Overview

Cache mechanisms are critical for optimizing system performance by reducing redundant computations and database queries. Different cache types serve distinct purposes depending on your use case and infrastructure. Here's a breakdown of common cache implementations:

  1. In-Memory Cache 🚀
    Stores data in RAM for ultra-fast access. Ideal for temporary data or high-frequency reads.

    Cache Mechanism
    *Learn more about configuring in-memory cache: [Cache Configuration Guide](/Documentation/en/Performance_Settings/Cache_Configuration)*

  2. Disk Cache 💾
    Uses local storage for persistent data caching. Suitable for larger datasets or batch processing.

    Disk Cache

  3. Distributed Cache 🌐
    Spread across multiple servers for scalability. Commonly used in microservices architectures.

    Distributed Cache

Best Practices

  • Always align cache type with your application's data volatility and access patterns
  • Monitor cache hit/miss ratios to avoid over-provisioning
  • Use compression for disk-based caches to save space 📦
  • Implement expiration policies to prevent stale data 🕒

For advanced caching strategies, explore our Performance Optimization Toolkit.