System Design, Visually

Foundations

1. 01Why Study System Design?
2. 02What Is a Server?
3. 03Latency and Throughput

Scaling

1. 04Vertical Scaling
2. 05Horizontal Scaling
3. 06Auto Scaling

Planning

1. 07Back-of-the-Envelope Estimation

Distributed trade-offs

1. 08CAP Theorem

Database scaling

1. 09Indexing
2. 10Partitioning
3. 11Primary-Replica Architecture
4. 12Multi-Master Setup
5. 13Database Sharding
6. 14Disadvantages of Sharding

Data models

1. 15SQL Database
2. 16NoSQL Database
3. 17Scaling in SQL vs NoSQL
4. 18When to Use SQL or NoSQL

Services

1. 19Monolith and Microservices
2. 20Why Break into Microservices?
3. 21When to Use Microservices
4. 22Client Requests in Microservices

Traffic

1. 23Why Use a Load Balancer?
2. 24Load Balancer Algorithms

Caching

1. 25Caching Introduction
2. 26Benefits of Caching
3. 27Types of Caches
4. 28Redis Deep Dive

Storage and delivery

1. 29Blob Storage
2. 30AWS S3 Basics
3. 31CDN Introduction
4. 32How a CDN Works
5. 33Key CDN Concepts

Messaging

1. 34Asynchronous Programming
2. 35Why Put a Broker in Between?
3. 36Message Queue
4. 37Message Stream
5. 38When to Use a Message Broker

Kafka and realtime

1. 39When to Use Kafka
2. 40Kafka Internals
3. 41Realtime Pubsub

Events

1. 42Event-Driven Architecture
2. 43Why Use Event-Driven Architecture?
3. 44Simple Event Notification
4. 45Event-Carried State Transfer

Distributed systems

1. 46Distributed Systems
2. 47Leader Election
3. 48Big Data Tools

Consistency

1. 49Strong Consistency
2. 50When to Choose Strong Consistency
3. 51Eventual Consistency
4. 52When to Choose Eventual Consistency
5. 53Ways to Achieve Strong Consistency
6. 54Ways to Achieve Eventual Consistency

Recovery and networking

1. 55Consistent Hashing
2. 56Why Make Databases Redundant?
3. 57Different Ways to Back Up Data
4. 58Continuous Redundancy
5. 59What Is a Proxy?
6. 60Forward Proxy
7. 61Reverse Proxy
8. 62Building a Reverse Proxy

Interview process

1. 63How to Solve Any System Design Problem