Establish non-functional requirements: scalability, high availability, latency limits, and data consistency. 2. Propose a High-Level Design
Designing highly consistent, idempotent financial ledgers.
Sketch the architecture end-to-end: clients, load balancers, web servers, databases, and message queues. system design interview alex wu pdf new
Map out the key API endpoints and the primary database schemas.
+------------------------------------------+ | 1. Understand Scope & Clarify | | - Define Functional & Non-Functional | | - Set Constraints (e.g., DAU, Storage)| +--------------------+---------------------+ | v +------------------------------------------+ | 2. Propose High-Level Design | | - API Endpoints & Core Components | | - High-Level Data Flow Diagrams | +--------------------+---------------------+ | v +------------------------------------------+ | 3. Deep Dive into Core Components | | - Sharding, Caching, & Fault Tolerance| | - Data Consistency & Edge Cases | +--------------------+---------------------+ | v +------------------------------------------+ | 4. Wrap Up & Summarize | | - Identify Bottlenecks | | - Discuss Future Scalability | +------------------------------------------+ 1. Understand Scope and Clarify Requirements Understand Scope & Clarify | | - Define
Real-time stream processing for trillions of events.
Implementing scalable and distributed data storage. Volume 2: Advanced Case Studies Sketch the architecture end-to-end: clients
The books authored by Alex Xu—founder of ByteByteGo —are divided into distinct volumes, each tailored to different engineering tiers and architectural challenges: Volume 1: Foundations & Core Concepts
Evenly distributing data across sharded nodes.