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Chapter 3. Distributed tracing platform (Tempo)


3.1. Installing

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

  1. Installing the Tempo Operator.
  2. Setting up a supported object store and creating a secret for the object store credentials.
  3. Configuring the permissions and tenants.
  4. Depending on your use case, installing your choice of deployment:

    • Microservices-mode TempoStack instance
    • Monolithic-mode TempoMonolithic instance

3.1.1. Installing the Tempo Operator

You can install the Tempo Operator by using the web console or the command line.

3.1.1.1. Installing the Tempo Operator by using the web console

You can install the Tempo Operator from the Administrator view of the web console.

Prerequisites

  • You are logged in to the OpenShift Container Platform web console as a cluster administrator with the cluster-admin role.
  • For Red Hat OpenShift Dedicated, you must be logged in using an account with the dedicated-admin role.
  • You have completed setting up the required object storage by a supported provider: Red Hat OpenShift Data Foundation, MinIO, Amazon S3, Azure Blob Storage, Google Cloud Storage. For more information, see "Object storage setup".

    Warning

    Object storage is required and not included with the distributed tracing platform (Tempo). You must choose and set up object storage by a supported provider before installing the distributed tracing platform (Tempo).

Procedure

  1. Go to Operators OperatorHub and search for Tempo Operator.
  2. Select the Tempo Operator that is provided by Red Hat.

    Important

    The following selections are the default presets for this Operator:

    • Update channel stable
    • Installation mode All namespaces on the cluster
    • Installed Namespace openshift-tempo-operator
    • Update approval Automatic
  3. Select the Enable Operator recommended cluster monitoring on this Namespace checkbox.
  4. Select Install Install View Operator.

Verification

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

3.1.1.2. Installing the Tempo Operator by using the CLI

You can install the Tempo Operator from the command line.

Prerequisites

  • An active OpenShift CLI (oc) session by a cluster administrator with the cluster-admin role.

    Tip
    • Ensure that your OpenShift CLI (oc) version is up to date and matches your OpenShift Container Platform version.
    • Run oc login:

      $ oc login --username=<your_username>
  • You have completed setting up the required object storage by a supported provider: Red Hat OpenShift Data Foundation, MinIO, Amazon S3, Azure Blob Storage, Google Cloud Storage. For more information, see "Object storage setup".

    Warning

    Object storage is required and not included with the distributed tracing platform (Tempo). You must choose and set up object storage by a supported provider before installing the distributed tracing platform (Tempo).

Procedure

  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

Verification

  • Check the Operator status by running the following command:

    $ oc get csv -n openshift-tempo-operator

3.1.2. Object storage setup

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

Important

Using object storage requires setting up a supported object store and creating a secret for the object store credentials before deploying a TempoStack or TempoMonolithic instance.

Table 3.1. 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>

Amazon S3 with Security Token Service (STS)

name: tempostack-dev-s3 # example

bucket: <s3_bucket_name> # Amazon S3 documentation

region: <s3_region>

role_arn: <s3_role_arn>

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

3.1.2.1. Setting up the Amazon S3 storage with the Security Token Service

You can set up the Amazon S3 storage with the Security Token Service (STS) by using the AWS Command Line Interface (AWS CLI).

Important

The Amazon S3 storage with the Security Token Service is a Technology Preview feature only. Technology Preview features are not supported with Red Hat production service level agreements (SLAs) and might not be functionally complete. Red Hat does not recommend using them in production. These features provide early access to upcoming product features, enabling customers to test functionality and provide feedback during the development process.

For more information about the support scope of Red Hat Technology Preview features, see Technology Preview Features Support Scope.

Prerequisites

  • You have installed the latest version of the AWS CLI.

Procedure

  1. Create an AWS S3 bucket.
  2. Create the following trust.json file for the AWS IAM policy that will set up a trust relationship for the AWS IAM role, created in the next step, with the service account of the TempoStack instance:

    {
        "Version": "2012-10-17",
        "Statement": [
          {
            "Effect": "Allow",
            "Principal": {
              "Federated": "arn:aws:iam::${<aws_account_id>}:oidc-provider/${<oidc_provider>}" 1
            },
            "Action": "sts:AssumeRoleWithWebIdentity",
            "Condition": {
              "StringEquals": {
                "${OIDC_PROVIDER}:sub": [
                  "system:serviceaccount:${<openshift_project_for_tempostack>}:tempo-${<tempostack_cr_name>}" 2
                  "system:serviceaccount:${<openshift_project_for_tempostack>}:tempo-${<tempostack_cr_name>}-query-frontend"
               ]
             }
           }
         }
        ]
    }
    1
    OIDC provider that you have configured on the OpenShift Container Platform. You can get the configured OIDC provider value also by running the following command: $ oc get authentication cluster -o json | jq -r '.spec.serviceAccountIssuer' | sed 'shttp[s]*://~g'.
    2
    Namespace in which you intend to create the TempoStack instance.
  3. Create an AWS IAM role by attaching the trust.json policy file that you created:

    $ aws iam create-role \
          --role-name "tempo-s3-access" \
          --assume-role-policy-document "file:///tmp/trust.json" \
          --query Role.Arn \
          --output text
  4. Attach an AWS IAM policy to the created role:

    $ aws iam attach-role-policy \
          --role-name "tempo-s3-access" \
          --policy-arn "arn:aws:iam::aws:policy/AmazonS3FullAccess"
  5. In the OpenShift Container Platform, create an object storage secret with keys as follows:

    apiVersion: v1
    kind: Secret
    metadata:
      name: minio-test
    stringData:
      bucket: <s3_bucket_name>
      region: <s3_region>
      role_arn: <s3_role_arn>
    type: Opaque

3.1.2.2. Setting up IBM Cloud Object Storage

You can set up IBM Cloud Object Storage by using the OpenShift CLI (oc).

Prerequisites

  • You have installed the latest version of OpenShift CLI (oc). For more information, see "Getting started with the OpenShift CLI" in Configure: CLI tools.
  • You have installed the latest version of IBM Cloud Command Line Interface (ibmcloud). For more information, see "Getting started with the IBM Cloud CLI" in IBM Cloud Docs.
  • You have configured IBM Cloud Object Storage. For more information, see "Choosing a plan and creating an instance" in IBM Cloud Docs.

    • You have an IBM Cloud Platform account.
    • You have ordered an IBM Cloud Object Storage plan.
    • You have created an instance of IBM Cloud Object Storage.

Procedure

  1. On IBM Cloud, create an object store bucket.
  2. On IBM Cloud, create a service key for connecting to the object store bucket by running the following command:

    $ ibmcloud resource service-key-create <tempo_bucket> Writer \
      --instance-name <tempo_bucket> --parameters '{"HMAC":true}'
  3. On IBM Cloud, create a secret with the bucket credentials by running the following command:

    $ oc -n <namespace> create secret generic <ibm_cos_secret> \
      --from-literal=bucket="<tempo_bucket>" \
      --from-literal=endpoint="<ibm_bucket_endpoint>" \
      --from-literal=access_key_id="<ibm_bucket_access_key>" \
      --from-literal=access_key_secret="<ibm_bucket_secret_key>"
  4. On OpenShift Container Platform, create an object storage secret with keys as follows:

    apiVersion: v1
    kind: Secret
    metadata:
      name: <ibm_cos_secret>
    stringData:
      bucket: <tempo_bucket>
      endpoint: <ibm_bucket_endpoint>
      access_key_id: <ibm_bucket_access_key>
      access_key_secret: <ibm_bucket_secret_key>
    type: Opaque
  5. On OpenShift Container Platform, set the storage section in the TempoStack custom resource as follows:

    apiVersion: tempo.grafana.com/v1alpha1
    kind: TempoStack
    # ...
    spec:
    # ...
      storage:
        secret:
          name: <ibm_cos_secret> 1
          type: s3
    # ...
    1
    Name of the secret that contains the IBM Cloud Storage access and secret keys.

3.1.3. Configuring the permissions and tenants

Before installing a TempoStack or TempoMonolithic instance, you must define one or more tenants and configure their read and write access. You can configure such an authorization setup by using a cluster role and cluster role binding for the Kubernetes Role-Based Access Control (RBAC). By default, no users are granted read or write permissions. For more information, see "Configuring the read permissions for tenants" and "Configuring the write permissions for tenants".

Note

The OpenTelemetry Collector of the Red Hat build of OpenTelemetry can send trace data to a TempoStack or TempoMonolithic instance by using the service account with RBAC for writing the data.

Table 3.2. Authentication and authorization
ComponentTempo Gateway serviceOpenShift OAuthTokenReview APISubjectAccessReview API

Authentication

X

X

X

 

Authorization

X

  

X

3.1.3.1. Configuring the read permissions for tenants

You can configure the read permissions for tenants from the Administrator view of the web console or from the command line.

Prerequisites

  • You are logged in to the OpenShift Container Platform web console as a cluster administrator with the cluster-admin role.
  • For Red Hat OpenShift Dedicated, you must be logged in using an account with the dedicated-admin role.

Procedure

  1. Define the tenants by adding the tenantName and tenantId parameters with your values of choice to the TempoStack custom resource (CR):

    Tenant example in a TempoStack CR

    apiVersion: tempo.grafana.com/v1alpha1
    kind: TempoStack
    metadata:
      name: redmetrics
    spec:
    # ...
      tenants:
        mode: openshift
        authentication:
          - tenantName: dev 1
            tenantId: "1610b0c3-c509-4592-a256-a1871353dbfa" 2
    # ...

    1
    A tenantName value of the user’s choice.
    2
    A tenantId value of the user’s choice.
  2. Add the tenants to a cluster role with the read (get) permissions to read traces.

    Example RBAC configuration in a ClusterRole resource

    apiVersion: rbac.authorization.k8s.io/v1
    kind: ClusterRole
    metadata:
      name: tempostack-traces-reader
    rules:
      - apiGroups:
          - 'tempo.grafana.com'
        resources: 1
          - dev
          - prod
        resourceNames:
          - traces
        verbs:
          - 'get' 2

    1
    Lists the tenants, dev and prod in this example, which are defined by using the tenantName parameter in the previous step.
    2
    Enables the read operation for the listed tenants.
  3. Grant authenticated users the read permissions for trace data by defining a cluster role binding for the cluster role from the previous step.

    Example RBAC configuration in a ClusterRoleBinding resource

    apiVersion: rbac.authorization.k8s.io/v1
    kind: ClusterRoleBinding
    metadata:
      name: tempostack-traces-reader
    roleRef:
      apiGroup: rbac.authorization.k8s.io
      kind: ClusterRole
      name: tempostack-traces-reader
    subjects:
      - kind: Group
        apiGroup: rbac.authorization.k8s.io
        name: system:authenticated 1

    1
    Grants all authenticated users the read permissions for trace data.

3.1.3.2. Configuring the write permissions for tenants

You can configure the write permissions for tenants from the Administrator view of the web console or from the command line.

Prerequisites

  • You are logged in to the OpenShift Container Platform web console as a cluster administrator with the cluster-admin role.
  • For Red Hat OpenShift Dedicated, you must be logged in using an account with the dedicated-admin role.
  • You have installed the OpenTelemetry Collector and configured it to use an authorized service account with permissions. For more information, see "Creating the required RBAC resources automatically" in the Red Hat build of OpenTelemetry documentation.

Procedure

  1. Create a service account for use with OpenTelemetry Collector.

    apiVersion: v1
    kind: ServiceAccount
    metadata:
      name: otel-collector
      namespace: <project_of_opentelemetry_collector_instance>
  2. Add the tenants to a cluster role with the write (create) permissions to write traces.

    Example RBAC configuration in a ClusterRole resource

    apiVersion: rbac.authorization.k8s.io/v1
    kind: ClusterRole
    metadata:
      name: tempostack-traces-write
    rules:
      - apiGroups:
          - 'tempo.grafana.com'
        resources: 1
          - dev
        resourceNames:
          - traces
        verbs:
          - 'create' 2

    1
    Lists the tenants.
    2
    Enables the write operation.
  3. Grant the OpenTelemetry Collector the write permissions by defining a cluster role binding to attach the OpenTelemetry Collector service account.

    Example RBAC configuration in a ClusterRoleBinding resource

    apiVersion: rbac.authorization.k8s.io/v1
    kind: ClusterRoleBinding
    metadata:
      name: tempostack-traces
    roleRef:
      apiGroup: rbac.authorization.k8s.io
      kind: ClusterRole
      name: tempostack-traces-write
    subjects:
      - kind: ServiceAccount
        name: otel-collector 1
        namespace: otel

    1
    The service account that you created in a previous step. The client uses it when exporting trace data.
  4. Configure the OpenTelemetryCollector custom resource as follows:

    • Add the bearertokenauth extension and a valid token to the tracing pipeline service.
    • Add the tenant name in the otlp/otlphttp exporters as the X-Scope-OrgID headers.
    • Enable TLS with a valid certificate authority file.

      Sample OpenTelemetry CR configuration

      apiVersion: opentelemetry.io/v1beta1
      kind: OpenTelemetryCollector
      metadata:
        name: cluster-collector
        namespace: <project_of_tempostack_instance>
      spec:
        mode: deployment
        serviceAccount: otel-collector 1
        config: |
            extensions:
              bearertokenauth: 2
                filename: "/var/run/secrets/kubernetes.io/serviceaccount/token" 3
            exporters:
              otlp/dev: 4
                endpoint: sample-gateway.tempo.svc.cluster.local:8090
                tls:
                  insecure: false
                  ca_file: "/var/run/secrets/kubernetes.io/serviceaccount/service-ca.crt" 5
                auth:
                  authenticator: bearertokenauth
                headers:
                  X-Scope-OrgID: "dev" 6
              otlphttp/dev: 7
                endpoint: https://sample-gateway.<project_of_tempostack_instance>.svc.cluster.local:8080/api/traces/v1/dev
                tls:
                  insecure: false
                  ca_file: "/var/run/secrets/kubernetes.io/serviceaccount/service-ca.crt"
                auth:
                  authenticator: bearertokenauth
                headers:
                  X-Scope-OrgID: "dev"
            service:
              extensions: [bearertokenauth]
              pipelines:
                traces:
                  exporters: [otlp/dev] 8
      
      # ...

      1
      Service account configured with write permissions.
      2
      Bearer Token extension to use service account token.
      3
      The service account token. The client sends the token to the tracing pipeline service as the bearer token header.
      4
      Specify either the OTLP gRPC Exporter (otlp/dev) or the OTLP HTTP Exporter (otlphttp/dev).
      5
      Enabled TLS with a valid service CA file.
      6
      Header with tenant name.
      7
      Specify either the OTLP gRPC Exporter (otlp/dev) or the OTLP HTTP Exporter (otlphttp/dev).
      8
      The exporter you specified in exporters section of the CR.

3.1.4. Installing a TempoStack instance

You can install a TempoStack instance by using the web console or command line.

3.1.4.1. Installing a TempoStack instance by using the web console

You can install a TempoStack instance from the Administrator view of the web console.

Prerequisites

  • You are logged in to the OpenShift Container Platform web console as a cluster administrator with the cluster-admin role.
  • For Red Hat OpenShift Dedicated, you must be logged in using an account with the dedicated-admin role.
  • You have completed setting up the required object storage by a supported provider: Red Hat OpenShift Data Foundation, MinIO, Amazon S3, Azure Blob Storage, Google Cloud Storage. For more information, see "Object storage setup".

    Warning

    Object storage is required and not included with the distributed tracing platform (Tempo). You must choose and set up object storage by a supported provider before installing the distributed tracing platform (Tempo).

  • You have defined one or more tenants and configured the read and write permissions. For more information, see "Configuring the read permissions for tenants" and "Configuring the write permissions for tenants".

Procedure

  1. Go to Home Projects Create Project to create a project of your choice for the TempoStack instance that you will create in a subsequent step.
  2. Go to Workloads Secrets Create From YAML to create a secret for your object storage bucket in the project that you created for the TempoStack instance. For more information, see "Object storage setup".

    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

  3. Create a TempoStack instance.

    Note

    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):

      Example TempoStack CR for AWS S3 and MinIO storage and two tenants

      apiVersion: tempo.grafana.com/v1alpha1
      kind: TempoStack 1
      metadata:
        name: simplest
        namespace: <project_of_tempostack_instance> 2
      spec:
        storage: 3
          secret: 4
            name: <secret_name> 5
            type: <secret_provider> 6
        storageSize: <value>Gi 7
        resources:
          total:
            limits:
              memory: 2Gi
              cpu: 2000m
        tenants:
          mode: openshift 8
          authentication: 9
            - tenantName: dev 10
              tenantId: "1610b0c3-c509-4592-a256-a1871353dbfa" 11
            - tenantName: prod
              tenantId: "1610b0c3-c509-4592-a256-a1871353dbfb"
        template:
          gateway:
            enabled: true 12
          queryFrontend:
            jaegerQuery:
              enabled: true 13

      1
      This CR creates a TempoStack deployment, which is configured to receive Jaeger Thrift over the HTTP and OpenTelemetry Protocol (OTLP).`
      2
      The namespace that you have chosen for the TempoStack deployment.
      3
      Specifies the storage for storing traces.
      4
      The secret you created in step 2 for the object storage that had been set up as one of the prerequisites.
      5
      The value of the name field in the metadata section of the secret. For example: minio.
      6
      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. For example: s3.
      7
      The size of the persistent volume claim for the Tempo Write-Ahead Logging (WAL). The default is 10Gi. For example: 1Gi.
      8
      The value must be openshift.
      9
      The list of tenants.
      10
      The tenant name, which is to be provided in the X-Scope-OrgId header when ingesting the data.
      11
      The unique identifier of the tenant. Must be unique throughout the lifecycle of the TempoStack deployment. The distributed tracing platform (Tempo) uses this ID to prefix objects in the object storage. You can reuse the value of the UUID or tempoName field.
      12
      Enables a gateway that performs authentication and authorization. The Jaeger UI is exposed at http://<gateway_ingress>/api/traces/v1/<tenant_name>/search.
      13
      Exposes the Jaeger UI, which visualizes the data, via a route.
    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.

      Note

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

3.1.4.2. Installing a TempoStack instance by using the CLI

You can install a TempoStack instance from the command line.

Prerequisites

  • An active OpenShift CLI (oc) session by a cluster administrator with the cluster-admin role.

    Tip
    • Ensure that your OpenShift CLI (oc) version is up to date and matches your OpenShift Container Platform version.
    • Run the oc login command:

      $ oc login --username=<your_username>
  • You have completed setting up the required object storage by a supported provider: Red Hat OpenShift Data Foundation, MinIO, Amazon S3, Azure Blob Storage, Google Cloud Storage. For more information, see "Object storage setup".

    Warning

    Object storage is required and not included with the distributed tracing platform (Tempo). You must choose and set up object storage by a supported provider before installing the distributed tracing platform (Tempo).

  • You have defined one or more tenants and configured the read and write permissions. For more information, see "Configuring the read permissions for tenants" and "Configuring the write permissions for tenants".

Procedure

  1. 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
  2. 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

    For more information, see "Object storage setup".

    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

  3. Create a TempoStack instance in the project that you created for it:

    Note

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

    1. Customize the TempoStack custom resource (CR):

      Example TempoStack CR for AWS S3 and MinIO storage and two tenants

      apiVersion: tempo.grafana.com/v1alpha1
      kind: TempoStack 1
      metadata:
        name: simplest
        namespace: <project_of_tempostack_instance> 2
      spec:
        storage: 3
          secret: 4
            name: <secret_name> 5
            type: <secret_provider> 6
        storageSize: <value>Gi 7
        resources:
          total:
            limits:
              memory: 2Gi
              cpu: 2000m
        tenants:
          mode: openshift 8
          authentication: 9
            - tenantName: dev 10
              tenantId: "1610b0c3-c509-4592-a256-a1871353dbfa" 11
            - tenantName: prod
              tenantId: "1610b0c3-c509-4592-a256-a1871353dbfb"
        template:
          gateway:
            enabled: true 12
          queryFrontend:
            jaegerQuery:
              enabled: true 13

      1
      This CR creates a TempoStack deployment, which is configured to receive Jaeger Thrift over the HTTP and OpenTelemetry Protocol (OTLP).`
      2
      The namespace that you have chosen for the TempoStack deployment.
      3
      Specifies the storage for storing traces.
      4
      The secret you created in step 2 for the object storage that had been set up as one of the prerequisites.
      5
      The value of the name field in the metadata section of the secret. For example: minio.
      6
      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. For example: s3.
      7
      The size of the persistent volume claim for the Tempo Write-Ahead Logging (WAL). The default is 10Gi. For example: 1Gi.
      8
      The value must be openshift.
      9
      The list of tenants.
      10
      The tenant name, which is to be provided in the X-Scope-OrgId header when ingesting the data.
      11
      The unique identifier of the tenant. Must be unique throughout the lifecycle of the TempoStack deployment. The distributed tracing platform (Tempo) uses this ID to prefix objects in the object storage. You can reuse the value of the UUID or tempoName field.
      12
      Enables a gateway that performs authentication and authorization. The Jaeger UI is exposed at http://<gateway_ingress>/api/traces/v1/<tenant_name>/search.
      13
      Exposes the Jaeger UI, which visualizes the data, via a route.
    2. Apply the customized CR by running the following command:

      $ oc apply -f - << EOF
      <tempostack_cr>
      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:

      $ oc get route
    2. Open https://<route_from_previous_step> in a web browser.

      Note

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

3.1.5. Installing a TempoMonolithic instance

Important

The TempoMonolithic instance is a Technology Preview feature only. Technology Preview features are not supported with Red Hat production service level agreements (SLAs) and might not be functionally complete. Red Hat does not recommend using them in production. These features provide early access to upcoming product features, enabling customers to test functionality and provide feedback during the development process.

For more information about the support scope of Red Hat Technology Preview features, see Technology Preview Features Support Scope.

You can install a TempoMonolithic instance by using the web console or command line.

The TempoMonolithic custom resource (CR) creates a Tempo deployment in monolithic mode. All components of the Tempo deployment, such as the compactor, distributor, ingester, querier, and query frontend, are contained in a single container.

A TempoMonolithic instance supports storing traces in in-memory storage, a persistent volume, or object storage.

Tempo deployment in monolithic mode is preferred for a small deployment, demonstration, testing, and as a migration path of the Red Hat OpenShift distributed tracing platform (Jaeger) all-in-one deployment.

Note

The monolithic deployment of Tempo does not scale horizontally. If you require horizontal scaling, use the TempoStack CR for a Tempo deployment in microservices mode.

3.1.5.1. Installing a TempoMonolithic instance by using the web console

Important

The TempoMonolithic instance is a Technology Preview feature only. Technology Preview features are not supported with Red Hat production service level agreements (SLAs) and might not be functionally complete. Red Hat does not recommend using them in production. These features provide early access to upcoming product features, enabling customers to test functionality and provide feedback during the development process.

For more information about the support scope of Red Hat Technology Preview features, see Technology Preview Features Support Scope.

You can install a TempoMonolithic instance from the Administrator view of the web console.

Prerequisites

  • You are logged in to the OpenShift Container Platform web console as a cluster administrator with the cluster-admin role.
  • For Red Hat OpenShift Dedicated, you must be logged in using an account with the dedicated-admin role.
  • You have defined one or more tenants and configured the read and write permissions. For more information, see "Configuring the read permissions for tenants" and "Configuring the write permissions for tenants".

Procedure

  1. Go to Home Projects Create Project to create a project of your choice for the TempoMonolithic instance that you will create in a subsequent step.
  2. Decide which type of supported storage to use for storing traces: in-memory storage, a persistent volume, or object storage.

    Important

    Object storage is not included with the distributed tracing platform (Tempo) and requires setting up an object store by a supported provider: Red Hat OpenShift Data Foundation, MinIO, Amazon S3, Azure Blob Storage, or Google Cloud Storage.

    Additionally, opting for object storage requires creating a secret for your object storage bucket in the project that you created for the TempoMonolithic instance. You can do this in Workloads Secrets Create From YAML.

    For more information, see "Object storage setup".

    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

  3. Create a TempoMonolithic instance:

    Note

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

    1. Go to Operators Installed Operators.
    2. Select TempoMonolithic Create TempoMonolithic YAML view.
    3. In the YAML view, customize the TempoMonolithic custom resource (CR).

      Example TempoMonolithic CR

      apiVersion: tempo.grafana.com/v1alpha1
      kind: TempoMonolithic 1
      metadata:
        name: <metadata_name>
        namespace: <project_of_tempomonolithic_instance> 2
      spec:
        storage: 3
          traces:
            backend: <supported_storage_type> 4
            size: <value>Gi 5
            s3: 6
              secret: <secret_name> 7
          tls: 8
            enabled: true
            caName: <ca_certificate_configmap_name> 9
        jaegerui:
          enabled: true 10
          route:
            enabled: true 11
        resources: 12
          total:
            limits:
              memory: <value>Gi
              cpu: <value>m
        multitenancy:
          enabled: true
          mode: openshift
          authentication: 13
            - tenantName: dev 14
              tenantId: "1610b0c3-c509-4592-a256-a1871353dbfa" 15
            - tenantName: prod
              tenantId: "1610b0c3-c509-4592-a256-a1871353dbfb"

      1
      This CR creates a TempoMonolithic deployment with trace ingestion in the OTLP protocol.
      2
      The namespace that you have chosen for the TempoMonolithic deployment.
      3
      Specifies the storage for storing traces.
      4
      Type of storage for storing traces: in-memory storage, a persistent volume, or object storage. The value for a persistent volume is pv. The accepted values for object storage are s3, gcs, or azure, depending on the used object store type. The default value is memory for the tmpfs in-memory storage, which is only appropriate for development, testing, demonstrations, and proof-of-concept environments because the data does not persist when the pod is shut down.
      5
      Memory size: For in-memory storage, this means the size of the tmpfs volume, where the default is 2Gi. For a persistent volume, this means the size of the persistent volume claim, where the default is 10Gi. For object storage, this means the size of the persistent volume claim for the Tempo Write-Ahead Logging (WAL), where the default is 10Gi.
      6
      Optional: For object storage, the type of object storage. The accepted values are s3, gcs, and azure, depending on the used object store type.
      7
      Optional: For object storage, the value of the name in the metadata of the storage secret. The storage secret must be in the same namespace as the TempoMonolithic instance and contain the fields specified in "Table 1. Required secret parameters" in the section "Object storage setup".
      8
      Optional.
      9
      Optional: Name of a ConfigMap object that contains a CA certificate.
      10
      Exposes the Jaeger UI, which visualizes the data, via a route.
      11
      Enables creation of a route for the Jaeger UI.
      12
      Optional.
      13
      Lists the tenants.
      14
      The tenant name from the X-Scope-OrgId header when ingesting the data.
      15
      The unique identifier of the tenant. Must be unique throughout the lifecycle of the TempoMonolithic deployment. This ID will be added as a prefix to the objects in the object storage. You can reuse the value of the UUID or tempoName field.
    4. Select Create.

Verification

  1. Use the Project: dropdown list to select the project of the TempoMonolithic instance.
  2. Go to Operators Installed Operators to verify that the Status of the TempoMonolithic instance is Condition: Ready.
  3. Go to Workloads Pods to verify that the pod of the TempoMonolithic instance is running.
  4. Access the Jaeger UI:

    1. Go to Networking Routes and Ctrl+F to search for jaegerui.

      Note

      The Jaeger UI uses the tempo-<metadata_name_of_TempoMonolithic_CR>-jaegerui route.

    2. In the Location column, open the URL to access the Jaeger UI.
  5. When the pod of the TempoMonolithic instance is ready, you can send traces to the tempo-<metadata_name_of_TempoMonolithic_CR>:4317 (OTLP/gRPC) and tempo-<metadata_name_of_TempoMonolithic_CR>:4318 (OTLP/HTTP) endpoints inside the cluster.

    The Tempo API is available at the tempo-<metadata_name_of_TempoMonolithic_CR>:3200 endpoint inside the cluster.

3.1.5.2. Installing a TempoMonolithic instance by using the CLI

Important

The TempoMonolithic instance is a Technology Preview feature only. Technology Preview features are not supported with Red Hat production service level agreements (SLAs) and might not be functionally complete. Red Hat does not recommend using them in production. These features provide early access to upcoming product features, enabling customers to test functionality and provide feedback during the development process.

For more information about the support scope of Red Hat Technology Preview features, see Technology Preview Features Support Scope.

You can install a TempoMonolithic instance from the command line.

Prerequisites

  • An active OpenShift CLI (oc) session by a cluster administrator with the cluster-admin role.

    Tip
    • Ensure that your OpenShift CLI (oc) version is up to date and matches your OpenShift Container Platform version.
    • Run the oc login command:

      $ oc login --username=<your_username>
  • You have defined one or more tenants and configured the read and write permissions. For more information, see "Configuring the read permissions for tenants" and "Configuring the write permissions for tenants".

Procedure

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

    $ oc apply -f - << EOF
    apiVersion: project.openshift.io/v1
    kind: Project
    metadata:
      name: <project_of_tempomonolithic_instance>
    EOF
  2. Decide which type of supported storage to use for storing traces: in-memory storage, a persistent volume, or object storage.

    Important

    Object storage is not included with the distributed tracing platform (Tempo) and requires setting up an object store by a supported provider: Red Hat OpenShift Data Foundation, MinIO, Amazon S3, Azure Blob Storage, or Google Cloud Storage.

    Additionally, opting for object storage requires creating a secret for your object storage bucket in the project that you created for the TempoMonolithic instance. You can do this by running the following command:

    $ oc apply -f - << EOF
    <object_storage_secret>
    EOF

    For more information, see "Object storage setup".

    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

  3. Create a TempoMonolithic instance in the project that you created for it.

    Tip

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

    1. Customize the TempoMonolithic custom resource (CR).

      Example TempoMonolithic CR

      apiVersion: tempo.grafana.com/v1alpha1
      kind: TempoMonolithic 1
      metadata:
        name: <metadata_name>
        namespace: <project_of_tempomonolithic_instance> 2
      spec:
        storage: 3
          traces:
            backend: <supported_storage_type> 4
            size: <value>Gi 5
            s3: 6
              secret: <secret_name> 7
          tls: 8
            enabled: true
            caName: <ca_certificate_configmap_name> 9
        jaegerui:
          enabled: true 10
          route:
            enabled: true 11
        resources: 12
          total:
            limits:
              memory: <value>Gi
              cpu: <value>m
        multitenancy:
          enabled: true
          mode: openshift
          authentication: 13
            - tenantName: dev 14
              tenantId: "1610b0c3-c509-4592-a256-a1871353dbfa" 15
            - tenantName: prod
              tenantId: "1610b0c3-c509-4592-a256-a1871353dbfb"

      1
      This CR creates a TempoMonolithic deployment with trace ingestion in the OTLP protocol.
      2
      The namespace that you have chosen for the TempoMonolithic deployment.
      3
      Specifies the storage for storing traces.
      4
      Type of storage for storing traces: in-memory storage, a persistent volume, or object storage. The value for a persistent volume is pv. The accepted values for object storage are s3, gcs, or azure, depending on the used object store type. The default value is memory for the tmpfs in-memory storage, which is only appropriate for development, testing, demonstrations, and proof-of-concept environments because the data does not persist when the pod is shut down.
      5
      Memory size: For in-memory storage, this means the size of the tmpfs volume, where the default is 2Gi. For a persistent volume, this means the size of the persistent volume claim, where the default is 10Gi. For object storage, this means the size of the persistent volume claim for the Tempo Write-Ahead Logging (WAL), where the default is 10Gi.
      6
      Optional: For object storage, the type of object storage. The accepted values are s3, gcs, and azure, depending on the used object store type.
      7
      Optional: For object storage, the value of the name in the metadata of the storage secret. The storage secret must be in the same namespace as the TempoMonolithic instance and contain the fields specified in "Table 1. Required secret parameters" in the section "Object storage setup".
      8
      Optional.
      9
      Optional: Name of a ConfigMap object that contains a CA certificate.
      10
      Exposes the Jaeger UI, which visualizes the data, via a route.
      11
      Enables creation of a route for the Jaeger UI.
      12
      Optional.
      13
      Lists the tenants.
      14
      The tenant name from the X-Scope-OrgId header when ingesting the data.
      15
      The unique identifier of the tenant. Must be unique throughout the lifecycle of the TempoMonolithic deployment. This ID will be added as a prefix to the objects in the object storage. You can reuse the value of the UUID or tempoName field.
    2. Apply the customized CR by running the following command:

      $ oc apply -f - << EOF
      <tempomonolithic_cr>
      EOF

Verification

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

    $ oc get tempomonolithic.tempo.grafana.com <metadata_name_of_tempomonolithic_cr> -o yaml
  2. Run the following command to verify that the pod of the TempoMonolithic instance is running:

    $ oc get pods
  3. Access the Jaeger UI:

    1. Query the route details for the tempo-<metadata_name_of_tempomonolithic_cr>-jaegerui route by running the following command:

      $ oc get route
    2. Open https://<route_from_previous_step> in a web browser.
  4. When the pod of the TempoMonolithic instance is ready, you can send traces to the tempo-<metadata_name_of_tempomonolithic_cr>:4317 (OTLP/gRPC) and tempo-<metadata_name_of_tempomonolithic_cr>:4318 (OTLP/HTTP) endpoints inside the cluster.

    The Tempo API is available at the tempo-<metadata_name_of_tempomonolithic_cr>:3200 endpoint inside the cluster.

3.1.6. Additional resources

3.2. Configuring

The Tempo Operator uses a custom resource definition (CRD) file that defines the architecture and configuration settings for creating and deploying the distributed tracing platform (Tempo) resources. You can install the default configuration or modify the file.

3.2.1. Configuring back-end storage

For information about configuring the back-end storage, see Understanding persistent storage and the relevant configuration section for your chosen storage option.

3.2.2. Introduction to TempoStack configuration parameters

The TempoStack custom resource (CR) defines the architecture and settings for creating the distributed tracing platform (Tempo) resources. You can modify these parameters to customize your implementation to your business needs.

Example TempoStack CR

apiVersion: tempo.grafana.com/v1alpha1 1
kind: TempoStack 2
metadata: 3
  name: <name> 4
spec: 5
  storage: {} 6
  resources: {} 7
  replicationFactor: 1 8
  retention: {} 9
  template:
      distributor: {} 10
      ingester: {} 11
      compactor: {} 12
      querier: {} 13
      queryFrontend: {} 14
      gateway: {} 15
  limits: 16
    global:
      ingestion: {} 17
      query: {} 18
  observability: 19
    grafana: {}
    metrics: {}
    tracing: {}
  search: {} 20
  managementState: managed 21

1
API version to use when creating the object.
2
Defines the kind of Kubernetes object to create.
3
Data that uniquely identifies the object, including a name string, UID, and optional namespace. OpenShift Container Platform automatically generates the UID and completes the namespace with the name of the project where the object is created.
4
Name of the TempoStack instance.
5
Contains all of the configuration parameters of the TempoStack instance. When a common definition for all Tempo components is required, define it in the spec section. When the definition relates to an individual component, place it in the spec.template.<component> section.
6
Storage is specified at instance deployment. See the installation page for information about storage options for the instance.
7
Defines the compute resources for the Tempo container.
8
Integer value for the number of ingesters that must acknowledge the data from the distributors before accepting a span.
9
Configuration options for retention of traces.
10
Configuration options for the Tempo distributor component.
11
Configuration options for the Tempo ingester component.
12
Configuration options for the Tempo compactor component.
13
Configuration options for the Tempo querier component.
14
Configuration options for the Tempo query-frontend component.
15
Configuration options for the Tempo gateway component.
16
Limits ingestion and query rates.
17
Defines ingestion rate limits.
18
Defines query rate limits.
19
Configures operands to handle telemetry data.
20
Configures search capabilities.
21
Defines whether or not this CR is managed by the Operator. The default value is managed.
Table 3.3. TempoStack CR parameters
ParameterDescriptionValuesDefault value

apiVersion:

API version to use when creating the object.

tempo.grafana.com/v1alpha1

tempo.grafana.com/v1alpha1

kind:

Defines the kind of the Kubernetes object to create.

tempo

 

metadata:

Data that uniquely identifies the object, including a name string, UID, and optional namespace.

 

OpenShift Container Platform automatically generates the UID and completes the namespace with the name of the project where the object is created.

name:

Name for the object.

Name of your TempoStack instance.

tempo-all-in-one-inmemory

spec:

Specification for the object to be created.

Contains all of the configuration parameters for your TempoStack instance. When a common definition for all Tempo components is required, it is defined under the spec node. When the definition relates to an individual component, it is placed under the spec.template.<component> node.

N/A

resources:

Resources assigned to the TempoStack instance.

  

storageSize:

Storage size for ingester PVCs.

  

replicationFactor:

Configuration for the replication factor.

  

retention:

Configuration options for retention of traces.

  

storage:

Configuration options that define the storage.

  

template.distributor:

Configuration options for the Tempo distributor.

  

template.ingester:

Configuration options for the Tempo ingester.

  

template.compactor:

Configuration options for the Tempo compactor.

  

template.querier:

Configuration options for the Tempo querier.

  

template.queryFrontend:

Configuration options for the Tempo query frontend.

  

template.gateway:

Configuration options for the Tempo gateway.

  

3.2.3. Query configuration options

Two components of the distributed tracing platform (Tempo), the querier and query frontend, manage queries. You can configure both of these components.

The querier component finds the requested trace ID in the ingesters or back-end storage. Depending on the set parameters, the querier component can query both the ingesters and pull bloom or indexes from the back end to search blocks in object storage. The querier component exposes an HTTP endpoint at GET /querier/api/traces/<trace_id>, but it is not expected to be used directly. Queries must be sent to the query frontend.

Table 3.4. Configuration parameters for the querier component
ParameterDescriptionValues

nodeSelector

The simple form of the node-selection constraint.

type: object

replicas

The number of replicas to be created for the component.

type: integer; format: int32

tolerations

Component-specific pod tolerations.

type: array

The query frontend component is responsible for sharding the search space for an incoming query. The query frontend exposes traces via a simple HTTP endpoint: GET /api/traces/<trace_id>. Internally, the query frontend component splits the blockID space into a configurable number of shards and then queues these requests. The querier component connects to the query frontend component via a streaming gRPC connection to process these sharded queries.

Table 3.5. Configuration parameters for the query frontend component
ParameterDescriptionValues

component

Configuration of the query frontend component.

type: object

component.nodeSelector

The simple form of the node selection constraint.

type: object

component.replicas

The number of replicas to be created for the query frontend component.

type: integer; format: int32

component.tolerations

Pod tolerations specific to the query frontend component.

type: array

jaegerQuery

The options specific to the Jaeger Query component.

type: object

jaegerQuery.enabled

When enabled, creates the Jaeger Query component,jaegerQuery.

type: boolean

jaegerQuery.ingress

The options for the Jaeger Query ingress.

type: object

jaegerQuery.ingress.annotations

The annotations of the ingress object.

type: object

jaegerQuery.ingress.host

The hostname of the ingress object.

type: string

jaegerQuery.ingress.ingressClassName

The name of an IngressClass cluster resource. Defines which ingress controller serves this ingress resource.

type: string

jaegerQuery.ingress.route

The options for the OpenShift route.

type: object

jaegerQuery.ingress.route.termination

The termination type. The default is edge.

type: string (enum: insecure, edge, passthrough, reencrypt)

jaegerQuery.ingress.type

The type of ingress for the Jaeger Query UI. The supported types are ingress, route, and none.

type: string (enum: ingress, route)

jaegerQuery.monitorTab

The monitor tab configuration.

type: object

jaegerQuery.monitorTab.enabled

Enables the monitor tab in the Jaeger console. The PrometheusEndpoint must be configured.

type: boolean

jaegerQuery.monitorTab.prometheusEndpoint

The endpoint to the Prometheus instance that contains the span rate, error, and duration (RED) metrics. For example, https://thanos-querier.openshift-monitoring.svc.cluster.local:9092.

type: string

Example configuration of the query frontend component in a TempoStack CR

apiVersion: tempo.grafana.com/v1alpha1
kind: TempoStack
metadata:
  name: simplest
spec:
  storage:
    secret:
      name: minio
      type: s3
  storageSize: 200M
  resources:
    total:
      limits:
        memory: 2Gi
        cpu: 2000m
  template:
    queryFrontend:
      jaegerQuery:
        enabled: true
        ingress:
          route:
            termination: edge
          type: route

3.2.4. Configuring the Monitor tab in Jaeger UI

You can have the request rate, error, and duration (RED) metrics extracted from traces and visualized through the Jaeger Console in the Monitor tab of the OpenShift Container Platform web console. The metrics are derived from spans in the OpenTelemetry Collector that are scraped from the Collector by Prometheus, which you can deploy in your user-workload monitoring stack. The Jaeger UI queries these metrics from the Prometheus endpoint and visualizes them.

Prerequisites

  • You have configured the permissions and tenants for the distributed tracing platform (Tempo). For more information, see "Configuring the permissions and tenants".

Procedure

  1. In the OpenTelemetryCollector custom resource of the OpenTelemetry Collector, enable the Spanmetrics Connector (spanmetrics), which derives metrics from traces and exports the metrics in the Prometheus format.

    Example OpenTelemetryCollector custom resource for span RED

    apiVersion: opentelemetry.io/v1beta1
    kind: OpenTelemetryCollector
    metadata:
      name: otel
    spec:
      mode: deployment
      observability:
        metrics:
          enableMetrics: true 1
      config: |
        connectors:
          spanmetrics: 2
            metrics_flush_interval: 15s
    
        receivers:
          otlp: 3
            protocols:
              grpc:
              http:
    
        exporters:
          prometheus: 4
            endpoint: 0.0.0.0:8889
            add_metric_suffixes: false
            resource_to_telemetry_conversion:
              enabled: true 5
    
          otlp:
            auth:
              authenticator: bearertokenauth
            endpoint: tempo-redmetrics-gateway.mynamespace.svc.cluster.local:8090
            headers:
              X-Scope-OrgID: dev
            tls:
              ca_file: /var/run/secrets/kubernetes.io/serviceaccount/service-ca.crt
              insecure: false
    
        extensions:
          bearertokenauth:
            filename: /var/run/secrets/kubernetes.io/serviceaccount/token
    
        service:
          extensions:
          - bearertokenauth
          pipelines:
            traces:
              receivers: [otlp]
              exporters: [otlp, spanmetrics] 6
            metrics:
              receivers: [spanmetrics] 7
              exporters: [prometheus]
    
    # ...

    1
    Creates the ServiceMonitor custom resource to enable scraping of the Prometheus exporter.
    2
    The Spanmetrics connector receives traces and exports metrics.
    3
    The OTLP receiver to receive spans in the OpenTelemetry protocol.
    4
    The Prometheus exporter is used to export metrics in the Prometheus format.
    5
    The resource attributes are dropped by default.
    6
    The Spanmetrics connector is configured as exporter in traces pipeline.
    7
    The Spanmetrics connector is configured as receiver in metrics pipeline.
  2. In the TempoStack custom resource, enable the Monitor tab and set the Prometheus endpoint to the Thanos querier service to query the data from your user-defined monitoring stack.

    Example TempoStack custom resource with the enabled Monitor tab

    apiVersion: tempo.grafana.com/v1alpha1
    kind: TempoStack
    metadata:
      name: redmetrics
    spec:
      storage:
        secret:
          name: minio-test
          type: s3
      storageSize: 1Gi
      tenants:
        mode: openshift
        authentication:
          - tenantName: dev
            tenantId: "1610b0c3-c509-4592-a256-a1871353dbfa"
      template:
        gateway:
          enabled: true
        queryFrontend:
          jaegerQuery:
            monitorTab:
              enabled: true 1
              prometheusEndpoint: https://thanos-querier.openshift-monitoring.svc.cluster.local:9092 2
              redMetricsNamespace: "" 3
    
    # ...

    1
    Enables the monitoring tab in the Jaeger console.
    2
    The service name for Thanos Querier from user-workload monitoring.
    3
    Optional: The metrics namespace on which the Jaeger query retrieves the Prometheus metrics. Include this line only if you are using an OpenTelemetry Collector version earlier than 0.109.0. If you are using an OpenTelemetry Collector version 0.109.0 or later, omit this line.
  3. Optional: Use the span RED metrics generated by the spanmetrics connector with alerting rules. For example, for alerts about a slow service or to define service level objectives (SLOs), the connector creates a duration_bucket histogram and the calls counter metric. These metrics have labels that identify the service, API name, operation type, and other attributes.

    Table 3.6. Labels of the metrics created in the spanmetrics connector
    LabelDescriptionValues

    service_name

    Service name set by the otel_service_name environment variable.

    frontend

    span_name

    Name of the operation.

    • /
    • /customer

    span_kind

    Identifies the server, client, messaging, or internal operation.

    • SPAN_KIND_SERVER
    • SPAN_KIND_CLIENT
    • SPAN_KIND_PRODUCER
    • SPAN_KIND_CONSUMER
    • SPAN_KIND_INTERNAL

    Example PrometheusRule custom resource that defines an alerting rule for SLO when not serving 95% of requests within 2000ms on the front-end service

    apiVersion: monitoring.coreos.com/v1
    kind: PrometheusRule
    metadata:
      name: span-red
    spec:
      groups:
      - name: server-side-latency
        rules:
        - alert: SpanREDFrontendAPIRequestLatency
          expr: histogram_quantile(0.95, sum(rate(duration_bucket{service_name="frontend", span_kind="SPAN_KIND_SERVER"}[5m])) by (le, service_name, span_name)) > 2000 1
          labels:
            severity: Warning
          annotations:
            summary: "High request latency on {{$labels.service_name}} and {{$labels.span_name}}"
            description: "{{$labels.instance}} has 95th request latency above 2s (current value: {{$value}}s)"

    1
    The expression for checking if 95% of the front-end server response time values are below 2000 ms. The time range ([5m]) must be at least four times the scrape interval and long enough to accommodate a change in the metric.

3.2.5. Configuring the receiver TLS

The custom resource of your TempoStack or TempoMonolithic instance supports configuring the TLS for receivers by using user-provided certificates or OpenShift’s service serving certificates.

3.2.5.1. Receiver TLS configuration for a TempoStack instance

You can provide a TLS certificate in a secret or use the service serving certificates that are generated by OpenShift Container Platform.

  • To provide a TLS certificate in a secret, configure it in the TempoStack custom resource.

    Note

    This feature is not supported with the enabled Tempo Gateway.

    TLS for receivers and using a user-provided certificate in a secret

    apiVersion: tempo.grafana.com/v1alpha1
    kind:  TempoStack
    # ...
    spec:
    # ...
      template:
        distributor:
          tls:
            enabled: true 1
            certName: <tls_secret> 2
            caName: <ca_name> 3
    # ...

    1
    TLS enabled at the Tempo Distributor.
    2
    Secret containing a tls.key key and tls.crt certificate that you apply in advance.
    3
    Optional: CA in a config map to enable mutual TLS authentication (mTLS).
  • Alternatively, you can use the service serving certificates that are generated by OpenShift Container Platform.

    Note

    Mutual TLS authentication (mTLS) is not supported with this feature.

    TLS for receivers and using the service serving certificates that are generated by OpenShift Container Platform

    apiVersion: tempo.grafana.com/v1alpha1
    kind:  TempoStack
    # ...
    spec:
    # ...
      template:
        distributor:
          tls:
            enabled: true 1
    # ...

    1
    Sufficient configuration for the TLS at the Tempo Distributor.

3.2.5.2. Receiver TLS configuration for a TempoMonolithic instance

You can provide a TLS certificate in a secret or use the service serving certificates that are generated by OpenShift Container Platform.

  • To provide a TLS certificate in a secret, configure it in the TempoMonolithic custom resource.

    Note

    This feature is not supported with the enabled Tempo Gateway.

    TLS for receivers and using a user-provided certificate in a secret

    apiVersion: tempo.grafana.com/v1alpha1
    kind:  TempoMonolithic
    # ...
      spec:
    # ...
      ingestion:
        otlp:
          grpc:
            tls:
              enabled: true 1
              certName: <tls_secret> 2
              caName: <ca_name> 3
    # ...

    1
    TLS enabled at the Tempo Distributor.
    2
    Secret containing a tls.key key and tls.crt certificate that you apply in advance.
    3
    Optional: CA in a config map to enable mutual TLS authentication (mTLS).
  • Alternatively, you can use the service serving certificates that are generated by OpenShift Container Platform.

    Note

    Mutual TLS authentication (mTLS) is not supported with this feature.

    TLS for receivers and using the service serving certificates that are generated by OpenShift Container Platform

    apiVersion: tempo.grafana.com/v1alpha1
    kind:  TempoMonolithic
    # ...
      spec:
    # ...
      ingestion:
        otlp:
          grpc:
            tls:
              enabled: true
          http:
            tls:
              enabled: true 1
    # ...

    1
    Minimal configuration for the TLS at the Tempo Distributor.

3.2.6. Using taints and tolerations

To schedule the TempoStack pods on dedicated nodes, see How to deploy the different TempoStack components on infra nodes using nodeSelector and tolerations in OpenShift 4.

3.2.7. Configuring monitoring and alerts

The Tempo Operator supports monitoring and alerts about each TempoStack component such as distributor, ingester, and so on, and exposes upgrade and operational metrics about the Operator itself.

3.2.7.1. Configuring the TempoStack metrics and alerts

You can enable metrics and alerts of TempoStack instances.

Prerequisites

  • Monitoring for user-defined projects is enabled in the cluster.

Procedure

  1. To enable metrics of a TempoStack instance, set the spec.observability.metrics.createServiceMonitors field to true:

    apiVersion: tempo.grafana.com/v1alpha1
    kind: TempoStack
    metadata:
      name: <name>
    spec:
      observability:
        metrics:
          createServiceMonitors: true
  2. To enable alerts for a TempoStack instance, set the spec.observability.metrics.createPrometheusRules field to true:

    apiVersion: tempo.grafana.com/v1alpha1
    kind: TempoStack
    metadata:
      name: <name>
    spec:
      observability:
        metrics:
          createPrometheusRules: true

Verification

You can use the Administrator view of the web console to verify successful configuration:

  1. Go to Observe Targets, filter for Source: User, and check that ServiceMonitors in the format tempo-<instance_name>-<component> have the Up status.
  2. To verify that alerts are set up correctly, go to Observe Alerting Alerting rules, filter for Source: User, and check that the Alert rules for the TempoStack instance components are available.

3.2.7.2. Configuring the Tempo Operator metrics and alerts

When installing the Tempo Operator from the web console, you can select the Enable Operator recommended cluster monitoring on this Namespace checkbox, which enables creating metrics and alerts of the Tempo Operator.

If the checkbox was not selected during installation, you can manually enable metrics and alerts even after installing the Tempo Operator.

Procedure

  • Add the openshift.io/cluster-monitoring: "true" label in the project where the Tempo Operator is installed, which is openshift-tempo-operator by default.

Verification

You can use the Administrator view of the web console to verify successful configuration:

  1. Go to Observe Targets, filter for Source: Platform, and search for tempo-operator, which must have the Up status.
  2. To verify that alerts are set up correctly, go to Observe Alerting Alerting rules, filter for Source: Platform, and locate the Alert rules for the Tempo Operator.

3.3. Troubleshooting

You can diagnose and fix issues in TempoStack or TempoMonolithic instances by using various troubleshooting methods.

3.3.1. Collecting diagnostic data from the command line

When submitting a support case, it is helpful to include diagnostic information about your cluster to Red Hat Support. You can use the oc adm must-gather tool to gather diagnostic data for resources of various types, such as TempoStack or TempoMonolithic, and the created resources like Deployment, Pod, or ConfigMap. The oc adm must-gather tool creates a new pod that collects this data.

Procedure

  • From the directory where you want to save the collected data, run the oc adm must-gather command to collect the data:

    $ oc adm must-gather --image=ghcr.io/grafana/tempo-operator/must-gather -- \
    /usr/bin/must-gather --operator-namespace <operator_namespace> 1
    1
    The default namespace where the Operator is installed is openshift-tempo-operator.

Verification

  • Verify that the new directory is created and contains the collected data.

3.4. Upgrading

For version upgrades, the Tempo Operator uses the Operator Lifecycle Manager (OLM), which controls installation, upgrade, and role-based access control (RBAC) of Operators in a cluster.

The OLM runs in the OpenShift Container Platform by default. The OLM queries for available Operators as well as upgrades for installed Operators.

When the Tempo Operator is upgraded to the new version, it scans for running TempoStack instances that it manages and upgrades them to the version corresponding to the Operator’s new version.

3.4.1. Additional resources

3.5. Removing

The steps for removing the Red Hat OpenShift distributed tracing platform (Tempo) from an OpenShift Container Platform cluster are as follows:

  1. Shut down all distributed tracing platform (Tempo) pods.
  2. Remove any TempoStack instances.
  3. Remove the Tempo Operator.

3.5.1. Removing by using the web console

You can remove a TempoStack instance in the Administrator view of the web console.

Prerequisites

  • You are logged in to the OpenShift Container Platform web console as a cluster administrator with the cluster-admin role.
  • For Red Hat OpenShift Dedicated, you must be logged in using an account with the dedicated-admin role.

Procedure

  1. Go to Operators Installed Operators Tempo Operator TempoStack.
  2. To remove the TempoStack instance, select kebab Delete TempoStack Delete.
  3. Optional: Remove the Tempo Operator.

3.5.2. Removing by using the CLI

You can remove a TempoStack instance on the command line.

Prerequisites

  • An active OpenShift CLI (oc) session by a cluster administrator with the cluster-admin role.

    Tip
    • Ensure that your OpenShift CLI (oc) version is up to date and matches your OpenShift Container Platform version.
    • Run oc login:

      $ oc login --username=<your_username>

Procedure

  1. Get the name of the TempoStack instance by running the following command:

    $ oc get deployments -n <project_of_tempostack_instance>
  2. Remove the TempoStack instance by running the following command:

    $ oc delete tempo <tempostack_instance_name> -n <project_of_tempostack_instance>
  3. Optional: Remove the Tempo Operator.

Verification

  1. Run the following command to verify that the TempoStack instance is not found in the output, which indicates its successful removal:

    $ oc get deployments -n <project_of_tempostack_instance>

3.5.3. Additional resources

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