Database
Redis
The Swiss Army knife of in-memory data stores. We implement and operate Redis for caching, session management, rate limiting, pub/sub messaging, queues, and more — at the speed your application demands.
Why Redis?
Redis operates at sub-millisecond latency with extraordinary throughput — making it indispensable for use cases where speed is critical. Its rich data structure support (strings, hashes, lists, sets, sorted sets, streams, and more) makes it far more versatile than a simple key-value cache.
Use Cases We Implement
Application Caching
Database query caching, API response caching, and computed result caching with intelligent cache invalidation strategies.
Session Management
Distributed session storage for stateless application deployments with TTL-based expiry.
Rate Limiting
Token bucket and sliding window rate limiting using Redis atomic operations.
Job Queues
Reliable background job queues with BullMQ or Sidekiq for async processing at scale.
Pub/Sub Messaging
Real-time event broadcasting between services and to WebSocket clients.
Leaderboards & Counters
Real-time rankings with sorted sets and atomic counters for analytics and gaming applications.
What We Configure & Operate
- → Redis Cluster for horizontal sharding and high availability
- → Sentinel for automatic failover in primary-replica setups
- → Persistence configuration (RDB snapshots and AOF) based on durability requirements
- → Memory policy tuning for optimal eviction behavior under memory pressure
- → Keyspace monitoring and alerting on memory usage, hit rates, and slow commands
- → Redis Streams for durable, consumer-group-based event processing