Podcasts about cncf

In this episode of Alexa's Input (AI), I sit down with David Aronchick, co-founder and CEO of Expanso and former product lead for Kubernetes at Google.Data is growing everywhere outside your data center. Solar panels in remote across a country. Security cameras at retail stores. IoT sensors across factory floors. And moving that data to the cloud for processing? It's expensive, slow, and often restricted by compliance.David is an expert when it comes to solving distribution problems. He led Kubernetes product at Google, co-founded Kubeflow to bring ML to production, and now he's building Expanso to tackle a difficult constraint: when your data can't move, how do you process it where it lives?We discuss:- The need for distributed data orchestration-Upstream data control: filtering and transforming at the source- Three forces making edge computing inevitable (physics, regulations, economics)- How to build successful open source infrastructure projects- Customer discovery and finding real pain points- His transition from Protocol Labs to founding Expanso- ETL pipelines: moving the first four steps closer to the data- Context loss and lineage in distributed systems- Processing 400,000 signals per second with 150MB agents- AI observability: attaching source metadata to training data- Running ML pipelines at the edge- Real-world deployment challenges (bandwidth, regulations, cost)Expanso is rethinking how we process data in an AI-native world—moving compute to data instead of data to compute. If you want to understand where distributed systems and edge computing are heading, this is a deep dive into the infrastructure layer beneath modern AI applications.General Podcast LinksWatch: https://www.youtube.com/@alexa_griffith Read: https://alexasinput.substack.com/ Listen: https://creators.spotify.com/pod/profile/alexagriffith/ More: https://linktr.ee/alexagriffithLearn more about the host atWebsite: https://alexagriffith.com/ LinkedIn: https://www.linkedin.com/in/alexa-griffith/Find out more about the guest atLinkedIn: https://www.linkedin.com/in/aronchick/ Twitter/X: https://x.com/aronchick GitHub: https://github.com/aronchick Expanso Website: https://expanso.io/ResourcesExpanso Website: https://expanso.io/ Kubernetes: https://kubernetes.io/ Kubeflow: https://www.kubeflow.org/ CNCF (Cloud Native Computing Foundation): https://www.cncf.io/ Protocol Labs: https://protocol.ai/KeywordsDavid Aronchick, Expanso, Kubernetes, Kubeflow, distributed systems, edge computing, data pipelines, ETL, upstream data control, Google Kubernetes Engine, open source, CNCF, observability, log processing, data lineage, provenance, schema enforcement, IoT, edge AI, distributed data, machine learning infrastructure, Protocol Labs, IPFS, Filecoin, data governance, compliance, GDPR, bandwidth optimization, data aggregation, AI infrastructure, multi-cloud, hybrid cloud, real-time processing

OpenChoreo is an opinionated, “batteries included”, AI-native Kubernetes platform stack for Platform Engineers that combines GitOps, Observability, AI Agents, and Workflows into a custom K8s distribution “super pack” that is managed via Backstage, CLI, API, or MCP. Now a CNCF project.Check out the video podcast version here: 

In this episode, hosts Ronald and Jan are joined at KubeCon by two guests from Red Hat: Brian Stevens, AI CTO and one of the original architects behind the creation of Kubernetes and the CNCF, and Rob Shaw, co-lead of the vLLM project and maintainer of LMD.Brian shares the remarkable backstory of how Kubernetes came to be open source, including how Red Hat negotiated a single committer seat before agreeing to be a launch partner, and how he later pushed Google to contribute Kubernetes to the newly formed CNCF rather than keeping it proprietary like TensorFlow.Rob explains what an inference runtime actually is: the critical piece of software that takes an abstract AI model and runs it as efficiently as possible on a GPU or other accelerator — handling everything from CUDA-level kernel optimization to memory management and concurrent request scheduling. vLLM serves as a "Rosetta Stone" between the ever-growing zoo of models (Llama, DeepSeek, Mistral, Qwen, Nvidia Nemotron) and accelerators (Nvidia, AMD, Intel, Google TPUs).The conversation covers model compression and quantization how techniques like 4-bit precision can deliver 2x hardware efficiency gains while preserving 99%+ model accuracy. Brian and Rob also address the "big model vs. many small models" debate, recommending to always start with the largest capable model to validate a use case before optimizing down.Looking ahead, both guests see inference as potentially the single largest workload ever run on Kubernetes, and position LMD (now contributed to the CNCF) as the distributed inference layer that will make this possible across heterogeneous accelerator environments  preventing enterprises from ending up with 42 incompatible AI stacks.The episode closes with a discussion on AI slop, human-in-the-loop thinking, and the future of Kubernetes as the universal platform for running AI agents at scale.Powered by  @acc-ict ​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

OpenTelemetry has officially reached CNCF graduation this month, marking a major milestone for one of the most widely adopted open observability projects. In this episode of OpenObservability Talks, we unpack what this graduation really means for the project and for users out there. We also revisit the newest observability signal in OpenTelemetry, Continuous Profiling, which was released in public alpha. We explore where the effort currently stands, the adoption and usage best practices. Finally, we dive into the OpenTelemetry eBPF profiling agent and how it aims to dramatically simplify the adoption of continuous profiling for developers and platform teams.Our guest for this episode is Israel Ogbole, CEO & Co-founder of Zymtrace and member of the OTel Profiling SIG. Prior to founding zymtrace, he served as Principal Product Manager at Elastic, where he led Universal Profiling. He also led the donation of Elastic's eBPF CPU profiler to OpenTelemetry. Israel also worked at Cisco AppDynamics and at Microsoft, with rich background in observability. You can read the recap post: https://medium.com/p/c66dc2cd7d3cShow Notes:00:00 - episode and guest intro04:16 - OpenTelemetry reaches CNCF graduation15:25 - Continuous profiling reaches public Alpha34:19 - eBPF profiling agent 57:04 - outroResources:OpenTelemetry reaches CNCF Graduation: https://opentelemetry.io/blog/2026/otel-graduates/ OpenTelemetry Profiles Enters Public Alpha: https://opentelemetry.io/blog/2026/profiles-alpha/ OTel adds the eBPF profiling agent donated by Elastic: https://opentelemetry.io/blog/2024/elastic-contributes-continuous-profiling-agent/Unveiling OpenTelemetry eBPF Instrumentation: https://medium.com/p/377cb0432bf1  Continuous Profiling: a new observability signal: https://medium.com/p/8afd5bafd498   OTel Profiling SIG established: https://medium.com/p/4a9b407e48cc  eBPF for no-code observability instrumentation: https://www.youtube.com/watch?v=NYDBj5ctKaw&list=PLd57eY2edRXz4djMETYTm-2p8WGTdoX3DSocials:BlueSky: https://bsky.app/profile/openobservability.bsky.socialX (Twitter): ⁠https://x.com/OpenObserv⁠LinkedIn: https://www.linkedin.com/company/openobservability/YouTube: ⁠https://www.youtube.com/@openobservabilitytalks⁠Dotan Horovits============X (Twitter): @horovitsLinkedIn: www.linkedin.com/in/horovitsMastodon: @horovits@fosstodonBlueSky: @horovits.bsky.socialIsrael Ogbole===========X (Twitter): https://x.com/israel_ogboleLinkedIn: https://www.linkedin.com/in/israelo/OpenObservability Talks episodes are released monthly, on the last Thursday of each month and are available for listening on your favorite podcast app and on YouTube.

Neste episódio do LowOpsCast, o papo é com Edson Ferreira, Sr Solutions Engineer na Sysdig, palestrante internacional, CNCF Ambassador, Kubestronaut e contributor open source.Mas antes dos títulos, certificações e tecnologias, a conversa é sobre a pessoa por trás da carreira.Vamos falar sobre trajetória, escolhas, comunidade, perseverança e os caminhos que levaram o Edson a sair dos primeiros passos com Linux, suporte e desenvolvimento, até atuar hoje ajudando empresas a construírem ambientes Cloud Native mais seguros, observáveis e preparados para operar em escala.O Edson é uma daquelas pessoas que mostram que carreira em tecnologia não acontece em linha reta. Tem estudo, tentativa, erro, comunidade, contribuição open source, eventos, documentação, bastidor, operação e muita consistência ao longo do tempo.Ao longo do episódio, a gente conversa sobre:A jornada pessoal e profissional do Edson na tecnologiaComo a comunidade ajudou a moldar sua carreiraOs desafios de crescer tecnicamente sem perder o lado humanoOpen source, contribuição e o impacto de compartilhar conhecimentoA vida de quem atua com Cloud Native Security, Kubernetes e observabilidadeExperiências em SRE, DevOps, incidentes, operação e ambientes críticosO papel da segurança em ambientes Kubernetes e Cloud NativeComo é estar envolvido com CNCF, Kubestronaut e iniciativas globais da comunidadeTambém falamos sobre carreira internacional, palestras, certificações, bastidores da evolução técnica e aquela parte que pouca gente vê: o processo de continuar estudando, contribuindo e aparecendo mesmo quando o caminho não é simples.Esse episódio não é só sobre Kubernetes, segurança ou observabilidade.É sobre construção de carreira, comunidade, consistência e sobre como a tecnologia pode abrir portas quando a pessoa decide continuar caminhando, mesmo quando o terminal responde com erro e a vida parece um YAML mal identado.Se você trabalha com DevOps, SRE, Cloud Native, segurança, Kubernetes, open source ou está tentando encontrar seu espaço na área de tecnologia, esse episódio vai fazer bastante sentido.Assista agora e acompanhe o LowOpsCast.

In Episode 135 of the Dutch Kubernetes Podcast, Ronald Kers and Jan Stomphorst sit down with Mohamed Nasser, CEO of VEXXHOST and OpenInfra Foundation board member, together with Thierry Carrez, General Manager of the OpenInfra Foundation and Linux Foundation Europe. The conversation explores the growing relevance of OpenStack in a world increasingly focused on digital sovereignty, private cloud, AI workloads, and secure infrastructure.The episode dives into how the industry shifted from private infrastructure toward hyperscalers between 2016 and 2020, and why many organizations are now reconsidering that strategy. Thierry explains how geopolitical tensions, vendor lock-in, and changing licensing models have renewed interest in sovereign cloud solutions powered by open source technologies like OpenStack.Mohamed and Thierry discuss why OpenStack is still highly relevant at massive scale, especially for organizations requiring multi-tenancy, hardware abstraction, GPU enablement, HPC workloads, and advanced networking performance. They explain how Kubernetes has become the user-facing interface, while OpenStack increasingly operates invisibly underneath many modern platforms. Examples discussed include rail infrastructure, gaming companies, telecom providers, and even government environments.The discussion also explores how Kubernetes and OpenStack complement each other instead of competing. Mohamed explains how many providers now run OpenStack itself on Kubernetes, leveraging cloud-native tooling such as Prometheus and Loki to simplify operations and observability. The hosts also discuss storage abstraction, CSI drivers, bare-metal provisioning with Ironic, and why virtualization still offers major operational advantages in large-scale Kubernetes environments.Towards the end of the episode, the conversation shifts toward the future of open infrastructure, including confidential computing, Kata Containers, AI security, GPU orchestration, and the growing collaboration between the Linux Foundation, CNCF, and OpenInfra Foundation. Thierry highlights how secure container isolation and confidential computing are becoming increasingly important as AI workloads spread across Kubernetes platforms.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

In 2011 Heroku defined the 12 factor app to remove emerging bottlenecks as developers tried to scale their output when they moved from building monoliths to microservices. In Platform Engineer we see a repeating pattern called the "8 Factor Platform Producers".  AI allows engineering teams to speed up but they face bottlenecks as platform capabilities are not scaling with that demand as they are often depending on a central platform engineering team to be built and maintained.To learn more about 8 Factor Platform Producers we invited Abby Bangser,  Founding Principal Engineer at Syntasso and CNCF Ambassador. She gave an amazing talk at KubeCon in Amsterdam and today walks us through the need of defining both consumers and producers for platforms to eliminate any emerging bottlenecks in Platform Engineering and allow an organization to reap the benefit of speeding up with AILinks we discussed:Abby's LinkedIn: https://www.linkedin.com/in/abbybangser/Abby's Kubecon Keynote: https://www.youtube.com/watch?v=8t0-5cvvMGM&list=PLj6h78yzYM2MXCOWSN9CqqID6OOvF7wxL&index=3012 Factor Apps: https://12factor.net/CNCF Whitepaper: https://cloudnativeplatforms.com/whitepapers/platforms/

An airhacks.fm conversation with Arun Gupta (@arungupta) about: learning Basic, Pascal, COBOL and C in college, early Java applets connecting to databases via JDBC, joining Sun Microsystems in March 1999 as an RMI/CORBA test engineer, the Portable Object Adapter and IIOP wire protocol, RMI-IIOP for language interoperability, J2EE 1.2 alpha release, JAX-B and JAX-RS testing, J2EE technologies migrating into Java SE, GlassFish as the open-source reference implementation, growing GlassFish downloads from zero to five million in three years, OSGi modularization in GlassFish V3, single-jar Java EE deployment, the Sun Grid early cloud attempt, the Sun Cloud REST API designed by Tim Bray, Red Hat JBoss technical marketing, recording an early docker screencast at Red Hat, Couchbase and the move to Amazon, principal open source technologist role, making Amazon join CNCF, launching Amazon Corretto with James Gosling at Devoxx Belgium 2019, the corretto name meaning coffee with liquor, Apple Open Source Program Office and the internal Apple openJDK fork used across Apple Music and Siri, Intel VP of Open Ecosystem, joining JetBrains as VP of Developer Experience, the book Fostering Open Source Culture, MineCraft Modding with Forge co-authored with his son who keynoted JavaOne at age 10, Devoxx4Kids in the US with over 200 workshops and 5000 kids taught, the not-invented-here syndrome, the conference program committee bias toward new topics, normative JSR specifications using must, shall and must not as a basis for LLM code generation, TCK and reference implementation model, Quarkus modernization of legacy J2EE applications, AGENTS.md and skill files on top of coding agents, running and weight training for mindfulness. Arun Gupta on twitter: @arungupta

He's back! Dr. Watkins joins Dave and Reb again to continue their conversation on Biblical economics. On episode #482 of “Let's Talk Money with Dave and Reb”, Dr. Watkins shares his passion for seeing people walk with God in their financial journey and how God desires to see us blessed and blessing others. He encourages listeners to give to their community and to create a culture of generosity. Today's episode is sponsored by the Canadian National Christian Foundation which helps Canadians connect God's money with God's work. Through their Donor-Advised Funds, CNCF makes giving simple and impactful, so you can focus on supporting the causes that matter most. Learn more about how they can help you CNCF.ca To order Reb's book Cultivating Trust Expanded Edition: Finding God's Hope and Freedom for Your Finances, go to https://www.amazon.ca/dp/1998412164/ref=sr_1_3?crid=XUVAMAN0TFEY&dib=eyJ2IjoiMSJ9.8x0mkzEbAurMet_Q02DjC1uI9_HBqWQlnPySUgf62Ik9smNv5IQUJVSYBOXp4dhvsmfU3vzJivqJWwrvkTfyLe4uDWay18JChGQ1QWENY4FXHjdhLEkWMLQT8BHP9Lz18vRbIHFrvkyO6ocnHFx7rS2jtZ7WVzmIhw0U7cFRtGtRdvaw7gj3W2qigq_7EBTDZBOEfMVxxeuk405kn921-o-irE3XdWX2KrJ8e0G9W1usTiTi2j-EANx4MC_ygttzlzwj_1qmQC8MCk5LxF6jXTDr1ETe1v3O1q5o0rO4H2g.pybaC103ktXcDYR0puZtPXOBpswpMjPmU0vYc-KTAnc&dib_tag=se&keywords=cultivating+trust&qid=1732127878&sprefix=cultivating+trust%2Caps%2C117&sr=8-3. To learn more about today's discussion or to connect with Dr. Watkins go to newstartministries.ca #morethanenough #finances #money #financialfitness #provisionstory #biblical #giving

Dan Ciruli is VP and General Manager of Cloud Native at Nutanix. A computer science graduate of UC Berkeley, Dan spent a decade in engineering before pivoting to product management in 2003, a role that barely had a name when he started. Since then he has held product leadership positions at EMC and Google, where he was part of the team that helped create Kubernetes and open source Google's cloud infrastructure.He was a founding member of the OpenAPI Initiative and a steering committee member for the Istio service mesh project, and has spent the last two decades with one foot in commercial product development and one in the open source community.In this episode, Dan explains why open source is not a charity exercise, how companies actually make money from code they give away for free, and what product managers get wrong when they tell their engineers to avoid it.Key takeaways— Open source is not crowdsourcing from individuals — much of the contribution comes from companies investing on the clock, because broad adoption benefits everyone more than proprietary lock-in.— The CNCF succeeded because it created a neutral space where the largest and smallest organisations felt equally safe contributing and consuming. That structure — not the code itself — is what made cloud native computing universal.— Being a product manager in open source requires the same core instinct as any other PM role: understanding the why. The difference is that your engineers may work for a competitor, and your roadmap is not entirely yours to control.— AI is multiplying the capability of both good actors and bad actors in open source security. The answer is not to slow adoption but to keep a credible human in the loop — someone with accumulated trust, judgement and accountability.— Before open sourcing your own work, be clear on how your company will make money, articulate it concisely for leadership, and then find at least one other organisation — even a competitor — willing to join you. A consortium signals a standard. A solo release signals a gamble.Chapters1:16 — From engineering to product management3:11 — Bridging open source and commercial work5:05 — The origin of Kubernetes at Google6:35 — How Nutanix embraces open source7:16 — The crowdsourcing misconception8:51 — Why the CNCF changed everything11:25 — Building a defensible moat in open source12:13 — The business models behind free code14:18 — Managing roadmaps you don't fully control15:04 — When your competitor writes your code16:04 — The CEO who wore his secrets around his neck18:13 — Developing an open source strategy19:37 — The one question every PM must ask22:44 — What is the CNCF?23:34 — AI, open source and the security arms race29:45 — Chop wood, carry water: the human in the loop31:48 — Advice for PMs running open source products33:15 — Harnessing a community you don't manage34:38 — Should you open source your own work?36:35 — How messy does it really get?39:33 — Linux is an anti-patternOur HostsLily Smith enjoys working as a consultant product manager with early-stage and growing startups and as a mentor to other product managers. She's currently Chief Product Officer at BBC Maestro, and has spent 13 years in the tech industry working with startups in the SaaS and mobile space. She's worked on a diverse range of products – leading the product teams through discovery, prototyping, testing and delivery. Lily also founded ProductTank Bristol and runs ProductCamp in Bristol and Bath.Randy Silver is a Leadership & Product Coach and Consultant. He gets teams unstuck, helping you to supercharge your results. Randy's held interim CPO and Leadership roles at scale-ups and SMEs, advised start-ups, and been Head of Product at HSBC and Sainsbury's. He participated in Silicon Valley Product Group's Coaching the Coaches forum, and speaks frequently at conferences and events. You can join one of communities he runs for CPOs (CPO Circles), Product Managers (Product In the {A}ether) and Product Coaches. He's the author of What Do We Do Now? A Product Manager's Guide to Strategy in the Time of COVID-19. A recovering music journalist and editor, Randy also launched Amazon's music stores in the US & UK.

Join us for stories from out West! God is at work across the country and Dr. Stuart Watkins joins Dave and Reb to tell his journey of wrestling with God's message of financial blessing for his life. On episode #481 of “Let's Talk Money with Dave and Reb”, Dr. Watkins introduces the lessons of blessing and love that God shared with him through the Bible, and emphasizes the importance of relationship with God above pursuing wealth. Today's episode is sponsored by the Canadian National Christian Foundation which helps Canadians connect God's money with God's work. Through their Donor-Advised Funds, CNCF makes giving simple and impactful, so you can focus on supporting the causes that matter most. Learn more about how they can help you CNCF.ca To order Reb's book Cultivating Trust Expanded Edition: Finding God's Hope and Freedom for Your Finances, go to https://www.amazon.ca/dp/1998412164/ref=sr_1_3?crid=XUVAMAN0TFEY&dib=eyJ2IjoiMSJ9.8x0mkzEbAurMet_Q02DjC1uI9_HBqWQlnPySUgf62Ik9smNv5IQUJVSYBOXp4dhvsmfU3vzJivqJWwrvkTfyLe4uDWay18JChGQ1QWENY4FXHjdhLEkWMLQT8BHP9Lz18vRbIHFrvkyO6ocnHFx7rS2jtZ7WVzmIhw0U7cFRtGtRdvaw7gj3W2qigq_7EBTDZBOEfMVxxeuk405kn921-o-irE3XdWX2KrJ8e0G9W1usTiTi2j-EANx4MC_ygttzlzwj_1qmQC8MCk5LxF6jXTDr1ETe1v3O1q5o0rO4H2g.pybaC103ktXcDYR0puZtPXOBpswpMjPmU0vYc-KTAnc&dib_tag=se&keywords=cultivating+trust&qid=1732127878&sprefix=cultivating+trust%2Caps%2C117&sr=8-3. To learn more about today's discussion or to connect with Dr. Watkins go to newstartministries.ca #morethanenough #finances #money #financialfitness #provisionstory #blessing

How are we called to give? This topic is one of Dave and Reb's favorite things to talk about and on episode #480 of “Let's Talk Money with Dave and Reb”, they invite Rev. Ray Borg to join them in discussion around what builds an ‘earthly kingdom' and what builds a ‘heavenly kingdom'. The co-hosts encourage listeners to expand their definition of what tithing looks like, and listen to God about where and how to give in the financial season they are in. Today's episode is sponsored by the Canadian National Christian Foundation which helps Canadians connect God's money with God's work. Through their Donor-Advised Funds, CNCF makes giving simple and impactful, so you can focus on supporting the causes that matter most. Learn more about how they can help you CNCF.ca To order Reb's book Cultivating Trust Expanded Edition: Finding God's Hope and Freedom for Your Finances, go to https://www.amazon.ca/dp/1998412164/ref=sr_1_3?crid=XUVAMAN0TFEY&dib=eyJ2IjoiMSJ9.8x0mkzEbAurMet_Q02DjC1uI9_HBqWQlnPySUgf62Ik9smNv5IQUJVSYBOXp4dhvsmfU3vzJivqJWwrvkTfyLe4uDWay18JChGQ1QWENY4FXHjdhLEkWMLQT8BHP9Lz18vRbIHFrvkyO6ocnHFx7rS2jtZ7WVzmIhw0U7cFRtGtRdvaw7gj3W2qigq_7EBTDZBOEfMVxxeuk405kn921-o-irE3XdWX2KrJ8e0G9W1usTiTi2j-EANx4MC_ygttzlzwj_1qmQC8MCk5LxF6jXTDr1ETe1v3O1q5o0rO4H2g.pybaC103ktXcDYR0puZtPXOBpswpMjPmU0vYc-KTAnc&dib_tag=se&keywords=cultivating+trust&qid=1732127878&sprefix=cultivating+trust%2Caps%2C117&sr=8-3. Today's conversation was prompted by a newsletter from Bob Lotich at SeedTime. Go to seedtime.com to learn more. #morethanenough #finances #money #financialfitness #tithing

Agentic AI is advancing rapidly, with open-source projects racing to keep pace with real-world deployment. To accelerate progress, the Linux Foundation consolidated key technologies—Model Context Protocol (MCP), Goose, and AGENTS.md—under the newly formed Agentic AI Foundation (AAIF) in late 2025. At the MCP Dev Summit in New York City, Linux Foundation CEO Jim Zemlin and newly appointed AAIF executive director Mazin Gilbert discussed this transition. Zemlin explained that leading both organizations was unsustainable, prompting a careful search for a leader with both technical expertise and collaborative leadership skills. Gilbert now takes on the challenge of guiding AAIF as it shapes the emerging agentic AI ecosystem. While the foundation currently oversees three projects, its broader mission involves defining the future architecture of agent-driven systems—deciding what to build, when, and why. These decisions will influence the trajectory of open-source AI development. The conversation also highlights the importance of open collaboration, funding dynamics, and early adopters in shaping the agentic stack's evolution.   Learn more from The New Stack around the latest in open-source projects and The Linux Foundation:  Anthropic Donates the MCP Protocol to the Agentic AI Foundation SAFE-MCP, a Community-Built Framework for AI Agent Security Google Donates the Agent2Agent Protocol to the Linux Foundation Join our community of newsletter subscribers to stay on top of the news and at the top of your game.

Keep the Raccoons Out: Service Mesh, MCP, and Securing Agentic Workloads With William Morgan, CEO of Buoyant and creator of Linkerd Linkerd just turned 10, so we brought on the person who built it and coined the term “service mesh” in the first place. William Morgan joins Jonathan and Justin to talk about where service mesh came from, where it’s going, and the very specific kind of chaos that agentic AI is about to unleash on anyone who owns a Kubernetes cluster. The short version: lock your doors, because the raccoons are coming. “Our job is basically to make Linkerd as boring as possible.” William traces Linkerd’s origins back to Twitter’s infrastructure work between 2010 and 2014, when a Ruby on Rails monolith turned into a sprawling distributed system — the same problems we have today, just a different decade. As the fifth project ever to join the CNCF, Linkerd has had a front-row seat to the ecosystem’s evolution, and William explains why his actual goal these days is to make it as boring as humanly possible: the kind of dependable infrastructure layer you can trust to still be around in another 90 years. That’s also why he’s not adding AI to Linkerd — an infrastructure layer has to be fast, lightweight, and predictable, and generative AI is the opposite of all three. “At some point your agentic workload is going to figure out how to delete the production database. And it’s going to try it.” The heart of the conversation is what the AI wave means for the platform teams who own the clusters. Developers just got an army of AI assistants, and that has real consequences for CI/CD, code quality, and blast radius. William digs into the boundary problem — agentic workloads are untrusted but need access to your most important systems — and why zero trust has suddenly stopped being optional now that the code hitting your database no longer clears peer review and a security committee. Along the way they get into cache-aware routing that can take a 13-second inference call down to one, the still-unsolved mess of agentic identity, and why we keep anthropomorphizing these tools and letting our guard down. “If you don’t use Linkerd, your data system will be overrun by raccoons.” Finally, they turn to MCP — building a catalog of MCP servers, detecting tool calls, and adding DLP-style protection in front of the services an agent never sees. But William’s real point is that MCP is something of a red herring for a much older problem: uncontrolled access to your APIs. Whatever protocol you use, once an unconstrained workload is loose in your environment, you need an immune system to keep it in check. Links and resources: Linkerd:

Kubernetes is rapidly emerging as the de facto operating system for AI, with two-thirds of organizations using it for generative AI inference and 82% adopting it in production. Its ecosystem — including tools like Kubeflow — enables organizations to build, scale, and retain control of AI systems through open, community-driven infrastructure. Bob Killen of CNCF and Liam Bollmann-Dodd of SlashData shared insights from recent reports showing that AI success still hinges on strong engineering fundamentals—especially internal developer platforms and overall developer experience. While AI-generated code accelerates development, it shifts bottlenecks to DevOps, reliability, and security, increasing operational complexity. As a result, operator experience and well-defined guardrails have become critical to safely scaling AI. These controls help constrain both human and AI developers, reducing risk while enabling speed. At the same time, organizations are evolving team structures, expanding platform engineering groups to support internal users more effectively. Despite growing complexity, the core lesson remains consistent: open source innovation thrives on people, processes, and collaboration as much as on technology itself. Learn more from The New Stack around the latest in Kubernetes and its emergence as an operating system for AI:  Kubernetes and AI: Are They a Fit? How AI Is Pushing Kubernetes Storage Beyond Its Limits Kubernetes and AI Are Shaping the Next Generation of Platforms Join our community of newsletter subscribers to stay on top of the news and at the top of your game. 

Dave and Reb are excited to add another tool to the financial health toolbox! On episode #479 of “Let's Talk Money with Dave and Reb”, the co-hosts introduce More Than Enough's new financial conversation starter; allowing you to dig into the deeper question around your personal financial journey. Whether you are single, married, or dating, these cards encourage communication and vulnerability around your relationship with God and money. Today's episode is sponsored by the Canadian National Christian Foundation which helps Canadians connect God's money with God's work. Through their Donor-Advised Funds, CNCF makes giving simple and impactful, so you can focus on supporting the causes that matter most. Learn more about how they can help you CNCF.ca To order Reb's book Cultivating Trust Expanded Edition: Finding God's Hope and Freedom for Your Finances, go to https://www.amazon.ca/dp/1998412164/ref=sr_1_3?crid=XUVAMAN0TFEY&dib=eyJ2IjoiMSJ9.8x0mkzEbAurMet_Q02DjC1uI9_HBqWQlnPySUgf62Ik9smNv5IQUJVSYBOXp4dhvsmfU3vzJivqJWwrvkTfyLe4uDWay18JChGQ1QWENY4FXHjdhLEkWMLQT8BHP9Lz18vRbIHFrvkyO6ocnHFx7rS2jtZ7WVzmIhw0U7cFRtGtRdvaw7gj3W2qigq_7EBTDZBOEfMVxxeuk405kn921-o-irE3XdWX2KrJ8e0G9W1usTiTi2j-EANx4MC_ygttzlzwj_1qmQC8MCk5LxF6jXTDr1ETe1v3O1q5o0rO4H2g.pybaC103ktXcDYR0puZtPXOBpswpMjPmU0vYc-KTAnc&dib_tag=se&keywords=cultivating+trust&qid=1732127878&sprefix=cultivating+trust%2Caps%2C117&sr=8-3. #morethanenough #finances #money #financialfitness #financialplanning #advisor

Broadcom continues to expand its role as a major contributor to cloud-native open source, particularly within the Cloud Native Computing Foundation (CNCF) ecosystem. Its recent donation of Velero—originally developed by VMware—to the CNCF Sandbox reflects a strategic move to foster broader community trust and collaboration. By shifting governance away from vendor control, Broadcom aims to position Velero as a truly community-driven data protection standard for Kubernetes environments, encouraging wider adoption and contribution.  At the same time, the company is reinforcing its position as a full-stack Kubernetes provider across both cloud-native and private cloud environments. Despite Kubernetes' dominance, many organizations still struggle with its complexity. Broadcom is addressing this by focusing on lifecycle management, long-term support, and deep integration with existing infrastructure like vSphere.  In a podcast recorded at KubeCon + CloudNativeCon Europe 2026, Dilpreet Bindra emphasized that open source success comes not just from code contributions, but also from relinquishing control to empower the broader ecosystem and drive sustainable innovation.  Learn more from The New Stack about the latest developments around Velero:  Broadcom donates Velero to CNCF — and it could reshape how Kubernetes users handle backup and disaster recovery  How AI Search Is Supporting Artistic Freedom  Join our community of newsletter subscribers to stay on top of the news and at the top of your game. 

Graduating within the CNCF marks a major milestone for an open source project, signaling not just technical maturity but strong governance, security practices, and widespread adoption. Kyverno, a Kubernetes policy engine, reached this stage after five years — becoming only the 35th project to progress from sandbox to graduation. As co-founder Jim Bugwadia explains, incubation reflects production readiness and adoption, while graduation validates the project's long-term sustainability and governance rigor. Originally built to help teams manage Kubernetes complexity through declarative policies, Kyverno has evolved alongside the ecosystem. Its shift to the Kubernetes-native Common Expression Language (CEL) and rising demand driven by AI workloads have expanded its user base beyond regulated industries to mainstream enterprises. With over three billion downloads, it underscores the growing need for automated policy enforcement across development, security, and operations teams. Commercially, Nirmata maintains a clear boundary between open source and enterprise offerings, focusing on remediation and advanced management. While only 2–5% of users convert, that small percentage becomes meaningful at Kyverno's scale. Learn more from The New Stack around the latest about Kyverno: Simplify Kubernetes Security With Kyverno and OPA Gatekeeper Using the Kyverno CLI to Write Policy Test Cases Join our community of newsletter subscribers to stay on top of the news and at the top of your game. 

#347: Andrei Kvapil has been around Kubernetes since the early days. Contributor to Cilium, Kubevirt, and a handful of other projects you probably use without realizing it. He is also the maintainer of Cozystack, a CNCF sandbox project, and the CEO of Aenix, the company behind it. The thesis: Kubernetes should be boring. Not exciting, not cutting-edge, not the thing everyone argues about. Boring like the Linux kernel is boring. Something that sits underneath everything and nobody needs to think about. Viktor takes it one step further and says it should be invisible -- developers should never need to know Kubernetes exists, any more than they need to know what kernel their laptop is running. Cozystack is Andrei's answer to a specific problem. ISPs, banks, finops shops, anyone in Europe who cannot or will not put their data in AWS -- they all want to offer managed databases, managed Kubernetes, object storage, the whole stack. Building that from scratch is hard. Running OpenStack requires a dedicated team that does nothing but tune networking. Cozystack bundles the pieces (Kubevirt, CloudNative Postgres, Cilium, etc) into one product with an aggregation API layer on top of Kubernetes itself. Helm becomes the extension language. The platform becomes a product. Then the conversation takes a turn. Andrei is the CEO of a bootstrapped company and he says flatly that without AI the company would not exist. Claude Code is moving Kanban cards. Clients send files generated by their AI agent and Aenix feeds those files to their AI agent to generate the response. Andrei's only wish is for this middle step -- him -- to stop existing. Let the agents talk to each other and call him when something actually matters. There is a hiring question in here too. If the next generation of engineers starts their career with AI on the first commit, do they ever build the mental model that lets them guide the agent when it goes wrong? Andrei thinks you still need deep understanding for anything serious. Viktor agrees. Speed versus quality is still a choice, and juniors who skip the "write it three times until it stops being garbage" phase are going to feel that gap eventually.   Andrei's contact information: LinkedIn: https://www.linkedin.com/in/kvaps/   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, Ronald and Jan are joined by Nigel Douglas, Head of Developer Relations at Cloudsmith, to discuss the upcoming Kubernetes 1.36 release and the broader evolution of the Kubernetes ecosystem.Nigel shares his journey from help desk and cybersecurity roles into open source, eventually working closely with Kubernetes through projects like Calico and Falco within the CNCF ecosystem. The conversation centers around Kubernetes 1.36, which marks a shift from foundational features toward optimization and new use cases. A major theme in this release is the growing importance of AI workloads. Kubernetes is increasingly positioned as the orchestration platform for AI, with features like Dynamic Resource Allocation (DRA) enabling better management of GPUs and specialized hardware. Security is another dominant theme. Many of the changes in this release focus on closing gaps and improving control, such as more fine-grained authorization, better admission control during node startup, and addressing previously existing vulnerabilities. Additionally, the episode highlights several practical improvements, including better snapshot capabilities for stateful workloads, enhanced observability features like native histograms, and improvements in workload scheduling that take hardware topology into account. The discussion also touches on a common challenge in the Kubernetes world: upgrading. Many organizations still run older versions due to the complexity of dependencies and ecosystem changes, making transitions non-trivial. Looking ahead, Nigel emphasizes the need for more standardization within Kubernetes to make it easier for organizations to adapt when components change or become deprecated, reinforcing the importance of a stable and predictable ecosystem. ‍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

Running AI models on Kubernetes has historically been inconsistent, with workloads behaving differently across cloud providers due to variations in GPUs, networking, and autoscaling. As organizations move AI from experimentation to production, standardization has become critical. In this episode of The New Stack Makers, Jonathan Bryce, Executive Director of The Cloud Native Computing Foundation shared that the Foundation's Kubernetes AI conformance program aims to solve this by ensuring portability, predictability, and production readiness for AI workloads across environments. The initiative reflects a broader industry shift: AI is moving from training-heavy workloads to inference at scale, with inference expected to dominate compute usage by the end of the decade. Unlike batch-based training, inference requires real-time, always-on performance, making Kubernetes an attractive platform due to its elasticity, GPU-aware autoscaling, and observability. The conformance program establishes baseline standards for handling accelerators like GPUs and TPUs, reducing vendor lock-in and simplifying deployment. Early adopters include major cloud providers and ecosystem players, while new projects like llm-d aim to bridge orchestration and inference. As requirements evolve, ongoing collaboration and recertification will ensure the standards stay aligned with real-world needs. Learn more from The New Stack about the latest developments around The Cloud Native Computing Foundation's Kubernetes AI conformance program: CNCF: Kubernetes is ‘foundational' infrastructure for AI Kubernetes Gets an AI Conformance Program — and VMware Is Already On Board Join our community of newsletter subscribers to stay on top of the news and at the top of your game. 

This interview was recorded for GOTO Unscripted.https://gotopia.techWilliam Rizzo - Global Field CTO at Mirantis & CNCF AmbassadorColin Griffin - CEO at Krumware & Co-Chair of CNCF Platform Engineering Working GroupRESOURCESWilliamhttps://bsky.app/profile/williamrizzo.bsky.socialhttps://www.linkedin.com/in/william-rizzohttps://github.com/wrkodeColinhttps://bsky.app/profile/devnetes.bsky.socialhttps://github.com/krumwarehttps://www.linkedin.com/in/colin-e-griffinLinkshttps://www.cncf.io/reports/cloud-native-artificial-intelligence-whitepaperhttps://cloudnativeplatforms.com/whitepapers/platform-eng-maturity-modelDESCRIPTIONColin Griffin and William Rizzo explore the evolving state of platform engineering in 2026. They discuss how the discipline plays out very differently across verticals such as fintech, telco, and automotive, and why generic frameworks must be tailored to the unique regulatory, cultural, and technical realities of each industry.The conversation moves through the growing pressure to align platform investments with measurable business outcomes, the distinct compliance challenges facing European organizations under tightening AI regulation, and the infrastructure reckoning triggered by large-scale GPU investment. Both speakers converge on a shared wish: that the CNCF Platform Engineering White Paper and Maturity Model be updated to reflect vertical-specific guidance, informed directly by end-user organizations.RECOMMENDED BOOKSGregor Hohpe • Platform Strategy • https://amzn.to/4cxfYdbGregor Hohpe • Cloud Strategy • https://amzn.to/3TOS3NvZhamak Dehghani • Data Mesh • https://amzn.to/3tTCwACSandeep Uttamchandani • The Self-Service Data Roadmap • https://amzn.to/3wAw5W2BlueskyInstagramLinkedInFacebookCHANNEL MEMBERSHIP BONUSJoin this channel to get early access to videos & other perks:https://www.youtube.com/channel/UCs_tLP3AiwYKwdUHpltJPuA/joinLooking for a unique learning experience?Attend the next GOTO conference near you! Get your ticket: gotopia.techSUBSCRIBE TO OUR YOUTUBE CHANNEL - new videos posted daily!

#344: Kubernetes is boring now. That's the whole point. KubeCon EU 2026 in Amsterdam -- likely the biggest KubeCon ever at more than 13,000 attendees -- made one thing extremely clear: the container orchestrator is done being interesting on its own. Every keynote, every new sandbox project, every vendor announcement pointed the same direction. AI. Inference. Agents. NVIDIA donated a DRA driver for GPUs to CNCF. Google open-sourced their cluster autoscaler and shipped a DRA driver for TPUs. Red Hat brought LLM-D for disaggregated inference. NVIDIA contributed the KAI Scheduler for AI workloads. The Gateway API now has an inference extension in beta -- model routing baked directly into the Kubernetes networking layer. And here's the thing Whitney pointed out that should make everyone pause: you can't even run inference workloads in containers. They can escape. You need micro VMs. So the container orchestrator is orchestrating things that aren't containers. The platform engineering conversation shifted too. The bottleneck isn't technology anymore -- it's culture. Getting teams to work together differently. And if your company can't trust its own employees to make decisions, good luck trusting agents. Viktor's take on the determinism objection was blunt: agents aren't deterministic, but neither are you. You just think you are. One thread that kept surfacing: agents as first-class platform users. Not agents doing agent things -- agents as the users your platform serves. Viktor sees it in real time -- pull requests created by agents, reviewed by his Claude, responses written by the submitter's agent. Humans aren't even in the conversation anymore. The new CNCF sandbox projects tell the story too. LLM-D, KAI Scheduler, Higress (AI-native gateway). And then Velero -- the Kubernetes backup tool that everyone assumed was already CNCF -- finally donated by Broadcom. Which raises a fair question: is CNCF becoming a dumping ground for projects companies don't want to maintain? Probably some of both. Viktor compared the current state to the first five years of Kubernetes -- everyone focused on low-level components, trying to figure out how to combine 57 different tools. The next wave will be higher-level platforms that bundle all of it. And somewhere underneath it all, the mainframe keeps running. Viktor's bet: it'll outlive AI.   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

Send us Fan MailCraig McLuckie is the Founder and CEO of Stacklok and one of the original inventors of Kubernetes — the open-source container orchestration system that became the backbone of modern cloud infrastructure. After leading Kubernetes into the CNCF and navigating VMware's pivot under Broadcom, Craig made a sharp turn and founded Stacklok: an Enterprise MCP Platform designed to make developers and AI agents dramatically more productive in secure, enterprise environments.In this episode, Craig and Al Martin explore what it means to build again after building something that changed the industry — and what the next wave of enterprise AI infrastructure actually requires.In this episode:01:14 Meet Craig McLuckie — background, Kubernetes origins10:08 Tanzu and Broadcom — what that chapter looked like from the inside11:28 Stacklok and the Big Pivot — why MCP, why now19:57 I Don't Know! — a rare founder moment of intellectual honesty21:32 Success is a Poor Teacher — what winning can hide from you23:36 The Future Developer — how AI changes what developers do26:38 Hiring Developers — what Craig looks for nowConnect with Craig: LinkedIn: https://www.linkedin.com/in/craigmcluckie/ Website: http://stacklok.comWant to be featured as a guest on Making Data Simple?  Reach out to us at almartintalksdata@gmail.com and tell us why you should be next.  The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun. 

Send us Fan MailCraig McLuckie is the Founder and CEO of Stacklok and one of the original inventors of Kubernetes — the open-source container orchestration system that became the backbone of modern cloud infrastructure. After leading Kubernetes into the CNCF and navigating VMware's pivot under Broadcom, Craig made a sharp turn and founded Stacklok: an Enterprise MCP Platform designed to make developers and AI agents dramatically more productive in secure, enterprise environments.In this episode, Craig and Al Martin explore what it means to build again after building something that changed the industry — and what the next wave of enterprise AI infrastructure actually requires.In this episode:01:14 Meet Craig McLuckie — background, Kubernetes origins10:08 Tanzu and Broadcom — what that chapter looked like from the inside11:28 Stacklok and the Big Pivot — why MCP, why now19:57 I Don't Know! — a rare founder moment of intellectual honesty21:32 Success is a Poor Teacher — what winning can hide from you23:36 The Future Developer — how AI changes what developers do26:38 Hiring Developers — what Craig looks for nowConnect with Craig: LinkedIn: https://www.linkedin.com/in/craigmcluckie/ Website: http://stacklok.comWant to be featured as a guest on Making Data Simple?  Reach out to us at almartintalksdata@gmail.com and tell us why you should be next.  The Making Data Simple Podcast is hosted by Al Martin, WW VP Technical Sales, IBM, where we explore trending technologies, business innovation, and leadership ... while keeping it simple & fun. 

Investing often brings to mind images of wealthy individuals gambling vast amounts of money and centering a love of money over relational wealth. However, on episode #472 of “Let's Talk Money with Dave and Reb”, Brent Vandermeer presents a more realistic explanation of investing and explains how anyone, even individuals not making a lot of money, can use investing to secure their future. From important terminology to helpful advice, the co-hosts explore the foundation for how to dive into the world of investing! Today's episode is sponsored by the Canadian National Christian Foundation which helps Canadians connect God's money with God's work. Through their Donor-Advised Funds, CNCF makes giving simple and impactful, so you can focus on supporting the causes that matter most. Learn more about how they can help you CNCF.ca. To order Reb's book Cultivating Trust Expanded Edition: Finding God's Hope and Freedom for Your Finances, go to https://www.amazon.ca/dp/1998412164/ref=sr_1_3?crid=XUVAMAN0TFEY&dib=eyJ2IjoiMSJ9.8x0mkzEbAurMet_Q02DjC1uI9_HBqWQlnPySUgf62Ik9smNv5IQUJVSYBOXp4dhvsmfU3vzJivqJWwrvkTfyLe4uDWay18JChGQ1QWENY4FXHjdhLEkWMLQT8BHP9Lz18vRbIHFrvkyO6ocnHFx7rS2jtZ7WVzmIhw0U7cFRtGtRdvaw7gj3W2qigq_7EBTDZBOEfMVxxeuk405kn921-o-irE3XdWX2KrJ8e0G9W1usTiTi2j-EANx4MC_ygttzlzwj_1qmQC8MCk5LxF6jXTDr1ETe1v3O1q5o0rO4H2g.pybaC103ktXcDYR0puZtPXOBpswpMjPmU0vYc-KTAnc&dib_tag=se&keywords=cultivating+trust&qid=1732127878&sprefix=cultivating+trust%2Caps%2C117&sr=8-3. To access the Beginner's Guide to Investing, click here - https://www.crosspointfinancial.ca/beginners-guide-to-investing/. #morethanenough #finances #money #financialfitness #investment

It's time to FACE your finances! Dave and Reb share the secret behind their favorite acronym, and encourage listeners to not only look at their finances, but also to apply practical financial literacy tips to their lives. On episode #471 of “Let's Talk Money with Dave and Reb”, the co-hosts reveal that God encourages us not only to see our financial reality but also to actively monitor where and how money leaves our bank accounts. Today's episode is sponsored by the Canadian National Christian Foundation which helps Canadians connect God's money with God's work. Through their Donor-Advised Funds, CNCF makes giving simple and impactful, so you can focus on supporting the causes that matter most. Learn more about how they can help you CNCF.ca. To order Reb's book Cultivating Trust Expanded Edition: Finding God's Hope and Freedom for Your Finances, go to https://www.amazon.ca/dp/1998412164/ref=sr_1_3?crid=XUVAMAN0TFEY&dib=eyJ2IjoiMSJ9.8x0mkzEbAurMet_Q02DjC1uI9_HBqWQlnPySUgf62Ik9smNv5IQUJVSYBOXp4dhvsmfU3vzJivqJWwrvkTfyLe4uDWay18JChGQ1QWENY4FXHjdhLEkWMLQT8BHP9Lz18vRbIHFrvkyO6ocnHFx7rS2jtZ7WVzmIhw0U7cFRtGtRdvaw7gj3W2qigq_7EBTDZBOEfMVxxeuk405kn921-o-irE3XdWX2KrJ8e0G9W1usTiTi2j-EANx4MC_ygttzlzwj_1qmQC8MCk5LxF6jXTDr1ETe1v3O1q5o0rO4H2g.pybaC103ktXcDYR0puZtPXOBpswpMjPmU0vYc-KTAnc&dib_tag=se&keywords=cultivating+trust&qid=1732127878&sprefix=cultivating+trust%2Caps%2C117&sr=8-3. #morethanenough #finances #money #financialfitness #debt #FACE #financialliteracy

Contributing to Open Source is easier than ever - especially because contributions are needed for documentation, demos, tutorials and code. But how to get started? Where to look for "first good issues"? Is everyone welcome? What are the prerequisites?Tune in and hear from Diana Todea, Developer Experience Engineer at Victoria Metrics, on how within a year she made it from Zero to Developer and receiving the Contributor Award for OpenTelemetry 2025 at KubeCon Atlanta. Diana shares her journey, how she started, how she found the right topic and how she keeps herself motivated. Diana is also the Co-lead of the Neurodiversity CNCF Working Group and gives us insights into the Merge Forward community. And don't forget: Call for Papers for Cloud Native Days Romania and Austria are open and both Diana and Andi would be glad to see your proposals!So - what are you waiting for?Links we discussed:Diana's LinkedIn: https://www.linkedin.com/in/diana-todea-b2a79968/ From Zero to Developer Talk: https://www.youtube.com/watch?v=nPrxpEE5GpY Contributor Award: https://siliconangle.com/2025/11/13/accessibility-meets-open-source-collaboration-kubeconna/ Her latest CNCF Blog Post: https://www.cncf.io/blog/2025/12/04/my-first-kubecon-cloudnativecon-a-journey-through-community-inclusivity-and-neurodiversity/Start contributing to Open Source: https://contribute.cncf.io/contributors/getting-started/ Diana's Conference Talks: https://github.com/didiViking/Conferences_Talks Diana on Medium: https://medium.com/@dianatodea/ Articles on OpenTelemetry for beginners: https://medium.com/@dianatodea/the-unofficial-guide-to-contributing-to-opentelemetry-where-to-look-and-who-to-talk-to-9de04ae75fe0 CNCF Merge-Forward: https://community.cncf.io/merge-forwardCNCF Neurodiversity initiative: https://community.cncf.io/neurodiversity Cloud Native Days Romania: https://cloudnativedays.ro/Cloud Native Days Austria: https://cloudnativedays.at/ 

Debt and the cost of daily living often make us question how we are to do God's work when we are struggling to find money to survive. On episode #466 of “Let's Talk Money with Dave and Reb”, the co-hosts listen as Dylan Armstrong shares his story of God's provision and how he went from below broke to home ownership in two years! Dylan inspires listeners as he shares how trusting God and giving everything led him to places and opportunities that he did not plan or expect. Today's episode is sponsored by the Canadian National Christian Foundation which helps Canadians connect God's money with God's work. Through their Donor-Advised Funds, CNCF makes giving simple and impactful, so you can focus on supporting the causes that matter most. Learn more about how they can help you CNCF.ca To order Reb's book Cultivating Trust Expanded Edition: Finding God's Hope and Freedom for Your Finances, go to https://www.amazon.ca/dp/1998412164/ref=sr_1_3?crid=XUVAMAN0TFEY&dib=eyJ2IjoiMSJ9.8x0mkzEbAurMet_Q02DjC1uI9_HBqWQlnPySUgf62Ik9smNv5IQUJVSYBOXp4dhvsmfU3vzJivqJWwrvkTfyLe4uDWay18JChGQ1QWENY4FXHjdhLEkWMLQT8BHP9Lz18vRbIHFrvkyO6ocnHFx7rS2jtZ7WVzmIhw0U7cFRtGtRdvaw7gj3W2qigq_7EBTDZBOEfMVxxeuk405kn921-o-irE3XdWX2KrJ8e0G9W1usTiTi2j-EANx4MC_ygttzlzwj_1qmQC8MCk5LxF6jXTDr1ETe1v3O1q5o0rO4H2g.pybaC103ktXcDYR0puZtPXOBpswpMjPmU0vYc-KTAnc&dib_tag=se&keywords=cultivating+trust&qid=1732127878&sprefix=cultivating+trust%2Caps%2C117&sr=8-3. To listen to the audiobook please find it here: https://open.spotify.com/show/7FCzANDapS7Eni6YIdIWM5?si=6dc65d94c1c44a2c&nd=1&dlsi=cbb53cbd7ccf4e02. To contact Dylan, go to www.revdcoaching.ca #morethanenough #finances #money #financialfitness #provisionstory

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

It's everyone's favorite time of year… Tax Season! On episode #465 of “Let's Talk Money with Dave and Reb” the co-hosts talk with Stephen Tibben, More Than Enough's tax specialist, about how to prepare for tax season. While taxes often bring anxiety and frustration, Stephen reminds listeners of the important deadlines coming up for Canadians and how to best prepare and access documents for filing your income tax, whether you are doing it yourself or through a third party. Today's episode is sponsored by the Canadian National Christian Foundation which helps Canadians connect God's money with God's work. Through their Donor-Advised Funds, CNCF makes giving simple and impactful, so you can focus on supporting the causes that matter most. Learn more about how they can help you CNCF.ca To order Reb's book Cultivating Trust Expanded Edition: Finding God's Hope and Freedom for Your Finances, go to https://www.amazon.ca/dp/1998412164/ref=sr_1_3?crid=XUVAMAN0TFEY&dib=eyJ2IjoiMSJ9.8x0mkzEbAurMet_Q02DjC1uI9_HBqWQlnPySUgf62Ik9smNv5IQUJVSYBOXp4dhvsmfU3vzJivqJWwrvkTfyLe4uDWay18JChGQ1QWENY4FXHjdhLEkWMLQT8BHP9Lz18vRbIHFrvkyO6ocnHFx7rS2jtZ7WVzmIhw0U7cFRtGtRdvaw7gj3W2qigq_7EBTDZBOEfMVxxeuk405kn921-o-irE3XdWX2KrJ8e0G9W1usTiTi2j-EANx4MC_ygttzlzwj_1qmQC8MCk5LxF6jXTDr1ETe1v3O1q5o0rO4H2g.pybaC103ktXcDYR0puZtPXOBpswpMjPmU0vYc-KTAnc&dib_tag=se&keywords=cultivating+trust&qid=1732127878&sprefix=cultivating+trust%2Caps%2C117&sr=8-3. To listen to the audiobook please find it here: https://open.spotify.com/show/7FCzANDapS7Eni6YIdIWM5?si=6dc65d94c1c44a2c&nd=1&dlsi=cbb53cbd7ccf4e02. Prosper Canada information about what you need to know: https://www.newswire.ca/news-releases/tax-tip-important-changes-to-the-2025-income-tax-package-what-you-need-to-know-896553524.html?utm_source=Prosper+Canada+Subscriptions+%5BAll%5D&utm_campaign=f63e2ce849-Media_Monitoring_January_8_COPY_01&utm_medium=email&utm_term=0_536ea6808f-f63e2ce849-209782524&mc_cid=f63e2ce849&mc_eid=e2030b7b95 To find the CRA tax portal go here: https://www.canada.ca/en/revenue-agency/services/e-services/cra-login-services.html #morethanenough #finances #money #financialfitness #tax

Chris Aniszczyk, co-founder and CTO of the Cloud Native Computing Foundation (CNCF), argues that AI agents resemble microservices at a surface level, though they differ in how they are scaled and managed. In an interview ahead of KubeCon/CloudNativeCon Europe, he emphasized that being “AI native” requires being cloud native by default. Cloud-native technologies such as containers, microservices, Kubernetes, gRPC, Prometheus, and OpenTelemetry provide the scalability, resilience, and observability needed to support AI systems at scale. Aniszczyk noted that major AI platforms like ChatGPT and Claude already rely on Kubernetes and other CNCF projects.To address growing complexity in running generative and agentic AI workloads, the CNCF has launched efforts to extend its conformance programs to AI. New requirements—such as dynamic resource allocation for GPUs and TPUs and specialized networking for inference workloads—are being handled inconsistently across the industry. CNCF aims to establish a baseline of compatibility to ensure vendor neutrality. Aniszczyk also highlighted CNCF incubation projects like Metal³ for bare-metal Kubernetes and OpenYurt for managing edge-based Kubernetes deployments. Learn more from The New Stack about CNCF and what to expect in 2026:Why the CNCF's New Executive Director Is Obsessed With InferenceCNCF Dragonfly Speeds Container, Model Sharing with P2PJoin 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.

This week, we discuss Gemini powering Siri, AWS's biggest competitor, and AWS strategy choices. Plus, when should your next meeting actually start? Watch the YouTube Live Recording of Episode (https://www.youtube.com/live/bkN3SDWXYZE?si=5RoIyZ6lz_Hfi7nE) 555 (https://www.youtube.com/live/bkN3SDWXYZE?si=5RoIyZ6lz_Hfi7nE) Runner-up Titles Swedish Death Cleaning Give it a best effort Trying it bad for profits. That pen better be really good You do all the nerd shit, we'll be cool Looking at a hundred rabbits' assholes. The Kremlinologist of AWS The aaSes of Cloud They'll like our apples better Running on hopes and dreams until you're sure they don't exist What we have is a situation Rundown Apple gets AI from Google Joint statement from Google and Apple (https://blog.google/company-news/inside-google/company-announcements/joint-statement-google-apple/) Kuo: Apple's AI Deal With Google Is Temporary and Buys It Time (https://www.macrumors.com/2026/01/13/apple-google-ai-deal-is-temporary/) Google's Apple AI deal marks 'huge loss' for OpenAI (https://finance.yahoo.com/news/googles-apple-ai-deal-marks-huge-loss-for-openai-110002996.html) AWS in 2026: The Year of Proving They Still Know How to Operate (https://www.lastweekinaws.com/blog/aws-in-2026-the-year-of-proving-they-still-know-how-to-operate/?ck_subscriber_id=512840665&utm_source=convertkit&utm_medium=email&utm_campaign=[Last%20Week%20in%20AWS]%20AWS%20in%202026:%20The%20Year%20of%20Proving%20They%20Still%20Know%20How%20to%20Operate%20-%2020306960) Relevant to your Interests Anthropic reportedly raising $10B at $350B valuation (https://techcrunch.com/2026/01/07/anthropic-reportedly-raising-10b-at-350b-valuation/) Dell Reverses Course, Brings Back XPS Laptops (https://www.cnet.com/tech/computing/dell-reverses-course-brings-back-xps-laptops/) Google is unleashing Gemini AI features on Gmail. Users will have to opt out (https://www.cnbc.com/2026/01/08/google-adds-gemini-features-to-gmail-message-summaries-proofreading-.html) Bose is open-sourcing its old smart speakers instead of bricking them (https://www.theverge.com/news/858501/bose-soundtouch-smart-speakers-open-source) Google Guys Say Bye to California (https://www.nytimes.com/2026/01/09/technology/google-founders-california-wealth-tax.html) Amazon gives managers a new way to spot who's barely coming into the office (https://www.businessinsider.com/amazon-flags-employees-rto-office-2026-1) A decade of open source in CNCF with 300,000+ contributors and counting (https://www.cncf.io/blog/2026/01/12/a-decade-of-open-source-in-cncf-with-300000-contributors-and-counting/) CrowdStrike to Acquire SGNL to Transform Identity Security for the AI Era (https://www.crowdstrike.com/en-us/press-releases/crowdstrike-to-acquire-sgnl-to-transform-identity-security-for-ai-era/) Snowflake Announces Intent to Acquire Observe to Deliver AI-Powered Observability (https://www.snowflake.com/en/news/press-releases/snowflake-announces-intent-to-acquire-observe-to-deliver-ai-powered-observability-at-enterprise-scale/) Nvidia Hires Google Veteran as Its First Chief Marketing Officer (https://www.wsj.com/articles/nvidia-hires-google-veteran-as-its-first-chief-marketing-officer-3dc2163f?gaa_at=eafs&gaa_n=AWEtsqc78O9yWpx28YbHsHhkY4UbuzPDNulddaijRt3y9rnPs3uRo18V4ghRRgo3AzQ%3D&gaa_ts=6966a608&gaa_sig=B3ADjcK4inCRjSkACod4QU-1HTE-j0gP27wIE9LUarawkBMmDw9Pap591kz2CPTAjiCKbOqUkbQyYLlxQr0Nmw%3D%3D) The Fediverse Experiment (https://www.searchengine.show/the-fediverse-experiment/) RIP the metaverse (https://sherwood.news/tech/rip-the-metaverse/) Nonsense American Airlines rolls out free Wi-Fi to loyalty members (https://www.customerexperiencedive.com/news/american-airlines-rolls-out-free-wi-fi-loyalty-members/809135/) Conferences cfgmgmtcamp 2026 (https://cfgmgmtcamp.org/ghent2026/), February 2nd to 4th, Ghent, BE. Coté speaking - anyone interested in being a SDI guest? DevOpsDayLA at SCALE23x (https://www.socallinuxexpo.org/scale/23x), March 6th, Pasadena, CA Use code: DEVOP for 50% off. Devnexus 2026 (https://devnexus.com), March 4th to 6th, Atlanta, GA. Coté has a discount code, but he's not sure if he can give it out. He's asking! Send him a DM in the meantime. KubeCon EU, March 23rd to 26th, 2026 - Coté will be there on a media pass. Whole bunch of VMUGs: Amsterdam (March 17-19, 2026), Minneapolis (April 7-9, 2026), Toronto (May 12-14, 2026), Dallas (June 9-11, 2026), Orlando (October 20-22, 2026) SDT News & Community Join our Slack community (https://softwaredefinedtalk.slack.com/join/shared_invite/zt-1hn55iv5d-UTfN7mVX1D9D5ExRt3ZJYQ#/shared-invite/email) Email the show: questions@softwaredefinedtalk.com (mailto:questions@softwaredefinedtalk.com) Free stickers: Email your address to stickers@softwaredefinedtalk.com (mailto:stickers@softwaredefinedtalk.com) Follow us on social media: Twitter (https://twitter.com/softwaredeftalk), Threads (https://www.threads.net/@softwaredefinedtalk), Mastodon (https://hachyderm.io/@softwaredefinedtalk), LinkedIn (https://www.linkedin.com/company/software-defined-talk/), BlueSky (https://bsky.app/profile/softwaredefinedtalk.com) Watch us on: Twitch (https://www.twitch.tv/sdtpodcast), YouTube (https://www.youtube.com/channel/UCi3OJPV6h9tp-hbsGBLGsDQ/featured), Instagram (https://www.instagram.com/softwaredefinedtalk/), TikTok (https://www.tiktok.com/@softwaredefinedtalk) Book offer: Use code SDT for $20 off "Digital WTF" by Coté (https://leanpub.com/digitalwtf/c/sdt) Sponsor the show (https://www.softwaredefinedtalk.com/ads) Recommendations Brandon: Google Nest Doorbell (Wired, 3rd Gen) (https://www.amazon.com/dp/B0FN7GWSHV?ref=ppx_yo2ov_dt_b_fed_asin_title&th=1) Matt: MTV Rewind (https://wantmymtv.vercel.app/) Coté: “These 36 Airlines Offer iPhone Feature That Helps Find Your Lost Bags.” (https://www.macrumors.com/2026/01/12/iphone-airtag-bag-tracking-airlines-list/) Distroless, Helm Charts, & Hardened Images: Security That Ships (with William Jimenez) (https://www.youtube.com/live/9Jc1xH65msg) Photo Credits Header (https://unsplash.com/photos/talking-people-sitting-beside-table-PTRzqc_h1r4)

De retour à cinq dans l'épisode, les cast codeurs démarrent cette année avec un gros épisode pleins de news et d'articles de fond. IA bien sûr, son impact sur les pratiques, Mockito qui tourne un page, du CSS (et oui), sur le (non) mapping d'APIs REST en MCP et d'une palanquée d'outils pour vous. Enregistré le 9 janvier 2026 Téléchargement de l'épisode LesCastCodeurs-Episode-335.mp3 ou en vidéo sur YouTube. News Langages 2026 sera-t'elle l'année de Java dans le terminal ? (j'ai ouïe dire que ça se pourrait bien…) https://xam.dk/blog/lets-make-2026-the-year-of-java-in-the-terminal/ 2026: Année de Java dans le terminal, pour rattraper son retard sur Python, Rust, Go et Node.js. Java est sous-estimé pour les applications CLI et les TUIs (interfaces utilisateur terminales) malgré ses capacités. Les anciennes excuses (démarrage lent, outillage lourd, verbosité, distribution complexe) sont obsolètes grâce aux avancées récentes : GraalVM Native Image pour un démarrage en millisecondes. JBang pour l'exécution simplifiée de scripts Java (fichiers uniques, dépendances) et de JARs. JReleaser pour l'automatisation de la distribution multi-plateforme (Homebrew, SDKMAN, Docker, images natives). Project Loom pour la concurrence facile avec les threads virtuels. PicoCLI pour la gestion des arguments. Le potentiel va au-delà des scripts : création de TUIs complètes et esthétiques (ex: dashboards, gestionnaires de fichiers, assistants IA). Excuses caduques : démarrage rapide (GraalVM), légèreté (JBang), distribution simple (JReleaser), concurrence (Loom). Potentiel : créer des applications TUI riches et esthétiques. Sortie de Ruby 4.0.0 https://www.ruby-lang.org/en/news/2025/12/25/ruby-4-0-0-released/ Ruby Box (expérimental) : Une nouvelle fonctionnalité permettant d'isoler les définitions (classes, modules, monkey patches) dans des boîtes séparées pour éviter les conflits globaux. ZJIT : Un nouveau compilateur JIT de nouvelle génération développé en Rust, visant à surpasser YJIT à terme (actuellement en phase expérimentale). Améliorations de Ractor : Introduction de Ractor::Port pour une meilleure communication entre Ractors et optimisation des structures internes pour réduire les contentions de verrou global. Changements syntaxiques : Les opérateurs logiques (||, &&, and, or) en début de ligne permettent désormais de continuer la ligne précédente, facilitant le style "fluent". Classes Core : Set et Pathname deviennent des classes intégrées (Core) au lieu d'être dans la bibliothèque standard. Diagnostics améliorés : Les erreurs d'arguments (ArgumentError) affichent désormais des extraits de code pour l'appelant ET la définition de la méthode. Performances : Optimisation de Class#new, accès plus rapide aux variables d'instance et améliorations significatives du ramasse-miettes (GC). Nettoyage : Suppression de comportements obsolètes (comme la création de processus via IO.open avec |) et mise à jour vers Unicode 17.0. Librairies Introduction pour créer une appli multi-tenant avec Quarkus et http://nip.io|nip.io https://www.the-main-thread.com/p/quarkus-multi-tenant-api-nipio-tutorial Construction d'une API REST multi-tenant en Quarkus avec isolation par sous-domaine Utilisation de http://nip.io|nip.io pour la résolution DNS automatique sans configuration locale Extraction du tenant depuis l'en-tête HTTP Host via un filtre JAX-RS Contexte tenant géré avec CDI en scope Request pour l'isolation des données Service applicatif gérant des données spécifiques par tenant avec Map concurrent Interface web HTML/JS pour visualiser et ajouter des données par tenant Configuration CORS nécessaire pour le développement local Pattern acme.127-0-0-1.nip.io résolu automatiquement vers localhost Code complet disponible sur GitHub avec exemples curl et tests navigateur Base idéale pour prototypage SaaS, tests multi-tenants Hibernate 7.2 avec quelques améliorations intéressantes https://docs.hibernate.org/orm/7.2/whats-new/%7Bhtml-meta-canonical-link%7D read only replica (experimental), crée deux session factories et swap au niveau jdbc si le driver le supporte et custom sinon. On ouvre une session en read only child statelesssession (partage le contexte transactionnel) hibernate vector module ajouter binary, float16 and sparse vectors Le SchemaManager peut resynchroniser les séquences par rapport aux données des tables Regexp dans HQL avec like Nouvelle version de Hibernate with Panache pour Quarkus https://quarkus.io/blog/hibernate-panache-next/ Nouvelle extension expérimentale qui unifie Hibernate ORM with Panache et Hibernate Reactive with Panache Les entités peuvent désormais fonctionner en mode bloquant ou réactif sans changer de type de base Support des sessions sans état (StatelessSession) en plus des entités gérées traditionnelles Intégration de Jakarta Data pour des requêtes type-safe vérifiées à la compilation Les opérations sont définies dans des repositories imbriqués plutôt que des méthodes statiques Possibilité de définir plusieurs repositories pour différents modes d'opération sur une même entité Accès aux différents modes (bloquant/réactif, géré/sans état) via des méthodes de supertype Support des annotations @Find et @HQL pour générer des requêtes type-safe Accès au repository via injection ou via le métamodèle généré Extension disponible dans la branche main, feedback demandé sur Zulip ou GitHub Spring Shell 4.0.0 GA publié - https://spring.io/blog/2025/12/30/spring-shell-4-0-0-ga-released Sortie de la version finale de Spring Shell 4.0.0 disponible sur Maven Central Compatible avec les dernières versions de Spring Framework et Spring Boot Modèle de commandes revu pour simplifier la création d'applications CLI interactives Intégration de jSpecify pour améliorer la sécurité contre les NullPointerException Architecture plus modulaire permettant meilleure personnalisation et extension Documentation et exemples entièrement mis à jour pour faciliter la prise en main Guide de migration vers la v4 disponible sur le wiki du projet Corrections de bugs pour améliorer la stabilité et la fiabilité Permet de créer des applications Java autonomes exécutables avec java -jar ou GraalVM native Approche opinionnée du développement CLI tout en restant flexible pour les besoins spécifiques Une nouvelle version de la librairie qui implémenter des gatherers supplémentaires à ceux du JDK https://github.com/tginsberg/gatherers4j/releases/tag/v0.13.0 gatherers4j v0.13.0. Nouveaux gatherers : uniquelyOccurringBy(), moving/runningMedian(), moving/runningMax/Min(). Changement : les gatherers "moving" incluent désormais par défaut les valeurs partielles (utiliser excludePartialValues() pour désactiver). LangChain4j 1.10.0 https://github.com/langchain4j/langchain4j/releases/tag/1.10.0 Introduction d'un catalogue de modèles pour Anthropic, Gemini, OpenAI et Mistral. Ajout de capacités d'observabilité et de monitoring pour les agents. Support des sorties structurées, des outils avancés et de l'analyse de PDF via URL pour Anthropic. Support des services de transcription pour OpenAI. Possibilité de passer des paramètres de configuration de chat en argument des méthodes. Nouveau garde-fou de modération pour les messages entrants. Support du contenu de raisonnement pour les modèles. Introduction de la recherche hybride. Améliorations du client MCP. Départ du lead de mockito après 10 ans https://github.com/mockito/mockito/issues/3777 Tim van der Lippe, mainteneur majeur de Mockito, annonce son départ pour mars 2026, marquant une décennie de contribution au projet. L'une des raisons principales est l'épuisement lié aux changements récents dans la JVM (JVM 22+) concernant les agents, imposant des contraintes techniques lourdes sans alternative simple proposée par les mainteneurs du JDK. Il pointe du doigt le manque de soutien et la pression exercée sur les bénévoles de l'open source lors de ces transitions technologiques majeures. La complexité croissante pour supporter Kotlin, qui utilise la JVM de manière spécifique, rend la base de code de Mockito plus difficile à maintenir et moins agréable à faire évoluer selon lui. Il exprime une perte de plaisir et préfère désormais consacrer son temps libre à d'autres projets comme Servo, un moteur web écrit en Rust. Une période de transition est prévue jusqu'en mars pour assurer la passation de la maintenance à de nouveaux contributeurs. Infrastructure Le premier intérêt de Kubernetes n'est pas le scaling - https://mcorbin.fr/posts/2025-12-29-kubernetes-scale/ Avant Kubernetes, gérer des applications en production nécessitait de multiples outils complexes (Ansible, Puppet, Chef) avec beaucoup de configuration manuelle Le load balancing se faisait avec HAProxy et Keepalived en actif/passif, nécessitant des mises à jour manuelles de configuration à chaque changement d'instance Le service discovery et les rollouts étaient orchestrés manuellement, instance par instance, sans automatisation de la réconciliation Chaque stack (Java, Python, Ruby) avait sa propre méthode de déploiement, sans standardisation (rpm, deb, tar.gz, jar) La gestion des ressources était manuelle avec souvent une application par machine, créant du gaspillage et complexifiant la maintenance Kubernetes standardise tout en quelques ressources YAML (Deployment, Service, Ingress, ConfigMap, Secret) avec un format déclaratif simple Toutes les fonctionnalités critiques sont intégrées : service discovery, load balancing, scaling, stockage, firewalling, logging, tolérance aux pannes La complexité des centaines de scripts shell et playbooks Ansible maintenus avant était supérieure à celle de Kubernetes Kubernetes devient pertinent dès qu'on commence à reconstruire manuellement ces fonctionnalités, ce qui arrive très rapidement La technologie est flexible et peut gérer aussi bien des applications modernes que des monolithes legacy avec des contraintes spécifiques Mole https://github.com/tw93/Mole Un outil en ligne de commande (CLI) tout-en-un pour nettoyer et optimiser macOS. Combine les fonctionnalités de logiciels populaires comme CleanMyMac, AppCleaner, DaisyDisk et iStat Menus. Analyse et supprime en profondeur les caches, les fichiers logs et les résidus de navigateurs. Désinstallateur intelligent qui retire proprement les applications et leurs fichiers cachés (Launch Agents, préférences). Analyseur d'espace disque interactif pour visualiser l'occupation des fichiers et gérer les documents volumineux. Tableau de bord temps réel (mo status) pour surveiller le CPU, le GPU, la mémoire et le réseau. Fonction de purge spécifique pour les développeurs permettant de supprimer les artefacts de build (node_modules, target, etc.). Intégration possible avec Raycast ou Alfred pour un lancement rapide des commandes. Installation simple via Homebrew ou un script curl. Des images Docker sécurisées pour chaque développeur https://www.docker.com/blog/docker-hardened-images-for-every-developer/ Docker rend ses "Hardened Images" (DHI) gratuites et open source (licence Apache 2.0) pour tous les développeurs. Ces images sont conçues pour être minimales, prêtes pour la production et sécurisées dès le départ afin de lutter contre l'explosion des attaques sur la chaîne logistique logicielle. Elles s'appuient sur des bases familières comme Alpine et Debian, garantissant une compatibilité élevée et une migration facile. Chaque image inclut un SBOM (Software Bill of Materials) complet et vérifiable, ainsi qu'une provenance SLSA de niveau 3 pour une transparence totale. L'utilisation de ces images permet de réduire considérablement le nombre de vulnérabilités (CVE) et la taille des images (jusqu'à 95 % plus petites). Docker étend cette approche sécurisée aux graphiques Helm et aux serveurs MCP (Mongo, Grafana, GitHub, etc.). Des offres commerciales (DHI Enterprise) restent disponibles pour des besoins spécifiques : correctifs critiques sous 7 jours, support FIPS/FedRAMP ou support à cycle de vie étendu (ELS). Un assistant IA expérimental de Docker peut analyser les conteneurs existants pour recommander l'adoption des versions sécurisées correspondantes. L'initiative est soutenue par des partenaires majeurs tels que Google, MongoDB, Snyk et la CNCF. Web La maçonnerie ("masonry") arrive dans la spécification des CSS et commence à être implémentée par les navigateurs https://webkit.org/blog/17660/introducing-css-grid-lanes/ Permet de mettre en colonne des éléments HTML les uns à la suite des autres. D'abord sur la première ligne, et quand la première ligne est remplie, le prochain élément se trouvera dans la colonne où il pourra être le plus haut possible, et ainsi de suite. après la plomberie du middleware, la maçonnerie du front :laughing: Data et Intelligence Artificielle On ne devrait pas faire un mapping 1:1 entre API REST et MCP https://nordicapis.com/why-mcp-shouldnt-wrap-an-api-one-to-one/ Problématique : Envelopper une API telle quelle dans le protocole MCP (Model Context Protocol) est un anti-pattern. Objectif du MCP : Conçu pour les agents d'IA, il doit servir d'interface d'intention, non de miroir d'API. Les agents comprennent les tâches, pas la logique complexe des API (authentification, pagination, orchestration). Conséquences du mappage un-à-un : Confusion des agents, erreurs, hallucinations. Difficulté à gérer les orchestrations complexes (plusieurs appels pour une seule action). Exposition des faiblesses de l'API (schéma lourd, endpoints obsolètes). Maintenance accrue lors des changements d'API. Meilleure approche : Construire des outils MCP comme des SDK pour agents, encapsulant la logique nécessaire pour accomplir une tâche spécifique. Pratiques recommandées : Concevoir autour des intentions/actions utilisateur (ex. : "créer un projet", "résumer un document"). Regrouper les appels en workflows ou actions uniques. Utiliser un langage naturel pour les définitions et les noms. Limiter la surface d'exposition de l'API pour la sécurité et la clarté. Appliquer des schémas d'entrée/sortie stricts pour guider l'agent et réduire l'ambiguïté. Des agents en production avec AWS - https://blog.ippon.fr/2025/12/22/des-agents-en-production-avec-aws/ AWS re:Invent 2025 a massivement mis en avant l'IA générative et les agents IA Un agent IA combine un LLM, une boucle d'appel et des outils invocables Strands Agents SDK facilite le prototypage avec boucles ReAct intégrées et gestion de la mémoire Managed MLflow permet de tracer les expérimentations et définir des métriques de performance Nova Forge optimise les modèles par réentraînement sur données spécifiques pour réduire coûts et latence Bedrock Agent Core industrialise le déploiement avec runtime serverless et auto-scaling Agent Core propose neuf piliers dont observabilité, authentification, code interpreter et browser managé Le protocole MCP d'Anthropic standardise la fourniture d'outils aux agents SageMaker AI et Bedrock centralisent l'accès aux modèles closed source et open source via API unique AWS mise sur l'évolution des chatbots vers des systèmes agentiques optimisés avec modèles plus frugaux Debezium 3.4 amène plusieurs améliorations intéressantes https://debezium.io/blog/2025/12/16/debezium-3-4-final-released/ Correction du problème de calcul du low watermark Oracle qui causait des pertes de performance Correction de l'émission des événements heartbeat dans le connecteur Oracle avec les requêtes CTE Amélioration des logs pour comprendre les transactions actives dans le connecteur Oracle Memory guards pour protéger contre les schémas de base de données de grande taille Support de la transformation des coordonnées géométriques pour une meilleure gestion des données spatiales Extension Quarkus DevServices permettant de démarrer automatiquement une base de données et Debezium en dev Intégration OpenLineage pour tracer la lignée des données et suivre leur flux à travers les pipelines Compatibilité testée avec Kafka Connect 4.1 et Kafka brokers 4.1 Infinispan 16.0.4 et .5 https://infinispan.org/blog/2025/12/17/infinispan-16-0-4 Spring Boot 4 et Spring 7 supportés Evolution dans les metriques Deux bugs de serialisation Construire un agent de recherche en Java avec l'API Interactions https://glaforge.dev/posts/2026/01/03/building-a-research-assistant-with-the-interactions-api-in-java/ Assistant de recherche IA Java (API Interactions Gemini), test du SDK implémenté par Guillaume. Workflow en 4 phases : Planification : Gemini Flash + Google Search. Recherche : Modèle "Deep Research" (tâche de fond). Synthèse : Gemini Pro (rapport exécutif). Infographie : Nano Banana Pro (à partir de la synthèse). API Interactions : gestion d'état serveur, tâches en arrière-plan, réponses multimodales (images). Appréciation : gestion d'état de l'API (vs LLM sans état). Validation : efficacité du SDK Java pour cas complexes. Stephan Janssen (le papa de Devoxx) a créé un serveur MCP (Model Context Protocol) basé sur LSP (Language Server Protocol) pour que les assistants de code analysent le code en le comprenant vraiment plutôt qu'en faisant des grep https://github.com/stephanj/LSP4J-MCP Le problème identifié : Les assistants IA utilisent souvent la recherche textuelle (type grep) pour naviguer dans le code, ce qui manque de contexte sémantique, génère du bruit (faux positifs) et consomme énormément de tokens inutilement. La solution LSP4J-MCP : Une approche "standalone" (autonome) qui encapsule le serveur de langage Eclipse (JDTLS) via le protocole MCP (Model Context Protocol). Avantage principal : Offre une compréhension sémantique profonde du code Java (types, hiérarchies, références) sans nécessiter l'ouverture d'un IDE lourd comme IntelliJ. Comparaison des méthodes : AST : Trop léger (pas de compréhension inter-fichiers). IntelliJ MCP : Puissant mais exige que l'IDE soit ouvert (gourmand en ressources). LSP4J-MCP : Le meilleur des deux mondes pour les workflows en terminal, à distance (SSH) ou CI/CD. Fonctionnalités clés : Expose 5 outils pour l'IA (find_symbols, find_references, find_definition, document_symbols, find_interfaces_with_method). Résultats : Une réduction de 100x des tokens utilisés pour la navigation et une précision accrue (distinction des surcharges, des scopes, etc.). Disponibilité : Le projet est open source et disponible sur GitHub pour intégration immédiate (ex: avec Claude Code, Gemini CLI, etc). A noter l'ajout dans claude code 2.0.74 d'un tool pour supporter LSP ( https://github.com/anthropics/claude-code/blob/main/CHANGELOG.md#2074 ) Awesome (GitHub) Copilot https://github.com/github/awesome-copilot Une collection communautaire d'instructions, de prompts et de configurations pour optimiser l'utilisation de GitHub Copilot. Propose des "Agents" spécialisés qui s'intègrent aux serveurs MCP pour améliorer les flux de travail spécifiques. Inclut des prompts ciblés pour la génération de code, la documentation et la résolution de problèmes complexes. Fournit des instructions détaillées sur les standards de codage et les meilleures pratiques applicables à divers frameworks. Propose des "Skills" (compétences) sous forme de dossiers contenant des ressources pour des tâches techniques spécialisées. (les skills sont dispo dans copilot depuis un mois : https://github.blog/changelog/2025-12-18-github-copilot-now-supports-agent-skills/ ) Permet une installation facile via un serveur MCP dédié, compatible avec VS Code et Visual Studio. Encourage la contribution communautaire pour enrichir les bibliothèques de prompts et d'agents. Aide à augmenter la productivité en offrant des solutions pré-configurées pour de nombreux langages et domaines. Garanti par une licence MIT et maintenu activement par des contributeurs du monde entier. IA et productivité : bilan de l'année 2025 (Laura Tacho - DX)) https://newsletter.getdx.com/p/ai-and-productivity-year-in-review?aid=recNfypKAanQrKszT En 2025, l'ingénierie assistée par l'IA est devenue la norme : environ 90 % des développeurs utilisent des outils d'IA mensuellement, et plus de 40 % quotidiennement. Les chercheurs (Microsoft, Google, GitHub) soulignent que le nombre de lignes de code (LOC) reste un mauvais indicateur d'impact, car l'IA génère beaucoup de code sans forcément garantir une valeur métier supérieure. Si l'IA améliore l'efficacité individuelle, elle pourrait nuire à la collaboration à long terme, car les développeurs passent plus de temps à "parler" à l'IA qu'à leurs collègues. L'identité du développeur évolue : il passe de "producteur de code" à un rôle de "metteur en scène" qui délègue, valide et exerce son jugement stratégique. L'IA pourrait accélérer la montée en compétences des développeurs juniors en les forçant à gérer des projets et à déléguer plus tôt, agissant comme un "accélérateur" plutôt que de les rendre obsolètes. L'accent est mis sur la créativité plutôt que sur la simple automatisation, afin de réimaginer la manière de travailler et d'obtenir des résultats plus impactants. Le succès en 2026 dépendra de la capacité des entreprises à cibler les goulots d'étranglement réels (dette technique, documentation, conformité) plutôt que de tester simplement chaque nouveau modèle d'IA. La newsletter avertit que les titres de presse simplifient souvent à l'excès les recherches sur l'IA, masquant parfois les nuances cruciales des études réelles. Un développeur décrit dans un article sur Twitter son utilisation avancée de Claude Code pour le développement, avec des sous-agents, des slash-commands, comment optimiser le contexte, etc. https://x.com/AureaLibe/status/2008958120878330329?s=20 Outillage IntelliJ IDEA, thread dumps et project Loom (virtual threads) - https://blog.jetbrains.com/idea/2025/12/thread-dumps-and-project-loom-virtual-threads/ Les virtual threads Java améliorent l'utilisation du matériel pour les opérations I/O parallèles avec peu de changements de code Un serveur peut maintenant gérer des millions de threads au lieu de quelques centaines Les outils existants peinent à afficher et analyser des millions de threads simultanément Le débogage asynchrone est complexe car le scheduler et le worker s'exécutent dans des threads différents Les thread dumps restent essentiels pour diagnostiquer deadlocks, UI bloquées et fuites de threads Netflix a découvert un deadlock lié aux virtual threads en analysant un heap dump, bug corrigé dans Java 25. Mais c'était de la haute voltige IntelliJ IDEA supporte nativement les virtual threads dès leur sortie avec affichage des locks acquis IntelliJ IDEA peut ouvrir des thread dumps générés par d'autres outils comme jcmd Le support s'étend aussi aux coroutines Kotlin en plus des virtual threads Quelques infos sur IntelliJ IDEA 2025.3 https://blog.jetbrains.com/idea/2025/12/intellij-idea-2025-3/ Distribution unifiée regroupant davantage de fonctionnalités gratuites Amélioration de la complétion des commandes dans l'IDE Nouvelles fonctionnalités pour le débogueur Spring Thème Islands devient le thème par défaut Support complet de Spring Boot 4 et Spring Framework 7 Compatibilité avec Java 25 Prise en charge de Spring Data JDBC et Vitest 4 Support natif de Junie et Claude Agent pour l'IA Quota d'IA transparent et option Bring Your Own Key à venir Corrections de stabilité, performance et expérience utilisateur Plein de petits outils en ligne pour le développeur https://blgardner.github.io/prism.tools/ génération de mot de passe, de gradient CSS, de QR code encodage décodage de Base64, JWT formattage de JSON, etc. resumectl - Votre CV en tant que code https://juhnny5.github.io/resumectl/ Un outil en ligne de commande (CLI) écrit en Go pour générer un CV à partir d'un fichier YAML. Permet l'exportation vers plusieurs formats : PDF, HTML, ou un affichage direct dans le terminal. Propose 5 thèmes intégrés (Modern, Classic, Minimal, Elegant, Tech) personnalisables avec des couleurs spécifiques. Fonctionnalité d'initialisation (resumectl init) permettant d'importer automatiquement des données depuis LinkedIn et GitHub (projets les plus étoilés). Supporte l'ajout de photos avec des options de filtre noir et blanc ou de forme (rond/carré). Inclut un mode "serveur" (resumectl serve) pour prévisualiser les modifications en temps réel via un navigateur local. Fonctionne comme un binaire unique sans dépendances externes complexes pour les modèles. mactop - Un moniteur "top" pour Apple Silicon https://github.com/metaspartan/mactop Un outil de surveillance en ligne de commande (TUI) conçu spécifiquement pour les puces Apple Silicon (M1, M2, M3, M4, M5). Permet de suivre en temps réel l'utilisation du CPU (E-cores et P-cores), du GPU et de l'ANE (Neural Engine). Affiche la consommation électrique (wattage) du système, du CPU, du GPU et de la DRAM. Fournit des données sur les températures du SoC, les fréquences du GPU et l'état thermique global. Surveille l'utilisation de la mémoire vive, de la swap, ainsi que l'activité réseau et disque (E/S). Propose 10 mises en page (layouts) différentes et plusieurs thèmes de couleurs personnalisables. Ne nécessite pas l'utilisation de sudo car il s'appuie sur les API natives d'Apple (SMC, IOReport, IOKit). Inclut une liste de processus détaillée (similaire à htop) avec la possibilité de tuer des processus directement depuis l'interface. Offre un mode "headless" pour exporter les métriques au format JSON et un serveur optionnel pour Prometheus. Développé en Go avec des composants en CGO et Objective-C. Adieu direnv, Bonjour misehttps://codeka.io/2025/12/19/adieu-direnv-bonjour-mise/ L'auteur remplace ses outils habituels (direnv, asdf, task, just) par un seul outil polyvalent écrit en Rust : mise. mise propose trois fonctions principales : gestionnaire de paquets (langages et outils), gestionnaire de variables d'environnement et exécuteur de tâches. Contrairement à direnv, il permet de gérer des alias et utilise un fichier de configuration structuré (mise.toml) plutôt que du scripting shell. La configuration est hiérarchique, permettant de surcharger les paramètres selon les répertoires, avec un système de "trust" pour la sécurité. Une "killer-feature" soulignée est la gestion des secrets : mise s'intègre avec age pour chiffrer des secrets (via clés SSH) directement dans le fichier de configuration. L'outil supporte une vaste liste de langages et d'outils via un registre interne et des plugins (compatibilité avec l'écosystème asdf). Il simplifie le workflow de développement en regroupant l'installation des outils et l'automatisation des tâches au sein d'un même fichier. L'auteur conclut sur la puissance, la flexibilité et les excellentes performances de l'outil après quelques heures de test. Claude Code v2.1.0 https://github.com/anthropics/claude-code/blob/main/CHANGELOG.md#210 Rechargement à chaud des "skills" : Les modifications apportées aux compétences dans ~/.claude/skills sont désormais appliquées instantanément sans redémarrer la session. Sous-agents et forks : Support de l'exécution de compétences et de commandes slash dans un contexte de sous-agent forké via context: fork. Réglages linguistiques : Ajout d'un paramètre language pour configurer la langue de réponse par défaut (ex: language: "french"). Améliorations du terminal : Shift+Enter fonctionne désormais nativement dans plusieurs terminaux (iTerm2, WezTerm, Ghostty, Kitty) sans configuration manuelle. Sécurité et correction de bugs : Correction d'une faille où des données sensibles (clés API, tokens OAuth) pouvaient apparaître dans les logs de débogage. Nouvelles commandes slash : Ajout de /teleport et /remote-env pour les abonnés claude.ai afin de gérer des sessions distantes. Mode Plan : Le raccourci /plan permet d'activer le mode plan directement depuis le prompt, et la demande de permission à l'entrée de ce mode a été supprimée. Vim et navigation : Ajout de nombreux mouvements Vim (text objects, répétitions de mouvements f/F/t/T, indentations, etc.). Performance : Optimisation du temps de démarrage et du rendu terminal pour les caractères Unicode/Emoji. Gestion du gitignore : Support du réglage respectGitignore dans settings.json pour contrôler le comportement du sélecteur de fichiers @-mention. Méthodologies 200 déploiements en production par jour, même le vendredi : retours d'expérience https://mcorbin.fr/posts/2025-03-21-deploy-200/ Le déploiement fréquent, y compris le vendredi, est un indicateur de maturité technique et augmente la productivité globale. L'excellence technique est un atout stratégique indispensable pour livrer rapidement des produits de qualité. Une architecture pragmatique orientée services (SOA) facilite les déploiements indépendants et réduit la charge cognitive. L'isolation des services est cruciale : un développeur doit pouvoir tester son service localement sans dépendre de toute l'infrastructure. L'automatisation via Kubernetes et l'approche GitOps avec ArgoCD permettent des déploiements continus et sécurisés. Les feature flags et un système de permissions solide permettent de découpler le déploiement technique de l'activation fonctionnelle pour les utilisateurs. L'autonomie des développeurs est renforcée par des outils en self-service (CLI maison) pour gérer l'infrastructure et diagnostiquer les incidents sans goulot d'étranglement. Une culture d'observabilité intégrée dès la conception permet de détecter et de réagir rapidement aux anomalies en production. Accepter l'échec comme inévitable permet de concevoir des systèmes plus résilients capables de se rétablir automatiquement. "Vibe Coding" vs "Prompt Engineering" : l'IA et le futur du développement logiciel https://www.romenrg.com/blog/2025/12/25/vibe-coding-vs-prompt-engineering-ai-and-the-future-of-software-development/ L'IA est passée du statut d'expérimentation à celui d'infrastructure essentielle pour le développement de logiciels en 2025. L'IA ne remplace pas les ingénieurs, mais agit comme un amplificateur de leurs compétences, de leur jugement et de la qualité de leur réflexion. Distinction entre le "Vibe Coding" (rapide, intuitif, idéal pour les prototypes) et le "Prompt Engineering" (délibéré, contraint, nécessaire pour les systèmes maintenables). L'importance cruciale du contexte ("Context Engineering") : l'IA devient réellement puissante lorsqu'elle est connectée aux systèmes réels (GitHub, Jira, etc.) via des protocoles comme le MCP. Utilisation d'agents spécialisés (écriture de RFC, revue de code, architecture) plutôt que de modèles génériques pour obtenir de meilleurs résultats. Émergence de l'ingénieur "Technical Product Manager" capable d'abattre seul le travail d'une petite équipe grâce à l'IA, à condition de maîtriser les fondamentaux techniques. Le risque majeur : l'IA permet d'aller très vite dans la mauvaise direction si le jugement humain et l'expérience font défaut. Le niveau d'exigence global augmente : les bases techniques solides deviennent plus importantes que jamais pour éviter l'accumulation de dette technique rapide. Une revue de code en solo (Kent Beck) ! https://tidyfirst.substack.com/p/party-of-one-for-code-review?r=64ov3&utm_campaign=post&utm_medium=web&triedRedirect=true La revue de code traditionnelle, héritée des inspections formelles d'IBM, s'essouffle car elle est devenue trop lente et asynchrone par rapport au rythme du développement moderne. Avec l'arrivée de l'IA ("le génie"), la vitesse de production du code dépasse la capacité de relecture humaine, créant un goulot d'étranglement majeur. La revue de code doit évoluer vers deux nouveaux objectifs prioritaires : un "sanity check" pour vérifier que l'IA a bien fait ce qu'on lui demandait, et le contrôle de la dérive structurelle de la base de code. Maintenir une structure saine est crucial non seulement pour les futurs développeurs humains, mais aussi pour que l'IA puisse continuer à comprendre et modifier le code efficacement sans perdre le contexte. Kent Beck expérimente des outils automatisés (comme CodeRabbit) pour obtenir des résumés et des schémas d'architecture afin de garder une conscience globale des changements rapides. Même si les outils automatisés sont utiles, le "Pair Programming" reste irremplaçable pour la richesse des échanges et la pression sociale bénéfique qu'il impose à la réflexion. La revue de code solo n'est pas une fin en soi, mais une adaptation nécessaire lorsque l'on travaille seul avec des outils de génération de code augmentés. Loi, société et organisation Lego lance les Lego Smart Play, avec des Brique, des Smart Tags et des Smart Figurines pour faire de nouvelles constructions interactives avec des Legos https://www.lego.com/fr-fr/smart-play LEGO SMART Play : technologie réactive au jeu des enfants. Trois éléments clés : SMART Brique : Brique LEGO 2x4 "cerveau". Accéléromètre, lumières réactives, détecteur de couleurs, synthétiseur sonore. Réagit aux mouvements (tenir, tourner, taper). SMART Tags : Petites pièces intelligentes. Indiquent à la SMART Brique son rôle (ex: hélicoptère, voiture) et les sons à produire. Activent sons, mini-jeux, missions secrètes. SMART Minifigurines : Activées près d'une SMART Brique. Révèlent des personnalités uniques (sons, humeurs, réactions) via la SMART Brique. Encouragent l'imagination. Fonctionnement : SMART Brique détecte SMART Tags et SMART Minifigurines. Réagit aux mouvements avec lumières et sons dynamiques. Compatibilité : S'assemble avec les briques LEGO classiques. Objectif : Créer des expériences de jeu interactives, uniques et illimitées. Conférences La liste des conférences provenant de Developers Conferences Agenda/List par Aurélie Vache et contributeurs : 14-17 janvier 2026 : SnowCamp 2026 - Grenoble (France) 22 janvier 2026 : DevCon #26 : sécurité / post-quantique / hacking - Paris (France) 28 janvier 2026 : Software Heritage Symposium - Paris (France) 29-31 janvier 2026 : Epitech Summit 2026 - Paris - Paris (France) 2-5 février 2026 : Epitech Summit 2026 - Moulins - Moulins (France) 3 février 2026 : Cloud Native Days France 2026 - Paris (France) 3-4 février 2026 : Epitech Summit 2026 - Lille - Lille (France) 3-4 février 2026 : Epitech Summit 2026 - Mulhouse - Mulhouse (France) 3-4 février 2026 : Epitech Summit 2026 - Nancy - Nancy (France) 3-4 février 2026 : Epitech Summit 2026 - Nantes - Nantes (France) 3-4 février 2026 : Epitech Summit 2026 - Marseille - Marseille (France) 3-4 février 2026 : Epitech Summit 2026 - Rennes - Rennes (France) 3-4 février 2026 : Epitech Summit 2026 - Montpellier - Montpellier (France) 3-4 février 2026 : Epitech Summit 2026 - Strasbourg - Strasbourg (France) 3-4 février 2026 : Epitech Summit 2026 - Toulouse - Toulouse (France) 4-5 février 2026 : Epitech Summit 2026 - Bordeaux - Bordeaux (France) 4-5 février 2026 : Epitech Summit 2026 - Lyon - Lyon (France) 4-6 février 2026 : Epitech Summit 2026 - Nice - Nice (France) 5 février 2026 : Web Days Convention - Aix-en-Provence (France) 12 février 2026 : Strasbourg Craft #1 - Strasbourg (France) 12-13 février 2026 : Touraine Tech #26 - Tours (France) 19 février 2026 : ObservabilityCON on the Road - Paris (France) 6 mars 2026 : WordCamp Nice 2026 - Nice (France) 18-19 mars 2026 : Agile Niort 2026 - Niort (France) 20 mars 2026 : Atlantique Day 2026 - Nantes (France) 26 mars 2026 : Data Days Lille - Lille (France) 26-27 mars 2026 : SymfonyLive Paris 2026 - Paris (France) 26-27 mars 2026 : REACT PARIS - Paris (France) 27-29 mars 2026 : Shift - Nantes (France) 31 mars 2026 : ParisTestConf - Paris (France) 1 avril 2026 : AWS Summit Paris - Paris (France) 2 avril 2026 : Pragma Cannes 2026 - Cannes (France) 9-10 avril 2026 : AndroidMakers by droidcon - Paris (France) 16-17 avril 2026 : MiXiT 2026 - Lyon (France) 22-24 avril 2026 : Devoxx France 2026 - Paris (France) 23-25 avril 2026 : Devoxx Greece - Athens (Greece) 24-25 avril 2026 : Faiseuses du Web 5 - Dinan (France) 6-7 mai 2026 : Devoxx UK 2026 - London (UK) 22 mai 2026 : AFUP Day 2026 Lille - Lille (France) 22 mai 2026 : AFUP Day 2026 Paris - Paris (France) 22 mai 2026 : AFUP Day 2026 Bordeaux - Bordeaux (France) 22 mai 2026 : AFUP Day 2026 Lyon - Lyon (France) 29 mai 2026 : NG Baguette Conf 2026 - Paris (France) 5 juin 2026 : TechReady - Nantes (France) 5 juin 2026 : Fork it! - Rouen - Rouen (France) 6 juin 2026 : Polycloud - Montpellier (France) 11-12 juin 2026 : DevQuest Niort - Niort (France) 11-12 juin 2026 : DevLille 2026 - Lille (France) 12 juin 2026 : Tech F'Est 2026 - Nancy (France) 17-19 juin 2026 : Devoxx Poland - Krakow (Poland) 17-20 juin 2026 : VivaTech - Paris (France) 2 juillet 2026 : Azur Tech Summer 2026 - Valbonne (France) 2-3 juillet 2026 : Sunny Tech - Montpellier (France) 3 juillet 2026 : Agile Lyon 2026 - Lyon (France) 2 août 2026 : 4th Tech Summit on Artificial Intelligence & Robotics - Paris (France) 4 septembre 2026 : JUG Summer Camp 2026 - La Rochelle (France) 17-18 septembre 2026 : API Platform Conference 2026 - Lille (France) 24 septembre 2026 : PlatformCon Live Day Paris 2026 - Paris (France) 1 octobre 2026 : WAX 2026 - Marseille (France) 1-2 octobre 2026 : Volcamp - Clermont-Ferrand (France) 5-9 octobre 2026 : Devoxx Belgium - Antwerp (Belgium) Nous contacter Pour réagir à cet épisode, venez discuter sur le groupe Google https://groups.google.com/group/lescastcodeurs Contactez-nous via X/twitter https://twitter.com/lescastcodeurs ou Bluesky https://bsky.app/profile/lescastcodeurs.com Faire un crowdcast ou une crowdquestion Soutenez Les Cast Codeurs sur Patreon https://www.patreon.com/LesCastCodeurs Tous les épisodes et toutes les infos sur https://lescastcodeurs.com/

January brings New Year's resolutions and the inspiration to make change but often ends up in disappointment when we can't stick with our goals. Dave and Reb invite Amanda van Noppen on the show to explain why change, and change in our money habits, can feel so hard. On episode #464 of “Let's Talk Money with Dave and Reb” the co-hosts explore neuroplasticity, neural networks, and the unconscious paths that define how we develop habits and what makes it hard to change. Amanda encourages listeners that although it can be hard to create new paths, we can grow and change into new habits that create more positive financial change. Today's episode is sponsored by the Canadian National Christian Foundation which helps Canadians connect God's money with God's work. Through their Donor-Advised Funds, CNCF makes giving simple and impactful, so you can focus on supporting the causes that matter most. Learn more about how they can help you CNCF.ca To order Reb's book Cultivating Trust Expanded Edition: Finding God's Hope and Freedom for Your Finances, go to https://www.amazon.ca/dp/1998412164/ref=sr_1_3?crid=XUVAMAN0TFEY&dib=eyJ2IjoiMSJ9.8x0mkzEbAurMet_Q02DjC1uI9_HBqWQlnPySUgf62Ik9smNv5IQUJVSYBOXp4dhvsmfU3vzJivqJWwrvkTfyLe4uDWay18JChGQ1QWENY4FXHjdhLEkWMLQT8BHP9Lz18vRbIHFrvkyO6ocnHFx7rS2jtZ7WVzmIhw0U7cFRtGtRdvaw7gj3W2qigq_7EBTDZBOEfMVxxeuk405kn921-o-irE3XdWX2KrJ8e0G9W1usTiTi2j-EANx4MC_ygttzlzwj_1qmQC8MCk5LxF6jXTDr1ETe1v3O1q5o0rO4H2g.pybaC103ktXcDYR0puZtPXOBpswpMjPmU0vYc-KTAnc&dib_tag=se&keywords=cultivating+trust&qid=1732127878&sprefix=cultivating+trust%2Caps%2C117&sr=8-3. To listen to the audiobook please find it here: https://open.spotify.com/show/7FCzANDapS7Eni6YIdIWM5?si=6dc65d94c1c44a2c&nd=1&dlsi=cbb53cbd7ccf4e02. To connect with Amanda go to https://vannoppentherapy.com/ Or on instagram: vannoppenpsychotherapy. To hear our previous conversation with Amanda about Shame and Money please go here: Released from Shame #morethanenough #finances #money #financialfitness #shame #habits #newyear #goals

We all have a money story that defines how we navigate our finances. This story often involves how we have encountered God in our life and how we respond to God at work in our finances. But what would Jesus say about his own money story? On episode #463 of “Let's Talk Money with Dave and Reb”, the co-hosts invite Rev. Ray Borg to interview Jesus on how poverty, faithfulness, and love have been threaded throughout his money story. Dave, Reb, and Ray examine how their personal money stories influence how they hear the mystery of Christ's money story. Today's episode is sponsored by the Canadian National Christian Foundation which helps Canadians connect God's money with God's work. Through their Donor-Advised Funds, CNCF makes giving simple and impactful, so you can focus on supporting the causes that matter most. Learn more about how they can help you CNCF.ca To order Reb's book Cultivating Trust Expanded Edition: Finding God's Hope and Freedom for Your Finances, go to https://www.amazon.ca/dp/1998412164/ref=sr_1_3?crid=XUVAMAN0TFEY&dib=eyJ2IjoiMSJ9.8x0mkzEbAurMet_Q02DjC1uI9_HBqWQlnPySUgf62Ik9smNv5IQUJVSYBOXp4dhvsmfU3vzJivqJWwrvkTfyLe4uDWay18JChGQ1QWENY4FXHjdhLEkWMLQT8BHP9Lz18vRbIHFrvkyO6ocnHFx7rS2jtZ7WVzmIhw0U7cFRtGtRdvaw7gj3W2qigq_7EBTDZBOEfMVxxeuk405kn921-o-irE3XdWX2KrJ8e0G9W1usTiTi2j-EANx4MC_ygttzlzwj_1qmQC8MCk5LxF6jXTDr1ETe1v3O1q5o0rO4H2g.pybaC103ktXcDYR0puZtPXOBpswpMjPmU0vYc-KTAnc&dib_tag=se&keywords=cultivating+trust&qid=1732127878&sprefix=cultivating+trust%2Caps%2C117&sr=8-3. To listen to the audiobook please find it here: https://open.spotify.com/show/7FCzANDapS7Eni6YIdIWM5?si=6dc65d94c1c44a2c&nd=1&dlsi=cbb53cbd7ccf4e02. #morethanenough #finances #money #financialfitness #moneystory

In the opening episode of 2026, we mark a major milestone—a decade to the Cloud Native Computing Foundation (CNCF)—with none other than the CNCF's CTO and co-founder, Chris Aniszczyk. Chris joins host Dotan Horovits on a fascinating fireside chat, looking back at the CNCF's journey from a bold experiment into a central pillar of modern infrastructure. They discuss the current state of cloud-native, across Kubernetes and an ecosystem of over 200 projects, and share their grounded predictions for 2026 and into the second decade.Beyond his role at the CNCF, Chris Aniszczyk serves as Executive Director of the Open Container Initiative (OCI), and CTO, Cloud & Infrastructure, at The Linux Foundation, the parent organization of the CNCF, OCI, OpenInfra and more. At Twitter, he created their open source program and led their open source efforts. You can read the recap post: https://medium.com/p/479e6bbf793c/Show Notes:00:00 - intro01:51 - 10th anniversary to the CNCF06:18 - the expanding scope of cloud native and Kubernetes14:58 - the community expansion around the world20:49 - KubeCon Europe29:30 - consolidation of observability and security34:00 - intersection of CNCF, FinOps and AI37:35 - AI-generated code contribution for open source43:46 - announcing the Agentic AI Foundation and MCP donation53:00 - outro Resources:Observability for AI workloads: https://medium.com/p/b8972ba1b6baCNCF Ambassador'sReflections on 10 Years of CNCF: https://medium.com/p/a796646db552Agentic AI Foundation formation: https://www.linuxfoundation.org/press/linux-foundation-announces-the-formation-of-the-agentic-ai-foundationSocials:BlueSky: https://bsky.app/profile/openobservability.bsky.socialTwitter: ⁠https://twitter.com/OpenObserv⁠LinkedIn: https://www.linkedin.com/company/openobservability/YouTube: ⁠https://www.youtube.com/@openobservabilitytalks⁠Dotan Horovits============Twitter: @horovitsLinkedIn: www.linkedin.com/in/horovitsMastodon: @horovits@fosstodonBlueSky: @horovits.bsky.socialChris Aniszczyk===============Twitter: @craLinkedIn: https://www.linkedin.com/in/caniszczyk/   Mastodon: @cra@macaw.socialOpenObservability Talks episodes are released monthly, on the last Thursday of each month and are available for listening on your favorite podcast app and on YouTube.

On episode 48 of The Kubelist Podcast, Marc Campbell and Benjie De Groot sit down with Justin Cappos, professor at NYU and a pioneer in software supply chain security. They explore the origins of modern package manager security, the real-world limits of SBOMs, and why systems should be designed assuming compromise. The conversation spans CNCF governance, in-toto, TUF, Git security, and the emerging role of AI in securing software.

On episode 48 of The Kubelist Podcast, Marc Campbell and Benjie De Groot sit down with Justin Cappos, professor at NYU and a pioneer in software supply chain security. They explore the origins of modern package manager security, the real-world limits of SBOMs, and why systems should be designed assuming compromise. The conversation spans CNCF governance, in-toto, TUF, Git security, and the emerging role of AI in securing software.

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.

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.

At KubeCon + CloudNativeCon 2025 in Atlanta, the panel of experts - Kate Goldenring of Fermyon Technologies, Idit Levine of Solo.io, Shaun O'Meara of Mirantis, Sean O'Dell of Dynatrace and James Harmison of Red Hat - explored whether the cloud native era has evolved into an AI native era — and what that shift means for infrastructure, security and development practices. Jonathan Bryce of the CNCF argued that true AI-native systems depend on robust inference layers, which have been overshadowed by the hype around chatbots and agents. As organizations push AI to the edge and demand faster, more personalized experiences, Fermyon's Kate Goldenring highlighted WebAssembly as a way to bundle and securely deploy models directly to GPU-equipped hardware, reducing latency while adding sandboxed security.Dynatrace's Sean O'Dell noted that AI dramatically increases observability needs: integrating LLM-based intelligence adds value but also expands the challenge of filtering massive data streams to understand user behavior. Meanwhile, Mirantis CTO Shaun O'Meara emphasized a return to deeper infrastructure awareness. Unlike abstracted cloud native workloads, AI workloads running on GPUs require careful attention to hardware performance, orchestration, and energy constraints. Managing power-hungry data centers efficiently, he argued, will be a defining challenge of the AI native era.Learn more from The New Stack about evolving cloud native ecosystem to an AI native eraCloud Native and AI: Why Open Source Needs Standards Like MCPA Decade of Cloud Native: From CNCF, to the Pandemic, to AICrossing the AI Chasm: Lessons From the Early Days of CloudJoin 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.

#326: Microservices architecture has evolved far beyond simple distributed systems, but most development teams are still rebuilding the same foundational patterns over and over again. Mark Fussell, co-founder of Dapr and Diagrid, explains how his team at Microsoft identified this repetitive reinvention problem and created a solution that abstracts away the complexity of service discovery, messaging, state management, and security while providing true cloud portability. Dapr emerged from Microsoft's Azure incubations team with a clear mission: stop forcing developers to rebuild distributed systems patterns from scratch. The runtime provides standardized APIs for common microservices needs while allowing teams to swap underlying infrastructure components without changing application code. Whether using Kafka, RabbitMQ, Redis, or cloud-native messaging services, developers write against consistent APIs while platform teams maintain control over infrastructure choices. The conversation covers Dapr's journey from Microsoft internal project to CNCF graduated status, the technical decisions behind its multi-language approach, and how it integrates with existing frameworks like Spring Boot and .NET. Mark also discusses Diagrid's platform play around durable workflows and the emerging role of Dapr in AI agent development. Darin and Viktor explore the practical adoption challenges, the balance between developer productivity and platform engineering concerns, and why experienced developers tend to embrace abstraction layers more readily than those building their first distributed systems.   Mark's contact information: X: https://x.com/mfussell LinkedIn: https://www.linkedin.com/in/mfussell/   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/

Generative AI is everywhere, but how do we monitor and observe it? OpenTelemetry has been a prominent tool and standard for observability, and recently the OTel community has been aiming to expand its scope and cover GenAI workloads with semantic conventions and tools.In this episode, Horovits is joined by Nir Gazit, creator of the OpenLLMetry project, and member of the OpenTelemetry Generative AI SIG. We discuss new semantic conventions, tracing prompts and model behavior, the OpenLLMetry project's journey, and what observability even means for modern AI systems.Nir Gazit is the CEO and co-founder of Traceloop, and brings a wealth of data and AI experience, with previous experience leading AI teams at Google and serving as the Chief Architect at Fiverr.You can read the recap post: https://medium.com/p/81b9cea6a771/Show Notes:00:00 - intro 04:09 - what is observability for AI18:07 - AI observability differences from traditional observability25:22 - OpenLLMetry intro41:21 - OpenLLMetry latest updates and roadmap47:00 - OpenTelemetry GenAI Semantic Conventions SIG56:03 - KubeCon updates: CrossPlane, Knative, Dragonfly, in-toto reached CNCF graduation 1:00:08 - outroResources:OpenTelemetry Generative AI Observability SIG: https://github.com/open-telemetry/community/blob/1c71595874e5d125ca92ec3b0e948c4325161c8a/projects/llm-semconv.mdhttps://github.com/traceloop/openllmetryhttps://github.com/traceloop/hubhttps://github.com/traceloop/opentelemetry-mcp-serverSocials:BlueSky: https://bsky.app/profile/openobservability.bsky.socialTwitter: ⁠https://twitter.com/OpenObserv⁠LinkedIn: https://www.linkedin.com/company/openobservability/YouTube: ⁠https://www.youtube.com/@openobservabilitytalks⁠Dotan Horovits============Twitter: @horovitsLinkedIn: www.linkedin.com/in/horovitsMastodon: @horovits@fosstodonBlueSky: @horovits.bsky.socialNir Gazit========Twitter: https://x.com/nir_gaLinkedIn: https://www.linkedin.com/in/nirga/OpenObservability Talks episodes are released monthly, on the last Thursday of each month and are available for listening on your favorite podcast app and on YouTube.

#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/

Marina Moore, a security researcher and the co-chair of the security and compliance TAG of CNCF, shares her concerns about the security vulnerabilities of containers. She explains where the issues originate, providing solutions and discussing alternative routes to using micro-VMs rather than containers. Additionally, she highlights the risks associated with AI inference. Read a transcript of this interview: https://bit.ly/4qUCcyi Subscribe to the Software Architects' Newsletter for your monthly guide to the essential news and experience from industry peers on emerging patterns and technologies: https://www.infoq.com/software-architects-newsletter Upcoming Events: QCon San Francisco 2025 (November 17-21, 2025) Get practical inspiration and best practices on emerging software trends directly from senior software developers at early adopter companies. https://qconsf.com/ QCon AI New York 2025 (December 16-17, 2025) https://ai.qconferences.com/ QCon London 2026 (March 16-19, 2026) https://qconlondon.com/ The InfoQ Podcasts: Weekly inspiration to drive innovation and build great teams from senior software leaders. Listen to all our podcasts and read interview transcripts: - The InfoQ Podcast https://www.infoq.com/podcasts/ - Engineering Culture Podcast by InfoQ https://www.infoq.com/podcasts/#engineering_culture - Generally AI: https://www.infoq.com/generally-ai-podcast/ Follow InfoQ: - Mastodon: https://techhub.social/@infoq - X: https://x.com/InfoQ?from=@ - LinkedIn: https://www.linkedin.com/company/infoq/ - Facebook: https://www.facebook.com/InfoQdotcom# - Instagram: https://www.instagram.com/infoqdotcom/?hl=en - Youtube: https://www.youtube.com/infoq - Bluesky: https://bsky.app/profile/infoq.com Write for InfoQ: Learn and share the changes and innovations in professional software development. - Join a community of experts. - Increase your visibility. - Grow your career. https://www.infoq.com/write-for-infoq

At KubeCon 2025, the CNCF launched the Certified Kubernetes AI Conformance Program to standardize AI and ML workloads on Kubernetes, ensuring portability across hybrid and sovereign clouds and preventing platform lock-in. Supported by companies like Google, Microsoft, Oracle, Broadcom, and Red Hat, the initiative promotes interoperability, scalability, and efficient production deployment. Arm showcased its Neoverse platform alongside Google Cloud's Axion N4A VMs, enabling energy-efficient, scalable AI workloads, while partnerships with CNCF projects like Harbor, OPA, Kedify, and AuthZed help developers build secure, portable, and cost-effective cloud-native systems from edge to cloud. This and more on the Tech Field Day News Rundown recorded live at Commvault Shift with Tom Hollingsworth and Stephen Foskett. Time Stamps:0:00 - Welcome to the Tech Field Day News Rundown1:17 - VAST Data makes $1.17B Deal with CoreWeave4:42 - Spektrum Labs Uses Cryptography to Prove Cyber Resilience7:37 - HPE Drops Qumulo, Scality, and WEKA to Focus on Its Own Storage10:56 - Red Hat Unveils Major OpenShift 4.20 Updates for AI, Security, and Edge13:57 - AWS Builds Transatlantic Fastnet Cable to Boost Cloud and AI17:31 - Pentagon Expects Industry to Train AI, Not Pay for It20:34 - CNCF Standardizes AI Workloads on Kubernetes25:17 - Arm and CNCF Showcase Efficient Cloud-Native Systems at KubeCon 202529:26 - Thank You Commvault for Hosting Tech Field Day31:01 - The Weeks Ahead32:55 - Thanks for Watching the Tech Field Day News RundownFollow our hosts ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Tom Hollingsworth⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Alastair Cooke⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, and ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Stephen Foskett⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Follow Tech Field Day ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠on LinkedIn⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠X/Twitter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Bluesky⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, and on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Mastodon⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠.

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

Guests are Clayton Coleman and Rob Shaw. Clayton is a Core contributor to Kubernetes, the containerized cluster manager, and founding architect for OpenShift, the open source platform as a service. Clayton helped launch the shift to cloud native applications and the platforms that enable them. At Google my mission is to make Kubernetes and GKE the best place to run workloads, especially accelerated AI/ML workloads, and especially especially very large model inference at scale with the inference gateway and llm-d. Rob Shaw is an Engineering Director at Redhat and is a contributor to the vLLM project.   Do you have something cool to share? Some questions? Let us know: - web: kubernetespodcast.com - mail: kubernetespodcast@google.com - twitter: @kubernetespod - bluesky: @kubernetespodcast.com   News of the week Kubernetes 1.34 is expected to release end of August Kubecrash.io: A platform Eng conference with a purpose CNCF top 30 project of 2025 Links from the interview LLM-D KubeCon EU 25 Keynote: LLM-Aware Load Balancing in Kubernetes WG Serving vLLM Disaggregated Prefilling LWS: LeaderWorkerSet