Gaurav Sen System Design -

: Sending traffic to the least busy server.

Caching reduces latency by storing frequently accessed data in high-speed memory (like Redis or Memcached).

Real-time geospatial tracking and matching dynamic supply (drivers) with demand (riders). gaurav sen system design

When a single database instance cannot handle the volume of data or writes, the data must be split.

To truly grasp system design, one must look at specific applications. Sen’s architectural teardowns of major platforms offer incredible insights: Case Study A: Designing a URL Shortener (e.g., TinyURL) : Sending traffic to the least busy server

The Ultimate Blueprint to Mastering System Design: Insights from Gaurav Sen

Protecting APIs from malicious attacks, scraping, and overwhelming traffic. When a single database instance cannot handle the

Draw a bird's-eye view of the system. Identify the core components: client, load balancer, API gateway, application microservices, and databases. Trace the end-to-end flow of a single request from the user to the database and back. Step 4: Low-Level Design & Deep Dives (LLD)

No resource is perfect. While resources are excellent for interviews, experienced architects note a few limitations: