A real-world model fallback guide for customer-facing AI systems, covering how one team preserved response quality and support SLAs during a partial provider degradation.
A practical artifact promotion guide for CI/CD teams that were tired of hearing 'it passed in staging' after production behaved differently because the release was rebuilt.
A hands-on RDS restore drill guide for small cloud teams that thought backups were covered until a timed restore test exposed missing steps, DNS confusion, and stale credentials.
A practical systemd drop-in guide built from a real operations problem: vendor unit files kept changing, but the team still needed consistent restart, environment, and logging behavior.
A real-world Terraform module version pinning guide for platform teams that want safer upgrades, clearer ownership, and fewer broken pipelines after shared module releases.
A practical embedding model upgrade guide for RAG systems, built from a real support-search migration that initially reduced answer quality instead of improving it.
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 search-friendly guide to RAG retrieval quality evaluation, based on the moment one production assistant started citing stale documents and the team had to prove what 'good retrieval' meant.