Just landed: Learn Kubernetes weekly 150! My top picks: 🖥️ Production Grade K8S From Bare Metal 🔐 Kubernetes Authentication & Authorization 🐹 Deploying and Exposing Go Apps with Kubernetes Ingress Read it here: https://learnkube.com/issues/150

"90% of teams don't need Kubernetes" - Danyl on KubeFM Key insight: Most "microservices" are distributed monoliths that K8s won't fix. Start with modular monoliths, extract services only when you hit real constraints Watch https://ku.bz/BYhFw8RwW

Ever had to create Helm charts from YAML files that… don't exist anymore? 🧨 I prepared a demo where Claude extracts running K8s configs, recreates the lost YAMLs, converts them to Helm charts Next week, I will show you live: https://ku.bz/claude-k8s

Just landed: Learn Kubernetes weekly 149! My top picks: ✂️ How We Cut Our Azure Cloud Costs by 3× 📈 Resizing Pods Without the Drama 👨‍🎓 Mastering Kubernetes Security 🐍 HAMi – sharing and isolation of GPUs Read it here: https://learnkube.com/issues/149

🧨 Adevinta's VPA went rogue, evicting critical pods in endless loops across 30 Kubernetes clusters serving 300k requests/second The fix took seconds. Finding it took all night https://ku.bz/rf1pbWXdN

I gave Claude root access to my server and let it migrate my K8s cluster 50+ chats: Claude provisioned K3s, secured the network, and created migration runbooks. We ran 12 dry runs until perfect Listen to my story: https://ku.bz/claude-k8s

Just landed: Learn Kubernetes weekly 148! My top picks: 🤔 Why Kube-State-Metrics Matters 🐍 Launch Kubernetes jobs 🔒 Securing Kubernetes Resources Without a VPN 🥷 KubernetesEnumerationTool Read it here: https://learnkube.com/issues/148

🔥 When node startup takes 9 minutes, reactive scaling fails In the latest KubeFM episode, a student team solved this by using Facebook's Prophet to predict scaling patterns Watch: https://ku.bz/clbDWqPYp

🚀📕 The GPU + Kubernetes book is finally here. After six months of rabbit holes, I finally understood why this problem was so hard. When I started, I thought GPUs were just fancy parallel processors. Mount the device, set some resource limits, and done.

Just landed: Learn Kubernetes weekly 147! My top picks: 🏎️ MIG on AKS 💯 Orchestrating thousands of speedtests 0️⃣ Zeropod 🔎 kubectl-sql Read it here: https://learnkube.com/issues/147

Just listened to Fred on KubeFM explain how they fixed Java pod cold starts for 4,000 pods Instead of throwing more CPU at it, they used Istio's warm-up to gradually ramp traffic to new pods Check out the full episode here: https://ku.bz/grxcypt9j

Just landed: Learn Kubernetes weekly 146! My top picks: 🍃 Orchestrating a Greener Cloud 💯 Creating Multi-Tenant GKE Clusters ✨ Grogg – A Modern GUI ☸️ Helm Diff Plugin Read it here: https://learnkube.com/issues/146

💻 What if your laptop's screen lock could automatically shut down your entire Kubernetes infrastructure to save you thousands in cloud costs? In the latest KubeFM episode, Brian built exactly that → https://ku.bz/sFd8TL1cS

📕 6 months ago, I couldn't explain how Kubernetes exposes GPUs. Now I'm writing a book about it Over the past year, friends have shared their horror stories about running GPUs on K8s. Since I had little experience, I mostly acknowledged and moved on

Just landed: Learn Kubernetes weekly 145! My top picks: 🛑 the Right Kubernetes Abstraction with GitOps 🧚🏽 Scaling Faire’s CI horizontally with Buildkite, Kubernetes 🚨 AKS Node Pool maxCount Alert Read it here: https://learnkube.com/issues/145

Data centers will 3x their electricity use by 2028. But one insight blew my mind: California's grid is 5-7x dirtier at night than midday Same Kubernetes job, vastly different emissions Building a Carbon-Aware Scheduler: https://ku.bz/zk2xM1lfW

Your Kubernetes pods might cost 2x more than you think—not because of instance prices but because of estimation errors Version 3 of our Instance Calculator now shows you how costs change when reality doesn't match your resource requests Try it → https://learnkube.com/kubernetes-instance-calculator

Become an expert in Kubernetes! LearnKube runs several 4-day Advanced Kubernetes course in September! If you want to get your hands dirty with Kubernetes, join us for a workshop packed with hands-on labs! Sign up here: https://learnkube.com/training

Just landed: Learn Kubernetes weekly 144! My top picks: 🤔 Why Kube-State-Metrics Matters 💰 Cost-optimized ML on production with KEDA ⚙️ Service Mesh Explained 👨‍🔧 kube-advisor: Real-Time Kubernetes Best Practices Scanner Read it here: https://learnkube.com/issues/144

😱 Monopolizing GPUs with "sleep infinity" pods — that's not something I've heard before! KubeFM S7E1: Alessandro shares how IBM Research tamed their GPU clusters https://ku.bz/5sK7BFZ-8

Confused about how runAsNonRoot, capabilities, seccomp, and AppArmor relate to each other in Kubernetes? Our new article shows exactly how each SecurityContext field maps to Linux syscalls and kernel Finally understand what you're actually configuring: https://learnkube.com/security-contexts

Just landed: Learn Kubernetes weekly 143! My top picks: 👨‍💻 Scaling batch jobs ♻️ Autonomous reconcilers in GKE 💡 Submariner Lighthouse ⎈ Helm dashboard Read it here: https://learnkube.com/issues/143

New Kube Careers report: Data Engineers are the most remote-friendly role while Platform Engineers face the highest in-office requirements The biggest surprise? Python demand hit 62% - the highest we've ever recorded! Read it now: https://kube.careers/state-of-kubernetes-jobs-2025-q2

Just landed: Learn Kubernetes weekly 142! My top picks: 🫸 ECR to OCIR 🐤 Canary deployments on multi-cluster with ISTIO 💉 Automating Penetration Testing 💣 R0binak/xzk8s Read it here: https://learnkube.com/issues/142

Just landed: Learn Kubernetes weekly 141! My top picks: 💡 Graphs in Your Head: Assessing Kubernetes Workloads 🥷 Pwning Kubernetes 🎟️ Migrating an Event-Driven Architecture to Kubernetes Read it here: https://learnkube.com/issues/141

Just landed: Learn Kubernetes weekly 140! My top picks: 💣 OPA Gatekeeper Bypass 🏎️ Optimize Gemma 3 Inference: vLLM on GKE 🤳 KubeDiagrams Read it here: https://learnkube.com/issues/140

Just landed: Learn Kubernetes weekly 139! My top picks: 🙅 Why Kubernetes and Docker Are Overkill 🛳️ Managing Applications across Fleets of Kubernetes Clusters 👀 davidb/kubectl-view-allocations Read it here: https://learnkube.com/issues/139

Just landed: Learn Kubernetes weekly 138! My top picks: 💵 Cost Management with Kubecost on EKS 👆 Enhancing Helm Values Management 🤔 Rethinking the Kubernetes pod-and-node relationship ⚒️ How to Build a Multi-Tenancy IDP Read it here: https://learnkube.com/issues/138

Just landed: Learn Kubernetes weekly 137! My top picks: 💡 Abandoned Kubernetes Configuration Ideas ✂️ Split Cost Allocation 🔗 CNI 📄 EKS with Huge Page Read it here: https://learnk8s.io/issues/137

Platform teams reject Kubernetes as "too complex," then rebuild it piece by piece Mac explains why this happens: overconfidence + lack of mentorship = expensive mistakes Also: why "one big box" is becoming a legitimate choice New KubeFM episode: https://ku.bz/9nFPmG85f

What happens when you set Kubernetes requests too high? You waste money Too low? Your apps get throttled and killed I explored this challenge in a live session with Andrew from Densify last week Here's what I learned 🧵

Just landed: Learn Kubernetes weekly 136! My top picks: 🤔 How the HPA Decides Which Pod to Terminate 🔐 Enforcing Security in Confidential Containers 😡 The Frustrating Life Cycle of a Kyverno-Generated Resource Read it here: https://learnk8s.io/issues/136

"You can deploy a complete app with Lambda in the time it takes to decide how to deploy Kubernetes" Marc analyzed 500+ microservices and found 80% were mostly idle - paying for Kubernetes complexity they didn't need When Lambda beats containers: https://ku.bz/5gMTkzLhV

This Thursday, I'm going live with Andrew to tackle one of Kubernetes' most persistent challenges: resource management We'll explore how algorithms can make better resource decisions than manual configuration 🧵👇

Just landed: Learn Kubernetes weekly 135! My top picks: 💡 Scaling Smarter: Predictive Node Management 🤔 How does Karpenter scale out nodes? ☁️ From LB Ingress to ZTM Read it here: https://learnk8s.io/issues/135

Upgrading Kubernetes 4x/year across hundreds of clusters? That's when you realize more engineers won't solve the problem New KubeFM episode with Molly on multi-tenancy - CPU limits actually matter - Cluster-as-a-service sounds great until upgrade #4 https://ku.bz/_MWX5m6G_

Just landed: Learn Kubernetes weekly 134! My top picks: 💨 How I Convinced My k8s Team to Go to Serverless 🙅‍♀️ Not Every Problem Needs Kubernetes 💧 A Single Push Notification Brought Down Our Cluster Read it here: https://learnk8s.io/issues/134

"We built a perfect GitOps pipeline with Kubernetes, Helm, and Argo CD… and it got crushed by FTP deployment." Latest KubeFM: David's brutally honest story about why his technically superior cloud-native platform failed after a company merger Watch: https://ku.bz/_MWX5m6G_

🤔 Why do Kubernetes requests and limits feel impossible to get right? I presented on this at DevOpsDays Singapore recently and got good feedback - clearly this pain point resonates with many teams

Just landed: Learn Kubernetes weekly 133! My top picks: 🐝 Calico eBPF Source IP Preservation 🤯 Managing Over 6,000 Self-Hosted Databases Without a DBA 🐒 Chaos testing a Postgres cluster managed by cloud-nativepg Read it here: https://learnk8s.io/issues/133

Ever been handed Kubernetes performance testing with zero guidance? New KubeFM episode with Stephan covers the systematic approach: break individual pods, disable autoscaling, document everything, change one thing at a time Watch: https://ku.bz/yY-FnmGfH

🙈 I rarely call out posts circulating on social media, but this one crossed a line This "Kubernetes Architecture Simplified" diagram has been circulating for weeks, and it's fundamentally wrong! Let me explain…

Just landed: Learn Kubernetes weekly 132! My top picks: 🤯 Istio-Proxy Chaos in the Middle of a Snowy Morning 📉 How did I reduce a $2,000/day non-prod AWS network 📦 Linux container from Scratch Read it here: https://learnk8s.io/issues/132

In the latest KubeFM podcast, Zain shared how his team handled 30,000 pods across clusters capped at 950 nodes each Takeaways: 😩 Node pool incosistencies 🆙 Contributing upstream ♻️ GitOps all the way Watch: https://ku.bz/5PLksqVlk

Just landed: Learn Kubernetes weekly 131! My top picks: 🤯 The Hidden Risk of Running WordPress on Kubernetes ✋ 1MB Limit of Etcd 🔍 Distroless Images Read it here: https://learnk8s.io/issues/131

When your Kubernetes authorization hits 20,000 requests per second, policy isn't the problem — scale is Takeaways: 📈 18x performance with batch queries 🥴 auth fragmentations 💦 law of leaky abstractions Watch: https://ku.bz/S-2vQ_j-4

Just landed: Learn Kubernetes weekly 130! My top picks: 🛡️ API Priority and Fairness 😮‍💨 ML Training on Kubernetes 🧌 Kwasm review Read it here: https://learnk8s.io/issues/130

New KubeFM episode: Tanat on reducing Kubernetes upgrades from months to weeks! Takeaways: 🔵🟢 Blue-green upgrades become unsustainable at scale 📉 Clusters <500 nodes = less risk ♻️ Regular upgrades > LTS versions Watch: https://ku.bz/VVHFfXGl_

New Kube Careers report: Platform Engineering is rising while SRE roles decline The biggest surprise? Machine Learning on Kubernetes grew 180%! Read it now: https://kube.careers/state-of-kubernetes-jobs-2025-q1

Just landed: Learn Kubernetes weekly 129! My top picks: 🛡️ Building Resilient Applications 😮‍💨 Tackling CPU throttling 🧌 Hybrid EKS: on-premise + cloud Read it here: https://learnk8s.io/issues/129