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Models to Systems

Practical guides to machine learning, generative AI, and agentic systems — from fundamentals to production. Explore research insights, system design, hands-on coding, and interview preparation with Deepak Mishra.

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The System Design Interview Series: A Roadmap From Foundations to Principal-Level Judgment

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Most system design material teaches you one architecture at a time. This series teaches the sequence in which the decisions appear, why each one depends on the one before it, and how to tell when a choice has stopped being correct.

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The Problem With Learning System Design in Random Order

Suppose you have read a dozen system design posts. You know how to shard a database, add a cache, and put a queue between two services. Then an interviewer asks you to design a payment system, and you start by picking a message broker. Asked why, you say it provides durability. Asked what durability means for money that might be charged twice, you have no answer.

The problem is not missing facts. The facts were presented without the questions that make them necessary. A cache is a response to a read-heavy access pattern and a tolerance for stale data. A queue is a response to a producer that should not wait for a consumer. Sharding is a response to a dataset or write volume that one machine cannot hold or serve. Each technique answers a specific question, and the question comes first.

This series is organized around those questions. Each Part introduces a decision, shows the alternatives, and…

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Pragya
Pragya

Written by Pragya

How to make agent automated and tuned

Models to Systems
Models to Systems

Published in Models to Systems

Practical guides to machine learning, generative AI, and agentic systems — from fundamentals to production. Explore research insights, system design, hands-on coding, and interview preparation with Deepak Mishra.