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Посты канала
LearnKube news
Repost from N/a
"I just want Kubernetes to disappear." Zain Malik from ExoStellar shares his vision for the next decade: a world where Kubernetes becomes so automated and self-reliant that developers don't even know they're running on it. The goal isn't to learn Kubernetes—it's to move to the next layer where everyone can reliably build applications without thinking about the underlying platform. Watch the full interview: https://ku.bz/rwttMCncv

2
Fulling automatically sets up a complete development environment with Next.js, PostgreSQL, and Claude Code so you can build f
Fulling automatically sets up a complete development environment with Next.js, PostgreSQL, and Claude Code so you can build full-stack apps through natural language conversation. More: https://ku.bz/NWz4hg2d6
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This tutorial shows how to deploy a 5-agent ADK system on Amazon EKS and test Agent-to-Agent workflows with Gemini CLI. More:
This tutorial shows how to deploy a 5-agent ADK system on Amazon EKS and test Agent-to-Agent workflows with Gemini CLI. More: https://ku.bz/NwN8mpHb7
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This article explains how to control runaway GPU spend in Kubernetes by adding taints, quotas, labels, Prometheus rules, and
This article explains how to control runaway GPU spend in Kubernetes by adding taints, quotas, labels, Prometheus rules, and admission controls so teams can see who is using expensive GPU workloads and why. More: https://ku.bz/6cFxnhHGb
190
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This week on Learn Kubernetes Weekly 193: 🔍 Which of our Containers are Chainguard? 💸 One Forgotten Notebook on an A100. $1
This week on Learn Kubernetes Weekly 193: 🔍 Which of our Containers are Chainguard? 💸 One Forgotten Notebook on an A100. $1,800 a Month. 🔄 How an Admin Cluster Keeps Application Clusters in Sync with GitOps 📉 Cost Optimization of Spark on Kubernetes Batch Workloads on Public Clouds 🚪 ingress-nginx Is Archived: How We Migrated to kgateway (and Didn't Break Prod) Read it now: https://kube.today/issues/193 ⭐️ This newsletter is brought to you by LearnKube — master Kubernetes with hands-on training designed for engineers who want to learn the smart way https://ku.bz/hypSbyc-V
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Ray for distributed ML, K8sGPT for cluster diagnostics, and KRO for simplifying Kubernetes abstractions — Phil Estes from AWS
Ray for distributed ML, K8sGPT for cluster diagnostics, and KRO for simplifying Kubernetes abstractions — Phil Estes from AWS shares the tools he's watching most closely. 1. K8sGPT is a CNCF Sandbox project that scans your cluster and explains issues in plain language. 2. KRO is a cross-cloud collaboration between AWS, Google, and Azure that lets you define reusable Kubernetes abstractions. 3. Ray has become the go-to framework for running distributed AI workloads on Kubernetes. The pattern across all three: reducing complexity so teams can focus on workloads, not infrastructure. Watch the full interview: https://ku.bz/_ZLldHwVC
219
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k8s-ingress-gen is a visual diagram builder for Kubernetes resources with bidirectional YAML workflow. More: https://ku.bz/v8
k8s-ingress-gen is a visual diagram builder for Kubernetes resources with bidirectional YAML workflow. More: https://ku.bz/v84YBJFK2
206
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The CNCF ecosystem is evolving fast — here are three tools worth watching. Elamaran Shanmugam highlights: 1. Kagent (declarat
The CNCF ecosystem is evolving fast — here are three tools worth watching. Elamaran Shanmugam highlights: 1. Kagent (declarative agent creation on Kubernetes) 2. Agent Gateway (an API gateway for securing agent-to-agent communication via MCP and A2A) 3. Dapr (a CNCF graduated project bringing building blocks like memory management to AI agents). As agentic AI grows, these tools are making Kubernetes the platform for running agents alongside traditional workloads. Watch the full interview: https://ku.bz/DCxhgWQqS
209
9
Kubernetes currently manages CPU, memory, and volumes. But AI workloads need more — GPUs, InfiniBand networking, specialized
Kubernetes currently manages CPU, memory, and volumes. But AI workloads need more — GPUs, InfiniBand networking, specialized drivers. Dynamic resource allocation (DRA) is Kubernetes' answer. Nick Eberts explains how DRA extends the scheduler to handle specialized hardware, making GPU sharing and topology-aware scheduling more efficient. The benefit isn't limited to AI/ML either — any future technology that requires scheduling-time decisions will plug into the same framework. Watch the full interview: https://ku.bz/G1QSYQTn2 This interview is a reaction to Fabián Sellés Rosa's episode https://ku.bz/NsBZ-FwcJ
232
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Webernetes is a browser-based Kubernetes simulator that allows users to run a subset of Kubernetes features, including Pods, Services, and Deployments, entirely in the Browser without backend infrastructure. More: https://ku.bz/9M7CfFK16
241
11
Zain Malik, Software @ Exostellar, explains how his team doubled the number of managed Kubernetes clusters without growing he
Zain Malik, Software @ Exostellar, explains how his team doubled the number of managed Kubernetes clusters without growing headcount. He describes how automation through Cluster API and GitOps transformed their operations by reducing firefighting and manual node pool upgrades. The improvements allowed them to reduce from multiple dedicated engineers to just one person handling cluster upgrades, with the ability to rotate different team members through standardized processes. Zain highlights how removing human intervention from critical operations and implementing defined rules for workload disruption significantly reduced user-impacting incidents during maintenance windows. Watch the full episode: https://ku.bz/5PLksqVlk
227
12
Tsahi Duek from AWS is watching three different Kubernetes layers: composition, scheduling, and autoscaling. - KRO handles re
Tsahi Duek from AWS is watching three different Kubernetes layers: composition, scheduling, and autoscaling. - KRO handles resource composition while ACK bridges Kubernetes to AWS APIs. - Kueue manages gang scheduling for GPU workloads — keeping nodes physically close for better network topology. - Karpenter handles node provisioning, including capacity reservations for AI workloads. Watch the full interview: https://ku.bz/2r41YKBZb
334
13
This article explains how kube-gpu-top helps Kubernetes teams find idle or compute-idle GPUs by mapping NVIDIA GPU metrics to owning pods and estimating monthly waste without Prometheus or Grafana. More: https://ku.bz/RztgvXMZZ
319
14
Migratowl is an AI-powered dependency migration analyzer that upgrades dependencies in isolated sandboxes, runs tests, reads
Migratowl is an AI-powered dependency migration analyzer that upgrades dependencies in isolated sandboxes, runs tests, reads changelogs, explains breakages, and suggests fixes. More: https://ku.bz/5Ddt6Pjj1
316
15
kubectl-mcp-server lets AI assistants use natural language to inspect and manage Kubernetes clusters through kubectl operations, Docker support, kubeconfig mounting, and MCP-compatible tooling. More: https://ku.bz/r2PJ8Y4zs
344
16
Olawale Olaleye breaks down the three Kubernetes tools he is watching closely for AI workloads: KRO, KServe, and Karpenter. H
Olawale Olaleye breaks down the three Kubernetes tools he is watching closely for AI workloads: KRO, KServe, and Karpenter. He explains why each one matters, from reusable Kubernetes abstractions to serving model inference and provisioning the right compute for AI. Watch the full interview: https://ku.bz/LKc3mB0lp
355
17
This article explains how to detect which running Kubernetes containers use Chainguard or other base images by reading runtim
This article explains how to detect which running Kubernetes containers use Chainguard or other base images by reading runtime OS data through node-level proc inspection. More: https://ku.bz/_hgKPc3L-
341
18
This week on Learn Kubernetes Weekly 192: 🔧 Our Kubernetes Operator Didn't Scale, So We Rebuilt It 🔀 ClickHouse Shard Rebal
This week on Learn Kubernetes Weekly 192: 🔧 Our Kubernetes Operator Didn't Scale, So We Rebuilt It 🔀 ClickHouse Shard Rebalancing on Kubernetes: From Talk to Operator 💥 Invisible OOMkill: Java Pods Crashing in Kubernetes 🗂️ Using Kubernetes ConfigMaps as a Real-Time State Store 🚨 From Container Escape to Cloud Takeover: A Real-World Cloud Security Assessment Read it now: https://kube.today/issues/192 ⭐️ This newsletter is brought to you by Buoyant, the creators of Linkerd https://ku.bz/BB-RtVFWs
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19
LFK is a keyboard-first terminal UI for navigating Kubernetes clusters with a Miller-column layout, owner-based resource hierarchy, logs, Helm, ArgoCD, Trivy, RBAC, and crash investigation views. More: https://ku.bz/-GycMtgx6
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20
Amine Hilaly, Software Development Engineer at Amazon Web Services (AWS), shares his biggest takeaway from KubeCon: gang sche
Amine Hilaly, Software Development Engineer at Amazon Web Services (AWS), shares his biggest takeaway from KubeCon: gang scheduling. This Kubernetes concept involves scheduling multiple pods simultaneously, rather than individually. Watch the full interview: https://ku.bz/DVM_j_Qjw
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