Explore Redis for caching, rate limiting, sessions, coordination, messaging, and background jobs, with attention to trade-offs and failure modes

Redis is frequently introduced to developers as a caching system.

That is only one of its uses.

In backend architecture, Redis can participate in several different patterns, including caching, session management, rate limiting, distributed coordination, real-time messaging, and background-job infrastructure.

Its usefulness comes from more than simply storing data in memory. Redis provides data structures and operations that can help applications solve specific problems without repeatedly querying a database or performing expensive computations.

However, using Redis effectively requires understanding what each pattern is responsible for, what guarantees it provides, and what happens when things fail.

Cache and queue are different responsibilities

A cache answers:

Can I retrieve this expensive result without recomputing it?

A queue answers:

Can I defer this…