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Managed Redis

Managed Redis is a managed, in-memory data store. Run lizard add redis and a Redis 8 instance is ready in seconds.

Sub-millisecond reads

In-memory Redis 8 keeps hot paths, caches, and rate limiters fast while traffic climbs.

Snapshots on disk

Redis saves snapshots to disk on its default schedule and loads the last one when it starts. Keep data you cannot lose in Managed Postgres.

Queues and pub/sub

Back job queues, rate limiters, and real-time fan-out without running a broker. Pair it with a worker service.

Wired in by reference

Point REDIS_URL at ${{redis.REDIS_URL}} once. Every consumer picks up new values on its next deploy.

Frequently asked questions

Managed Redis is a managed, in-memory Redis instance for caching, queues, rate limiting, and sessions. Lizard provisions it, runs it in its own isolated pod, and keeps it patched — you get a REDIS_URL and a key browser.

Run lizard add redis in your project. Bind it to a service with lizard secrets set REDIS_URL='${{redis.REDIS_URL}}' --service api, then redeploy. The reference resolves at deploy time, so your code never holds the password.

Up to the last snapshot. Lizard runs Redis with its defaults: no append-only file and no eviction policy. Redis saves snapshots to the instance’s disk and loads the last one when it starts. If Redis stops suddenly, for example when it runs out of memory, writes made since the last snapshot are lost. Keep data you cannot lose in Managed Postgres.

Redis 8 by default. Versions 7.4 and 7 are also available if a client library pins an older release.

The common uses are caching query results, session storage, rate limiting, job queues drained by a Lizard worker service, and pub/sub between services. Anything you would reach for Redis for elsewhere works the same here.

Lizard bills Redis by the second on measured CPU, memory, and disk rather than on allocated size. A cache that is quiet at night costs less at night.

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