Cloud-Native Development
A Missing Binary Turned a Kubernetes Liveness Probe Into a Restart Loop
A Node.js Redis worker shows why Kubernetes liveness and readiness probes need different responsibilities — and why readiness alone cannot drain a background queue consumer ...
Karmada Federated Control Plane for Kubernetes Achieves CNCF Graduation
Karmada, the control plane for managing multiple Kubernetes clusters, has graduated from the Cloud Native Computing Foundation’s technology program, offering the CNCF’s stamp-of-approval for production use just in time for the AI ...
groundcover Acquires Wand Platform to Optimize Kubernetes Clusters
groundcover today revealed it has acquired a platform for optimizing consumption of infrastructure resources running on Kubernetes clusters that was developed by Wand. Terms of the deal were not disclosed. Company CEO ...
What Dependency Mocking Software Needs to Handle in a Cloud Native Architecture
Much of the dependency mocking software in use today was not designed with cloud native architectures in mind. The tools that dominate the category today were built for a world where services ...
Why Kubernetes RBAC Misconfigurations Are the Easiest Privilege Escalation You’ll Ever Find
Ask any penetration tester which part of a Kubernetes assessment reliably produces a finding, and RBAC comes up almost every time. Not because Kubernetes’ permission model is poorly designed — it’s genuinely ...
Your Service Is Healthy, but Its Data Isn’t: Rethinking Cloud-Native Health Checks
Some of the most difficult production issues do not start with a failed service. The application is running, the database is reachable, requests are completed successfully and the monitoring dashboard is green ...
Why Your Kubernetes Readiness Probes Are Lying During Rolling Updates
Kubernetes readiness probes can pass while applications are still unable to serve real traffic. Protocol-aware checks help close the gap between “running” and truly “ready.” ...
Why CPU-Based Autoscaling Fails for Rails — and What We Used Instead
Kubernetes autoscaling works best when teams match the metric to the workload: queue latency for synchronous web traffic, queue depth for background jobs ...
Write Access Is the Easy Part: The Verification Gap in Agentic Kubernetes Remediation
Giving an AI agent the power to change a cluster is now straightforward. Confirming the change landed, did not produce unintended duplicate effects and achieved the outcome the operator actually wanted is ...
K8sGPT and the Guardrails for AI-Assisted Kubernetes Troubleshooting
A practical way for platform teams to use AI for faster Kubernetes triage without giving agents unsafe control of the cluster. The first time an AI tool gets real cluster context, the ...
