2 posts tagged with "redis"

A cache is the easiest part of your stack to stand up and the hardest part to see into. Valkey starts in seconds, but the moment you want to know what is actually in it you reach for a client, open a TLS connection, and type commands by hand just to confirm a key exists. The fast, ephemeral store that should be the simplest thing you run turns into the one you have the least visibility into.

The Launch a cache with a console stack fixes that in one button. You get a managed Valkey cache with Redis Commander attached: an EU-resident in-memory store plus a browser console to browse keys, inspect values, and run commands, wired and metered, in minutes.

Most applications hit a performance wall that has nothing to do with their code. The database query that takes 50ms works fine until you are serving 10,000 requests per minute and your connection pool is saturated. Adding an in-memory caching layer drops that response time to under a millisecond and takes the read load off your primary database.

Valkey is the open-source, Redis-compatible in-memory data store that the community rallied behind after Redis changed its license in 2024. It is wire-compatible with Redis, which means your existing Redis clients, libraries, and tooling work without modification. No license concerns, no vendor lock-in, and active development under the Linux Foundation.

This guide walks through provisioning a managed Valkey instance on FoundryDB and implementing common caching patterns in Python, Node.js, and Go.