Blog
Practical articles on AI, DevOps, Cloud, Linux, and infrastructure engineering.
What We Learned Running Weekly Game Days on Our CI/CD Pipeline
Practical game day scenarios for CI/CD: broken rollbacks, permission issues, and slow feedback loops—and how we fixed them.
Troubleshooting: LLM Gateway Design for Multi-Provider Inference
LLM Gateway Design for Multi-Provider Inference. Practical guidance for reliable, scalable platform operations.
Real-World RAG Incidents: Lessons from a Production Rollout
A field report from rolling out retrieval-augmented generation in production, including cache bugs, bad embeddings, and how we fixed them.
How We Stopped Terraform Drift from Surprising On-Call
A real story of removing console-only changes, adding drift detection, and getting Terraform back in charge.
Troubleshooting: Kernel and Package Patch Management
Kernel and Package Patch Management. Practical guidance for reliable, scalable platform operations.
Systemd Tricks We Use to Keep Services Boring
Concrete systemd unit patterns that reduced flakiness: restart policies, resource limits, and structured logs.
A Pragmatic Multi-Region Strategy for Small Teams
How a small team moved from single-region risk to a simple active/passive multi-region setup without doubling complexity.
What We Learned Running Weekly Game Days on Our CI/CD Pipeline
Practical game day scenarios for CI/CD: broken rollbacks, permission issues, and slow feedback loops—and how we fixed them.
Troubleshooting: Systemd Service Reliability Patterns
Systemd Service Reliability Patterns. Practical guidance for reliable, scalable platform operations.
Real-World RAG Incidents: Lessons from a Production Rollout
A field report from rolling out retrieval-augmented generation in production, including cache bugs, bad embeddings, and how we fixed them.
AI Agents in DevOps: From Copilots to Autonomous Automation in 2025
How AI agents are moving from read-only copilots to autonomous automation with guardrails. Best practices for approval gates and rollback.
Troubleshooting: Linux Performance Baseline Methodology
Linux Performance Baseline Methodology. Practical guidance for reliable, scalable platform operations.