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README: document how to follow other relays

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kaniini 2018-11-18 14:43:28 +00:00
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README.md
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@ -56,3 +56,16 @@ Performance is very good, with all data being stored in memory and serialized to
JSON-LD object graph. Worker coroutines are spawned in the background to distribute JSON-LD object graph. Worker coroutines are spawned in the background to distribute
the messages in a scatter-gather pattern. Performance is comparable to, if not the messages in a scatter-gather pattern. Performance is comparable to, if not
superior to, the Mastodon relay software, with improved memory efficiency. superior to, the Mastodon relay software, with improved memory efficiency.
## Management
You can perform a few management tasks such as peering or depeering other relays by
invoking the `relay.manage` module.
This will show the available management tasks:
$ python3 -m relay.manage
When following remote relays, you should use the `/actor` endpoint as you would in
Pleroma and other LitePub-compliant software.