dendrite/keyserver
Kegsay abd16ff4a0
Modify DeviceListUpdater to retry requests according to RetryAfter (#1342)
* Modify DeviceListUpdater to retry requests according to RetryAfter

* Reduce wait time for sytest test pollution
2020-08-26 12:03:09 +01:00
..
api Fix more E2E sytests (#1265) 2020-08-12 22:43:02 +01:00
internal Modify DeviceListUpdater to retry requests according to RetryAfter (#1342) 2020-08-26 12:03:09 +01:00
inthttp Process inbound device list updates from federation (#1240) 2020-08-05 13:41:16 +01:00
producers Summarise key change logs (#1278) 2020-08-18 11:14:37 +01:00
storage Use Writer in shared package (#1296) 2020-08-25 10:29:45 +01:00
keyserver.go Add FederationClient interface to federationsender (#1284) 2020-08-20 17:03:07 +01:00
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.