Kubeswitch is a command-line tool designed to ease switching between different kubectl contexts ➜ 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 ➜ 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 Watch the full episode: https://ku.bz/Xvyp1_Qcv

This week on the Learn Kubernetes Weekly: 🔍 Baselining Audit Logs 🤖 AI Agent for SRE Ops 🛡️ OSS Security Console 🧩 Implementing User Namespaces 🔀 Vlan Migration Without Downtime ⭐️ daily.dev Read it now: https://kube.today/issues/195

KEDA GPU Scaler is a KEDA external scaler that reads NVIDIA GPU metrics through NVML and autoscalers vLLM, Triton, training jobs, and custom inference workloads without requiring Prometheus ➤ https://ku.bz/Hg61Tjm7h

🗣️ Dave Masselink, Software Engineer and Founder at Compute Gardener, explains the complexities of accurately measuring power usage across different hardware components in Kubernetes clusters Watch the full episode: https://ku.bz/zk2xM1lfW

Define the criteria before choosing the tool Fabián Sellés Rosa from Adevinta on balancing flexibility, maturity, and operational effort https://ku.bz/R_06hwnCn 🌟 LearnKube 🎙 🎙Bart

Kubeswitch is a command-line tool to ease switching between different kubectl contexts Kubeswitch is a drop-in replacement for kubectx ➜ https://ku.bz/Jj30sYB-L

🗣️ Andrew Charlton addresses the persistent skepticism about running stateful workloads on Kubernetes, arguing that it provides valuable abstractions like PVCs that make database management viable Watch: https://ku.bz/fhZ_pNXM3

We’ve just confirmed 3 private Kubernetes training engagements for September alone Want to level up your team’s Kubernetes and platform engineering skills? Teams: https://learnkube.com/corporate-training Individuals: https://learnkube.com/training

🗣️ Thibault Jamet, DevOps and Technical Product Owner @ Adevinta, explains why resource management was a nightmare before implementing Vertical Pod Autoscaler across their 30-cluster platform Watch the full episode: https://ku.bz/rf1pbWXdN

Luxury Yacht is a cross-platform desktop app for managing Kubernetes clusters, available for Linux, macOS, and Windows, built with Go and Wails ➤ https://ku.bz/fxHb6Vcsf

This week on the Learn Kubernetes Weekly: 🤖 So We Built an AI SRE 💸 The GPU Bill Was $40,000 🔓 PSS Restricted Did Not Block AF_ALG 📦 One Registry for 6 AKS Clusters ⚙️ GitOps with tofu-controller ⭐️ Isovalent Read it now: https://kube.today/issues/194

🗣️ Federico Iezzi from Google Cloud explains how his team reached 1M output tokens/s using Qwen 3.5 27B, vLLM, GKE Autopilot, and B200 GPUs https://ku.bz/1xD9Md0mb 🌟 LearnKube 🎙 🎙Bart

"Figuring out the right amount of CPU and memory — that's toil. We should be able to automate that." Ray Chen on keeping humans in the loop for Kubernetes resource optimization 📺: https://ku.bz/w50VfwtYd

Kube Binpacking Exporter exposes Prometheus metrics that show how efficiently your cluster packs requested CPU and memory across nodes, groups, and DaemonSet overhead so you can measure fragmentation over time ➤ https://ku.bz/VpnFlkz-0

This case study shows how a 3-person team built a Claude-based AI SRE that triages SigNoz alerts, checks Kubernetes, GitLab, logs, traces, and Slack, then ignores noise, escalates, or runs safe fixes ➜ https://ku.bz/X_PPQ-4lR

🗣️ Calin Florescu discusses the advantages of using a unified Helm chart for managing microservices deployments Watch the full episode: https://kube.fmhttps://ku.bz/mcPtH5395

"It is going to be useful. Maybe not as useful as we think." Andrea Giardini on in-place pod resizing 📺: https://ku.bz/RS1WM5R74

Kogaro continuously validates Kubernetes config with 60+ checks across reference, resource, security, image, and network domains, catching silent failures before they impact production ➤ https://ku.bz/_DdDJ5wzj

This week on the Learn Kubernetes Weekly: 🔍 Which of our Containers are Chainguard? 💸 $1,800 for One Notebook 🔄 Syncing Clusters with GitOps 📉 Spark Cost Optimization 🚪 Migrating to Kgateway ⭐️ LearnKube Read it now: https://kube.today/issues/193

🗣️ Niels Claeys explains Conveyor, a data product workbench that abstracts Kubernetes complexity for data pipelines Watch the full episode: https://ku.bz/hGRfkzDJW

This article shows how to use Kubernetes ConfigMaps as a lightweight real-time state store by watching ConfigMap changes and faning events out with Python asyncio ➜ https://ku.bz/0g25QzwDQ

This tutorial explains how to catch Helm drift in Kubernetes before manual kubectl changes break GitOps source-of-truth workflows ➜ https://ku.bz/1s7TMz7hs

This case study explains how Plum migrated from ingress-nginx to kgateway and Gateway API in 12 weeks without production downtime It covers inventory, staging validation, parallel running, mTLS decisions, and custom observability ➜ https://ku.bz/NxWpdwmF4

Hortator lets AI agents spawn sub-agents at runtime, with each agent running in its own pod with budget caps, network policies, PII redaction, and capability inheritance so children can never escalate beyond their parent's permissions ➤ https://ku.bz/kh47Xb28t

This case study shows how Spark on Kubernetes batch workloads cut cloud costs by colocating executors with drivers, reducing inter-zone shuffle costs, and moving executors to Spot VMs safely ➜ https://ku.bz/Z79bL1pRv

How Lacrosse applies in Kubernetes Gari Singh on teamwork and strategy in platform engineering 📺: https://ku.bz/F_t6Y2dxz