Practical articles on AI, DevOps, Cloud, Linux, and infrastructure engineering.
A real-world multi-cluster traffic routing guide for SaaS teams that have outgrown a single Kubernetes cluster and need safer rollout control without a service-mesh science project.
A practical Terraform state isolation guide built from a real environment-mixing incident, with patterns for safer backends, clearer ownership, and lower blast radius.
A real-world guide to prompt versioning and regression testing for production AI features, focused on preventing the subtle changes that hurt quality long before anyone notices.
A practical systemd reliability guide for Linux services, built around repeated restart-loop incidents and the unit-file patterns that finally made those services boring.
A Kubernetes blue-green deployment guide built around a real rollout failure, showing the guardrails that matter when traffic shifting, health checks, and rollback timing all interact.
A practical disaster recovery runbook guide for small cloud teams that need realistic failover steps, clear ownership, and repeatable rehearsals instead of shelfware documents.
A single quality score multiplies two failure modes together and hands you a number you can't factor back apart. Split it, and a regression tells you which half of the pipeline broke.
This infrastructure documentation as code guide shows how a platform team moved runbooks, ownership maps, and architecture decisions into versioned workflows that people actually trusted.
A production-tested Linux patch management workflow for teams that need security fixes without turning every maintenance window into a gamble.
A hands-on guide to AWS cost allocation tags for shared environments, built from a real platform-team problem: everyone used the cluster, but nobody trusted the bill.
Idempotent Ansible means you can run a playbook twice and the second run does nothing. Here is how we get there, and where we stopped fighting it.
A practical risk-management framework for release timing, Friday deployment policies, progressive delivery, and how elite teams protect reliability and people.
