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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 ...
Komodor Extends AI SRE Reach for Kubernetes to AI Agents
Komodor this week added the ability to deploy agentic artificial intelligence (AI) workflows using its platform for site reliability engineers (SREs) that manage Kubernetes clusters. Company CTO Itiel Shwartz said the Komodor ...
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 ...
Production-Safe Security Testing: A Missing Layer in Cloud-Native Application Security
Cloud-native applications keep changing after deployment, making production-safe security testing essential for validating real vulnerabilities, misconfigurations and access-control gaps without disrupting live systems ...
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 ...
Kubernetes Did Not Miss the AI Wave. It Absorbed It
Enterprise AI is settling onto the cloud native stack, and the strongest evidence is not a vendor roadmap. It is what the ecosystem has already standardized ...
