How to add Redis caching
Follow these steps in Evonx to add Redis caching for hot reads without corrupting source-of-truth data. Use this when dashboards or session-like lookups need lower latency.
Step-by-step
Identify cacheable reads
Pick endpoints that are read-heavy and tolerate brief staleness before introducing Redis.
Provision Redis securely
Use a managed Redis with TLS and credentials stored only in server environment variables.
Design keys and TTLs
Namespace keys by tenant and entity; set TTLs that match how often data changes.
Implement cache-aside
Read through cache on miss, write-through or invalidate on updates to avoid stale leaks.
Protect against stampedes
Add locking or probabilistic early expiration for popular keys under load.
Preview and observe
Measure hit rates and fail-open behavior in preview before relying on cache in production.
Outcome
Redis caching layered onto your app with keyed TTLs, invalidation, and safe failure modes.
Related resources
FAQ
Should Redis store primary business data?
No. Keep Postgres/Mongo as source of truth; Redis is for acceleration and ephemeral state.
How do multi-tenant keys work?
Prefix every key with organization ID so one tenant can never read another's cached payload.
What if Redis goes down?
Fail open to the database for reads and alert—do not block core requests solely on cache availability.
Build production software with Evonx
Start from a template or connect an existing repository. Evonx helps you ship real applications with preview, evolution threads, and pull-request delivery—not disposable demos.