Optimize API performance and reduce latency with Orbital7's caching solutions.
How Orbital7 caching works and when to use
Caching stores frequently requested data to reduce latency and server load. Orbital7 implements edge caching for HTTP, database, and custom rule-based caching strategies.
Optimize critical API workflows for:
# API-Specific Caching Configuration
endpoint:
id: "/user/{id}"
caching:
# Enable cache
enabled: true
# Default TTL if no cache hit
default_ttl: 300 # seconds
# Use cache key for versioned content
cache_keys:
- headers:
accept-language: en-US
- query_strings: ["user_id", "version"]
# Cache rules using header-based matching
content_negotiation: true
Proven strategies for optimal performance and reliability
Use HTTP headers like Accept to handle different cache versions and avoid stale data collisions.
Use X-Cache-Invalidate headers to explicitly manage cache expiration for dynamic content.
Combine in-memory cache for high-priority items with disk cache for low-frequency queries.
For read-heavy APIs with consistent response patterns
Caching reduces load on backend services
Avoid for time-sensitive operations (banking, stock trading)
Data freshness and accuracy required
Use with rate limits and request headers
Combine with rate-limiting for security
Layered caching architecture for maximum performance
First-line cache at CDN level for global content distribution
Memory-based cache for frequently accessed API resources
Index-based caching of frequent database queries
Application-specific caching rules and strategies
Measurable improvements with proper caching
Response times improve in 85-95% of cases