MongoDB

System Design Basics for Web Developers

Understand the fundamental concepts of system design including scalability, caching, load balancing, and database optimization.

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System Design Basics for Web Developers

System design is the process of designing scalable and reliable software systems. As applications grow, proper design becomes essential to handle millions of users efficiently.

Key Goals of System Design

A well-designed system should provide:

  • Scalability
  • Reliability
  • Performance
  • Maintainability

Basic Architecture

Most web applications follow this structure:

Client
  ↓
API Server
  ↓
Database

For small projects this works well, but large systems require more components.

Load Balancers

Load balancers distribute traffic across multiple servers.

Benefits:

  • Prevents server overload
  • Improves reliability
  • Enables horizontal scaling

Example flow:

Users
 ↓
Load Balancer
 ↓ ↓ ↓
Server1 Server2 Server3

Caching

Caching stores frequently accessed data in memory.

Popular caching tools:

  • Redis
  • Memcached

Example use case:

User profile requests can be cached instead of querying the database repeatedly.

Database Scaling

Databases become bottlenecks in large systems.

Solutions include:

1. Read Replicas

Multiple databases handle read requests.

Application
  ↓
Primary DB (writes)
  ↓
Replica DB (reads)

2. Sharding

Data is split across multiple databases.

Example:

  • Users 1-1M → Database A
  • Users 1M-2M → Database B

Message Queues

Queues help process background tasks.

Examples:

  • Sending emails
  • Image processing
  • Analytics logging

Popular tools:

  • Kafka
  • RabbitMQ

Example Large-Scale Architecture

Users
 ↓
CDN
 ↓
Load Balancer
 ↓
API Servers
 ↓
Redis Cache
 ↓
Database Cluster

Conclusion

System design helps developers build applications that scale to millions of users. By using caching, load balancing, database scaling, and message queues, modern applications can achieve high performance and reliability.

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