Practical articles on AI, DevOps, Cloud, Linux, and infrastructure engineering.
Evolve CI/CD toward autonomous pipelines that detect issues and roll back safely.
Multi-agent systems are mostly hype. The patterns we've seen actually deliver value, plus the ones we'd avoid until the tooling is more mature.
Concrete systemd unit patterns that reduced flakiness: restart policies, resource limits, and structured logs.
How a small team moved from single-region risk to a simple active/passive multi-region setup without doubling complexity.
We have ~40 prompts in production. The patterns that improved quality, the ones that turned out to be folklore, and how we test prompts now.
Practical game day scenarios for CI/CD: broken rollbacks, permission issues, and slow feedback loops—and how we fixed them.
A field report from rolling out retrieval-augmented generation in production, including cache bugs, bad embeddings, and how we fixed them.
How we deploy LLM-powered features. The deployment patterns are mostly normal; the validation is where the differences are.
A real story of removing console-only changes, adding drift detection, and getting Terraform back in charge.
We tried four quantization techniques on Llama-3 and Mistral models. The quality vs cost trade-offs we found, plus what works for production inference.
