Technology / Redis
Redis Development
Redis is an in-memory data store used for caching, session storage and lightweight message queuing.
Why We Use It
Redis removes repeated load from a primary database by caching frequently accessed data in memory, and provides fast, simple infrastructure for background job queues.
Our Expertise
We use Redis to cache expensive queries, manage sessions at scale, and back lightweight job queues for asynchronous processing.
Use Cases
Typical Use Cases
Application Caching
Reducing database load for frequently accessed, slow-changing data.
Session Storage
Fast, shared session storage across multiple application servers.
Background Job Queues
Queuing asynchronous tasks such as email sending or AI processing jobs.
How It Fits Our Architecture
Redis typically sits alongside a primary database (PostgreSQL or MongoDB), used specifically for caching, sessions and queues rather than as a system of record.
FAQ
Frequently Asked Questions
Redis is used for data that can be regenerated or is not the source of truth (cache, sessions, queues) — persistent business data lives in the primary database.
No — we add it when caching, session scaling or queuing genuinely improve performance, not as a default for every build.
Yes — its publish/subscribe capability is commonly used to support real-time notifications alongside a web application.