KubeFM
@K8sFM
Podcasts, fireside chats, roundtables and educational programs about Kubernetes. Mastodon: @[email protected]
🗣️ @williamdenniss, Group Product Manager, GKE Autopilot at @googlecloud, shares three emerging Kubernetes technologies: in-place pod upgrades, pod-level resource requests, and LLM/inference gateways Watch the full interview: ku.bz/VqnTC6-j1
Kubernetes resources are self-describing at rest, offering advantages like consistency, simplified client implementation, and bulk operations. @bgrant0607 explains Watch: ku.bz/_ZLj6ZV-9
This week on the Learn Kubernetes Weekly: 🔥 Kubernetes Security Contexts 🚀 OpenShift Stateful Workloads on AKS 🧠 Linux Swap for Kubernetes 💻 Remote Dev with MCP Servers 🔍 LLMs on Google Cloud Run ⭐️ @StormForgeIO, LearnKube Read it now: kube.today/issues/158
🗣️ Santosh Vallurupalli discusses the shift in Kubernetes adoption from stateless to stateful workloads, creating new data protection challenges. AWS responds with the AWS Backup Service for EKS workloads Watch: ku.bz/pklYlRr80
🗣️ @porpaul23 shares the complete journey of replacing EKS Managed Node Groups and Cluster Autoscaler with AWS Karpenter ku.bz/T6hDSWYhb 🌟 @StormForgeIO 🎙 @birthmarkbart
1,317 Kubernetes practitioners shared how they manage resources: → 56% still do it manually despite wanting automation → 45% regularly hit CPU throttling/OOM kills → 57% estimate 20%+ waste in compute costs Report: kube.today/kubernetes-res…
🗣️ @timsaprogrammer CEO and Co-founder at @kusaridev challenges the common belief that minimal container images automatically mean better security Watch: ku.bz/-2Sqn9Jb9
🗣️ @_enfinity rebuilt Kubernetes from scratch in Go After teaching Kubernetes to thousands of engineers, this validates what I've seen: people don't struggle with complexity; they struggle with abstractions before fundamentals ku.bz/pf5kK9lQF
🗣️ @karthikr shares his vision for Kubernetes' evolution: significant tooling simplification, cloud neutrality, and hybrid deployments Watch: ku.bz/4NN2xYwFh
🗣️ Alexandre Souza addresses Horizontal Pod Autoscaler (HPA) scaling in Kubernetes: exploring challenges and solutions for stable, efficient scaling behaviour Watch: ku.bz/z2Vj9PBYh
🗣️ @rbarcia, Director at @aws, discusses the relationship between team size and Kubernetes tooling complexity Watch: ku.bz/hWXCKCB6N
🗣️ @garitweets, Product Manager at @googlecloud, discusses the evolution of Kubernetes cluster scaling. He explains how Karpenter achieved 40% cost savings through workload consolidation Watch: ku.bz/RHb2QCKxs
This week on the Learn Kubernetes Weekly: ⚙️ gRPC with ALB and Traefik 🧭 Prevent Failures with Topology Spread 📜 Demystifying Kubernetes YAML 🔗 Shared Socket with eBPF 🌐 Kubernetes Networking Guide ⭐️ @testkubeio Read it now: kube.today/issues/157
🗣️ @_enfinity walks through his project of building a lightweight version of Kubernetes from scratch in Go ku.bz/pf5kK9lQF 🌟 @StormForgeIO 🎙 @birthmarkbart
🗣️ Nicholas Walker, Director of Product at @StormForgeIO, shares insights on Kubernetes autoscaling with KEDA, using queue metrics for better scaling Watch: ku.bz/B2NBhFRY4
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