devops

Using Python for DevOps tasks like automation, scripting, and infrastructure work.

Airflow Tutorial: Your First Data Pipeline, the Right Way

A cron job runs your script at 2 a.m. and says nothing when it fails; you find out at 9, staring at a dashboard full of holes. This Airflow tutorial replaces that fragile setup with a real data pipeline: one that retries network hiccups, refuses to load bad data, and can rerun any day without making a mess, built end to end on real data. “A pipeline is not code that runs once. It is code that has to run ... Read More

AI Design Patterns: Routers, Fallbacks, Caches, and Agents

At 2am, with a provider down and an agent looping, nobody invents a good fix from scratch. AI design patterns are the reusable answers to the failures every production AI system eventually hits: dead providers, ballooning bills, models that quietly rot while dashboards stay green. This catalog puts them side by side, each with the problem it solves, the structure, a runnable sketch, and when not to use it. “If the implementation is hard to explain, it’s a bad idea.” ... Read More

From Idea to AI MVP: The Right Way to Build

Most tutorials hand you a model and a prompt and call it a product. A real planning meeting asks harder questions: can we ship a first cut by next month, will it actually help anyone, and what will it cost per user? An AI MVP is the smallest version of your idea that answers all three, and this playbook builds one you could finish in a weekend. “If you are not embarrassed by the first version of your product, you ... Read More