system-design

Topics in the source

• System Design
• Quick Start
• When to Use
• Best Practices
• Requirements
• Architecture
• Data Model
• Scaling

Designing scalable, reliable systems. Designing new services or features Scaling existing systems Architecture reviews and interviews Choosing between technologies Clarify functional and non-functional needs Estimate users, QPS, data size, storage Define latency and availability targets State assumptions explicitly Start simple: services, DB, cache Add components only when justified Draw data flow end to end Identify single points of failure Choose storage by access pattern Plan for reads vs writes Design for consistency needs Consider partitioning and replication Scale vertically first, then horizontally Add caching for hot reads Use queues to decouple writes Plan for failure domains 1. Clarify requirements and constraints. 2. Estimate scale (QPS, storage, retention). 3. Sketch a simple architecture. 4. Design the data model and storage. 5. Add caching, queues, and replication. 6. Identify bottlenecks and single points of failure. 7. Discuss trade-offs and alternatives. 8. Define monitoring and failure handling. 1. Architecture meets the QPS and latency targets 2. Storage estimates are covered 3. No single point of failure 4. Data consistency needs are met 5. Scaling path is clear

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