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## VictoriaMetrics Cluster Per Tenant Statistic

<img alt="cluster-per-tenant-stat" src="per-tenant-stats.jpg">

The enterprise version of VictoriaMetrics cluster exposes the usage statistics for each tenant.

When the next statistic is exposed:

- `vminsert`

    * `vm_tenant_inserted_rows_total` -  the ingestion rate by tenant
- `vmselect`

    * `vm_tenant_select_requests_duration_ms_total` -  query latency by tenant. It can be useful to identify the tenant with the heaviest queries
    * `vm_tenant_select_requests_total` - total requests. You can calculate request rate (qps) with this metric

- `vmstorage`
    * `vm_tenant_active_timeseries`  - the number of active timeseries
    * `vm_tenant_used_tenant_bytes` - the disk space consumed by the metrics for a particular tenant
    * `vm_tenant_timeseries_created_total` - the total number for timeseries by tenant


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.

the config example for statistic scraping

```yaml
scrape_configs:
  - job_name: cluster
    scrape_interval: 10s
    static_configs:
    - targets: ['vmselect:8481','vmstorage:8482','vminsert:8480']
```

### Visualization

Visualisation of statistics can be done in Grafana using this dashboard [link](https://github.com/VictoriaMetrics/VictoriaMetrics/tree/cluster/dashboards/clusterbytenant.json)


### Integration with vmgateway

Per Tenant Statistics are the source data for the `vmgateway` rate limiter. More information can be found [here](https://victoriametrics.github.io/vmgateway.html)

### Integration with vmalert

You can generate alerts based on each tenants' resource usage and notify the system/users that they are reaching the limits.

Here is an example of an alert for high churn rate by the tenant

```yaml

- alert: TooHighChurnRate
  expr: |
    (
    sum(rate(vm_tenant_timeseries_created_total[5m])) by(accountID,projectID)
    /
    sum(rate(vm_tenant_inserted_rows_total[5m])) by(accountID,projectID)
    ) > 0.1
  for: 15m
  labels:
    severity: warning
  annotations:
    summary: "Churn rate is more than 10% for the last 15m"
    description: "VM constantly creates new time series in the tenant: {{ $labels.accountID }}:{{ $labels.projectID }}.\n
            This effect is known as Churn Rate.\n
            High Churn Rate is tightly connected with database performance and may
            result in unexpected OOM's or slow queries."
```