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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.
Compare GKE Autopilot and Standard for production: control, cost model, node management, and when each mode is the better fit for your team.
Scan Terraform before apply: catch exposed buckets, open security groups, and risky IAM in the pull request with policy-as-code gates, then enforce the same rules at the cloud layer.
A practical guide to securing the Kubernetes ingress path: choosing a controller, enforcing TLS and HTTPS redirects, applying network policies in front of services, and adding rate limiting before APIs are exposed to the internet.
A practical OpenTelemetry adoption guide for platform teams: collector architecture on Kubernetes, mapping metrics, logs, and traces to tooling, metadata correlation, and wiring telemetry into SLO-driven alerting.
A practical GKE network design guide for engineering leaders: private cluster control-plane access, VPC-native routing and secondary ranges, Cloud NAT for controlled egress, and layered ingress with network policies for production workloads.
Sharing a Kubernetes cluster across teams is cheap, but unsafe without deliberate isolation. A practical guide to namespace-per-tenant design, RBAC boundaries, resource quotas, network policy, and the Pod Security Standards that make soft multi-tenancy defensible on GKE.
Native Kubernetes rolling updates scale pods but give you no control over blast radius or automatic rollback. A practical Argo Rollouts guide to canary and blue-green strategies, traffic shaping, and metric-driven analysis for safe progressive delivery.
Most cloud migrations fail because every workload gets forced through the same path. The 6Rs — rehost, replatform, repurchase, refactor, retire, and retain — give you a per-workload vocabulary for choosing the cheapest strategy that still meets your goals.
Kubernetes upgrades are a leading cause of self-inflicted incidents: deprecated APIs break workloads, node evictions drop in-flight requests, and version skew causes silent failures. This guide covers zero-downtime node pool strategies, disruption budgets, and rollback planning.
Over-provisioning burns cloud budget. Under-provisioning causes production incidents. Kubernetes has multiple built-in and add-on autoscaling mechanisms, and picking the right combination for your workload is the difference between a stable, cost-efficient cluster and a constant firefight. This guide covers HPA, VPA, KEDA, and the cluster autoscaler with practical examples.