Practical AI automation for DevOps and platform engineering. I write about what I actually run in production at a small game studio: n8n workflows, MCP servers, Kubernetes on DigitalOcean, observability with the Grafana stack, and AI agents that handle real first-line support. Working code, real numbers, and honest notes on what didn't work.
The ticket fits on one line: "deploy a new web service to AWS and add jobs to deploy it." Inside that line are a network, containers, a database, secrets, a CDN, two workflows and dozens of small step
We're one step away from shipping a new version of our game. The number of changes across services and infrastructure has multiplied, and everyone is racing the deadline. The alert channels are a soli
In Part 1, I walked through how chat requests in Slack land in n8n, get classified by category, and are routed into the right processing branch. Under the hood of the classifier sits an LLM with acces
How a small DevOps team offloaded chat triage, CI/CD diagnostics, and attachment parsing to an AI agent — and what's still rough about it. If you, like me, run infrastructure for a small team, you've
