
System Design Masterclass
Published 7/2025
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz
Learn to design scalable, distributed, and high-performance systems with real-world examples and interview prep.
What you’ll learn
How to design and scale APIs with API Gateways and Rate Limiting
How to handle high traffic with Load Balancers, Caching, CDNs, and Message Queues
The CAP Theorem, ACID, NoSQL vs SQL, Sharding, and Database Scaling
Design strategies for reliability, availability, and fault tolerance
The role of WebSockets, Service Discovery, Idempotency, and more
Real-world insights into Concurrency vs Parallelism, Stream vs Batch Processing
Requirements
No Programming Experience Required
Description
Overview
Section 1: Introduction
Lecture 1 Introduction
Lecture 2 Course Materials & Solutions
Section 2: Foundations of System Design
Lecture 3 APIs
Lecture 4 API Gateway
Lecture 5 Scalability
Lecture 6 Availability
Lecture 7 CAP Theorem
Lecture 8 SPOF (Single Point of Failure)
Lecture 9 Idempotency
Lecture 10 Checksums
Section 3: Load Handling, Caching & Content Delivery
Lecture 11 Load Balancers
Lecture 12 Load Balancing Algorithms
Lecture 13 Caching
Lecture 14 Caching Strategies
Lecture 15 Cache Eviction Strategies
Lecture 16 Distributed Caching
Lecture 17 CDNs
Section 4: Data at Scale, Storage, Indexing, and Databases
Lecture 18 Database Types
Lecture 19 SQL vs NoSQL
Lecture 20 ACID Transactions
Lecture 21 Database Indexes
Lecture 22 Database Sharding
Lecture 23 Database Scaling
Section 5: Communication Between Systems
Lecture 24 WebSockets
Lecture 25 Long Polling vs WebSockets
Lecture 26 Message Queues
Lecture 27 Rate Limiting Algorithms
Section 6: Architecture, Optimization & Final Touches
Lecture 28 Concurrency vs Parallelism
Section 7: Let’s review our Learnings
Section 8: Conclusion
Lecture 29 Thank You
Developers preparing for system design interviews,Engineers aiming to scale systems like Netflix, Uber, or Amazon,Students and professionals who want to become backend/system architects

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