Gaurav Sen System Design < 2026 >
Decoupling the system using a distributed message queue like Kafka or RabbitMQ. The application server pushes notification tasks into the queue, and a pool of worker services consumes them at a manageable pace. This ensures rate-limiting and prevents downstream telecom APIs from getting choked. 2. Designing a URL Shortener (e.g., Bit.ly)
If you are preparing for a system design interview, start with the Gaurav Sen playlist, and you'll be well-prepared for any challenge a interviewer throws at you.
Immediately draws a MySQL database and Express server. The Gaurav Sen Approach: gaurav sen system design
Gaurav Sen is a prominent software engineer and educator known for simplifying complex High-Level Design (HLD) Low-Level Design (LLD)
He has raised the floor. Now, junior engineers are expected to know about , CDNs , and eventual consistency . Sen didn't just teach answers; he taught the language of scale . As a result, companies have had to make their system design interviews harder, moving from "Design Twitter" to "Design Google Docs" or "Design a real-time gaming leaderboard." Decoupling the system using a distributed message queue
: A persistent, bi-directional TCP connection ideal for heavy, real-time interactions (e.g., WhatsApp).
Gaurav has excellent deep dives into the architectures of Netflix, WhatsApp, and Tinder . The Gaurav Sen Approach: Gaurav Sen is a
Speed is everything. Gaurav emphasizes the use of caches (like Redis) to store frequently accessed data, reducing the load on the primary database and slashing latency for the end user. Why His Content Resonates
No resource is perfect. While resources are excellent for interviews, experienced architects note a few limitations:
It is particularly effective for Mid-level to Senior engineers preparing for FAANG (MAANG) interviews.
System design is one of the most critical yet intimidating topics in software engineering. Whether you are preparing for a FAANG interview or building a scalable application from scratch, understanding how components interact at scale is essential.