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Everyone’s persisting Redis even when it’s just a cache – and that’s usually fine.
A common thread in self-hosted community discussions: developers turning off Redis persistence for cache-only workloads to save disk I/O, then discovering their app breaks during Redis restarts. The default persistence-on behavior has been correct for most home lab setups. Here is why.
In this guide (jump ahead)
What Redis persistence actually costs
Redis offers two persistence modes: RDB (point-in-time snapshots, low overhead) and AOF (append-only log, higher durability). Both write to disk periodically. The concern developers have: this disk I/O reduces max throughput and adds latency spikes.
In practice: on modern SSDs with default RDB config (bgsave every 5 minutes if 100 keys changed), the overhead is under 3% of CPU and negligible on latency P99. On spinning disks the overhead is higher but still under 10% for typical home lab workloads.
Why “just a cache” isn\’t just a cache
The argument for disabling persistence: “It’s a cache, if we lose it we just repopulate from the source of truth.” True in theory, painful in practice for home lab setups.
Home lab cache misses often mean expensive operations: re-fetching from a slow API, re-generating from disk, re-computing something that took 30 seconds. If your Home Assistant Redis cache dies at 6 AM, your morning automations run against cold cache for the next 30 minutes. If your Jellyfin cache dies mid-transcode, you re-encode. Not catastrophic – but annoying.
The three cases where disabling persistence is genuinely correct
1. Session storage with an external identity provider. If sessions can be rebuilt from JWTs or an SSO round-trip, cache loss = one extra login per user. Fine.
2. Rate limiting counters that expire in seconds. A counter that resets every minute anyway does not benefit from persistence.
3. Distributed lock coordination when application logic handles lock loss gracefully. Some distributed systems assume locks can vanish and have retry logic. Persistence adds no value.
The pragmatic default for home labs
Leave RDB persistence on with default settings. Add AOF only if you have a workload where losing the last few minutes of data causes real problems (financial transactions, audit logs, workflow state).
Set `save` config to reasonable defaults – the shipped values (900 sec if 1 key changed, 300 sec if 10 keys, 60 sec if 10000 keys) are usually fine. Do not tune unless you have measured evidence of a problem.
Monitor `redis-cli info persistence` for `rdb_last_bgsave_status` – if it shows anything other than “ok”, you have a real problem to fix before turning off persistence “for performance.”
When persistence actually hurts
If you are running Redis on the same physical disk as a busy database and hitting I/O contention, RDB fsync during bgsave will cause visible latency spikes. Solution: put Redis on a separate SSD. Do not disable persistence.
If you have very tight memory constraints and Redis is fork()-ing to snapshot, you can double memory usage briefly. Solution: enable `no-appendfsync-on-rewrite yes` or lower the snapshot frequency. Do not disable persistence entirely.
Frequently asked questions
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