Redis is one of the most useful tools I use for performance-sensitive backend systems. It is a strong fit for caching, ephemeral state, background coordination, rate-sensitive workflows, and other use cases where fast in-memory access materially improves application behavior.
I typically introduce Redis when a product needs faster reads, less repeated computation, or cleaner handling of short-lived state. That might include cache layers, queued task support, session-like data, throttling logic, or workload smoothing for busy parts of the system.
The important thing about Redis is not just speed. It is how speed changes product behavior. A well-used cache can make the application feel dramatically more responsive and reduce load on the primary database and backend services.
Used thoughtfully, Redis becomes part of the performance architecture rather than just an add-on. It is one of the tools that helps turn a functional system into one that feels fast and dependable in real use.