01
Cache stampede & thundering-herd defense
Implementing probabilistic early expiration (XFetch) and distributed mutex locks.
Technologies — Databases & storage
Redis distributed caching & in-memory data structures
We design Redis caching layers that take read load off your primary database while protecting it from cache stampedes.
Core capabilities
Why we build with Redis
02
Advanced data structures
Using HyperLogLog, bitmaps and sorted sets for fast leaderboard and metric calculations.
03
High-availability Redis clusters
Multi-node Sentinel and Cluster topologies with automatic failover and cross-region replication.
Use cases
Where Redis fits
API rate limiting & session storage
Token-bucket rate limiting in front of public API endpoints.
Real-time leaderboards & analytics
Live player rankings and counters on Redis sorted sets.
How we staff it
Redis engineers you interview first
Seniority and experience are agreed in the proposal, and you interview every engineer before they start.
Working-hours overlap is agreed for each engagement and written into the statement of work — the shared window, who shifts hours, and how handoffs work outside it.
Technical FAQs
Frequently asked engineering questions
We use probabilistic early expiration algorithms (XFetch) to recompute keys in the background before they expire.
While Redis has persistence (RDB/AOF), we typically recommend using Redis as a high-speed cache or queue layer in front of PostgreSQL.
Ecosystem
Related technologies
Planning a Redis project?
Tell us about your architecture, backlog and team. We'll reply within one business day with an honest read on whether we can help.