High-performance in-memory data store
We use Redis (or the open-licence fork Valkey) as an in-memory data store for caching, session storage, queues, pub/sub, streams and distributed rate limiting — with sub-millisecond latency and strong scalability, entirely on your infrastructure.
Capabilities: high availability via Sentinel or Redis Cluster, persistent storage (RDB/AOF), TLS encryption, ACLs for fine-grained access and modules for search, time-series and JSON — all as an open-source stack.
We deliver: architecture guidance (when Redis, when Postgres, when Kafka), migrations from ElastiCache or MemoryStore, hardening, monitoring with Prometheus exporters and training — so cache and messaging reliably contribute to platform performance.