Practical articles on AI, DevOps, Cloud, Linux, and infrastructure engineering.
Linux Performance Baseline Methodology. 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.
Cloud Disaster Recovery Runbook Design. Practical guidance for reliable, scalable platform operations.
Learn how to monitor AI models in production. Track performance, detect drift, and ensure model reliability with comprehensive observability strategies.
A real story of removing console-only changes, adding drift detection, and getting Terraform back in charge.
AWS Cost Control with Tagging and Budgets. Practical guidance for reliable, scalable platform operations.
Complete guide to deploying AI models in production. Learn about model serving, containerization, scaling, and monitoring strategies.
GitHub Actions Pipeline Reliability. Practical guidance for reliable, scalable platform operations.
