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Technical deep-dives on GCP, Kubernetes security, CI/CD pipelines, GitOps workflows, and cloud-native infrastructure. Every article is based on real production engagements — no fluff, just actionable engineering.
A production Kubernetes outage is not the time to start writing runbooks. Platform teams need pre-built detection signals, triage commands, forensic collection procedures, and communication templates ready before the first alert fires.
Kubernetes Network Policies are the built-in firewall for pod-to-pod communication. This guide covers default-deny rules, namespace isolation, policy testing, and a practical checklist for enforcing zero-trust networking in production clusters.
Terraform state files map every cloud resource you manage. A corrupted state file can destroy production infrastructure in one apply. This guide covers GCS remote backends with state locking, automated drift detection, and team workflows for managing multi-environment state.
A practical guide to securing the Kubernetes container image supply chain: scan images for vulnerabilities, sign with Cosign, enforce admission policies with Kyverno, and verify provenance from build to runtime.
Kubernetes Secrets need encryption, strict RBAC, rotation, and external secret stores before they are safe for production clusters.
Admission and network policies are not enough. Falco adds runtime detection for suspicious shells, file access, and process activity in Kubernetes.
GitOps needs cluster-side trust checks. Admission control, signed images, and provenance can stop risky manifests before production.
Kubernetes can isolate LLM infrastructure, but prompt injection, retrieval leakage, and tool misuse require application-layer AI security controls.
Production debugging should not require permanent cluster-admin. Safer workflows use scoped RBAC, temporary elevation, and audit trails.
CNCF data shows Kubernetes becoming the operating layer for AI infrastructure. See the impact on MLOps, GitOps, security, and platform teams.