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dendrite/keyserver
Neil Alexander 9b316ac64c
Slower federation warm-up (#2320)
* Wake destination queues gradually, rather than all at once

* Delay device list updates too

* Maximum two minute warmup period
2022-04-04 15:14:10 +01:00
..
api Remove eduserver (#2306) 2022-03-29 14:14:35 +02:00
internal Slower federation warm-up (#2320) 2022-04-04 15:14:10 +01:00
inthttp Delete device keys/signatures from key server when deleting devices (#1979) 2021-08-18 12:07:09 +01:00
producers Remove eduserver (#2306) 2022-03-29 14:14:35 +02:00
storage Remove unused partition_offset_table (#2288) 2022-03-21 10:47:41 +01:00
types Remove sarama/saramajetstream dependencies (#2138) 2022-02-04 13:08:13 +00:00
keyserver.go Per-room consumers (#2293) 2022-03-23 10:20:18 +00:00
README.md Add boilerplate for key server APIs (#1196) 2020-07-13 16:02:35 +01:00

Key Server

This is an internal component which manages E2E keys from clients. It handles all the Key Management APIs with the exception of /keys/changes which is handled by Sync API. This component is designed to shard by user ID.

Keys are uploaded and stored in this component, and key changes are emitted to a Kafka topic for downstream components such as Sync API.

Internal APIs

  • PerformUploadKeys stores identity keys and one-time public keys for given user(s).
  • PerformClaimKeys acquires one-time public keys for given user(s). This may involve outbound federation calls.
  • QueryKeys returns identity keys for given user(s). This may involve outbound federation calls. This component may then cache federated identity keys to avoid repeatedly hitting remote servers.
  • A topic which emits identity keys every time there is a change (addition or deletion).

### Endpoint mappings

  • Client API maps /keys/upload to PerformUploadKeys.
  • Client API maps /keys/query to QueryKeys.
  • Client API maps /keys/claim to PerformClaimKeys.
  • Federation API maps /user/keys/query to QueryKeys.
  • Federation API maps /user/keys/claim to PerformClaimKeys.
  • Sync API maps /keys/changes to consuming from the Kafka topic.