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Using Jaeger distributed tracing

If you do not want to install all of the components of Red Hat OpenShift distributed tracing, you can still use distributed tracing on OpenShift Container Platform with OpenShift Serverless.

Configuring Jaeger to enable distributed tracing

To enable distributed tracing using Jaeger, you must install and configure Jaeger as a standalone integration.

Prerequisites

  • You have access to an OpenShift Container Platform account with cluster administrator access.

  • You have installed the OpenShift Serverless Operator, Knative Serving, and Knative Eventing.

  • You have installed the Red Hat OpenShift distributed tracing platform Operator.

  • You have installed the OpenShift CLI (oc).

  • You have created a project or have access to a project with the appropriate roles and permissions to create applications and other workloads in OpenShift Container Platform.

Procedure

  1. Create and apply a Jaeger custom resource (CR) that contains the following:

    Jaeger CR
    apiVersion: jaegertracing.io/v1
kind: Jaeger
metadata:
  name: jaeger
  namespace: default

  2. Enable tracing for Knative Serving, by editing the KnativeServing CR and adding a YAML configuration for tracing:

    Tracing YAML example for Serving
    apiVersion: operator.knative.dev/v1beta1
kind: KnativeServing
metadata:
  name: knative-serving
  namespace: knative-serving
spec:
  config:
    tracing:
      sample-rate: "0.1" (1)
      backend: zipkin (2)
      zipkin-endpoint: "http://jaeger-collector.default.svc.cluster.local:9411/api/v2/spans" (3)
      debug: "false" (4)
    1 The sample-rate defines sampling probability. Using sample-rate: "0.1" means that 1 in 10 traces are sampled.
    2 backend must be set to zipkin.
    3 The zipkin-endpoint must point to your jaeger-collector service endpoint. To get this endpoint, substitute the namespace where the Jaeger CR is applied.
    4 Debugging should be set to false. Enabling debug mode by setting debug: "true" allows all spans to be sent to the server, bypassing sampling.

  3. Enable tracing for Knative Eventing by editing the KnativeEventing CR:

    Tracing YAML example for Eventing
    apiVersion: operator.knative.dev/v1beta1
kind: KnativeEventing
metadata:
  name: knative-eventing
  namespace: knative-eventing
spec:
  config:
    tracing:
      sample-rate: "0.1" (1)
      backend: zipkin (2)
      zipkin-endpoint: "http://jaeger-collector.default.svc.cluster.local:9411/api/v2/spans" (3)
      debug: "false" (4)
    1 The sample-rate defines sampling probability. Using sample-rate: "0.1" means that 1 in 10 traces are sampled.
    2 Set backend to zipkin.
    3 Point the zipkin-endpoint to your jaeger-collector service endpoint. To get this endpoint, substitute the namespace where the Jaeger CR is applied.
    4 Debugging should be set to false. Enabling debug mode by setting debug: "true" allows all spans to be sent to the server, bypassing sampling.
Verification

You can access the Jaeger web console to see tracing data, by using the jaeger route.

  1. Get the jaeger route’s hostname by entering the following command:

    $ oc get route jaeger -n default
    Example output
    NAME     HOST/PORT                         PATH   SERVICES       PORT    TERMINATION   WILDCARD
jaeger   jaeger-default.apps.example.com          jaeger-query   <all>   reencrypt     None

  2. Open the endpoint address in your browser to view the console.