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Estimate read/write throughput, storage requirements over 5 years, and bandwidth needs. Step 2: Propose High-Level Design (10–15 Minutes)

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For topics that interest you or appear in your target company's interviews, explore the advanced resources. The GitHub repository's real-world case studies and ByteByteGo's expanded content can fill knowledge gaps as you identify them.

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Martin Kleppmann's "Designing Data-Intensive Applications" is often described as the "Bible of distributed systems." However, the two books serve fundamentally different purposes. DDIA dives deep into theoretical concepts like consensus algorithms, distributed transactions, and storage engines. It's excellent for building long-term, foundational knowledge but can be overwhelming for interview preparation.

Understand when to use WebSockets, Long Polling, or Server-Sent Events (SSE) for live communication. Step 2: Propose High-Level Design (10–15 Minutes) Alex

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In the last decade, system design interviews have become the definitive filter for senior engineering roles at tech giants like Google, Meta, Amazon, and Microsoft. Unlike algorithmic whiteboarding, system design tests your ability to build scalable, reliable, and maintainable real-world systems.

Handling single points of failure, rate limiting, and circuit breakers. Step 4: Wrap Up and Optimization (3-5 Minutes)

Sketch the end-to-end architecture, including clients, API gateways, load balancers, application servers, and databases.