System Design Masterclass


System Design Masterclass
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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