service, Platform as a Service, and Software as a Service—so you know exactly who manages what and why it matters.We break down how to build reliable VMs, choose the right network mode, and use snapshots, templates, and live migration to save time and prevent outages. Then we climb the stack to cloud storage options like object, block, and file; explore VDI with thin and zero clients for secure, centralized desktops; and map the virtual network layer with routers, firewalls, load balancers, and VPN gateways. Security threads through everything: shared responsibility, IAM, MFA, encryption, and redundancy. You'll learn practical troubleshooting for slow VMs, networking quirks, sync failures, and common cloud gotchas like quota limits and VPN interference.Containers and Kubernetes bring speed and resilience, turning monoliths into microservices that scale on demand. We close on the frontier—edge and fog computing reduce latency at the source, while serverless lets code run only when needed. By the end, you'll see how virtualization delivered flexibility, the cloud delivered scale, containers delivered agility, and serverless delivered automation. Subscribe, share with a teammate, and leave a quick review to help more tech learners tap into the roots and future of cloud computing.Support the showArt By Sarah/DesmondMusic by Joakim KarudLittle chacha ProductionsJuan Rodriguez can be reached atTikTok @ProfessorJrodProfessorJRod@gmail.com@Prof_JRodInstagram ProfessorJRod

Convidamos o Alestan Alves para um papo direto sobre como a IA realmente ajuda no nosso dia a dia, sem hype vazia. Ao longo do episódio, exploramos casos práticos (como resumir contratos e documentos), discutimos quando faz sentido usar modelos generalistas vs. especializados e onde agentes de IA começam a brilhar. Tudo com aquela pegada técnica e bem-humorada que vocês já conhecem, falando de fluxo de trabalho real.Entramos a fundo em segurança e governança: onde os riscos aparecem, quais limites colocar e que tipo de dado não deve ir para um modelo. Também passamos por produtividade, do rascunho ao código, e por que “automatizar por automatizar” pode virar dívida técnica (ou pior, vazamento). Falamos de prompts e contexto, de como reduzir atritos no dia-a-dia e de como transformar tarefas repetitivas em algo previsível.Por fim, tocamos em ferramentas do ecossistema (como Copilot) e até em ambientes onde Kubernetes e plataforma entram na conversa. Fechamos com um guia de “por onde começar” para quem quer montar seus primeiros experimentos com agentes e provar valor, sem comprometer privacidade ou compliance.Links Importantes: - Alestan Alves - https://www.linkedin.com/in/alestan-alves - João Brito - https://www.linkedin.com/in/juniorjbn - Acker Academy - https://www.ackerdemy.com/O Kubicast é uma produção da Getup, empresa especialista em Kubernetes e projetos open source para Kubernetes. Os episódios do podcast estão nas principais plataformas de áudio digital e no YouTube.com/@getupcloud.

In Part 1 of the Telco Days 2025 podcast series—produced in partnership with Telco Days 2025—Doug Green of Technology Reseller News sits down with Dawid Mielnik, General Manager Telco at Software Mind, a global software and technology services provider. With more than 25 years of telecom experience and a 1,600-person engineering organization across Europe and the U.S., Software Mind helps operators modernize everything from voice and signaling to OSS/BSS and cloud-native telco stacks. As Mielnik explains, “We're big enough to scale, but small enough to care—our clients always know exactly who is on the team and who owns the outcomes.” Mielnik highlights Software Mind's software-first mindset and deep telecom expertise as core differentiators. Unlike traditional integrators, Software Mind not only deploys technology but also builds, customizes, and fills functional gaps with tailored software. “Our clients appreciate that we know telecom from the inside—IMS, signaling, roaming, legacy architectures, BSS/OSS. That domain knowledge makes all the difference,” he notes. He also shared real-world examples illustrating how Software Mind accelerates modernization. For a major European telecom group, the company migrated a legacy voice system to a fully containerized Kubernetes environment, reducing deployment cycles from 12 hours to under two hours. Another engagement rebuilt a monolithic CVM platform into microservices on Google Cloud, enabling daily deployments instead of monthly releases. “It wasn't just a technical upgrade—it changed how the entire delivery team worked,” Mielnik says. Looking ahead, Mielnik points to cloud-native architectures and AI as the forces reshaping telecom for the second half of this decade. Operators continue to grapple with large legacy stacks, while AI is rapidly being embedded across operations, assurance, fraud prevention, and customer engagement. “AI is making its way into every layer of the telecom network, and cloud is the foundation for the next wave of transformation,” he explains. The discussion also introduces Telco Days, Software Mind's annual thought-leadership and knowledge-sharing initiative. What began in 2018 as a Kubernetes training program has grown into a global hybrid forum where operators and partners discuss modernization, AI, customer engagement, and data strategy. All sessions from Telco Days 2025 are now available on demand to the entire industry. Learn more at: https://softwaremind.com/

La era del espionaje masivo “por nuestro propio bien” ha llegado para quedarse... Notas y referencias en https://www.tierradehackers.com/episodio-139 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

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

SHOW: 975Rohan Sathe, CEO and Co-Founder of Nightfall AI, discusses the rise of Shadow AI, where employees unknowingly leak sensitive corporate data through generative AI tools like ChatGPT. We explore how Nightfall's AI-native approach transforms autonomous systems to defend against AI-powered data exfiltration across SaaS apps, endpoints, and browsers. SHOW TRANSCRIPT: The Cloudcast #975 TranscriptSHOW VIDEO: https://youtube.com/@TheCloudcastNET NEW TO CLOUD? CHECK OUT OUR OTHER PODCAST - "CLOUDCAST BASICS" 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 NOTES:Sunday Perspective touches on Shadow AINightfall websiteTopic 1 - Welcome to the show, Rohan. Give everyone a brief introduction, including your time at Uber Eats.Topic 2 - How do you define Shadow AI? We hear Shadow AI compared to Shadow IT back at the start of cloud. However, this looks different because everyone's learning curve is much smaller. For Shadow IT to happen, you had to know IT (servers, storage, etc.). Is this the correct way to think about the problem?Topic 3 - How big is the Shadow AI problem today?Topic 4 - Normally, data leaks would be discovered by traditional DLP (data loss prevention) tools. In my experience, those tools have been cumbersome and clunky, and you often face the classic trade-off between user productivity and security, as well as the need to lock down access. How has this mindset evolved in the era of AI? Topic 5 - What happens when AI-powered attacks meet AI-powered defense?Topic 6 - Let's talk about the technical architecture. How does Nightfall actually work across SaaS apps, endpoints, browsers, and AI tools?FEEDBACK?Email: show at the cloudcast dot netBluesky: @cloudcastpod.bsky.socialTwitter/X: @cloudcastpodInstagram: @cloudcastpodTikTok: @cloudcastpod

#325: KubeCon NA 2025 wrapped in Atlanta with unseasonably cold weather and some significant shifts in the cloud native ecosystem. The conference showed fewer vendors backing CNCF projects on the show floor, with key concerns emerging around maintainer burnout—exemplified by NGINX Ingress being deprecated despite running on 40% of Kubernetes clusters worldwide. The event revealed a maturing ecosystem where AI moved from buzzword to operational reality, with focus shifting toward conformance standards, security policies, and enterprise readiness rather than the hype cycle of previous years. The discussions revealed a consolidation pattern where larger corporations like AWS, Microsoft, and Google are increasingly the only ones who can sustain open source project maintenance. Startups and smaller companies face difficult choices: maintain existing revenue streams, pivot entirely to AI, or attempt both and fail at both. Meanwhile, AI adoption in the ops space remains behind other sectors, with developers emerging as the primary buyers for AI tooling—a shift that's reshaping go-to-market strategies across vendors. Platform engineering continues as a parallel major theme, focusing on operationalizing infrastructure at scale.   Whitney's contact information: X: https://x.com/wiggitywhitney LinkedIn: https://www.linkedin.com/in/whitneylee/   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 Catherine Johnson, VP of Global Solutions Engineering at Hydrolix, about her career journey through data management, scalability, and innovation. With a background spanning leadership roles at Hydrolix, Grafana Labs, and Oracle, Catherine shares insights into balancing engineering, entrepreneurship, and mentorship. She discusses the evolution of real-time data systems, the economics of storage, and the importance of data-driven decision-making. Catherine also opens up about taking a break from tech to teach dance, and how her passion for innovation and continuous learning fuels her leadership today.00:00 Introduction03:03 Data Management and Scalability05:58 Explosion of Data and Storage Needs09:01 Real-Time Data in Business14:49 Economics of Data Storage20:41 Education and Early Career31:09 Career Transitions and Growth46:10 Teaching Dance and Finding Balance53:16 Returning to Tech at Oracle01:08:10 Joining Elastic and Facing Burnout01:15:45 Leadership and Innovation at Hydrolix01:27:07 AI in Tech and Its LimitationsConnect with Catherine: LinkedIn: https://www.linkedin.com/in/catjopdx/Mentioned in this Episode:Hydrolix: https://hydrolix.io/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

In this Technology Reseller News, Podcast, Doug Green interviews Don Boxley, CEO and Co-Founder of DH2i, for a deep dive into one of the biggest challenges facing IT teams today: the migration gap between legacy Windows-based SQL Server deployments and the containerized, Linux-driven future that modern applications increasingly require. DH2i, a long-time Microsoft and Red Hat partner, delivers high availability, secure communication, and cross-platform mobility for SQL Server, Oracle, and MySQL environments. Their flagship platform, DX Enterprise, enables customers to run the same production-grade SQL instance across Windows, Linux, and Kubernetes — and move between them with seamless failover. As Boxley explains, this eliminates the traditional roadblocks that keep enterprises locked into aging infrastructure. With SQL Server 2025 bringing new support for AI-driven applications, Microsoft tapped DH2i to deliver mission-critical HA capabilities for these next-generation workloads. The company also introduced a hands-on, step-by-step Minikube tutorial, allowing DBAs and MSPs to experiment safely with Kubernetes-based SQL deployments on their own PCs before ever touching production. “Most teams think they're stuck on Windows — they're not. With DX Enterprise, you can move SQL Server to Linux or containers without disruption, and your customers won't even know the difference,” Boxley notes. DH2i's developer edition is available as a free download, complete with 30-day support, giving IT teams a no-risk path to testing, learning, and modernizing their database infrastructure. Learn more at https://dh2i.com/. Software Mind Telco Days 2025: On-demand online conference Engaging Customers, Harnessing Data

Is the current level of AI funding and investment rational or irrational? Is it possible that it's both at the same time? Let's look at some numbers and the thought process behind them.SHOW: 976SHOW TRANSCRIPT: The Cloudcast #976 TranscriptSHOW VIDEO: https://youtube.com/@TheCloudcastNET CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotwCHECK OUT OUR NEW PODCAST: "CLOUDCAST BASICS"SHOW SPONSORS:[TestKube] TestKube is Kubernetes-native testing platform, orchestrating all your test tools, environments, and pipelines into scalable workflows empowering Continuous Testing. Check it out at TestKube.io/cloudcast[Interconnected] Interconnected is a new series from Equinix diving into the infrastructure that keeps our digital world running. With expert guests and real-world insights, we explore the systems driving AI, automation, quantum, and more. Just search “Interconnected by Equinix”.SHOW NOTES:A whole bunch of AI-related statsSam Altman on BG2 podcastDO WE HAVE ANY IDEA HOW TO MEASURE THE IMPACT OF AI?How much is one model better than another (e.g. Gemini vs. CoPilot)?How much improvement should a software developer get?How much improvement should a knowledge worker get?How much cost savings should a chatbot provide?How long should it take to make a model understand a company's data?How many workers can a company displace with AI?OpenAI in 2030 - 26 gigawatts could power between 3.7 million to 17.3 million modern GPU serversOpenAI in 2035 - 50 gigawatts could power between 37 million to 173 million modern GPU serversFEEDBACK?Email: show at the cloudcast dot netTwitter/X: @cloudcastpodBlueSky: @cloudcastpod.bsky.socialInstagram: @cloudcastpodTikTok: @cloudcastpod

Today we delve into the tech expertise deficit and why technical depth and decades of doing the work matter more than social media followers and content creation hype. Our guest is Russ White, engineer, author, teacher, and certification developer. We begin with current events in AI, and then investigate the differences between career and influence... Read more »

SHOW: 975SHOW TRANSCRIPT: The Cloudcast #975 TranscriptSHOW VIDEO: https://youtube.com/@TheCloudcastNET NEW TO CLOUD? CHECK OUT OUR OTHER PODCAST - "CLOUDCAST BASICS" SPONSORS:[Interconnected] Interconnected is a new series from Equinix diving into the infrastructure that keeps our digital world running. With expert guests and real-world insights, we explore the systems driving AI, automation, quantum, and more. Just search “Interconnected by Equinix”.[TestKube] TestKube is Kubernetes-native testing platform, orchestrating all your test tools, environments, and pipelines into scalable workflows empowering Continuous Testing. Check it out at TestKube.io/cloudcastSHOW NOTES:LaunchAny websiteapicoach.io (note)Lessons learned after a decade of API StrategyLatest book: “Principles of Web API Design: Delivering Value with APIs and Microservices (Addison-Wesley under the Vaughn Vernon signature series)Upcoming report on AI-Assisted API DesignJames on The Cloudcast #153James on The Cloudcast #435Topic 1 - Welcome back to the show James. It's hard to believe it's been 11 years since we last spoke on the show! Give everyone a brief introduction.Topic 2 - To say we've come a long way with APIs as an industry is an understatement. But let's set the table for everyone. In your interactions with Enterprise customers, what trends or standards are currently top of mind? Topic 3 - You wrote an article (link in show notes) titled Lessons after a Decade of API Strategy. What struck me from the article was the combination of technology, business, and even culture, all of which have to come together. When talking to Enterprises these days, have we moved past understanding what APIs are and straight to solving problems with APIs?Topic 4 - What are the most common use cases you see today? API transformation? API sprawl and consolidation/documentation? Integration of SaaS/3rd party services?Topic 5 - No conversation would be complete without a discussion about AI and AI's impact on API's. I view this in several different ways. AI is creating APIs, and AI is being consumed through APIs. How do you think about AI and its impact? What's changed and what has stayed the same?Topic 6 - Second aspect to the AI topic, where and how does security fit into this intersection of AI and APIs?Topic 7 - If anyone is interested, what's the best way to get started?FEEDBACK?Email: show at the cloudcast dot netBluesky: @cloudcastpod.bsky.socialTwitter/X: @cloudcastpodInstagram: @cloudcastpodTikTok: @cloudcastpod

#324: Kubernetes has reached a mature state where boring releases signal stability rather than stagnation. While the platform continues evolving with features like in-place resource updates in version 1.33, the real challenge lies in optimizing AI workloads that demand significantly more resources than traditional applications. The discussion reveals how auto-scaling capabilities become crucial for managing these resource-intensive workloads, with vertical and horizontal scaling finally working together through new features that allow pod resizing without restarts. The conversation explores the ongoing tension between cloud costs and data center investments, particularly as companies navigate uncertain AI requirements. While cloud providers offer flexibility for experimentation, the hidden costs of skilled personnel and infrastructure management often make cloud solutions more economical than initially apparent. The debate extends to startup strategies, where outsourcing infrastructure complexity allows teams to focus on core business value rather than operational overhead. Omer Hamerman joins Darin and Viktor to examine the common misconceptions about resource allocation, arguing that developers fundamentally cannot predict CPU and memory requirements accurately. This limitation makes automated right-sizing and intelligent scaling essential for modern Kubernetes deployments, especially as AI workloads continue pushing infrastructure boundaries.   Omer's contact information: LinkedIn: https://www.linkedin.com/in/omer-hamerman/   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 the history of technology era changes, things tend to change slowly at first, and then quickly all at once. We've now reached the beginning of the all-at-once era of AI change. SHOW: 974SHOW TRANSCRIPT: The Cloudcast #974 TranscriptSHOW VIDEO: https://youtube.com/@TheCloudcastNET CLOUD NEWS OF THE WEEK: http://bit.ly/cloudcast-cnotwCHECK OUT OUR NEW PODCAST: "CLOUDCAST BASICS"SHOW SPONSORS:[TestKube] TestKube is Kubernetes-native testing platform, orchestrating all your test tools, environments, and pipelines into scalable workflows empowering Continuous Testing. Check it out at TestKube.io/cloudcast[Interconnected] Interconnected is a new series from Equinix diving into the infrastructure that keeps our digital world running. With expert guests and real-world insights, we explore the systems driving AI, automation, quantum, and more. Just search “Interconnected by Equinix”.SHOW NOTES:The Benefit of Bubbles (Stratechery)Cube Research - Energy needs of AIAre we building AI for Progress or Power? (Prof G Markets)Amazon earnings call (Oct 2025) transcriptMicrosoft Azure earnings call (Oct 2025) transcriptWHAT WAS THE LEADING AI TREND FOR EACH YEAR?2022 - What is ChatGPT2023 - What can GenAI do? (Jobs, Skills, etc.)2024 - Alternatives to OpenAI and NVIDIA, Where is Google?, Where is AWS?2025 - Open source in AI, AI Regulations, AI Partnerships, Deep Seek, AI Agents, AI Funding, AI Power Challenges, AI Gov't Involvement2026 - ???FEEDBACK?Email: show at the cloudcast dot netTwitter/X: @cloudcastpodBlueSky: @cloudcastpod.bsky.socialInstagram: @cloudcastpodTikTok: @cloudcastpod