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Getting Started

grafanacloudtempo
These instructions are for the Grafana Cloud managed Tempo service. If you run a self hosted Tempo instance, please follow the instructions on the Tempo 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 Tempo as a trace 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 “Tempo” card and click “Send Traces”
Tempo managed service configuration

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Configuring Destination Fields

✅ Traces ❌ Metrics ❌ Logs
  • GRAFANA_CLOUD_TEMPO_ENDPOINT string : Endpoint. This is the URL of the Tempo service, in the form of host:port. You can find the endpoint under the “Sending data to Tempo” section.
    • This field is required
    • Example: tempo-us-central1.grafana.net:443
  • GRAFANA_CLOUD_TEMPO_USERNAME string : Username. You can find the username in the “Sending data to Tempo” section under the “basic_auth” yaml field. The username is a number.
    • This field is required
  • GRAFANA_CLOUD_TEMPO_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 traces:write scope.
    • This field is required
    • Example: glc_eyJvIj...

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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 Tempo and follow the on-screen instructions
Using Kubernetes manifests
1

Save the YAML below to a file (e.g. grafanacloudtempo.yaml)
apiVersion: odigos.io/v1alpha1
kind: Destination
metadata:
  name: grafanacloudtempo-example
  namespace: odigos-system
spec:
  data:
    GRAFANA_CLOUD_TEMPO_ENDPOINT: <Endpoint>
    GRAFANA_CLOUD_TEMPO_USERNAME: <Username>
  destinationName: grafanacloudtempo
  secretRef:
    name: grafanacloudtempo-secret
  signals:
  - TRACES
  type: grafanacloudtempo

---

apiVersion: v1
data:
  GRAFANA_CLOUD_TEMPO_PASSWORD: <Base64 Password (Api Token)>
kind: Secret
metadata:
  name: grafanacloudtempo-secret
  namespace: odigos-system
type: Opaque
2

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