Platform Engineering Needs an Internal Developer Platform ROI Case, Not Another Portal
Internal developer platform ROI is a finance problem before it is a build problem. DORA shows most teams already have a platform, so prove the return.
Your Kubernetes Bill Is an Architecture Problem, Not a FinOps Problem
Kubernetes cost optimization is not a dashboard problem. Your bill is set by requests, node sizing, and cluster sprawl long before FinOps sees it.
The Container Runtime Wars Are Over. containerd and CRI-O Both Won.
The containerd vs CRI-O debate settled years ago. Both are CNCF Graduated projects, and Docker left the cluster path back in Kubernetes 1.24.
Kubernetes for AI Is a Different Job Than Kubernetes for Apps
Kubernetes for AI breaks the patterns that work for web apps. GPUs, model load times, and a CPU scheduler change the architecture.
Kubernetes Storage Carries the Data and Gets the Least Coverage
A Kubernetes storage comparison of Longhorn, Rook-Ceph, OpenEBS, and TopoLVM shows four different jobs and almost no coverage.
Karmada Just Graduated. Multi-Cluster Kubernetes Is Now a Solved Problem, Sort Of.
Karmada became a graduated CNCF project. The lesson is that running one Kubernetes cluster is easy. Running a fleet of them is not.
The Most-Used Storage on Kubernetes Is the One You Get for Free
etcd rides along with every cluster, so storage leadership in the CNCF survey is a bigger deal than the top of the chart suggests.
Agentic Resource Discovery Wants to Give Agents Their Own DNS
Agentic Resource Discovery lets agents search registries for tools on their own instead of being told where everything lives.
Is a Kubernetes Built for Containers Ready for AI?
Kubernetes GPU scheduling is not the same as container scheduling. Predictive autoscaling is where the platform starts to break.
Your Coding Agent’s Biggest Bill Is the Data You Feed It
Most coding agent token spend is not the pull request. It is everything the agent read to get there, and the format matters.