-
Notifications
You must be signed in to change notification settings - Fork 50
Observability
If you have deployed to a DOKS (Digital Ocean Kubernetes, see deployment instructions) you can make use of their Kubernetes Monitoring Stack available from the Marketplace. This will deploy Prometheus Operator, Grafana and Alertmanager.
By default only Prometheus is configured as a data source in Grafana. You can add a PostgreSQL
data source so that you can query the database directly from Grafana. Use the database connection
credentials from your PostgresSQL instance and provide a CA certificate if necessary
(choose verify-ca
as 'TLS/SSL Mode' and supply the certificate into 'TLS/SSL Root Certificate').
It is recommended to use a database user with read-only permissions.
Documentation: https://grafana.com/docs/grafana/latest/datasources/postgres
You can add additional monitoring targets by following the instructions here. A more in-depth explanation is available here.
To update the kube-prometheus-stack
helm Chart with your additional service monitor configuration
you can use the following command:
helm upgrade kube-prometheus-stack prometheus-community/kube-prometheus-stack \
--version <HELM_CHART_VERSION> --namespace kube-prometheus-stack -f prometheus-values-<environment>.yml
where HELM_CHART_VERSION
matches the currently deployed version of your kube-prometheus-stack
Chart and environment
is one of dev, staging or prod.
The current values.yml
of the deployed Chart can be retrieved with:
helm get values -n kube-prometheus-stack kube-prometheus-stack
You can uninstall the monitoring stack with
helm uninstall kube-prometheus-stack -n kube-prometheus-stack
kubectl delete ns kube-prometheus-stack
Additionally, the corresponding CRDs need to be deleted as documented in https://github.com/prometheus-community/helm-charts/blob/main/charts/kube-prometheus-stack/README.md#uninstall-helm-chart.
- Home
- Installation
- Domain Object Model
- API
- Design
- Localization and translations
- Architecture
-
Testing guide
- API testing (TBD)
- Frontend testing
- E2E testing (TBD)
- Deployment
- Debugging