Performance Optimization

4.1. Caching Strategies

• Cache Management: Improve performance by caching responses, queries, and data. Use drivers like Redis or Memcached to store cached data.
• Cache Configuration: Set up cache stores in your configuration file and use them in your application logic to cache frequently accessed data.

4.2. Load Balancing

• Horizontal Scaling: Distribute traffic across multiple server instances to handle high loads. Use load balancers like Nginx or HAProxy to manage this distribution.
• Session Management: Ensure session data is shared across instances using shared storage solutions or distributed caches.

4.3. Asynchronous Processing

• Background Jobs: Offload long-running tasks to background jobs using workers or task queues. Libraries like bull or agenda can be used for job scheduling and processing.
• Event Handling: Use event-driven architecture to handle asynchronous operations and decouple components in your application.