Enabling multi-cluster support (optional)
The Kube Prometheus Helm chart offers some support for multi-cluster use cases. You may need to adjust some dashboard panels, recording rules, and alerting rules for your specific architecture. These adjustments go beyond the scope of this guide.
cluster label to rule aggregations
If you want to modify recording and alerting rules to aggregate metrics over a
cluster label, you can use cortex-tools’s
rules prepare command to add a
cluster label to a set of recording and alerting rules. You can modify the aggregation label using the
-l flag. The default label is
cluster. If you use this command, ensure that you’ve set the corresponding aggregation label using
external_labels in your Prometheus configuration (in this guide, we’ve already set this to
Extract the rules from the Prometheus container as demonstrated in Step 1 of Importing Recording and Alerting rules and run the following command in the directory containing the rules files:
mimirtool rules prepare -i *.yaml
-i flag will modify the rules files in place. You can omit this flag to test the command. This command modifies many rules to keep or add a
cluster label to aggregations, which enables multi-cluster support.
You will then need to load the rules into Grafana Cloud Alerting. To learn more, see Step 2 of Importing Recording and Alerting rules.
Enable dashboard multi-cluster support
values.yaml Helm chart configuration file to enable multi-cluster support for Grafana dashboards:
. . . grafana: sidecar: dashboards: multicluster: true
Roll out the changes using
helm upgrade -f values.yaml your_release_name prometheus-community/kube-prometheus-stack
To learn more, please see the Kube Prometheus Helm chart’s
You will need to repeat Step 3 of Migrating a Kube-Prometheus Helm stack to Grafana Cloud to import these modified dashboards to Grafana Cloud.
Related Grafana Cloud resources
How to set up and visualize synthetic monitoring at scale with Grafana Cloud
Learn how to use Kubernetes, Grafana Loki, and Grafana Cloud’s synthetic monitoring feature to set up your infrastructure's checks in this GrafanaCONline session.
Using Grafana Cloud to drive manufacturing plant efficiency
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