This is a cache of https://docs.openshift.com/container-platform/4.11/distr_tracing/distr_tracing_tempo/distr-tracing-tempo-installing.html. It is a snapshot of the page at 2024-11-22T15:08:08.024+0000.
Installation - Distributed tracing platform (Tempo) | Distributed tracing | OpenShift Container Platform 4.11
    OpenShift docs are moving and will soon only be available at docs.redhat.com, the home of all Red Hat product documentation. Explore the new docs experience today.
  1. Documentation
    2. history
×

Installing the distributed tracing platform (Tempo)

Installing the distributed tracing platform (Tempo) involves the following steps:

  1. Setting up supported object storage.

  2. Installing the Tempo Operator.

  3. Creating a secret for the object storage credentials.

  4. Creating a namespace for a TempoStack instance.

  5. Creating a TempoStack custom resource to deploy at least one TempoStack instance.

Object storage setup

You can use the following configuration parameters when setting up a supported object storage.

Table 1. Required secret parameters
Storage provider Secret parameters

Red Hat OpenShift Data Foundation

name: tempostack-dev-odf # example

bucket: <bucket_name> # requires an ObjectBucketClaim

endpoint: https://s3.openshift-storage.svc

access_key_id: <data_foundation_access_key_id>

access_key_secret: <data_foundation_access_key_secret>

MinIO

See MinIO Operator.

name: tempostack-dev-minio # example

bucket: <minio_bucket_name> # MinIO documentation

endpoint: <minio_bucket_endpoint>

access_key_id: <minio_access_key_id>

access_key_secret: <minio_access_key_secret>

Amazon S3

name: tempostack-dev-s3 # example

bucket: <s3_bucket_name> # Amazon S3 documentation

endpoint: <s3_bucket_endpoint>

access_key_id: <s3_access_key_id>

access_key_secret: <s3_access_key_secret>

Microsoft Azure Blob Storage

name: tempostack-dev-azure # example

container: <azure_blob_storage_container_name> # Microsoft Azure documentation

account_name: <azure_blob_storage_account_name>

account_key: <azure_blob_storage_account_key>

Google Cloud Storage on Google Cloud Platform (GCP)

name: tempostack-dev-gcs # example

bucketname: <google_cloud_storage_bucket_name> # requires a bucket created in a GCP project

key.json: <path/to/key.json> # requires a service account in the bucket’s GCP project for GCP authentication

Installing the distributed tracing platform (Tempo) from the web console

You can install the distributed tracing platform (Tempo) from the Administrator view of the web console.

Prerequisites
Procedure

  1. Install the Tempo Operator:

    1. Go to Operators → OperatorHub and search for Tempo Operator.

    2. Select the Tempo Operator that is OpenShift Operator for Tempo → Install → Install → View Operator.

      This installs the Operator with the default presets:

      • Update channel → stable

      • Installation mode → All namespaces on the cluster

      • Installed Namespace → openshift-tempo-operator

      • Update approval → Automatic

    3. In the Details tab of the page of the installed Operator, under ClusterServiceVersion details, verify that the installation Status is Succeeded.

  2. Create a project of your choice for the TempoStack instance that you will create in a subsequent step: go to Home → Projects → Create Project.

  3. In the project that you created for the TempoStack instance, create a secret for your object storage bucket: go to Workloads → Secrets → Create → From YAML.

    Example secret for Amazon S3 and MinIO storage
    apiVersion: v1
kind: Secret
metadata:
  name: minio-test
stringData:
  endpoint: http://minio.minio.svc:9000
  bucket: tempo
  access_key_id: tempo
  access_key_secret: <secret>
type: Opaque

  4. Create a TempoStack instance.

    You can create multiple TempoStack instances in separate projects on the same cluster.

    1. Go to Operators → Installed Operators.

    2. Select TempoStack → Create TempoStack → YAML view.

    3. In the YAML view, customize the TempoStack custom resource (CR):

      apiVersion: tempo.grafana.com/v1alpha1
kind: TempoStack
metadata:
  name: sample
  namespace: <project_of_tempostack_instance>
spec:
  storageSize: 1Gi
  storage:
    secret:
      name: <secret-name> (1)
      type: <secret-provider> (2)
  template:
    queryFrontend:
      jaegerQuery:
        enabled: true
        ingress:
          route:
            termination: edge
          type: route
      1 The value of the name in the metadata of the secret.
      2 The accepted values are azure for Azure Blob Storage; gcs for Google Cloud Storage; and s3 for Amazon S3, MinIO, or Red Hat OpenShift Data Foundation.
      Example of a TempoStack CR for AWS S3 and MinIO storage
      apiVersion: tempo.grafana.com/v1alpha1
kind: TempoStack
metadata:
  name: simplest
  namespace: <project_of_tempostack_instance>
spec:
  storageSize: 1Gi
  storage:
    secret:
      name: minio-test
      type: s3
  resources:
    total:
      limits:
        memory: 2Gi
        cpu: 2000m
  template:
    queryFrontend:
      jaegerQuery:
        enabled: true
        ingress:
          route:
            termination: edge
          type: route

      The stack deployed in this example is configured to receive Jaeger Thrift over HTTP and OpenTelemetry Protocol (OTLP), which permits visualizing the data with the Jaeger UI.

    4. Select Create.

Verification

  1. Use the Project: dropdown list to select the project of the TempoStack instance.

  2. Go to Operators → Installed Operators to verify that the Status of the TempoStack instance is Condition: Ready.

  3. Go to Workloads → Pods to verify that all the component pods of the TempoStack instance are running.

  4. Access the Tempo console:

    1. Go to Networking → routes and Ctrl+F to search for tempo.

    2. In the Location column, open the URL to access the Tempo console.

    3. Select Log In With OpenShift to use your cluster administrator credentials for the web console.

      The Tempo console initially shows no trace data following the Tempo console installation.

Installing the distributed tracing platform (Tempo) by using the CLI

You can install the distributed tracing platform (Tempo) from the command line.

Prerequisites
Procedure

  1. Install the Tempo Operator:

    1. Create a project for the Tempo Operator by running the following command:

      $ oc apply -f - << EOF
apiVersion: project.openshift.io/v1
kind: Project
metadata:
  labels:
    kubernetes.io/metadata.name: openshift-tempo-operator
    openshift.io/cluster-monitoring: "true"
  name: openshift-tempo-operator
EOF

    2. Create an Operator group by running the following command:

      $ oc apply -f - << EOF
apiVersion: operators.coreos.com/v1
kind: OperatorGroup
metadata:
  name: openshift-tempo-operator
  namespace: openshift-tempo-operator
spec:
  upgradeStrategy: Default
EOF

    3. Create a subscription by running the following command:

      $ oc apply -f - << EOF
apiVersion: operators.coreos.com/v1alpha1
kind: Subscription
metadata:
  name: tempo-product
  namespace: openshift-tempo-operator
spec:
  channel: stable
  installPlanApproval: Automatic
  name: tempo-product
  source: redhat-operators
  sourceNamespace: openshift-marketplace
EOF

    4. Check the operator status by running the following command:

      $ oc get csv -n openshift-tempo-operator

  2. Run the following command to create a project of your choice for the TempoStack instance that you will create in a subsequent step:

    $ oc apply -f - << EOF
apiVersion: project.openshift.io/v1
kind: Project
metadata:
  name: <project_of_tempostack_instance>
EOF

  3. In the project that you created for the TempoStack instance, create a secret for your object storage bucket by running the following command:

    $ oc apply -f - << EOF
<object_storage_secret>
EOF
    Example secret for Amazon S3 and MinIO storage
    apiVersion: v1
kind: Secret
metadata:
  name: minio-test
stringData:
  endpoint: http://minio.minio.svc:9000
  bucket: tempo
  access_key_id: tempo
  access_key_secret: <secret>
type: Opaque

  4. Create a TempoStack instance in the project that you created for the TempoStack instance.

    You can create multiple TempoStack instances in separate projects on the same cluster.

    1. Customize the TempoStack custom resource (CR):

      apiVersion: tempo.grafana.com/v1alpha1
kind: TempoStack
metadata:
  name: sample
  namespace: <project_of_tempostack_instance>
spec:
  storageSize: 1Gi
  storage:
      secret:
          name: <secret-name> (1)
          type: <secret-provider> (2)
  template:
    queryFrontend:
      jaegerQuery:
        enabled: true
        ingress:
          route:
            termination: edge
          type: route
      1 The value of the name in the metadata of the secret.
      2 The accepted values are azure for Azure Blob Storage; gcs for Google Cloud Storage; and s3 for Amazon S3, MinIO, or Red Hat OpenShift Data Foundation.
      Example of a TempoStack CR for AWS S3 and MinIO storage
      apiVersion: tempo.grafana.com/v1alpha1
kind: TempoStack
metadata:
  name: simplest
  namespace: project_of_tempostack_instance
spec:
  storageSize: 1Gi
  storage:
    secret:
      name: minio-test
      type: s3
  resources:
    total:
      limits:
        memory: 2Gi
        cpu: 2000m
  template:
    queryFrontend:
      jaegerQuery:
        enabled: true
        ingress:
          route:
            termination: edge
          type: route

      The stack deployed in this example is configured to receive Jaeger Thrift over HTTP and OpenTelemetry Protocol (OTLP), which permits visualizing the data with the Jaeger UI.

    2. Apply the customized CR by running the following command.

      $ oc apply -f - << EOF
<TempoStack_custom_resource>
EOF
Verification

  1. Verify that the status of all TempoStack components is Running and the conditions are type: Ready by running the following command:

    $ oc get tempostacks.tempo.grafana.com simplest -o yaml

  2. Verify that all the TempoStack component pods are running by running the following command:

    $ oc get pods

  3. Access the Tempo console:

    1. Query the route details by running the following command:

      $ export TEMPO_URL=$(oc get route -n <control_plane_namespace> tempo -o jsonpath='{.spec.host}')

    2. Open https://<route_from_previous_step> in a web browser.

    3. Log in using your cluster administrator credentials for the web console.

      The Tempo console initially shows no trace data following the Tempo console installation.

Additional resources