Kubernetes Podcast from Google

Abdel Sghiouar, Kaslin Fields
Kubernetes Podcast from Google

A weekly podcast focused on what's happening in the Kubernetes community hosted by Abdel Sghiouar and Kaslin Fields. We cover Kubernetes, cloud-native applications, and other developments in the ecosystem. Abdel and Kaslin on Twitter at @KubernetesPod or by email at kubernetespodcast@google.com.

  1. Working Group Serving, with Yuan Tang and Eduardo Arango

    ٢٨ ربيع الآخر

    Working Group Serving, with Yuan Tang and Eduardo Arango

    Yuan is a principal software engineer at Red Hat, working on OpenShift AI. Previously, he has led AI infrastructure and platform teams at various companies. He holds leadership positions in open source projects, including Argo, Kubeflow, and Kubernetes WG Serving. Yuan authored three technical books and is a regular conference speaker, technical advisor, and leader at various organizations. Eduardo is an environmental engineer derailed into a software engineer. Eduardo has been working on making containerized environments the de facto solution for High Performance Computing(HPC) for over 8 years now. Began as a core contributor to the niche Singularity Containers, today known as Apptainer under the Linux foundation. In 2019 Eduardo moved up the ladder to work on making Kubernetes better for performance oriented applications. Nowadays Eduardo works at NVIDIA on the Core Cloud Native team working on enabling specialized accelerators into Kubernetes workloads. 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 Docker official terraform provider Tetrate and Bloomberg Envoy AI Gateway  KubeCon+CloudNativeCon North America 2024 laptop drive Remaining KCDs for 2024 Links from the interview Yuan Tang Eduardo Arango WG Serving Kserve Kserve Serving models with OCI images LLM Gateway Dynamic Resources Allocation

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  2. Container Security, with Michele Chubrika

    ١٢ ربيع الآخر

    Container Security, with Michele Chubrika

    This episode is special. We collaborated with the folks behind the Cloud Security Podcast from Google, Anton Chuvakin(LinkedIn)and Tim Peacock, to bring you a joint episode. We had the pleasure to jointly interview Michelle Chubirka, a Cloud Security Developer Advocate. We talked about VM and Container security, debunked some myths about isolation, attack surfaces, immutability of containers, and more.   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 Nvidia NIM on GKE Kubernetes Steering Committee Election Results for 2024 The schedule for KubeCon and CloudNativeCon India Diagrid Catalyst Beta Dapr on the Kubernetes Podcast with Salaboy Links from the interview Cloud Security Podcast Anton Chuvakin Tim Peacock Michelle Chubirka Dora report Container Security: It’s All About the Supply Chain - Michele Chubirka Software composition analysis (SCA) DevSecOps Decisioning Principles Kubernetes CIS Benchmark Cloud-Native Consumption Principles State of WebAssembly outside the Browser - Abdel Sghiouar Why Perfect Compliance Is the Enemy of Good Kubernetes Security - Michele Chubirka - KubeCon NA 2024 Links from the post-interview chat Cloud Code Skaffold Introduction to Distributed ML Workloads with Ray on Kubernetes - Mofi Rahman & Abdel Sghiouar - KubeCon NA 2024

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  3. Ray & KubeRay, with Richard Liaw and Kai-Hsun Chen

    ٣٠ صفر

    Ray & KubeRay, with Richard Liaw and Kai-Hsun Chen

    In 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 CNCF Blog - LitmusChaos audit complete! Kubernetes Podcast from Google episode 234 - LitmusChaos, with Karthik Satchitanand Google Cloud Blog - Run your AI inference applications on Cloud Run with NVIDIA GPUs Diginomica article - KubeCon China - at 33-and-a-third, Linux is a long player. So, why does Linus Torvalds hate AI? CNCF-Hosted Co-Located Event Schedule for KubeCon NA 2024  Google Kubernetes Engine Release Notes - August 20, 2024 (1.31 available in Rapid Channel) Kubernetes Podcast from Google - Kubernetes v1.31: "Elli", with Angelos Kolaitis Red Hat Press Release - Red Hat OpenStack Services on OpenShift is Now Generally Available Red Hat Enables OpenStack to Run Natively on OpenShift Platform Broadcom Revamps Tanzu to Simplify Cloud-Native App Development and Deployment Tanzu Platform 10 Offers Cloud Foundry Users Deep Visibility and Productivity Enhancements VMware Explore Conference Website CNCF Blog - Announcing 500 Kubestronauts CNCF - Kubestronaut FAQ Dapr Day 2024 Virtual Event Website Links from the interview Kai-Hsun Chen on LinkedIn Richard Liaw on LinkedIn Ray from the RISE Lab at UC Berkeley Ray: A Distributed System for AI by Robert Nishihara and Philipp Moritz - Jan 9, 2018 KubeRay Docs KubeRay on GitHub PyTorch Apache Airflow Apache Spark Kubeflow Apache Submarine (retired) Jupyter Notebooks VS Code Examples of schedulers for Batch/AI workloads in Kubernetes Kueue Volcano Apache Yunikorn Examples of observability tools for Batch/AI workloads in Kubernetes Prometheus Grafana Fluentbit Examples of loadbalancers Nginx Istio Ray Data: Scalable Datasets for ML Dask Python - Parallel Python Ray Serve: Scalable and Programmable Serving HPA - Horizontal Pod Autoscaling in Kubernetes Karpenter - “Just-in-time nodes for any Kubernetes cluster” Lazy Computation Graphs with the Ray DAG API Types of hardware accelerators Google Cloud Tensor Processing Units (TPUs) AMD Instinct AMD Radeon AWS Trainium AWS Inferentia Pandas Numpy KubeCon EU 2024 - Accelerators(FPGA/GPU) Chaining to Efficiently Handle Large AI/ML Workloads in K8s - Sampath Priyankara, Nippon Telegraph and Telephone Corporation & Masataka Sonoda, Fujitsu Limited NVidia Megatron Links from the post-interview chat DRA - Dynamic Resource Allocation in Kubernetes Different ways of Running RayJob on Kubernetes Ray framework diagram in the docs

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A weekly podcast focused on what's happening in the Kubernetes community hosted by Abdel Sghiouar and Kaslin Fields. We cover Kubernetes, cloud-native applications, and other developments in the ecosystem. Abdel and Kaslin on Twitter at @KubernetesPod or by email at kubernetespodcast@google.com.

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