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منشورات القناة
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
| 2 |  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 | 176 |
| 3 |  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- | 213 |
| 4 |  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 | 676 |
| 5 | 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 | 266 |
| 6 |  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 | 289 |
| 7 |  This article shows how a probe-driven Go load balancer was tested against Kubernetes workloads and why benchmark discipline mattered more than the algorithm.
More: https://ku.bz/4RK0ZTM26 | 257 |
| 8 |  k8s-d2 generates D2 diagram files from Kubernetes cluster topology, visualizing namespaces, workloads, services, and their relationships with customizable grid layouts and filtering options.
More: https://ku.bz/xQh3dWh5q | 201 |
| 9 | Molly Sheets, Director of Engineering, Kubernetes at Zynga, explains the strategic decision points for when teams should create separate clusters instead of continuing with multi-tenant approaches. She outlines two primary scenarios: geographic and latency requirements for global gaming deployments, and critical workload isolation during major incidents.
Using Battle Royale games as an example, Molly demonstrates how different game components have varying latency needs - competitive gameplay requires ultra-low latency through regional clusters, while transactional features like purchasing can tolerate higher latency. She also discusses how separate clusters enable prioritized incident response, allowing teams to handle critical workloads first when cloud providers experience outages or availability zone failures.
Watch the full episode: https://ku.bz/Rmpl8948_ | 222 |
| 10 | Sai Vennam, Principal Solutions Architect at Amazon Web Services (AWS), discusses the evolution of Kubernetes over its first decade and what the next 10 years hold.
He reflects on how the community has matured from learning basic concepts to implementing complex patterns and best practices at scale.
Watch the full interview: https://ku.bz/MgHpbXg4Y | 306 |
| 11 | Ariadne turns Kubernetes cluster state into a Memgraph property graph so agents can answer relationship-heavy questions with read-only Cypher instead of raw YAML dumps.
More: https://ku.bz/s3Pyv-5M9 | 299 |
| 12 | Three tools Raglin Anthony is keeping an eye on: KRO (Kube Resource Orchestrator), Kueue/Multi-Kueue, and KubeVirt.
- KRO simplifies the creation of custom APIs in Kubernetes clusters.
- Multi-Kueue solves GPU job scheduling across regions for AI/ML workloads.
- KubeVirt lets you run virtual machines inside Kubernetes now that EC2 supports nested virtualization.
Watch the full interview: https://ku.bz/2XqMJnLVx | 284 |
| 13 | Tanat Lokejaroenlarb, Staff Site Reliability Engineer at Adevinta, explains their wave-based approach to Kubernetes upgrades despite thorough preparation with node rebuilds and API deprecation checks. He shares a valuable lesson from a Reddit post-mortem where an upgrade from Kubernetes 1.23 to 1.24 caused a major outage despite comprehensive testing in development environments.
Tanat's team implements a gradual upgrade strategy by categorizing clusters based on workload criticality. They start with less critical clusters, monitor for 1-2 days to ensure stability, then progressively move to higher-impact systems. This methodical approach acknowledges that "nothing is like production" and builds confidence by validating changes in real production environments with minimal business risk first.
Watch the full episode: https://kube.fmhttps://ku.bz/VVHFfXGl_ | 264 |
| 14 | Most teams reach for custom operators when they need to automate Kubernetes workflows. Jason Deal from AWS thinks KRO (Kubernetes Resource Orchestrator) changes that equation.
KRO lets you define complex automations using declarative custom resources — no operator code required. Paired with ACK (AWS Controllers for Kubernetes), you can manage AWS primitives directly from Kubernetes. And for node lifecycle, Karpenter continues to evolve: v1 shipped over a year ago, and work on accelerated hardware support and reserved capacity is ongoing.
Three tools worth watching if you want to reduce the operational surface of your cluster.
Watch the full interview: https://ku.bz/1_-DTgLsg | 251 |
| 15 | Infisical's case study explains why its Kubernetes operator hit memory and authentication scaling limits and how a reference-based CRD design fixed secret sync.
More: https://ku.bz/-V6qjC7h- | 850 |
| 16 |  zeropod is a tool that automatically checkpoints containers to disk after a certain amount of time of the last TCP connection, allowing for fast and seamless scaling down to zero.
More: https://ku.bz/DXHBX4qqQ | 242 |
| 17 | Alex Kestner keeps a close eye on three Kubernetes projects: Karpenter (which he launched), the workload API and pod group API proposals for AI training and batch workloads, and dynamic resource allocation for accelerated infrastructure.
All three are shaping how Kubernetes handles large-scale, GPU-heavy workloads — and they're worth tracking.
Watch the full interview: https://ku.bz/blMzG_XM7 | 339 |
| 18 | Kubernetes MCP Server lets Claude, VS Code, Cursor, and other MCP clients inspect and manage Kubernetes or OpenShift resources through a native Go server.
More: https://ku.bz/GkblZ6HvP | 330 |
| 19 | Danyl Novhorodov, Software Engineer & Architect @ Eneco, discusses his controversial thesis that 90% of teams don't need Kubernetes and explains how Kubernetes became the dominant force in container orchestration.
Watch the full episode: https://ku.bz/BYhFw8RwW | 351 |
| 20 |  This week on Learn Kubernetes Weekly 191:
🔥 What Does 4.4% GPU Utilization Actually Mean?
🛠️ GKE IP Exhaustion Fixed: The Class E Migration Guide
🧹 Evicting MCP Tool Calls from Your Kubernetes Cluster
🔄 The Feedback Loops Behind Kubernetes
🧠 You Don't Have a GIL Problem — You Have a CPU Problem
Read it now: https://kube.today/issues/191
⭐️ 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 | 1 170 |
