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docs/vmalert.md: document vmalert url flags a bit more cleanly (#1823)

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Describe remoteWrite.url is used to persist rules and alerts state info,
and add an additional paragraph explaining the separation between
-remoteRead.url and -datasource.url.

Fixes #1810.
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Florian Klink 2021-11-16 23:54:06 +01:00 committed by GitHub
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13
docs/vmalert.md
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@ -41,11 +41,12 @@ The build binary will be placed to `VictoriaMetrics/bin` folder.
To start using `vmalert` you will need the following things:
* list of rules - PromQL/MetricsQL expressions to execute;
* datasource address - reachable VictoriaMetrics instance for rules execution;
* datasource address - reachable MetricsQL endpoint to run queries against;
* notifier address - reachable [Alert Manager](https://github.com/prometheus/alertmanager) instance for processing,
aggregating alerts and sending notifications.
* remote write address [optional] - [remote write](https://prometheus.io/docs/prometheus/latest/storage/#remote-storage-integrations)
compatible storage address for storing recording rules results and alerts state in for of timeseries.
compatible storage to persist rules and alerts state info;
* remote read address [optional] - MetricsQL compatible datasource to restore alerts state from.
Then configure `vmalert` accordingly:
```
@ -53,12 +54,18 @@ Then configure `vmalert` accordingly:
-datasource.url=http://localhost:8428 \ # PromQL compatible datasource
-notifier.url=http://localhost:9093 \ # AlertManager URL
-notifier.url=http://127.0.0.1:9093 \ # AlertManager replica URL
-remoteWrite.url=http://localhost:8428 \ # Remote write compatible storage to persist rules
-remoteWrite.url=http://localhost:8428 \ # Remote write compatible storage to persist rules and alerts state info
-remoteRead.url=http://localhost:8428 \ # MetricsQL compatible datasource to restore alerts state from
-external.label=cluster=east-1 \ # External label to be applied for each rule
-external.label=replica=a # Multiple external labels may be set
```
Note there's a separate `remoteRead.url` to allow writing results of
alerting/recording rules into a different storage than the initial data that's
queried. This allows using `vmalert` to aggregate data from a short-term,
high-frequency, high-cardinality storage into a long-term storage with
decreased cardinality and a bigger interval between samples.
See the full list of configuration flags in [configuration](#configuration) section.
If you run multiple `vmalert` services for the same datastore or AlertManager - do not forget