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Jaeger configuration reference

Enabling and disabling tracing

You enable distributed tracing by specifying a tracing type and a sampling rate in the ServiceMeshControlPlane resource.

Default all-in-one Jaeger parameters
apiVersion: maistra.io/v2
kind: ServiceMeshControlPlane
metadata:
  name: basic
spec:
  version: v2.3.1
  tracing:
    sampling: 100
    type: Jaeger

Currently, the only tracing type that is supported is Jaeger.

Jaeger is enabled by default. To disable tracing, set type to None.

The sampling rate determines how often the Envoy proxy generates a trace. You can use the sampling rate option to control what percentage of requests get reported to your tracing system. You can configure this setting based upon your traffic in the mesh and the amount of tracing data you want to collect. You configure sampling as a scaled integer representing 0.01% increments. For example, setting the value to 10 samples 0.1% of traces, setting the value to 500 samples 5% of traces, and a setting of 10000 samples 100% of traces.

The SMCP sampling configuration option controls the Envoy sampling rate. You configure the Jaeger trace sampling rate in the Jaeger custom resource.

Specifying Jaeger configuration in the SMCP

You configure Jaeger under the addons section of the ServiceMeshControlPlane resource. However, there are some limitations to what you can configure in the SMCP.

When the SMCP passes configuration information to the Red Hat OpenShift distributed tracing platform Operator, it triggers one of three deployment strategies: allInOne, production, or streaming.

Deploying the distributed tracing platform

The distributed tracing platform has predefined deployment strategies. You specify a deployment strategy in the Jaeger custom resource (CR) file. When you create an instance of the distributed tracing platform, the Red Hat OpenShift distributed tracing platform Operator uses this configuration file to create the objects necessary for the deployment.

The Red Hat OpenShift distributed tracing platform Operator currently supports the following deployment strategies:

  • allInOne (default) - This strategy is intended for development, testing, and demo purposes and it is not for production use. The main back-end components, Agent, Collector, and Query service, are all packaged into a single executable, which is configured (by default) to use in-memory storage. You can configure this deployment strategy in the SMCP.

    In-memory storage is not persistent, which means that if the Jaeger instance shuts down, restarts, or is replaced, your trace data will be lost. And in-memory storage cannot be scaled, since each pod has its own memory. For persistent storage, you must use the production or streaming strategies, which use Elasticsearch as the default storage.

  • production - The production strategy is intended for production environments, where long term storage of trace data is important, and a more scalable and highly available architecture is required. Each back-end component is therefore deployed separately. The Agent can be injected as a sidecar on the instrumented application. The Query and Collector services are configured with a supported storage type, which is currently Elasticsearch. Multiple instances of each of these components can be provisioned as required for performance and resilience purposes. You can configure this deployment strategy in the SMCP, but in order to be fully customized, you must specify your configuration in the Jaeger CR and link that to the SMCP.

  • streaming - The streaming strategy is designed to augment the production strategy by providing a streaming capability that sits between the Collector and the Elasticsearch back-end storage. This provides the benefit of reducing the pressure on the back-end storage, under high load situations, and enables other trace post-processing capabilities to tap into the real-time span data directly from the streaming platform (AMQ Streams/ Kafka). You cannot configure this deployment strategy in the SMCP; you must configure a Jaeger CR and link that to the SMCP.

The streaming strategy requires an additional Red Hat subscription for AMQ Streams.

Default distributed tracing platform deployment

If you do not specify Jaeger configuration options, the ServiceMeshControlPlane resource will use the allInOne Jaeger deployment strategy by default. When using the default allInOne deployment strategy, set spec.addons.jaeger.install.storage.type to Memory. You can accept the defaults or specify additional configuration options under install.

Control plane default Jaeger parameters (Memory)
apiVersion: maistra.io/v2
kind: ServiceMeshControlPlane
metadata:
  name: basic
spec:
  version: v2.3.1
  tracing:
    sampling: 10000
    type: Jaeger
  addons:
    jaeger:
      name: jaeger
      install:
        storage:
          type: Memory

Production distributed tracing platform deployment (minimal)

To use the default settings for the production deployment strategy, set spec.addons.jaeger.install.storage.type to Elasticsearch and specify additional configuration options under install. Note that the SMCP only supports configuring Elasticsearch resources and image name.

Control plane default Jaeger parameters (Elasticsearch)
apiVersion: maistra.io/v2
kind: ServiceMeshControlPlane
metadata:
  name: basic
spec:
  version: v2.3.1
  tracing:
    sampling: 10000
    type: Jaeger
  addons:
    jaeger:
      name: jaeger  #name of Jaeger CR
      install:
        storage:
          type: Elasticsearch
        ingress:
          enabled: true
  runtime:
    components:
      tracing.jaeger.elasticsearch: # only supports resources and image name
        container:
          resources: {}

Production distributed tracing platform deployment (fully customized)

The SMCP supports only minimal Elasticsearch parameters. To fully customize your production environment and access all of the Elasticsearch configuration parameters, use the Jaeger custom resource (CR) to configure Jaeger.

Create and configure your Jaeger instance and set spec.addons.jaeger.name to the name of the Jaeger instance, in this example: MyJaegerInstance.

Control plane with linked Jaeger production CR
apiVersion: maistra.io/v2
kind: ServiceMeshControlPlane
metadata:
  name: basic
spec:
  version: v2.3.1
  tracing:
    sampling: 1000
    type: Jaeger
  addons:
    jaeger:
      name: MyJaegerInstance #name of Jaeger CR
      install:
        storage:
          type: Elasticsearch
        ingress:
          enabled: true

Streaming Jaeger deployment

To use the streaming deployment strategy, you create and configure your Jaeger instance first, then set spec.addons.jaeger.name to the name of the Jaeger instance, in this example: MyJaegerInstance.

Control plane with linked Jaeger streaming CR
apiVersion: maistra.io/v2
kind: ServiceMeshControlPlane
metadata:
  name: basic
spec:
  version: v2.3.1
  tracing:
    sampling: 1000
    type: Jaeger
  addons:
    jaeger:
      name: MyJaegerInstance  #name of Jaeger CR

Specifying Jaeger configuration in a Jaeger custom resource

You can fully customize your Jaeger deployment by configuring Jaeger in the Jaeger custom resource (CR) rather than in the ServiceMeshControlPlane (SMCP) resource. This configuration is sometimes referred to as an "external Jaeger" since the configuration is specified outside of the SMCP.

You must deploy the SMCP and Jaeger CR in the same namespace. For example, istio-system.

You can configure and deploy a standalone Jaeger instance and then specify the name of the Jaeger resource as the value for spec.addons.jaeger.name in the SMCP resource. If a Jaeger CR matching the value of name exists, the Service Mesh control plane will use the existing installation. This approach lets you fully customize your Jaeger configuration.

Deployment best practices

  • Red Hat OpenShift distributed tracing instance names must be unique. If you want to have multiple Red Hat OpenShift distributed tracing platform instances and are using sidecar injected agents, then the Red Hat OpenShift distributed tracing platform instances should have unique names, and the injection annotation should explicitly specify the Red Hat OpenShift distributed tracing platform instance name the tracing data should be reported to.

  • If you have a multitenant implementation and tenants are separated by namespaces, deploy a Red Hat OpenShift distributed tracing platform instance to each tenant namespace.

    • Agent as a daemonset is not supported for multitenant installations or Red Hat OpenShift Dedicated. Agent as a sidecar is the only supported configuration for these use cases.

  • If you are installing distributed tracing as part of Red Hat OpenShift Service Mesh, the distributed tracing resources must be installed in the same namespace as the ServiceMeshControlPlane resource.

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

Configuring distributed tracing security for service mesh

The distributed tracing platform uses OAuth for default authentication. However Red Hat OpenShift Service Mesh uses a secret called htpasswd to facilitate communication between dependent services such as Grafana, Kiali, and the distributed tracing platform. When you configure your distributed tracing platform in the ServiceMeshControlPlane the Service Mesh automatically configures security settings to use htpasswd.

If you are specifying your distributed tracing platform configuration in a Jaeger custom resource, you must manually configure the htpasswd settings and ensure the htpasswd secret is mounted into your Jaeger instance so that Kiali can communicate with it.

Configuring distributed tracing security for service mesh from the OpenShift console

You can modify the Jaeger resource to configure distributed tracing platform security for use with Service Mesh in the OpenShift console.

Prerequisites

  • You have access to the cluster as a user with the cluster-admin role. If you use Red Hat OpenShift Dedicated, you must have an account with the dedicated-admin role.

  • The Red Hat OpenShift Service Mesh Operator must be installed.

  • The ServiceMeshControlPlane deployed to the cluster.

  • You have access to the OpenShift Container Platform web console.

Procedure

  1. Log in to the OpenShift Container Platform web console as a user with the cluster-admin role.

  2. Navigate to Operators → Installed Operators.

  3. Click the Project menu and select the project where your ServiceMeshControlPlane resource is deployed from the list, for example istio-system.

  4. Click the Red Hat OpenShift distributed tracing platform Operator.

  5. On the Operator Details page, click the Jaeger tab.

  6. Click the name of your Jaeger instance.

  7. On the Jaeger details page, click the YAML tab to modify your configuration.

  8. Edit the Jaeger custom resource file to add the htpasswd configuration as shown in the following example.

    • spec.ingress.openshift.htpasswdFile

    • spec.volumes

    • spec.volumeMounts

      Example Jaeger resource showing htpasswd configuration
      apiVersion: jaegertracing.io/v1
kind: Jaeger
spec:
  ingress:
    enabled: true
    openshift:
      htpasswdFile: /etc/proxy/htpasswd/auth
      sar: '{"namespace": "istio-system", "resource": "pods", "verb": "get"}'
    options: {}
    resources: {}
    security: oauth-proxy
  volumes:
    - name: secret-htpasswd
      secret:
        secretName: htpasswd
    - configMap:
        defaultMode: 420
        items:
          - key: ca-bundle.crt
            path: tls-ca-bundle.pem
        name: trusted-ca-bundle
        optional: true
      name: trusted-ca-bundle
  volumeMounts:
    - mountPath: /etc/proxy/htpasswd
      name: secret-htpasswd
    - mountPath: /etc/pki/ca-trust/extracted/pem/
      name: trusted-ca-bundle
      readOnly: true

  9. Click Save.

Configuring distributed tracing security for service mesh from the command line

You can modify the Jaeger resource to configure distributed tracing platform security for use with Service Mesh from the command line using the oc utility.

Prerequisites

  • You have access to the cluster as a user with the cluster-admin role. If you use Red Hat OpenShift Dedicated, you must have an account with the dedicated-admin role.

  • The Red Hat OpenShift Service Mesh Operator must be installed.

  • The ServiceMeshControlPlane deployed to the cluster.

  • You have access to the OpenShift CLI (oc) that matches your OpenShift Container Platform version.

Procedure

  1. Log in to the OpenShift Container Platform CLI as a user with the cluster-admin role. If you use Red Hat OpenShift Dedicated, you must have an account with the dedicated-admin role.