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Getting Started

grafanacloudprometheus
These instructions are for the Grafana Cloud managed Prometheus service. If you run a self hosted Prometheus instance, please follow the instructions on the Prometheus page.
You can use Grafana Cloud managed service as a backend for Odigos to store your logs, metrics, and traces. This page describes how to configure Odigos to use Grafana Cloud Prometheus as a metrics backend. All the connection details can be found at grafana.com under My Account
Grafana labs website
Then, under the “GRAFANA CLOUD” title, select your Grafana Stuck, browser to the “Prometheus” card and click “Send Metrics”
Prometheus managed service configuration
Resource Attributes as Metrics Labels To use resource attributes as labels in your data points, you can set the resource attribute names in the Resource Attributes as Labels multi-input config option in the destination page in the Odigos UI. Cluster Static Labels You can set static labels for each metric data pointsent exported to Grafana Cloud Prometheus from the cluster by setting the External Labels configuration with lable keys and values.

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Configuring Destination Fields

  • GRAFANA_CLOUD_PROMETHEUS_RW_ENDPOINT string : Prometheus Remote Write Endpoint. This is the URL of the Prometheus service. From the grafana cloud UI, Prometheus page, make sure you copy the URL from “Remote Write Endpoint” section, and not the first Endpoint which is used for queries
    • This field is required
    • Example: https://{hostname}.grafana.net/api/prom/push
  • GRAFANA_CLOUD_PROMETHEUS_USERNAME string : Username / Instance ID. You can find the Username / Instance ID on the Prometheus page. Value is a number.
    • This field is required
    • Example: 12345678
  • GRAFANA_CLOUD_PROMETHEUS_PASSWORD string : Password / Api Token. This field is refered to as “password” or “Grafana.com API Token” in the Grafana Cloud UI. You can manage tokens in your “Account Settings” page under the “SECURITY” section in the “Access Policies” page. Make sure your token scope includes metrics:write scope.
    • This field is required
    • Example: glc_eyJvIj...
  • PROMETHEUS_RESOURCE_ATTRIBUTES_LABELS string[] : Resource Attributes Labels. use these OpenTelemetry resource attributes as prometheus labels for each metric data point
    • This field is optional and defaults to ["k8s.container.name", "k8s.pod.name", "k8s.namespace.name"]
  • PROMETHEUS_RESOURCE_EXTERNAL_LABELS { key: string; value: string; }[] : External Labels. map of labels names and values to be attached to each metric data point
    • This field is optional

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Adding Destination to Odigos

There are two primary methods for configuring destinations in Odigos:
Using the UI
1

Use the Odigos CLI to access the UI
odigos ui
2

Click on Add Destination, select Grafana Cloud Prometheus and follow the on-screen instructions
Using Kubernetes manifests
1

Save the YAML below to a file (e.g. grafanacloudprometheus.yaml)
apiVersion: odigos.io/v1alpha1
kind: Destination
metadata:
  name: grafanacloudprometheus-example
  namespace: odigos-system
spec:
  data:
    GRAFANA_CLOUD_PROMETHEUS_RW_ENDPOINT: <Prometheus Remote Write Endpoint>
    GRAFANA_CLOUD_PROMETHEUS_USERNAME: <Username / Instance ID>
    # Note: The commented fields below are optional.
    # PROMETHEUS_RESOURCE_ATTRIBUTES_LABELS: <Resource Attributes Labels (default: ["k8s.container.name", "k8s.pod.name", "k8s.namespace.name"])>
    # PROMETHEUS_RESOURCE_EXTERNAL_LABELS: <External Labels>
  destinationName: grafanacloudprometheus
  secretRef:
    name: grafanacloudprometheus-secret
  signals:
  - METRICS
  type: grafanacloudprometheus

---

apiVersion: v1
data:
  GRAFANA_CLOUD_PROMETHEUS_PASSWORD: <Base64 Password / Api Token>
kind: Secret
metadata:
  name: grafanacloudprometheus-secret
  namespace: odigos-system
type: Opaque
2

Apply the YAML using kubectl
kubectl apply -f grafanacloudprometheus.yaml