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docs: update per tenant stats page (#1246)
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---
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## VictoriaMetrics Cluster Per Tenant Statistic
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# VictoriaMetrics Cluster Per Tenant Statistic
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<img alt="cluster-per-tenant-stat" src="per-tenant-stats.jpg">
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The enterprise version of VictoriaMetrics cluster exposes the usage statistics for each tenant.
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When the next statistic is exposed:
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VictoriaMetrics cluster for enterprise provides various metrics and statistics usage per tenant:
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- `vminsert`
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* `vm_tenant_inserted_rows_total` - total number of inserted rows. Find out which tenant
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puts the most of the pressure on the storage.
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* `vm_tenant_inserted_rows_total` - the ingestion rate by tenant
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- `vmselect`
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* `vm_tenant_select_requests_duration_ms_total` - query latency by tenant. It can be useful to identify the tenant with the heaviest queries
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* `vm_tenant_select_requests_total` - total requests. You can calculate request rate (qps) with this metric
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* `vm_tenant_select_requests_duration_ms_total` - query latency.
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Helps to identify tenants with the heaviest queries.
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* `vm_tenant_select_requests_total` - total number of requests.
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Discover which tenant sends the most of the queries and how it changes with time.
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- `vmstorage`
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* `vm_tenant_active_timeseries` - the number of active timeseries
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* `vm_tenant_used_tenant_bytes` - the disk space consumed by the metrics for a particular tenant
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* `vm_tenant_timeseries_created_total` - the total number for timeseries by tenant
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* `vm_tenant_active_timeseries` - number of active time series.
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This metric correlates with memory usage, so can be used to find the most expensive
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tenant in terms of memory.
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* `vm_tenant_used_tenant_bytes` - disk space usage. Helps to track disk space usage
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per tenant.
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* `vm_tenant_timeseries_created_total` - number of new time series created. Helps to track
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the churn rate per tenant, or identify inefficient usage of the system.
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Collect the metrics by any scrape agent you like (`vmagent`, `victoriametrics`, Prometheus, etc) and put into TSDB.
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It is ok to use existing cluster for storing such metrics, but make sure to use a different tenant for it to avoid collisions.
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Or just run a separate TSDB (VM single, Promethes, etc.) to keep the data isolated from the main cluster.
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The information should be scraped by the agent (`vmagent`, `victoriametrics`, prometheus, etc) and stored in the TSDB. This can be the same cluster but a different tenant however, we encourage the use of one more instance of TSDB (more lightweight, eg. VM single) for the monitoring of monitoring.
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the config example for statistic scraping
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Example of the scraping configuration for statistic is the following:
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```yaml
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scrape_configs:
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- targets: ['vmselect:8481','vmstorage:8482','vminsert:8480']
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```
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### Visualization
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## Visualization
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Visualisation of statistics can be done in Grafana using this dashboard [link](https://github.com/VictoriaMetrics/VictoriaMetrics/tree/cluster/dashboards/clusterbytenant.json)
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Visualisation of statistics can be done in Grafana using the following
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[dashboard](https://github.com/VictoriaMetrics/VictoriaMetrics/tree/cluster/dashboards/clusterbytenant.json).
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### Integration with vmgateway
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## Integration with vmgateway
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Per Tenant Statistics are the source data for the `vmgateway` rate limiter. More information can be found [here](https://docs.victoriametrics.com/vmgateway.html)
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`vmgateway` supports integration with Per Tenant Statistics data for rate limiting purposes.
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More information can be found [here](https://docs.victoriametrics.com/vmgateway.html)
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### Integration with vmalert
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## Integration with vmalert
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You can generate alerts based on each tenants' resource usage and notify the system/users that they are reaching the limits.
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You can generate alerts based on each tenant's resource usage and send notifications
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to prevent limits exhaustion.
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Here is an example of an alert for high churn rate by the tenant
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Here is an alert example for high churn rate by the tenant:
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```yaml
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