🔍 Overview
Caching is a critical component for optimizing performance in web applications. By storing frequently accessed data temporarily, caching reduces latency and server load. This guide explains how to configure caching settings effectively.
📝 Key Concepts
Cache Types:
- In-Memory Cache: Fast but limited by RAM size.
- Disk-Based Cache: Larger storage capacity but slower access.
- Distributed Cache: Ideal for scalable systems (e.g., Redis or Memcached).
TTL (Time-to-Live): Define how long cached data remains valid.
Cache Control Headers: Use
Cache-Control
,ETag
, andExpires
to manage caching behavior.
🛠️ Configuration Options
- Enable Caching
Cache-Control: public, max-age=3600
- Set Cache Size
- Example:
Cache-Size: 1024MB
- Example:
- Specify Cache Storage Type
- Use
/Documentation/en/Performance_Settings/Cache_Types
for detailed options.
- Use
🧠 Best Practices
✅ Use Appropriate TTL: Avoid stale data by aligning TTL with content update frequency.
✅ Monitor Cache Hit/Miss Rates: Optimize performance by analyzing cache efficiency.
✅ Implement Cache Validation: Use ETag
to ensure clients fetch updated data when necessary.
📚 Related Resources
For visual examples of caching workflows, see Caching Architecture Diagram.