: Recent additions include courses on AI agents, LLMs, and RAG (Retrieval-Augmented Generation).
Nginx or HAProxy to distribute incoming traffic.
Gaurav Sen has become a prominent figure in the software engineering community, largely due to his ability to demystify complex architectural concepts through his "System Design" content . Originally gaining traction through a comprehensive YouTube playlist
: CAP theorem, eventual consistency, database replication, and horizontal vs. vertical scaling. High-Level Design Examples
If you enroll in his System Design course or watch his playlist, you will encounter a specific progression of topics. Here are the essential modules that define his teaching. gaurav sen system design
Recognizing that there is no "perfect" system. Every architectural choice is a compromise between consistency, availability, latency, and cost. Core System Design Building Blocks
Understanding Least Recently Used (LRU) and Least Frequently Used (LFU).
Every architectural decision involves a compromise. Sen teaches engineers to view system design through the lens of the (Consistency, Availability, Partition Tolerance) and performance trade-offs:
Gaurav Sen recommends the following system design techniques: : Recent additions include courses on AI agents,
This is the core of the course. He walks through designing famous systems.
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Pick a real-world system you use daily. Try to draft its high-level architecture on a whiteboard using Sen's framework, explicitly calling out potential bottlenecks and how to fix them.
This approach mirrors how senior engineers actually work. It prevents the engineer from getting bogged down in the minutiae of database indexing before they have decided if the system is read-heavy or write-heavy. By teaching engineers to draw boxes and arrows first, Sen provides a scaffold upon which complexity can be safely hung, making the unmanageable manageable. Here are the essential modules that define his teaching
Sen proved that they could—if you had the right framework.
: Understanding horizontal vs. vertical scaling and how to scale applications from 1 to 1 million users.
Watch his videos on Load Balancers, Caching, and Proxies.
Before this structured approach, many candidates would freeze, unsure where to begin. The RESHA framework provides a roadmap. It ensures that the engineer clarifies the scope before estimating load, and estimates load before choosing storage technologies. This structured thinking is applicable far beyond interviews; it is a template for architectural design documents (RFCs) in the real world. It forces a logical sequence: understanding the 'what' before designing the 'how.'