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Chapter 3. Distributed tracing platform (Tempo)

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3.1. Installing

Installing the distributed tracing platform (Tempo) requires the Tempo Operator and choosing which type of deployment is best for your use case:

  • For microservices mode, deploy a TempoStack instance in a dedicated OpenShift project.
  • For monolithic mode, deploy a TempoMonolithic instance in a dedicated OpenShift project.
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.

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. Installing a TempoStack instance

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

3.1.2.1. 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).

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):

      apiVersion: tempo.grafana.com/v1alpha1
      kind: TempoStack
      metadata:
        name: sample
        namespace: <project_of_tempostack_instance>
      spec:
        storageSize: 1Gi
        storage:
          secret: 1
            name: <secret_name> 2
            type: <secret_provider> 3
        template:
          queryFrontend:
            jaegerQuery:
              enabled: true
              ingress:
                route:
                  termination: edge
                type: route
      1
      The secret you created in step 2 for the object storage that had been set up as one of the prerequisites.
      2
      The value of the name in the metadata of the secret.
      3
      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: 1
          secret:
            name: minio-test
            type: s3
        resources:
          total:
            limits:
              memory: 2Gi
              cpu: 2000m
        template:
          queryFrontend:
            jaegerQuery: 2
              enabled: true
              ingress:
                route:
                  termination: edge
                type: route

      1
      In this example, the object storage was set up as one of the prerequisites, and the object storage secret was created in step 2.
      2
      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.

      Note

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

3.1.2.2. 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).

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):

      apiVersion: tempo.grafana.com/v1alpha1
      kind: TempoStack
      metadata:
        name: sample
        namespace: <project_of_tempostack_instance>
      spec:
        storageSize: 1Gi
        storage:
            secret: 1
                name: <secret_name> 2
                type: <secret_provider> 3
        template:
          queryFrontend:
            jaegerQuery:
              enabled: true
              ingress:
                route:
                  termination: edge
                type: route
      1
      The secret you created in step 2 for the object storage that had been set up as one of the prerequisites.
      2
      The value of the name in the metadata of the secret.
      3
      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: 1
          secret:
            name: minio-test
            type: s3
        resources:
          total:
            limits:
              memory: 2Gi
              cpu: 2000m
        template:
          queryFrontend:
            jaegerQuery: 2
              enabled: true
              ingress:
                route:
                  termination: edge
                type: route

      1
      In this example, the object storage was set up as one of the prerequisites, and the object storage secret was created in step 2.
      2
      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_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.

3.1.3. 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 the 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.

3.1.3.1. 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.

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).

      The following TempoMonolithic CR creates a TempoMonolithic deployment with trace ingestion over OTLP/gRPC and OTLP/HTTP, storing traces in a supported type of storage and exposing Jaeger UI via a route:

      apiVersion: tempo.grafana.com/v1alpha1
      kind: TempoMonolithic
      metadata:
        name: <metadata_name>
        namespace: <project_of_tempomonolithic_instance>
      spec:
        storage:
          traces:
            backend: <supported_storage_type> 1
            size: <value>Gi 2
            s3: 3
              secret: <secret_name> 4
        jaegerui:
          enabled: true 5
          route:
            enabled: true 6
      1
      Type of storage for storing traces: in-memory storage, a persistent volume, or object storage. The value for the tmpfs in-memory storage is memory. 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.
      2
      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 WAL, where the default is 10Gi.
      3
      Optional: For object storage, the type of object storage. The accepted values are s3, gcs, and azure, depending on the used object store type.
      4
      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".
      5
      Enables the Jaeger UI.
      6
      Enables creation of a route for the Jaeger UI.
    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.

3.1.3.2. 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>

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).

      The following TempoMonolithic CR creates a TempoMonolithic deployment with trace ingestion over OTLP/gRPC and OTLP/HTTP, storing traces in a supported type of storage and exposing Jaeger UI via a route:

      apiVersion: tempo.grafana.com/v1alpha1
      kind: TempoMonolithic
      metadata:
        name: <metadata_name>
        namespace: <project_of_tempomonolithic_instance>
      spec:
        storage:
          traces:
            backend: <supported_storage_type> 1
            size: <value>Gi 2
            s3: 3
              secret: <secret_name> 4
        jaegerui:
          enabled: true 5
          route:
            enabled: true 6
      1
      Type of storage for storing traces: in-memory storage, a persistent volume, or object storage. The value for the tmpfs in-memory storage is memory. 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.
      2
      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 WAL, where the default is 10Gi.
      3
      Optional: For object storage, the type of object storage. The accepted values are s3, gcs, and azure, depending on the used object store type.
      4
      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".
      5
      Enables the Jaeger UI.
      6
      Enables creation of a route for the Jaeger UI.
    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.

3.1.4. Object storage setup

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

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>

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

3.1.5. Additional resources

3.2. Configuring

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

3.2.1. Customizing your deployment

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

3.2.1.1. Default configuration options

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

Example of a generic Tempo YAML file

apiVersion: tempo.grafana.com/v1alpha1
kind: TempoStack
metadata:
  name: name
spec:
  storage: {}
  resources: {}
  storageSize: 200M
  replicationFactor: 1
  retention: {}
  template:
      distributor:{}
      ingester: {}
      compactor: {}
      querier: {}
      queryFrontend: {}
      gateway: {}

Table 3.2. Tempo 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 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. All storage-related options must be placed under storage and not under the allInOne or other component options.

  

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.

  

Minimum required configuration

The following is the required minimum for creating a distributed tracing platform (Tempo) deployment with the default settings:

apiVersion: tempo.grafana.com/v1alpha1
kind: TempoStack
metadata:
  name: simplest
spec:
  storage: 1
    secret:
      name: minio
      type: s3
  resources:
    total:
      limits:
        memory: 2Gi
        cpu: 2000m
  template:
    queryFrontend:
      jaegerQuery:
        enabled: true
        ingress:
          type: route
1
This section specifies the deployed object storage back end, which requires a created secret with credentials for access to the object storage.

3.2.1.2. Storage configuration

You can configure object storage for the distributed tracing platform (Tempo) in the TempoStack custom resource under spec.storage. You can choose from among several storage providers that are supported.

Table 3.3. General storage parameters used by the Tempo Operator to define distributed tracing storage
ParameterDescriptionValuesDefault value

spec.storage.secret.type

Type of storage to use for the deployment.

memory. Memory storage is only appropriate for development, testing, demonstrations, and proof of concept environments because the data does not persist when the pod is shut down.

memory

storage.secretname

Name of the secret that contains the credentials for the set object storage type.

 

N/A

storage.tls.caName

CA is the name of a ConfigMap object containing a CA certificate.

  
Table 3.4. 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

3.2.1.3. 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 3.5. 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 3.6. 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:9091.

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

3.2.1.3.1. Additional resources

3.2.1.4. Configuration of the monitor tab in Jaeger UI

Trace data contains rich information, and the data is normalized across instrumented languages and frameworks. Therefore, request rate, error, and duration (RED) metrics can be extracted from traces. The metrics can be visualized in Jaeger console in the Monitor tab.

The metrics are derived from spans in the OpenTelemetry Collector that are scraped from the Collector by the Prometheus deployed in the user-workload monitoring stack. The Jaeger UI queries these metrics from the Prometheus endpoint and visualizes them.

3.2.1.4.1. OpenTelemetry Collector configuration

The OpenTelemetry Collector requires configuration of the spanmetrics connector that derives metrics from traces and exports the metrics in the Prometheus format.

OpenTelemetry Collector custom resource for span RED

kind: OpenTelemetryCollector
apiVersion: opentelemetry.io/v1alpha1
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 # by default resource attributes are dropped

      otlp:
        endpoint: "tempo-simplest-distributor:4317"
        tls:
          insecure: true

    service:
      pipelines:
        traces:
          receivers: [otlp]
          exporters: [otlp, spanmetrics] 5
        metrics:
          receivers: [spanmetrics] 6
          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 Spanmetrics connector is configured as exporter in traces pipeline.
6
The Spanmetrics connector is configured as receiver in metrics pipeline.
3.2.1.4.2. Tempo configuration

The TempoStack custom resource must specify the following: the Monitor tab is enabled, and the Prometheus endpoint is set to the Thanos querier service to query the data from the user-defined monitoring stack.

TempoStack custom resource with the enabled Monitor tab

kind: TempoStack
apiVersion: tempo.grafana.com/v1alpha1
metadata:
  name: simplest
spec:
  template:
    queryFrontend:
      jaegerQuery:
        enabled: true
        monitorTab:
          enabled: true 1
          prometheusEndpoint: https://thanos-querier.openshift-monitoring.svc.cluster.local:9091 2
        ingress:
          type: route

1
Enables the monitoring tab in the Jaeger console.
2
The service name for Thanos Querier from user-workload monitoring.
3.2.1.4.3. Span RED metrics and alerting rules

The metrics generated by the spanmetrics connector are usable 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 3.7. 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 CR 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.

3.2.1.5. Multitenancy

Multitenancy with authentication and authorization is provided in the Tempo Gateway service. The authentication uses OpenShift OAuth and the Kubernetes TokenReview API. The authorization uses the Kubernetes SubjectAccessReview API.

Note

The Tempo Gateway service supports ingestion of traces only via the OTLP/gRPC. The OTLP/HTTP is not supported.

Sample Tempo CR with two tenants, dev and prod

apiVersion: tempo.grafana.com/v1alpha1
kind:  TempoStack
metadata:
  name: simplest
spec:
  tenants:
    mode: openshift 1
    authentication: 2
      - tenantName: dev 3
        tenantId: "1610b0c3-c509-4592-a256-a1871353dbfa" 4
      - tenantName: prod
        tenantId: "1610b0c3-c509-4592-a256-a1871353dbfb"
  template:
    gateway:
      enabled: true 5
    queryFrontend:
      jaegerQuery:
        enabled: true

1
Must be set to openshift.
2
The list of tenants.
3
The tenant name. Must be provided in the X-Scope-OrgId header when ingesting the data.
4
A unique tenant ID.
5
Enables a gateway that performs authentication and authorization. The Jaeger UI is exposed at http://<gateway-ingress>/api/traces/v1/<tenant-name>/search.

The authorization configuration uses the ClusterRole and ClusterRoleBinding of the Kubernetes Role-Based Access Control (RBAC). By default, no users have read or write permissions.

Sample of the read RBAC configuration that allows authenticated users to read the trace data of the dev and prod tenants

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
---
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 3

1
Lists the tenants.
2
The get value enables the read operation.
3
Grants all authenticated users the read permissions for trace data.

Sample of the write RBAC configuration that allows the otel-collector service account to write the trace data for the dev tenant

apiVersion: v1
kind: ServiceAccount
metadata:
  name: otel-collector 1
  namespace: otel
---
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRole
metadata:
  name: tempostack-traces-write
rules:
  - apiGroups:
      - 'tempo.grafana.com'
    resources: 2
      - dev
    resourceNames:
      - traces
    verbs:
      - 'create' 3
---
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
    namespace: otel

1
The service account name for the client to use when exporting trace data. The client must send the service account token, /var/run/secrets/kubernetes.io/serviceaccount/token, as the bearer token header.
2
Lists the tenants.
3
The create value enables the write operation.

Trace data can be sent to the Tempo instance from the OpenTelemetry Collector that uses the service account with RBAC for writing the data.

Sample OpenTelemetry CR configuration

apiVersion: opentelemetry.io/v1alpha1
kind: OpenTelemetryCollector
metadata:
  name: cluster-collector
  namespace: tracing-system
spec:
  mode: deployment
  serviceAccount: otel-collector
  config: |
      extensions:
        bearertokenauth:
          filename: "/var/run/secrets/kubernetes.io/serviceaccount/token"
      exporters:
        otlp/dev:
          endpoint: tempo-simplest-gateway.tempo.svc.cluster.local:8090
          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]

3.2.2. 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.

3.2.2.1. 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.
3.2.2.1.1. Additional resources

3.2.2.2. 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. 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.

3.3.1. Additional resources

3.4. 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.

3.4.1. 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.

3.4.2. 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>

3.4.3. Additional resources

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