Practical articles on AI, DevOps, Cloud, Linux, and infrastructure engineering.
Walk through a working GitHub Actions workflow — install, test, build, deploy — for a tiny Node app. Every line explained.
Walk through your first Dockerfile, container run, and image push in 30 minutes. No theory dumps — just the commands and what each one is doing.
A working retrieval-augmented generation app you can run today. Markdown ingestion, embeddings, semantic search, and an LLM answer — start to finish in one afternoon.
Build a real disk-cleanup script step by step. Learn variables, conditionals, loops, error handling, and the safety preamble that prevents foot-guns.
A working mental model for AWS VPCs — what each piece does, how they connect, and why "VPC" is the wrong mental model if you came from physical networks.
Create your first S3 bucket, upload and download files, and set up the right access controls — without accidentally making everything public.
Write, package, and deploy a Lambda function using only the AWS CLI. Trigger it via a public URL. Understand what serverless actually means.
Install Ansible, write your first playbook, and configure a remote server (nginx + a deploy user) without touching it manually. The basics that scale up.
We use feature flags on roughly every customer-facing change. The provider tradeoff, the patterns that hold up, and the failure modes that show up only after a couple of years.
How we run OpenTelemetry across ~40 services. The instrumentation that earns its place, the patterns we abandoned, and what tracing actually catches that metrics don't.
A 2 AM incident, the autovacuum settings that caused it, and the parameter changes that prevented the next one. The discipline that took our biggest Postgres host from periodic stalls to steady.
We've shipped all three patterns to production. They're not interchangeable. Here's the framework we now use to decide which approach fits a given task.
