Practical articles on AI, DevOps, Cloud, Linux, and infrastructure engineering.
Prompt Versioning and Regression Testing. Practical guidance for reliable, scalable platform operations.
Concrete systemd unit patterns that reduced flakiness: restart policies, resource limits, and structured logs.
Design serverless apps for reliability, cold start, and cost. Event-driven patterns and observability.
Learn how to build production-ready AI pipelines from data ingestion to model serving. Complete architecture guide with MLOps best practices.
LLM Gateway Design for Multi-Provider Inference. Practical guidance for reliable, scalable platform operations.
How a small team moved from single-region risk to a simple active/passive multi-region setup without doubling complexity.
Learn how to secure AI applications against prompt injection, data leakage, and adversarial attacks. Best practices for AI security in production.
Kernel and Package Patch Management. Practical guidance for reliable, scalable platform operations.
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.
Compare popular embedding models including OpenAI, Sentence-BERT, and open-source alternatives. Learn which model fits your RAG, search, or similarity tasks.
Systemd Service Reliability Patterns. Practical guidance for reliable, scalable platform operations.
