Ray & KubeRay, with Richard Liaw and Kai-Hsun Chen
Kubernetes Podcast from Google
Release Date: 09/03/2024
Kubernetes Podcast from Google
, the release lead for , discusses the theme of the release, Timbernetes, which symbolizes resilience and diversity in the Kubernetes community. He shares insights from his experience as a release lead, highlights key features and enhancements in the new version, and addresses the importance of coordination in release management. Drew also touches on the deprecations in the release and the future of Kubernetes, including its applications in edge computing. Do you have something cool to share? Some questions? Let us know: - web: - mail: - twitter: - bluesky: Links from the...
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, Staff Software Engineer at Google, explains the new Kubernetes AI Conformance program. Do you have something cool to share? Some questions? Let us know: - web: - mail: - twitter: - bluesky: Intro News of the Week Links from the interview
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GKE turned 10 in 2025! In this episode, we talk with GKE PM about GKE's journey from early container orchestration to AI-driven ops. Discover Autopilot, IPPR, and a bold vision for the future of Kubernetes. Do you have something cool to share? Some questions? Let us know: web: mail: kubernetespodcast@google.com X: bluesky: News of the week Links from the interview
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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: - mail: - twitter: - bluesky: News of the week Links from the interview
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is a technical writer working on the GKE docs. He contributes regularly to the upstream Kubernetes documentation. Do you have something cool to share? Some questions? Let us know: - web: - mail: - twitter: - bluesky: News of the week Links from the interview
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is a software engineer in the security team at Canonical and a member of the Kubernetes Security Response Committee. We talked about the new Release theme and what major updates, deprecations and removals to expect in this version. Do you have something cool to share? Some questions? Let us know: - web: - mail: - twitter: - bluesky: News of the week Links from the interview
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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...
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This episode is a crossover with our friends at the . Kaslin joined and to talk about Kubernetes for Platform Engineering. Do you have something cool to share? Some questions? Let us know: - web: - mail: - twitter: - bluesky: News of the week Links from the interview
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Guests are and . Pierre-Gilles and Glen are Google Developer Experts. We had an opportunity to catch up with them at Next 2025 and we spoke about Platform Engineering, GitOps, Policy as code and AI. Do you have something cool to share? Some questions? Let us know: - web: - mail: - twitter: - bluesky: News of the week Links from the interview
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leads the Platform Infrastructure team at CERN with a strong focus on cloud native deployments and machine learning. He has led the internal effort to transition services and workloads to use cloud native technologies, as well as dissemination and training for several years. Ricardo got CERN to join the CNCF and is a member of the Technical Oversight Committee (TOC), currently chairs the End User Technical Advisory Board (TAB), as well as leading the Research User Group (RUG). Do you have something cool to share? Some questions? Let us know: - web: - mail: - twitter: - bluesky: ...
info_outlineIn this episode, guest host and AI correspondent Mofi Rahman interviews Richard Liaw and Kai-Hsun Chen from Anyscale about Ray and KubeRay. Ray is an open-source unified compute framework that makes it easy to scale AI and Python workloads, while KubeRay integrates Ray’s capabilities into Kubernetes clusters.
Do you have something cool to share? Some questions? Let us know:
- web: kubernetespodcast.com
- mail: kubernetespodcast@google.com
- twitter: @kubernetespod
News of the week
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Kubernetes Podcast from Google episode 234 - LitmusChaos, with Karthik Satchitanand
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Google Cloud Blog - Run your AI inference applications on Cloud Run with NVIDIA GPUs
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Google Kubernetes Engine Release Notes - August 20, 2024 (1.31 available in Rapid Channel)
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Kubernetes Podcast from Google - Kubernetes v1.31: "Elli", with Angelos Kolaitis
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Red Hat Press Release - Red Hat OpenStack Services on OpenShift is Now Generally Available
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Red Hat Enables OpenStack to Run Natively on OpenShift Platform
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Broadcom Revamps Tanzu to Simplify Cloud-Native App Development and Deployment
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Tanzu Platform 10 Offers Cloud Foundry Users Deep Visibility and Productivity Enhancements
Links from the interview
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Ray: A Distributed System for AI by Robert Nishihara and Philipp Moritz - Jan 9, 2018
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Examples of schedulers for Batch/AI workloads in Kubernetes
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Examples of observability tools for Batch/AI workloads in Kubernetes
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Examples of loadbalancers
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Dask Python - Parallel Python
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Karpenter - “Just-in-time nodes for any Kubernetes cluster”
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Types of hardware accelerators
Links from the post-interview chat