- Redis installation, configuration, and cluster/sentinel setup for HA
- Redis caching integration: session storage, query caching, API response caching
- Nginx micro-caching configuration with cache purge API
- Varnish Cache VCL configuration for full-page and fragment caching
- PHP OPcache tuning for PHP applications
- CDN caching integration (see Cloudflare CDN and Performance CDN pages)
- Cache hit ratio monitoring and alerting on cache miss rate increases
- Cache warming scripts for cold-start performance after deploys
- Memcached configuration for distributed object caching
- Cache invalidation strategy design and implementation
Performance
Caching
Server-side caching with Redis, Varnish and edge layers.
Caching is the single most effective tool for improving application performance and reducing infrastructure costs. Every cache hit is a database query not executed, a compute operation not performed, and a network round-trip eliminated. Hellenic Technologies implements a multi-layer caching strategy — application object caching, database query caching, full-page caching, and HTTP caching — tailored to each application’s access patterns.
Redis is the most versatile caching solution and our default recommendation for application-level caching. We configure Redis as an in-memory cache for session storage, API response caching, database query result caching, and rate limiting counters. Redis Cluster or Redis Sentinel provides high availability; Redis persistence (RDB snapshots or AOF) balances recovery guarantees against performance. For workloads with very high cache volumes, we implement Redis key eviction policies (LRU or LFU) to prevent memory exhaustion.
Nginx micro-caching — caching dynamic responses for 1 to 5 seconds — is a deceptively powerful technique for high-traffic APIs and CMS-driven websites. Even a 1-second cache TTL reduces database load by orders of magnitude during traffic spikes while being practically invisible to users. Combined with a Varnish reverse proxy cache for longer-lived content, this approach can serve thousands of requests per second from a single modest server.
Caching implementation services:
