Both books are often viewed as complementary. Start with Chiang for a broad, example-based orientation, then move to Xu for a deeper methodological framework.
If you want, I can:
Design the schema and choose the right database type (Relational vs. NoSQL). High-Level Design:
Treat the digital whiteboard (Excalidraw, Miro) as your canvas. Own the space, draw clean diagrams, and keep notes of your constraints visible on the screen. hacking the system design interview stanley chiang pdf
Hacking the System Design Interview: Real Big Tech ... - Amazon.com
What are you trying to design? (e.g., Uber, Netflix, WhatsApp)
Conversely, experienced engineers or those seeking deep technical knowledge have expressed significant frustration with the book. This is the most common criticism across multiple reviews: Both books are often viewed as complementary
Here is a quick reference guide on how to apply the Chiang framework to standard interview questions: System Design Prompt Core Challenge Key Component to Highlight Massive read traffic, unique ID generation
Hacking the System Design Interview by Stanley Chiang is a comprehensive guide designed to help software engineers navigate the complex system design interview (SDI) process at major tech companies. Written by a Google software engineer with over 15 years of experience, the book distills complex distributed system concepts into actionable interview strategies.
System design interviews have evolved. FAANG companies now ask about and Kafka Streams more than they ask about basic SQL vs. NoSQL. They also expect you to mention observability (logging, metrics, tracing) and idempotency . NoSQL)
If you have scrolled through any software engineering forum—be it Reddit’s r/cscareerquestions, Blind, or Level.fyi—you have likely seen whispers about a mysterious, gold-standard PDF:
Identify the top 2 or 3 core features. If you are designing Twitter, focus on posting a tweet and viewing a timeline. Ignore peripheral features like direct messaging unless prompted.
Some readers have offered constructive criticism. A few reviewers found the first third of the book, which covers common components and considerations in cloud systems, to be a "lightning tour" that might not teach experienced engineers anything new. Others noted that the coverage of some topics was relatively brief, with one reviewer commenting that "this book has like 1-2 pages on each subject that barely scratches the surface".
You cannot achieve perfect Consistency, Availability, and Partition Tolerance simultaneously. In a distributed system, network partitions will happen. You must choose between: