Never jump into drawing boxes. Spend the first 5–10 minutes asking clarifying questions. Define the features (functional requirements) and the scale (non-functional requirements like QPS, latency, and data retention).
: Essential for scaling cache servers and databases.
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Calculate the volume of data. What is the Daily Active User (DAU) count? What are the QPS (Queries Per Second) for reads vs. writes? How much storage is needed over 5 years? system design interview alex wu pdf github verified
Sketch the end-to-end data flow. Connect the Client to the Load Balancer, API Gateway, Web Servers, Database, and Cache. Step 3: Deep Dive into the Architecture (15-20 minutes)
Using tools like RabbitMQ or Kafka to decouple services and handle sudden traffic spikes asynchronously. Step 4: Wrap Up and Identify Bottlenecks (3–5 Minutes)
hosted officially on GitHub due to copyright, Alex Xu maintains an official GitHub presence through ByteByteGo. This official repository provides supplementary reference materials, diagrams, and blog links for both Volume 1 and Volume 2 of the series. Official Resources & Repositories Never jump into drawing boxes
Handling persistent connections using WebSockets, managing presence servers, and message storage.
Introduce advanced distributed systems concepts like Sharding (horizontal database partitioning), Consistent Hashing, Message Queues (Kafka/RabbitMQ) for asynchronous processing, and Content Delivery Networks (CDNs) for static assets. Step 4: Wrap Up / Review (3-5 minutes) Conclude the interview like a true tech lead.
Never start drawing diagrams immediately. Ask clarifying questions to establish constraints: : Essential for scaling cache servers and databases
Handling high-volume data streams and persistence. 4. Key Concepts in Volume 2: Advanced Design
Sharding strategies, replication (Leader-Follower, Multi-Leader), and handling data consistency (CAP Theorem).