Redis

Redis is an in‑memory datastore that makes systems noticeably faster—used as a cache, queue backend, session store or for rate limiting. I reach for Redis when performance, stability and predictable behaviour under load matter.

Common patterns

Typical use cases are cache‑aside strategies for API responses, locks for jobs, queues/workers (Laravel Queues), Pub/Sub or Streams. This helps decouple processes while keeping operations fast and observable.

Reliable operations

To avoid turning Redis into a “black box” I apply TTLs, clear key namespaces, monitoring (hit rate, memory, evictions) and hard limits. Depending on the workload this can include persistence (RDB/AOF), replication or managed Redis (e.g. ElastiCache).

Redis is a highly effective building block for applications that need to stay fast as data and traffic grow.