Redis
Redis is the in-memory data store we use for caching, rate limiting, session storage, and message queues: the fast layer that takes pressure off your database and keeps users on snappy interfaces.
Redis for production-grade performance
We use Redis to make production systems faster, more resilient, and able to handle real traffic. Caches that take pressure off PostgreSQL, queues that smooth out spikes, rate limiters that protect APIs, sessions that scale across servers.
Cache, queue, rate limit, all in one
Redis is more than a cache. We use it for rate limiting, distributed locks, real-time leaderboards, pub/sub, and session storage. The Swiss Army knife that solves problems other databases would handle slowly or not at all.
In-memory speed, real persistence
We push background work to Redis queues and process it asynchronously. Email sending, webhook processing, payment reconciliation, scheduled reports. Important for systems where users should not wait for slow tasks to complete.
Rate limiting and quota control
Hitting a database for every request gets expensive fast. Redis caches the results that do not need to be recomputed every time. We design caching strategies that match access patterns: short TTLs for fresh data, longer for stable data, proper invalidation when things change.
High availability when needed
Redis is great for rate limiting third-party API calls, throttling user requests, or enforcing fair-use quotas. We have implemented rate limiters that handle thousands of requests per second without becoming the bottleneck themselves.
Job queues that just work
Background jobs, scheduled tasks, retries with backoff. We use Redis with libraries like BullMQ or Sidekiq to run async work reliably: send emails, process webhooks, generate reports without blocking the request that triggered them.
Real-time features at scale
When losing data is unacceptable, we use Redis Sentinel or Redis Cluster for automatic failover. AOF persistence for durability, replication for availability. Production setups where the cache going down does not take the product down.
Battle-tested at scale
We use Redis on most production projects: caching API responses, storing sessions, rate limiting third-party calls, queueing background jobs. Real production load on fintech APIs and SaaS backends, not toy examples.
Frequently Asked Questions
Common questions before working with us.
Do we need Redis if we already have a database?
When does Redis pay off in a production system?
How is Redis different from Memcached?
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