Integrating Redis
We integrate Redis into your architectures for optimal cache performance: sessions, pub/sub, job queues with BullMQ. Your APIs faster, your jobs more reliable.
What is Redis, and how does it improve performance?
Redis is an ultra-fast in-memory database (sub-millisecond) used for application caching, sessions, pub/sub and job queues. Caching with Redis cuts database queries by 80 to 90%, which directly improves the Redis cache performance your users feel.
Why we use Redis
High-performance application cache
Query results, API responses, configuration data: repeated reads served from Redis in under 1 ms. Redis cache performance moves up a level.
User sessions
Sessions stored in Redis with automatic TTL. Horizontal scalability without sticky sessions.
BullMQ: job queues
Async jobs, automatic retry, priorities, parallel workers: BullMQ on Redis is our standard for queues.
Pub/Sub & real time
Messages between services, real-time notifications, distributed cache invalidation: Redis pub/sub without complex infrastructure.
What Redis changes for your performance
APIs 10x faster and reliable async jobs: without changing your main database.
Faster APIs
Caching with Redis cuts database queries by 80 to 90%. Your users notice the difference immediately.
Reliable async jobs
Emails, notifications, heavy processing: moved off the critical path with BullMQ, retried on failure.
Horizontal scalability
Sessions in Redis, shared cache: you can multiply API instances without local state.
Resilience
Circuit breaker, fallback to the database in case of a Redis failure: the architecture stays robust.
Our Redis expertise, in numbers
What we build with Redis
We combine Redis with
The stack that surrounds Redis on our projects.
How we integrate Redis
Every stack comes with its own ecosystem. We always pick the technologies best suited to your project, based on its needs and its context.
We connect the application via ioredis, define a caching strategy (TTL, invalidation) and intercept costly queries before they reach the database. Redis cache performance improves from the very first deployment, with 80 to 90% of DB queries avoided on the hot endpoints.
Yes, it's one of its main use cases. With AOF persistence enabled and a well-configured TTL, Redis handles sessions reliably and at scale. For critical data, PostgreSQL remains the source of truth.
BullMQ on Redis is the most performant and the richest in features. pg-boss is a good fit if you want to stay on PostgreSQL only. Agenda is simpler but less scalable.
An appropriate eviction policy (allkeys-lru for a pure cache), hit-rate monitoring, alerts on memory.
Yes. Redis Cluster for horizontal scalability, Redis Sentinel for high availability. AWS ElastiCache or Redis Cloud for the managed option.
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Your performance boosted with Redis
We integrate Redis into your architecture. Cache, sessions, BullMQ: your APIs faster and your jobs more reliable.
Integrate Redis