Kube Architect

This article opens up Volcano's controllers to show how gang scheduling avoids the deadlock where half a distributed job holds resources, following the PodGroup and Job state machines with real cluster logs. More: https://ku.bz/20Fv1tPVM

This article explains Kubernetes operators as feedback controllers, connecting reconciliation, informers, queues, spec/status, and self-healing behavior to database operations. More: https://ku.bz/93cbkRmhc

This article opens up Xatastor, the storage system Xata built for millions of Postgres databases, explaining why they chose ZFS zvols over NVMe-oF instead of Ceph or Longhorn, and how their Kubernetes operator drives it. More: https://ku.bz/LcBp9Pl1h

Yoke is an IaC tool inspired by Helm that leverages WebAssembly and Go to dynamically deploy Kubernetes packages with executable runtime capabilities. It supports revision tracking, rollback, and inspection. More: https://ku.bz/-BsGSRxdD

Agent Substrate is a Kubernetes runtime for stateful agents that packs many mostly idle agents onto a few worker pods while keeping each agent's memory, filesystem state and routing intact. More: https://ku.bz/YjGjp1VDr

KSolver is a Kubernetes cost optimizer that uses CP-SAT constraint programming to find cheaper node fleets, explain blockers, simulate changes, and rank safe savings actions. More: https://ku.bz/Xlk2fDVR4

This article reads the HPA as a proportional controller from control theory, showing why the deadband, high gain and slow response trade-offs are unavoidable, and what dead time and pod quantization do to a PID version of it. More: https://ku.bz/FdGgBK2q8

wellcake is a Kubernetes operator for Valkey that runs standalone, replication, sentinel and cluster topologies from one CRD, with failover, rolling restarts, S3 backups and secret rotation. More: https://ku.bz/CvRxFcJkG

This week on Learn Kubernetes Weekly 196: 🛠️ How I Rebuilt YouTube’s Load Balancing Algorithm in Go 💾 When ETCD Crashes, Check Your Disks First: A Pod CrashLoopBack Debugging Story 🧩 We Blamed CoreDNS for Weeks. The Real Culprit Was a Default We Never Questioned 🚚 Zero-Downtime EKS Migration: Production-Grade Kubernetes at Scale ⚡ Deterministic Routing: The Hidden Key to Low Latency Read it now: https://kube.today/issues/196 ⭐️ 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

This tutorial shows how to make Kubernetes HPA scale to zero with a Redis queue and external metrics, plus the production limits to watch for. More: https://ku.bz/gccDrpDsg

Rolling your worker nodes during a Kubernetes upgrade sounds straightforward… until your PDBs get ignored. Jason Deal explains why PDB-aware tooling matters: if your infrastructure provider doesn't respect Pod Disruption Budgets, those constraints won't protect your workloads during a node rollout. Karpenter and EKS Auto Mode are built to respect PDBs natively, evicting nodes only when doing so won't violate availability constraints. Watch the full interview: https://ku.bz/1_-DTgLsg

New from LearnKube: Setting the right requests and limits in Kubernetes. CPU and memory requests and limits appear together in a Pod manifest, but Kubernetes and Linux use them at different stages. You will learn: • How the scheduler compares requests with node allocatable capacity • Why actual usage can exceed a request • How CPU quotas cause throttling even when average CPU looks low • Why an OOM kill is different from a node-pressure eviction • How requests and limits determine Kubernetes QoS classes The article is the first chapter of The Technical Guide to Kubernetes Rightsizing, co-authored by Gulcan and Daniele Polencic. Read the chapter: https://learnkube.com/setting-cpu-memory-limits-requests Download the free technical guide: https://learnkube.com/kubernetes-rightsizing This book was made possible by CloudBolt Software.

Karpenter can consolidate nodes and reduce cloud costs. But without Pod Disruption Budgets, those savings can expose workloads to avoidable downtime. Ahmad Asmar from Zencity explains how they use Kyverno to generate PDBs automatically instead of relying on every developer to remember the required configuration. You will learn: - Why Karpenter consolidation and Spot instances make PDB coverage critical - How Kyverno detects existing PDBs through workload labels - Why percentage-based budgets work better for scaling workloads - How ClusterRole aggregation extends Kyverno without modifying its Helm chart Watch: https://ku.bz/xrlPJg54D 🌟 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. https://learnkube.com/kubernetes-rightsizing With @Birthmarkb

This code tool converts JSON files into Kubernetes resource manifests, allowing you to use JSON/jsonnet workflows while still generating valid YAML for Kubernetes. More: https://ku.bz/Vbm_rFw4y

David Pech, Staff Cloud Ops Engineer, shares hard-learned lessons about introducing Kubernetes and cloud-native practices to organizations with legacy systems. Drawing from a real-world experience where his technically superior Kubernetes solution was ultimately rejected in favor of FTP deployment, David identifies three critical organizational factors that determine success: 1. Team readiness is fundamental - the development team must first recognize there's a problem worth solving. 2. Leadership must actively champion the change, not just passively approve it. 3. Understanding whether customers can actually operate the new solution is a go/no-go decision that many platform engineers overlook. Watch the full episode: https://ku.bz/_MWX5m6G_

Kubeswitch is a command-line tool designed to ease switching between different kubectl contexts. More: https://ku.bz/SxF0tXYRf

K8up is a Kubernetes Operator that helps you: - Backup all PVCs marked as ReadWriteMany or with a specific label. - Perform individual, on-demand backups. - Schedule backups to be executed regularly. And more. More: https://ku.bz/1ynMNZrK9

Andrew, Staff Cloud Infrastructure Engineer at SafetyCulture, explains the specific incidents and pain points that made their Helm-based deployment system unsustainable as they scaled to hundreds of microservices. Andrew breaks down three critical issues: YAML's poor developer experience - requiring Kubernetes-specific knowledge that application developers shouldn't need, configuration inheritance problems where changes in one file unexpectedly affected others, and most importantly, dangerous operational patterns during incidents. Watch the full episode: https://ku.bz/Xvyp1_Qcv

This week on Learn Kubernetes Weekly 195: 🔍 Practical Detection Engineering for Kubernetes: Baselining Audit Logs 🤖 Building an AI Agent That Runs Your SRE Operations — What I Learned, What Works, and How You Can Do It Too 🛡️ Building an OSS Kubernetes Security Console 🧩 User Namespaces in Kubernetes: The Implementation 🔀 Vlan Migration: Moving a Live Kubernetes Cluster Without Downtime Read it now: https://kube.today/issues/195 ⭐️ This issue is brought to you by daily.dev — where developers discover what's next https://ku.bz/PrzB1cB0K

Dave Masselink, Software Engineer and Founder at Compute Gardener, explains the complexities of accurately measuring power usage across different hardware components in Kubernetes clusters. He reveals a key insight: you don't actually need energy tracking to achieve carbon emission reductions - simply shifting workloads to times when the grid is cleaner provides real environmental benefits, even without measurement. Watch the full episode: https://ku.bz/zk2xM1lfW