system-design

To design a scalable distributed system, use a structured approach covering load balancing, caching, database scaling, and message queues to handle high traffic efficiently. This framework provides the necessary building blocks for capacity planning.

Capacity planning for distributed systems uses back-of-the-envelope estimation to calculate QPS, storage, bandwidth, and server count, ensuring your architecture meets expected traffic demands. It provides a structured framework for resource estimation.

Database scaling requires choosing between SQL and NoSQL by evaluating vertical versus horizontal scaling strategies for your specific workload. This structured approach helps determine the optimal data model for your system design.

Yes, you can prepare for system design interviews using this structured approach, which includes common design examples like a URL shortener, rate limiter, and notification system to practice architecture reviews.

Building blocks for large-scale distributed systems include DNS, CDN, load balancers, caches, and message queues. These components work together to route traffic, reduce latency, and distribute workloads across multiple servers.

Reliability and operations in a distributed system are ensured by implementing health checks, monitoring, logging, and structured deployment strategies. These operations maintain uptime and provide visibility into system performance.