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My busiest endpoint hits Postgres for the same query on every single request, and the database is starting to show it.
What you'll have at the end
A route that checks Redis first and only queries Postgres on a miss
You need
A route that already queries Postgres directly for one row by its own id on every request, and a Redis instance (or an equivalent key-value cache) the app can already reach.
Not covered
Keeping the cached copy correct once the underlying row changes elsewhere, and protecting against many requests landing on the same freshly expired key at once; both are their own problem once this basic read path is live.
Leans on
Fix a cache that shows old data
once other code paths can update the same row, the copy sitting in the cache can go stale between expirations; that invalidation problem is handled there.
Survive a cache stampede under load
if this same key gets popular enough that many requests land in the same instant its expiry runs out, handle that pile-up there instead of here.
Prove your cache is faster, never slower
to measure whether this actually sped up the endpoint under your own real traffic, rather than relying on a general before-and-after figure, that is covered there.
Checked 18 Aug 2026
Part of the Backend Caching cookbook