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docs/vmalert.md: document vmalert url flags a bit more cleanly (#1823)
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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@ -41,11 +41,12 @@ The build binary will be placed to `VictoriaMetrics/bin` folder.
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To start using `vmalert` you will need the following things:
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* list of rules - PromQL/MetricsQL expressions to execute;
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* datasource address - reachable VictoriaMetrics instance for rules execution;
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* datasource address - reachable MetricsQL endpoint to run queries against;
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* notifier address - reachable [Alert Manager](https://github.com/prometheus/alertmanager) instance for processing,
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aggregating alerts and sending notifications.
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* remote write address [optional] - [remote write](https://prometheus.io/docs/prometheus/latest/storage/#remote-storage-integrations)
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compatible storage address for storing recording rules results and alerts state in for of timeseries.
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compatible storage to persist rules and alerts state info;
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* remote read address [optional] - MetricsQL compatible datasource to restore alerts state from.
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Then configure `vmalert` accordingly:
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```
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@ -53,12 +54,18 @@ Then configure `vmalert` accordingly:
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-datasource.url=http://localhost:8428 \ # PromQL compatible datasource
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-notifier.url=http://localhost:9093 \ # AlertManager URL
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-notifier.url=http://127.0.0.1:9093 \ # AlertManager replica URL
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-remoteWrite.url=http://localhost:8428 \ # Remote write compatible storage to persist rules
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-remoteWrite.url=http://localhost:8428 \ # Remote write compatible storage to persist rules and alerts state info
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-remoteRead.url=http://localhost:8428 \ # MetricsQL compatible datasource to restore alerts state from
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-external.label=cluster=east-1 \ # External label to be applied for each rule
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-external.label=replica=a # Multiple external labels may be set
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```
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Note there's a separate `remoteRead.url` to allow writing results of
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alerting/recording rules into a different storage than the initial data that's
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queried. This allows using `vmalert` to aggregate data from a short-term,
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high-frequency, high-cardinality storage into a long-term storage with
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decreased cardinality and a bigger interval between samples.
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See the full list of configuration flags in [configuration](#configuration) section.
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If you run multiple `vmalert` services for the same datastore or AlertManager - do not forget
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