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Guides / system-design

system-design Guides

13 guides

beginner

APIs

How services expose functionality through well-defined interfaces like REST

Caching

Storing frequently used data in fast storage to reduce latency and load

Client-Server Model

How clients and servers communicate over a network to power most applications

Databases

Where systems store, query, and persist data reliably over time

Load Balancing

Distributing incoming traffic across multiple servers for reliability and scale

Scalability

How systems handle growing load through vertical and horizontal scaling

System Design Fundamentals

Core building blocks and trade-offs behind designing software systems

intermediate

CAP Theorem

The trade-off between consistency, availability, and partition tolerance in distributed systems

Rate Limiting

Controlling how many requests a client can make in a given time window

advanced

Caching Strategies

Patterns for reading, writing, and invalidating cached data reliably

Database Sharding

Splitting a dataset across multiple databases to scale writes and storage

Message Queues

Decoupling services with asynchronous, durable message passing

Microservices

Structuring a system as small, independently deployable services

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