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News and links on architecting and developing apps on Kubernetes curated by the @Learnk8s team
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Channel Posts
A native iOS and Android app for monitoring and managing Argo CD deployments from your phone.
More: https://ku.bz/B2PTPHXxL
| 2 |  Mai Nishitani, Director Enterprise Architecture @ NTT Data, breaks down why managing Kubernetes at enterprise scale is fundamentally different from the promise of simplified microservices.
Mai reveals that despite organizations claiming to practice "DevOps," enterprise teams remain heavily siloed - with separate DevOps teams, application developers, infrastructure teams, and security teams all requiring coordination. The real challenge isn't technical complexity, but getting approval and planning across all these different teams for something as routine as a Kubernetes upgrade.
Watch the full episode: https://ku.bz/3hWvQjXxp | 92 |
| 3 |  This week on Learn Kubernetes Weekly 198:
🏗️ Data Lakehouse: Infrastructure
🔭 What the Popularity of Emerging Tools Tells Us About Kubernetes' Future
⚡ Kafka on Kubernetes: Performance Lessons for Any Disk-Heavy Data Service
🌐 To Centralise or Not to Centralise: The Questions That Shaped the Kubernetes CODECO Federated Architecture
🚨 Your AI Just Deleted the Wrong Deployment. Now What?
Read it now: https://kube.today/issues/198
⭐️ 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 | 127 |
| 4 | CruiseKube is a Kubernetes-native resource optimization controller that automates CPU and memory right-sizing for workloads at runtime and admission time.
More: https://ku.bz/tpcxHcx1Z | 300 |
| 5 |  Stephan Schwarz, DevOps Engineer at iits-consulting, shares his final advice for engineers starting their performance testing journey with Kubernetes workloads.
He emphasizes four key practices: make only one change at a time to properly isolate variables, document everything you do, stay calm and inform your organization about testing plans to avoid surprises, and keep sweets and coffee around during long testing sessions.
His advice reflects the reality that performance testing requires technical discipline and attention to team dynamics. It combines methodical testing practices with practical considerations for maintaining morale during intensive testing work.
Watch the full episode: https://ku.bz/yY-FnmGfH | 336 |
| 6 |  KubeTable is a local-first desktop app for browsing databases inside your clusters, finding them from your kubeconfig and handling port-forwards so you can query Postgres, MySQL, Redis or MongoDB directly.
More: https://ku.bz/TGdTskJzd | 307 |
| 7 | Introducing Kube Signals: the new KubeFM show that turns keynote trends into direct conversations with the speakers shaping them.
For episode one, Brian Teller sits down with Saiyam Pathak from vCluster after his KubeCon India keynote on AI factories. They examine why the GPU beneath the model is becoming a platform-engineering problem.
They discuss:
- Why whole-GPU allocation wastes capacity
- How DRA, HAMI, MIG, and MPS enable sharing
- What Kubernetes must learn to support AI factories
Watch the full episode: https://ku.bz/4QZDqrnf-
This episode is sponsored by LearnKube. Download the free book, The Technical Guide to Kubernetes Rightsizing, to understand what Prometheus and Grafana cannot tell you about safely reducing requests and limits. | 245 |
| 8 |  🎟️ We have 50 free OPEN Passes for API World + CloudX + AI TechWorld 2026!
Join developers, engineering leaders, and startups at three co-located conferences focused on APIs, cloud, and AI engineering. Each pass is valued at $195.
📆 September 1–3, 2026
📍 Santa Clara Convention Center, CA
Claim your free pass: https://link.devnetwork.com/GZljiJ78 | 256 |
| 9 | Manual resource settings often stay manual for a long time.
Andrea Giardini says automated rightsizing only becomes acceptable after teams see consistent results, understand the feedback loop, and gain confidence in the system.
AI-assisted recommendations can help. Adoption is still gradual.
Watch the full interview: https://ku.bz/RS1WM5R74 | 352 |
| 10 |  This article presents a proof of concept in which an Elasticsearch MCP server runs on Kubernetes so an SRE agent can search logs in plain language, and it ends with the authentication and RBAC work still needed for production.
More: https://ku.bz/sVf2HFvfq | 325 |
| 11 | AWS built KRO (Kubernetes Resource Orchestrator) to solve the service wiring problem.
Sebastien Allamand explains: you define a composition — inputs, outputs, and all dependent resources. Deploy a database, store secrets, wire them to your deployment. The user just instantiates the application by name; KRO handles the rest.
One API call instead of a dozen YAML files.
Watch the full interview: https://ku.bz/hGZChYmJ7 | 362 |
| 12 |  This tutorial walks through deploying the WSO2 API Platform Gateway on OpenShift, from building the images and installing cert-manager to applying the gateway operator, a sample REST API, and the route that exposes it.
More: https://ku.bz/mgzxbfHBW | 339 |
| 13 |  🚀 We just published The Technical Guide to Kubernetes Rightsizing in the Age of AI.
The guide follows the complete rightsizing process, from collecting metrics to applying changes safely in production.
- It explains how requests and limits affect scheduling and Linux resource controls.
- It examines how application runtimes change CPU and memory behavior.
- It also shows how KRR and VPA turn historical data into recommendations.
The book also examines where AI can help: collecting evidence, explaining recommendations, drafting policy, and carrying approved changes across systems without breaking prod.
Thank you to Gulcan and @danielepolencic for the research, experiments, writing, and illustrations behind this book.
Download the complete guide for free:
https://learnkube.com/kubernetes-rightsizing | 328 |
| 14 | This tutorial explains why Gateway API replaces Ingress on GKE, walking through GatewayClass, Gateway, and HTTPRoute, then sets up traffic splitting and TLS without vendor-specific annotations.
More: https://ku.bz/_qb-q_1nC | 519 |
| 15 | App teams say it's networking. Networking says it's the app. Platform teams are stuck in the middle.
Elamaran Shanmugam walks through how organizations troubleshoot today — application metrics, infrastructure metrics, then networking — but by the time you dig into it, the ephemeral pod is gone. With container network observability on Amazon EKS, you get retransmission and flow-level metrics that pinpoint networking issues and can solve in minutes what used to take hours.
Watch the full interview: https://ku.bz/DCxhgWQqS | 533 |
| 16 |  This article argues that MCP servers for Kubernetes ship the accelerator without the brake, and walks through a two-tier design in which an agent can only propose a change, and a human approves the exact plan before it is applied.
More: https://ku.bz/qwTBzbg1y | 607 |
| 17 |  Kubernetes is not difficult because there are too many commands.
It is difficult because networking, scheduling, deployments, storage, autoscaling, and security interact in ways that are hard to see.
Our live Advanced Kubernetes course connects those pieces into one practical mental model.
The next online course runs on 10, 11, 17, and 18 September.
- Four days of live instruction
- 60% hands-on labs
- Small classes
- Lifetime access to the material and private Slack
Joining individually?
https://learnkube.com/online-advanced-september-2026
Need several engineers to build the same baseline? We also deliver private training around your platform, workloads, and goals:
https://learnkube.com/corporate-training | 380 |
| 18 | kstack is a skill pack for Claude Code that runs monitoring, troubleshooting and audit tasks on your clusters, handing the heavy shell work to tools like Kubetail, Helm and Trivy to keep answers fast.
More: https://ku.bz/K_RzQ3R1W | 522 |
| 19 |  Klarity is a read-only Kubernetes dashboard for GitOps teams: it shows everything running in the cluster but never lets anyone change it outside Git.
More: https://ku.bz/-nsjD3JZ9 | 564 |
| 20 |  This article explains the centralise-or-not trade-off behind CODECO's federated Kubernetes architecture across cloud, edge and IoT, and how neighbourhood-scoped control, decentralised AI and federated scheduling answer it.
More: https://ku.bz/t-m2K1CTK | 591 |
