KubeFM

OpenTelemetry and basic observability can expose readiness problems before users report them Dennis Marttinen from CRACI on catching issues earlier 📺: https://ku.bz/G-5863yLR

Good platforms create trust, but developers still benefit from understanding Kubernetes Devin Allen on platform engineering and application ownership 📺: https://ku.bz/8lKHj1C5d

🗣️ Vitalii Horbachov explains how their macOS VZ Kubelet enables hybrid runtime pods that run macOS VMs alongside Docker containers within the same Kubernetes pod Watch the full episode: https://ku.bz/q_JS76SvM

AI can generate work faster than maintainers can validate it Davanum Dims Srinivas from NVIDIA on burnout, CVEs, and advisory overload 📺: https://ku.bz/b6nVDVpZQ

"We are very close to a Quantum storm." Valentin I from SSH Communications Security on the Kubernetes-side relevance of post-quantum readiness 📺: https://ku.bz/PZ-0Y4cHy

🗣️ Jorrick Stempher explains how his team designed realistic load testing for their Kubernetes predictive scaling system Watch the full episode: https://ku.bz/clbDWqPYp

"Infrastructure speaks IPs. Kubernetes speaks pods. That's why finding the biggest talkers has been hard." Elamaran Shanmugam on pod-to-pod visibility 📺: https://ku.bz/DCxhgWQqS

"Kubernetes is helping me on two fronts: my own incompetence, because I'm not an SRE, and hardware failure, because my server is in my living room." Thibault Martin on rethinking Kubernetes for home labs 📺: https://ku.bz/Xk5S7VqXz

Infrastructure → blueprints → optimization. That's the AI on EKS journey in three steps Tsahi Duek on how AWS makes AI on Kubernetes accessible 📺: https://ku.bz/2r41YKBZb

The best AI reviewers are not just reading one file. They are reading the whole tree Shivay Lamba on what AI code review gets right today 📺: https://ku.bz/lzl3pF_Ft

“Configuration review needs testing, not just visual inspection.” Henrik Rexed on why YAML and Helm changes slip through 📺: https://ku.bz/KGQ_b20nQ

🗣️ Frédéric Gaudet explains the critical relationship between Kubernetes deployment strategies and Istio's warm-up feature effectiveness. Without proper rollout configurations, warm-up becomes completely ineffective Watch the full episode: https://ku.bz/grxcypt9j

Managed Kubernetes should remove heavy lifting, not remove understanding YongKang He on the limit of abstraction in production 📺: https://ku.bz/8Q7Vy60P7

"My biggest surprise was that kubelet pulls images serially by default. One big image blocks everything else." Jan Ludvik on a one-flag fix for faster node startup 📺: https://ku.bz/B7TzKXyxf

Abstraction stops helping when your team cannot explain what happened in production Bill Shelton on why guided analysis matters during incidents 📺: https://ku.bz/cDnQHYcvj

“A lot of it still feels hacked together.” Glen Messenger on the reality of AI-native infrastructure 📺: https://ku.bz/N5njxPHdY

100 pods on the same node. Node-level firewall rules don't separate them. Network policy does: east-west traffic control at the pod level. Service Mesh adds mTLS on top Rodrigo Bersa on pod security 📺: https://ku.bz/dB7PDNt0v

🗣️ Owumi Festus explains how he built a lightweight version of Kubernetes from scratch, stripping away complexity while preserving core concepts for first-principles understanding Watch: https://ku.bz/pf5kK9lQF

“Good AI tooling should speed teams up without hiding the system from the people responsible for it.” Christopher Tineo on AI for platform teams 📺: https://ku.bz/5f9sFC6CG

“Developers should know Kubernetes.” David Parry on why local runtimes like Docker Desktop help teams test, learn the platform, and keep ownership close to the code 📺: https://ku.bz/c5J05syX3

🗣️ Ben Poland discusses unexpected Kubernetes scaling challenges when migrating CI from Jenkins to Buildkite, hitting internal throttling and etcd limits with thousands of smaller pods Watch: https://ku.bz/klBmzMY5-

“You should be building a cluster with purpose.” Joel Vasallo on multi-tenancy, guardrails, and cluster sprawl 📺: https://ku.bz/zTPZwj-__

🗣️ Danyl Novhorodov explores how BEAM runtimes and Actor models provide built-in fault tolerance and scalability without requiring external orchestration like Kubernetes Watch: https://ku.bz/BYhFw8RwW