REST API Performance Improvement

Key steps to improving Rest API performance:

• Optimize Database Queries

• Use indexing effectively
• Implement query caching
• Optimize SQL statements
• Use database connection pooling

• Implement Caching Strategies

• Use in-memory caching (e.g. Redis, Memcached)
• Implement HTTP caching headers
• Use content delivery networks (CDN) for static contents

• Compress API Responses

• Use GZip compression
• Implement Brotli compression for modern browsers

• Use Efficient Data Formats

• Use JSON for most of use-cases
• Consider protocol buffers or message pack for binary data

• Implement Pagination

• Limit the amount of data returned in a single request
• Use cursor based pagination for large datasets using limit, offset etc.

• Asynchronous Processing

• Use message queue for time consuming tasks
• Implement WebHooks for long-running operations

• Rate Limiting

• Implement rate limiting to prevent abuse
• Use token bucket or leaky bucket algorithms

• Optimize Network Settings

• Use HTTP/2 or HTTP/3
• Enable Keep-Alive connections
• Optimize TCP settings

• Load Balancing

• Distributed traffic across multiple servers
• Use round-robin or least connections algorithms

• Code Optimization

• Use efficient algorithms and data structures
• Implement lazy loading wherever appropriate
• Optimize memory usage

• Proper Error Handling

• Implement error with meaning full messages
• Use proper HTTP status codes as per operation

• API Versioning

• Implement proper versioning to manage changes
• Use URL or header based versioning

• Minimize Payload Size

• Only send necessary data
• Use field selection to allow clients to request specific fields

• Use Appropriate Data Types

• Use the most efficient data types for your use cases
• Avoid unnecessary type conversations

• Implement Timeouts

• Set appropriate timeouts for all operations
• Handle timeout gracefully

• Optimize Authentication and Authorization

• Use Token based authentication (e.g JWT)
• Implement efficient session management
• Use OAuth-2 methods for better authorization for third party integrations

• Use Microservice based Architecture

• Break down monolithic APIs into Microservices modules
• Implement Service discovery and orchestrations
• Apply API gateway and other Microservice based design patterns wherever possible

• Implement GraphQL

• Consider using GraphQL for flexible querying
• Implement DataLoader for efficient data fetching

• Optimize for Mobile

• Implement Server side rendering for mobile clients
• Use lightweight response formats for mobile