This tutorial teaches you to deploy the Llama 3.1 405B model on GKE Autopilot with 8 x A100 80GB GPUs using KubeAI. More: https://ku.bz/3MM6Yy2R7
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News and links on K3s curated by the Learnk8s team
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https://k3sdaily.io
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In this article, you'll learn how kube-proxy and CNI work together to ensure seamless communication between Pods in a Kubernetes cluster. More: https://ku.bz/rphks-RwK
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This article explores Kubernetes networking, focusing on Services, kube-proxy, and load balancing. It covers how pods communicate within a cluster, how Services direct traffic, and how external access is managed. More: https://ku.bz/g8mV1ZYJf
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This week on Learn Kubernetes Weekly 120: 🏎️ Ingesting F1 telemetry UDP real-time data in AWS EKS 🏆 Scaling infrastructure for millions: from challenges to triumphs 🥷 Pentesting Docker 101 ⚛️ Atomic ConfigMap updates in Kubernetes: how symlinks and kubelet make it happen 🪫 Not enough resources? How to manage CPU and RAM! Read it now: https://lnkd.in/gUFr98Vx ⭐️ Don't let infrastructure block your teams. StackGen deterministically generates secure cloud infrastructure from any input - existing cloud environments, IaC or application code https://ku.bz/ftNR3t-XL
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Isala, Senior Software Engineer at WSO2, shares how his team discovered that Cilium's default Pod CIDR was conflicting with their Azure Firewall subnet assignments, causing traffic disruptions in their staging environment. You will learn: - How Cilium's default CIDR allocation can create routing conflicts with existing infrastructure - A methodical process for debugging network issues using packet tracing, routing table analysis, and firewall logs - The procedure for safely changing Pod CIDR ranges in production clusters Watch (or listen to) it here: https://ku.bz/kJjXQlmTw 🌟 This episode is brought to you by Learnk8s — Become an expert in Kubernetes! Join the next Advanced Kubernetes workshop: https://lnkd.in/e6mjaXf With 🎙Bart "Nessie" Farrell
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This week's 6 Kubernetes jobs that offer VISA sponsorships are: Platform Engineer with xAI 💰 $180K to $440K a year 🏠 From the office in San Francisco / Palo Alto, CA, USA → https://lnkd.in/gnRUF4Ng Software Engineer with Chai Research Corp. 💰 $200K to $300K a year 🏠 From the office in Palo Alto, CA, USA → https://lnkd.in/gkawbacS Software Engineer with Teleport 💰 $173.6K to $293K a year 👨💻 Remote from the United States of America → https://lnkd.in/grbXeeh4 Software Engineer with Persona 💰 $190K to $250K a year 👨💻 Remote from the United States of America → https://lnkd.in/g_7_Rc4d Site Reliability Engineer with Sardine 💰 $180K to $220K a year 👨💻 Remote from the United States of America, Canada → https://lnkd.in/g8UwVXfP Infrastructure Architect with Anchorage Digital 💰 $145K to $205K a year 👨💻 Remote from the United States of America → https://lnkd.in/gQkwt6Vy 👉 Browse all 921 Kubernetes jobs on Kube Careers https://kube.careers
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HolmesGPT is a tool that investigates incidents and provides root cause analysis for various issues, including Kubernetes, Prometheus, Jira, GitHub, OpsGenie, and PagerDuty alerts. It uses a large language model (LLM) to gather and analyze data. More: https://lnkd.in/gPC-JxCq
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K3s Daily reposted this
🌈 Unraveling the Kubernetes Multi-tenancy Spectrum! 🚀 From basic namespaces to dedicated clusters, the world of Kubernetes multi-tenancy is rich with options. But which one is right for you? This Thursday, I will try to answer the question as I explore "The State of Multi-tenancy in Kubernetes." https://lnkd.in/gPCcdjai Here is a preview of what I will be discussing: 1. Vanilla Kubernetes Namespaces: This is the simplest form of multi-tenancy. It is easy to set up but limited in isolation. It is perfect for trusted tenants. It should be the starting point for many, but often not enough for production. 2. Namespace-as-a-Service (NaaS): Tools like Capsule, Hierarchical Namespace Controller, and KubeSphere take namespaces to the next level. They offer improved resource management, hierarchical structures, and enhanced developer experience. NaaS bridges the gap between simplicity and ergonomics, making it a popular choice for teams stepping up their multi-tenancy game. 3. Kubernetes API as a Service (KAaaS): This is the "new" kid on the block, represented by projects like KubeZoo, capsule-proxy, and kcp. KAaaS provides dedicated API servers per tenant, offering stronger isolation without the overhead of a full control plane. It's an exciting middle ground that's gaining traction in the community. 4. Control Plane-as-a-Service (CPaaS) with nested nodes: Think vCluster and k3k. This approach creates virtual clusters within a host cluster, isolating Custom Resource Definitions (CRDs) without the cost of separate physical clusters. It's a clever way to balance security and resource efficiency, especially appealing to larger organizations with diverse teams and projects. 5. CPaaS with external nodes: Solutions like Kamaji, vCluster Pro, and Hypershift take isolation further. They offer dedicated control planes for managing external worker nodes, ideal for building Kubernetes as a managed service. This model provides strong tenant isolation while allowing centralized management, making it a go-to for service providers. 6. Dedicated clusters: The ultimate in isolation, managed by tools like Karmada, ArgoCD, Sveltos, and CAPI. They are perfect for scenarios requiring multi-region or multi-cloud setups or when compliance demands complete separation. Dedicated clusters offer the highest security but come with increased complexity and cost. They're the heavy-duty option for enterprises with stringent requirements. Are you curious about which approach might suit your use case? Do you want to understand the trade-offs between security, cost, and complexity? Join my webinar this Thursday to explore these concepts and more! https://lnkd.in/gPCcdjai
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duplik8s is a tool that allows you to easily duplicate Kubernetes resources, such as Pods, Deployments, and StatefulSets, with overridden commands and configurations. This makes it a powerful tool for testing, debugging, and development. More: https://lnkd.in/gwKpKK5k
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Karthik, Founder & Co-CEO at Yugabyte, explains how to tackle tool sprawl in Kubernetes. Instead of viewing individual tools, he recommends organizing them into functional areas. The foundation consists of: - Infrastructure as code - Observability and monitoring - Resilience and uptime - Open standards and portability On top of this foundation, he describes how to layer resource utilization, horizontal scalability, and AI/ML automation to build robust, mission-critical platforms on Kubernetes. Watch the full interview: https://ku.bz/4NN2xYwFh This interview is a reaction to Sven Hans Knecht's episode https://ku.bz/SyPM8Ch43