Building large-scale distributed systems like Google, Facebook, Amazon, and Twitter requires an in-depth understanding of computer science principles. This allows systems to handle millions of users concurrently despite hardware failures.

We discuss the fundamental concepts of system design in this course like requirement selection, API design, Database Design, Network protocols, Fault-tolerance, design trade-offs, solution tradeoffs, and low-level design.

Gaurav Sen created this course. Check out his channel: @gkcs

You can learn about distributed systems and system design using the following resources:
Designing Data-Intensive Applications by Martin Kleppmann: https://amzn.to/3SyNAOy
System Design Simplified: https://interviewready.io

Let us know your thoughts and suggestions in the comments!

⭐️ Contents ⭐️
⌨️ (0:00:00) What is System Design
⌨️ (0:02:27) Design Patterns
⌨️ (0:04:07) Live Streaming System Design
⌨️ (0:07:42) Fault Tolerance
⌨️ (0:08:32) Extensibility
⌨️ (0:09:49) Testing
⌨️ (0:10:32) Summarizing the requirements
⌨️ (0:11:27) Core requirement – Streaming video
⌨️ (0:14:52) Diagramming the approaches
⌨️ (0:17:12) API Design
⌨️ (0:20:02) Database Design
⌨️ (0:22:32) Network Protocols
⌨️ (0:29:07) Choosing a Datastore
⌨️ (0:32:57) Uploading Raw Video Footage
⌨️ (0:34:37) Map Reduce for Video Transformation
⌨️ (0:39:24) WebRTC vs. MPEG DASH vs. HLS
⌨️ (0:41:55) Content Delivery Networks
⌨️ (0:42:27) High-Level Summary
⌨️ (0:44:48) Introduction to Low-Level Design
⌨️ (0:47:00) Video Player Design
⌨️ (0:49:17) Engineering requirements
⌨️ (0:50:32) Use case UML diagram
⌨️ (1:02:32) Class UML Diagram
⌨️ (1:06:27) Sequence UML Diagram
⌨️ (1:11:49) Coding the Server
⌨️ (1:24:23) Resources for System Design

🎉 Thanks to our Champion and Sponsor supporters:
👾 Nattira Maneerat
👾 Heather Wcislo
👾 Serhiy Kalinets
👾 Erdeniz Unvan
👾 Justin Hual
👾 Agustín Kussrow
👾 Otis Morgan

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