devops

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

Choosing an AI Tech Stack: 3 Real Case Studies

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Teams pick the shiny tool first, bend the problem to fit it, and six months later a large language model is doing a job a hundred lines of scikit-learn would have nailed. Choosing an AI tech stack is where projects quietly go wrong before any model code exists. This post gives you a four-axis decision framework, then walks three real case studies to very different, defensible stacks. “The best stack is the boring one that clears your acceptance metric and ... Read More

How to Add AI to an Existing App Without Breaking It

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When you add AI to existing app code, the danger is almost never the model itself. It is everything the model touches on the way in and out: the endpoint you wired it into, the request that now hangs for ten seconds, the bill that arrives at the end of the month. “Add the new thing at the edge, where you can rip it out again, not through the middle where it fuses to everything.” Advice worth more than most ... Read More

ML System Design: Recommenders, Feature Stores, Skew

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Most interview rounds ask you to write a function; the ML system design round asks you to design a whole machine learning product out loud, and it is the stage that most often decides a senior offer. Given a vague goal like “recommend videos” or “catch fraud”, can you turn it into metrics, data, features, a model, a serving path, and monitoring? This post gives you a fixed skeleton, two fully worked designs, and a graded mock transcript. “Anyone can ... Read More