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91 lines
3.3 KiB
Markdown
91 lines
3.3 KiB
Markdown
---
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sort: 19
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weight: 19
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title: VictoriaMetrics Cluster Per Tenant Statistic
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menu:
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docs:
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parent: "victoriametrics"
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weight: 19
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aliases:
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- /PerTenantStatistic.html
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---
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# VictoriaMetrics Cluster Per Tenant Statistic
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***The per-tenant statistic is a part of [enterprise package](https://docs.victoriametrics.com/enterprise.html). It is available for download and evaluation at [releases page](https://github.com/VictoriaMetrics/VictoriaMetrics/releases)***
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<img alt="cluster-per-tenant-stat" src="PerTenantStatistic-stats.jpg">
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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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- `vmselect`
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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` - 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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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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- job_name: cluster
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scrape_interval: 10s
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static_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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Visualisation of statistics can be done in Grafana using the following
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[dashboard](https://grafana.com/grafana/dashboards/16399-victoriametrics-cluster-per-tenant-statistic/).
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## Integration with vmgateway
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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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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 alert example for high churn rate by the tenant:
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{% raw %}
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```yaml
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- alert: TooHighChurnRate
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expr: |
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(
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sum(rate(vm_tenant_timeseries_created_total[5m])) by(accountID,projectID)
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/
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sum(rate(vm_tenant_inserted_rows_total[5m])) by(accountID,projectID)
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) > 0.1
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for: 15m
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labels:
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severity: warning
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annotations:
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summary: "Churn rate is more than 10% for the last 15m"
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description: "VM constantly creates new time series in the tenant: {{ $labels.accountID }}:{{ $labels.projectID }}.\n
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This effect is known as Churn Rate.\n
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High Churn Rate is tightly connected with database performance and may
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result in unexpected OOM's or slow queries."
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```
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{% endraw %}
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