Kubernetes misconfigurations remain the top security risk. AI copilots promise automated hardening, drift detection, and policy enforcement to make clusters safer ...

Kubernetes has expanded agility but also the attack surface. Alan argues that observability and security can no longer live in silos — metrics, logs, and traces already hold critical security signals, while ...

Alan unpacks Red Hat’s agent-based GitOps architecture for OpenShift and what it means for scaling GitOps across fleets of Kubernetes clusters. From central control to decentralized agents, discover how balance drives the ...

The pipelines are green. The dashboards are clear. Commits are flowing without a hitch. For most DevOps teams, that’s the definition of success: smooth builds, tested deployments, automation firing on all cylinders ...

Cloud-native security can’t rely on old perimeter defenses. With workloads spinning up in seconds, runtime visibility is now the missing layer leaders must prioritize. Learn why observability is security, how tools like ...

Cloud-native job market 2025: Software Engineers dominate at 47%, followed by DevOps, Platform Engineers, and SREs. See role trends and insights ...

eBPF is quietly reshaping cloud native computing, powering service meshes, observability, networking, and security directly in the Linux kernel. By reducing sidecar overhead, enabling zero-instrumentation telemetry, and enhancing runtime protection, eBPF is ...

Kubernetes tamed cloud-native workloads, but AI-native apps push its limits. Can it evolve for GPU-first, data-intensive AI — or is it time for new control planes? ...

Kubernetes has become the backbone of modern cloud-native applications, offering unique flexibility and scalability. However, with its complexity, there are significant challenges in maintaining visibility of the health and performance of Kubernetes ...

Observability has plateaued. The next step is actionable observability—using AI, automation, and SLOs to turn telemetry into reliable outcomes ...