Gaurav Sen System Design -

Among the myriad of educators who have tried to demystify this subject, stands out as a foundational figure. A former software engineer at Directi and Morgan Stanley, Gaurav Sen transitioned into a premier tech educator, building a massive following on YouTube and launching InterviewReady. His structured, first-principles approach has helped thousands of engineers master scalability, fault tolerance, and distributed systems.

Zoom into the bottlenecks. This is where you address the core challenges of the specific system. If you are designing WhatsApp, deep dive into WebSockets and connection managers. If you are designing Netflix, deep dive into Content Delivery Networks (CDNs) and video transcoding pipelines. Famous Case Studies Deconstructed

Adding more machines to your pool of resources. This requires a load balancer and introduces network complexity but offers virtually infinite scalability and high availability. 2. Load Balancing Strategies

Before diving into complex architectures, Gaurav emphasizes mastering the building blocks of distributed systems: Understanding the difference between Vertical Scaling (bigger machine) and Horizontal Scaling (more machines). Load Balancing:

Choosing a storage layer requires balancing data consistency against system availability. gaurav sen system design

Never start drawing architecture immediately. Spend the first few minutes defining the scope of the problem. Break them down into:

The system's operational metrics. Is high availability more critical than strict consistency? What is the acceptable latency for a request? Phase 2: Estimation and Capacity Planning

: He teaches a "non-abstract" approach, starting with a basic solution and iteratively improving it based on capacity estimations. Key Topics and Resources

Caching is the cheapest way to scale a read-heavy system. Sen breaks down how to strategically position caches (Client-side, CDN, Load Balancer, or Distributed Caches like Redis) and how to manage data eviction via policies like . He also stresses the importance of choosing the right mutation strategies: Among the myriad of educators who have tried

[1] Clarify Requirements -> [2] Estimate Scale (RPS, Storage) -> [3] Define APIs & Data Model │ [6] Optimize (Caching, Sharding) <- [5] Identify Bottlenecks <- [4] High-Level Design (MVP)

Adding more RAM and CPU cores to a single machine. It is simple and introduces no network latency, but it has a hard hardware ceiling and creates a single point of failure.

Gaurav Sen has become a central figure in modern engineering culture by demystifying the "black box" of system design. His approach isn’t just about memorizing components; it’s about the mental framework of building for massive scale.

for both read and write operations. Storage Requirements over a 5-year horizon. Network Bandwidth needs for incoming and outgoing data. Step 3: High-Level Design (HLD) (10 Minutes) Zoom into the bottlenecks

Across his lectures, a consistent 4-step blueprint emerges for solving any design problem:

: Machine coding for game engines, payment tracking apps, and event buses. Learning Philosophy His approach emphasizes understanding trade-offs

His curriculum breaks down complex architecture into manageable "pieces" or building blocks, including: Fundamentals