Caching (Redis, CDN, API Gateway)

Caching (Redis, CDN, API Gateway)

Caching is one of the most effective ways to speed up the API, reduce server load, and provide fault tolerance. We implement multi-layer caching: at the data level (Redis), at the content level (CDN) and at the routing level (API Gateway). This allows you to reduce the response time to milliseconds, avoid overloads and ensure stability during peak calls.

Types of caching we use

Level	Tools & Benefits
Redis/Memcached	Fast in-memory cache for storing sessions, tokens, query results
CDN (Cloudflare, Akamai)	Caching static and quasi-static API responses across edge servers
API Gateway	Responses from cache without accessing backend on repeated requests, TTL control

When the cache is particularly effective

Duplicate queries with the same parameters
Results of heavy calculations or long operations
Frequently used directories, filters, public data
Multi-regional applications with geo-distributed traffic

What caching for API gives

Instant Replay
Reduce database and backend load
Resistance to traffic spikes (for example, when launching promotions or updates)
Improved SLAs, timeouts, and responsiveness
Lower infrastructure costs

How we implement it

Redis configuration with eviction policy and namespace
CDN configuration with path, query and headers caching
Gateway-level caching (e.g., using Kong, Tyk, Amazon API Gateway)
TTL, Disability and Cache Basting Management
Integration with metrics: cache hits/misses, speed, volume

Where especially important

E-commerce and promotional services with sharp peaks
Gaming platforms with repeated API calls
Mobile and SPA applications with delay sensitivity
APIs that provide frequently read but rarely changed data

Caching is a buffer between speed and stability. We build a robust architecture where every re-call is faster and every peak load is under control.