Redis — cache and queues for high loads.
Fast in-memory storage. We use it for caching, sessions, job queues and counters — so your site and services respond instantly even under load.
When we use it,
and when we don’t.
Redis complements the main database but doesn't replace it: we keep persistent data in PostgreSQL.
When it fits
- Caching heavy queries and pages
- Queues for background jobs and mailings
- User sessions and request limits
- Counters and real-time updates
When it doesn’t
- Persistent storage of orders and customers — PostgreSQL
- A small site with no load
- Complex queries and data reports
What your business gets.
- SpeedResponses in milliseconds thanks to in-memory storage.
- QueuesHeavy tasks run in the background, so the user doesn't wait.
- Rate limitingProtecting the API from overload and abuse.
- SessionsFast authentication and saving of user state.
- Temporary dataVerification codes, tokens and counters expire automatically on schedule.
- Fast real-timePub/Sub for chats, notifications and live updates with no delays.
How we adopt
Redis.
01
Task analysis
We discuss the goal, audience and constraints and check whether Redis is right for you.
02
Planning
We describe the architecture, integrations and stages — you see the plan and estimate before we start.
03
Development
We work in iterations with a demo every week, so you see progress and can request changes.
04
Launch and support
We publish, set up monitoring and stay by your side: updates, improvements, consultations.
Not sure
which stack to choose?
After a free consultation, we'll recommend an architecture for your product.
accepting projects for Q4 2026