Design [top]: Gaurav Sen System

Load balancers act as traffic cops, distributing incoming requests across multiple application servers. This prevents any single server from becoming a bottleneck. You should understand routing algorithms like Round Robin, Least Connections, and Consistent Hashing (crucial for caching layers). Caching Strategies

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.

The playlist format allows learners to study at their own pace, often revisiting videos to reinforce complex topics.

He suggests the following interview rhythm (which he demonstrates often via mock interviews):

In the hyper-competitive world of software engineering, few skills are as prized—and as intimidating—as . It is the difference between building a script that works for 100 users and architecting a platform that serves billions. For years, aspirants preparing for FAANG (Facebook, Amazon, Apple, Netflix, Google) interviews and senior engineering roles have been drowning in scattered resources, whiteboard scribbles, and inconsistent advice. gaurav sen system design

Every non-failing node returns a non-error response (without guaranteeing it contains the most recent write).

Many engineers approach system design by memorizing buzzwords—sharding, Kafka, Redis, or Kubernetes. The core philosophy of Gaurav Sen’s teachings is the exact opposite:

Before touching microservices, Sen ensures his students understand TCP/UDP, Sockets, and Threading. His lesson on is arguably the most famous visualization on the internet for distributed sharding. He breaks down how DynamoDB and Cassandra distribute data without re-shuffling the entire cluster.

HTTP is inefficient for real-time chat because it requires constant polling. Instead, use WebSockets , which establish a bi-directional, persistent TCP connection between the client and server. Use a Chat Service to track active user sessions, a Message Queue (like Kafka or RabbitMQ) to handle spikes in traffic, and a NoSQL database (like Cassandra) to store message history efficiently. Designing a Notification System Load balancers act as traffic cops, distributing incoming

Handing authentication, rate limiting, and request routing. Microservices: Decoupled business logic units. Databases & Caches: Core storage layers. Phase 5: Deep Dive and Scaling

System design is the process of defining the architecture, components, and interfaces of a system to meet the requirements of a specific problem or application. It involves a set of techniques, tools, and best practices to create a scalable, reliable, and maintainable system. System design is a crucial step in software development, as it lays the foundation for the entire system and determines its performance, security, and usability.

Watch his free System Design primer series. Pay close attention to how he constructs diagrams and dynamically handles interviewer constraints.

: His material covers both fundamentals (like load balancing, consistent hashing, and message queues) and case studies for famous systems such as Netflix, Uber, WhatsApp, and Tinder. Caching Strategies If you are preparing for a

A recurring theme in his content is the transition from Monoliths to Microservices. He breaks down how to decouple services so that a failure in a "Comments" service doesn't crash the entire "Video Streaming" platform. 3. Load Balancing and Consistent Hashing

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: Splitting a table by columns (e.g., keeping user profile info in one table and login credentials in another).

He emphasizes that there is no "perfect" system—only a series of trade-offs between consistency, availability, and partition tolerance (the CAP theorem). Core Pillars of System Design (According to Sen)