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News and links on infrastructure and building Kubernetes clusters curated by the @Learnk8s team
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Дописи каналу
Repost from N/a
Shyam Jeedigunta, Principal Engineer at Amazon Web Services (AWS), shares his approach to building production-ready AI/ML platforms on Kubernetes.
Shyam discusses specific AWS technologies like EKS Auto for GPU and accelerator support (including Trainium and Inferentia), highlighting how teams can balance elastic and static capacity based on workload predictability. He covers performance optimizations, including fast image pulls with Containerd using Seekable OCI and multi-ENI pods that allow AI/ML workloads to leverage multiple network cards for high-bandwidth processing.
Watch the full interview: https://ku.bz/SG50vplJs
| 2 |  Sai Vennam, Principal Solutions Architect at Amazon Web Services (AWS), addresses a critical production challenge: clusters that scale up easily but struggle with efficient scale-down and rebalancing.
Sai positions Karpenter as the primary solution for intelligent node provisioning and cost optimization. He walks through a practical example where peak traffic utilizes three nodes at 80% capacity, but as demand drops, those same workloads spread across three nodes at only 20% utilization each. With Karpenter's bin packing capabilities, these workloads can be consolidated onto a single node at 60% utilization.
Watch the full interview: https://ku.bz/MgHpbXg4Y | 64 |
| 3 |  PostgreSQL on Kubernetes is no longer “can we?” but “how?”
This guide covers the architecture choices that matter: operators, HA, PgBouncer, storage, monitoring, backups, and PITR.
https://ku.bz/LvMcNf6KT | 51 |
| 4 |  With k-inv, you can stress a Kubernetes cluster in a fun way and check its resilience by playing space invaders.
More: https://ku.bz/chMMB0vF_ | 337 |
| 5 |  This week on Learn Kubernetes Weekly 187:
🧠 Applying Kubernetes Patterns to LLM Workloads
🐢 Why Your Grafana is Slow on Kubernetes (and 3 Replicas Won't Fix It)
📊 Observability at Albert Heijn
🎬 Vibe Coding a Kubernetes Media Server: What I Learned About AI-First Engineering
🔌 Installing Kong Gateway Custom Plugins on Kubernetes using Helm Charts
Read it now: https://kube.today/issues/187
⭐️ This newsletter is brought to you by WeAreDevelopers World Congress — The World’s Largest Event for Developers, AI Builders & Tech Leaders https://ku.bz/cwnthSpPK | 39 |
| 6 | This case study walks through a real debugging story on EKS Fargate where missing a DHCP option set caused silent DNS failures and pods stuck in pending — and how to find and fix it.
More: https://ku.bz/vHt_h5qKy | 98 |
| 7 | Kubee automates the setup of a K3s cluster on a single VPS and installs tightly integrated Helm charts (ArgoCD, Vault, Prometheus, etc.) with zero manual configuration.
More: https://ku.bz/1sWyY2M2w | 115 |
| 8 | @miamorecadenza CEO at Techaro shares a pragmatic approach to building Kubernetes homelabs, emphasizing the principle of "plan for today, not tomorrow".
The discussion focuses on the three fundamental building blocks: compute, network, and storage. Xe explains how to build incrementally and know when to stop adding features.
Watch the full episode: https://ku.bz/2kzj2MgfH | 113 |
| 9 |  🚀 New on LearnKube: Microservice authentication with Kubernetes Service Accounts.
Service Accounts are usually described as identities used to call the Kubernetes API.
But you can also use them to authenticate requests between services inside the cluster.
The article walks through:
- how an API service can pass its Service Account token to a data store
- how the data store can validate the token with the TokenReview API
- why accepting any valid token is not enough
- how projected Service Account tokens let you bind a token to a specific audience
Thanks to Gulcan for putting together the full walkthrough with diagrams, manifests, Go snippets, TokenReview examples, and projected Service Account tokens.
Read the full guide:
https://learnkube.com/microservices-authentication-kubernetes | 63 |
| 10 | SREs are drowning in logs. The real error is buried under thousands of noise messages — and AI tools are starting to fix that.
Mario Fahlandt sees AI's biggest value in reducing white noise: filtering log floods so engineers can focus on the actual issue instead of sifting through patterns manually. But he draws a clear line — automated AI debugging of clusters is still a step too far. The human component matters.
AI should handle the groundwork. Humans should make the calls.
Watch the full interview: https://ku.bz/36wSy63cC
This interview is a reaction to Isala Piyarisi's episode https://ku.bz/kJjXQlmTw | 147 |
| 11 |  This blog post tells how the Render team:
- tracked down Kubernetes memory waste caused by many daemonset namespace watches,
- fixed config issues,
- and freed over 7 TiB of memory across clusters by reducing unnecessary listwatch overhead.
More: https://ku.bz/2vS0QsvjY | 817 |
| 12 | Kubectl OpenAI plugin is a kubectl plugin to generate and apply Kubernetes manifests using OpenAI GPT.
More: https://ku.bz/fxBdsk7Kf | 149 |
| 13 | Pumba lets you kill, pause, and stress containers while injecting network delays, packet loss, and corruption.
You can deploy it as a DaemonSet for cluster-wide chaos engineering.
More: https://ku.bz/K7_RB9tSq | 136 |
| 14 | Billy Thompson, DevOps Platform Engineering - Office of the CTO @ Akamai, discusses the strategic decision between building custom Kubernetes tools versus adopting existing CNCF projects.
The discussion provides a practical framework for evaluating time investment, maintenance capacity, and the broader impact of tooling decisions in Kubernetes environments.
Watch the full interview: https://ku.bz/Jk2xSwXHp
This interview is a reaction to Alessandro Pomponio's episode https://ku.bz/5sK7BFZ-8 | 157 |
| 15 | This article shows why Grafana becomes slow on Kubernetes when multiple replicas share SQLite over EFS, and explains why a single replica on block storage or a real external database is the correct fix.
More: https://ku.bz/JGj7gl5wt | 126 |
| 16 |  This week on Learn Kubernetes Weekly 186:
🔥 1 Million Tokens Per Second: Qwen 3.5 27B on GKE with B200 GPUs
🤖 How I Built Kernel: An AI-Powered IT Helpdesk That Deflects 80% of Support Tickets
⚙️ Ansible AWX: Infrastructure Automation on Top of Kubernetes
🛡️ I Setup Kubermatic SecureGuard Before It Even Existed
🔐 SRE: Secrets Management in Kubernetes
Read it now: https://kube.today/issues/186
⭐️ This newsletter is brought to you by StormForge by CloudBolt. Stop setting Kubernetes requests. Let ML handle rightsizing https://ku.bz/2wYKp0Q2Y | 98 |
| 17 | CloudNativePG is the Kubernetes operator that covers the entire lifecycle of a highly available PostgreSQL database cluster with a primary/standby architecture, using native streaming replication.
More: https://ku.bz/n6gpgcYtf | 131 |
| 18 | Cyphernetes lets you query the Kubernetes API as if it were a graph database and discover relationships between resources.
More: https://ku.bz/5vrBXrCHN | 168 |
| 19 |  📣 New on LearnKube: "The mechanics of Kubernetes RBAC and how it connects users to permissions."
Kubernetes RBAC can feel confusing because the object names sound broader than the scope they actually grant.
A ClusterRole does not always mean cluster-wide access.
If you bind a ClusterRole with a RoleBinding, the permissions apply only in the namespace where the RoleBinding lives.
The article walks through:
- Why direct user-to-permission mappings do not scale
- how Roles and ClusterRoles group permissions into reusable sets
- how RoleBindings and ClusterRoleBindings connect identities to permissions
- How to test access with kubectl auth can-i
Read the full guide:
https://learnkube.com/rbac-kubernetes | 115 |
| 20 | Mike Stefaniak, Head of Product, Kubernetes and Registries at Amazon Web Services (AWS), discusses the challenges of operating across multiple Kubernetes clusters and environments without requiring custom scripting or multiple kubeconfig files.
Mike outlines AWS's strategy to host the MCP server centrally, providing AWS with context for all clusters across accounts and regions. This architectural shift transforms troubleshooting from a single-cluster operation to fleet-wide visibility, eliminating the need for users to configure access to individual clusters manually.
Watch the full interview: https://ku.bz/PzjrglcZJ | 153 |
