Multi-Tier caching in the tokens service #6129
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🐋 This PR was built and pushed to the following Docker images: Targets: Platforms: Image Tag: Docker Bake metadata{
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} |
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This PR introduces a multi-layer caching of for tokens - LRU cache with Redis as a secondary cache layer.
When a token is created
We store it for 1h (fresh data) and 24h (stale data) in Redis.
When a token is deleted
We make Redis
DELcommand part of Postgres transaction to keep data in sync. In-memory cache entry is purged in the replica that got the deletion request, other replicas will keep it for no more than 5 minutes.When a target, project or organization is deleted
Cache entries (tokens) in Redis are invalidated, but not as part of the db transaction, they will eventually expire.
When Redis is down
Tokens service serves data from the In-memory cache, but in case data is missing, it reads it from Postgres and adds the result to the in-memory cache.
Writes to Redis are gracefully handled, it's not a blocker for the system.
When Postgres is down
Tokens service serves stale data from the in-memory cache as long as it can't communicate with Postgres, but if another replica can, the in-memory cache will fetch fresh data from Redis.
There are things to improve. For example when PG is down, the tokens service being scaled up, but Redis has partial or no data, the new replica won't be able to serve tokens. I reduced the chances of this happening by added an extra Redis cache that contains data up to 24h. It is used as a fallback when PG is down and there's no stale cache entry in the in-memory cache.