System Design - End to End: A Complete Guide - From Fundamentals to AI baixar o livro de graça

Stop memorizing designs. Start understanding them.

Most system-design prep is a pile of answers to memorize-until the
interviewer asks "why?" and the memorized answer falls apart.
System Design End to End takes the opposite path: learn the handful of ideas behind
every large-scale system, and you can derive any design on the spot.

And it's built for 2026 interviews. Alongside the classic material, a full
AI Systems track gets you fluent in the rounds companies now ask-ML and
LLM system design, embeddings and vector search, Retrieval-Augmented Generation
(RAG), agents, evaluation, and guardrails.

• A repeatable 7-step framework you can run on any prompt

• Fundamentals: scalability, CAP, consistency, replication, transactions

• Building blocks: caches, queues, databases, load balancers, CDNs, search, and more

• Patterns & trade-offs: microservices, CQRS, resiliency, delivery, security

• A full AI track: ML system anatomy, embeddings & vector DBs, LLM serving,
  feature stores, RAG, agents, evaluation & guardrails, and prompt-vs-RAG-vs-fine-tune

• 19 fully worked case studies-classic and AI-each tied back to the concepts

• Reference: cheat sheets, decision tables, a glossary, and 50 practice problems

For software and ML engineers preparing for system-design interviews-from
first-timers to those leveling up to senior and staff. Learn the method once; reason
out the rest.

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