Chapter 3. Distributed tracing installation 3.1. Installing distributed tracing You can install Red Hat OpenShift distributed tracing on OpenShift Container Platform in either of two ways: You can install Red Hat OpenShift distributed tracing as part of Red Hat OpenShift Service Mesh. Distributed tracing is included by default in the Service Mesh installation. To install Red Hat OpenShift distributed tracing as part of a service mesh, follow the Red Hat Service Mesh Installation instructions. You must install Red Hat OpenShift distributed tracing in the same namespace as your service mesh, that is, the ServiceMeshControlPlane and the Red Hat OpenShift distributed tracing resources must be in the same namespace. If you do not want to install a service mesh, you can use the Red Hat OpenShift distributed tracing Operators to install distributed tracing by itself. To install Red Hat OpenShift distributed tracing without a service mesh, use the following instructions. 3.1.1. Prerequisites Before you can install Red Hat OpenShift distributed tracing, review the installation activities, and ensure that you meet the prerequisites: Possess an active OpenShift Container Platform subscription on your Red Hat account. If you do not have a subscription, contact your sales representative for more information. Review the OpenShift Container Platform 4.10 overview . Install OpenShift Container Platform 4.10. Install OpenShift Container Platform 4.10 on AWS Install OpenShift Container Platform 4.10 on user-provisioned AWS Install OpenShift Container Platform 4.10 on bare metal Install OpenShift Container Platform 4.10 on vSphere Install the version of the OpenShift CLI ( oc ) that matches your OpenShift Container Platform version and add it to your path. An account with the cluster-admin role. 3.1.2. Red Hat OpenShift distributed tracing installation overview The steps for installing Red Hat OpenShift distributed tracing are as follows: Review the documentation and determine your deployment strategy. If your deployment strategy requires persistent storage, install the OpenShift Elasticsearch Operator via the OperatorHub. Install the Red Hat OpenShift distributed tracing platform Operator via the OperatorHub. Modify the custom resource YAML file to support your deployment strategy. Deploy one or more instances of Red Hat OpenShift distributed tracing platform to your OpenShift Container Platform environment. 3.1.3. Installing the OpenShift Elasticsearch Operator The default Red Hat OpenShift distributed tracing platform deployment uses in-memory storage because it is designed to be installed quickly for those evaluating Red Hat OpenShift distributed tracing, giving demonstrations, or using Red Hat OpenShift distributed tracing platform in a test environment. If you plan to use Red Hat OpenShift distributed tracing platform in production, you must install and configure a persistent storage option, in this case, Elasticsearch. Prerequisites You have access to the OpenShift Container Platform web console. 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. Warning Do not install Community versions of the Operators. Community Operators are not supported. Note If you have already installed the OpenShift Elasticsearch Operator as part of OpenShift Logging, you do not need to install the OpenShift Elasticsearch Operator again. The Red Hat OpenShift distributed tracing platform Operator creates the Elasticsearch instance using the installed OpenShift Elasticsearch Operator. Procedure Log in to the OpenShift Container Platform web console 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. Navigate to Operators OperatorHub . Type Elasticsearch into the filter box to locate the OpenShift Elasticsearch Operator. Click the OpenShift Elasticsearch Operator provided by Red Hat to display information about the Operator. Click Install . On the Install Operator page, select the stable Update Channel. This automatically updates your Operator as new versions are released. Accept the default All namespaces on the cluster (default) . This installs the Operator in the default openshift-operators-redhat project and makes the Operator available to all projects in the cluster. Note The Elasticsearch installation requires the openshift-operators-redhat namespace for the OpenShift Elasticsearch Operator. The other Red Hat OpenShift distributed tracing Operators are installed in the openshift-operators namespace. Accept the default Automatic approval strategy. By accepting the default, when a new version of this Operator is available, Operator Lifecycle Manager (OLM) automatically upgrades the running instance of your Operator without human intervention. If you select Manual updates, when a newer version of an Operator is available, OLM creates an update request. As a cluster administrator, you must then manually approve that update request to have the Operator updated to the new version. Note The Manual approval strategy requires a user with appropriate credentials to approve the Operator install and subscription process. Click Install . On the Installed Operators page, select the openshift-operators-redhat project. Wait until you see that the OpenShift Elasticsearch Operator shows a status of "InstallSucceeded" before continuing. 3.1.4. Installing the Red Hat OpenShift distributed tracing platform Operator To install Red Hat OpenShift distributed tracing platform, you use the OperatorHub to install the Red Hat OpenShift distributed tracing platform Operator. By default, the Operator is installed in the openshift-operators project. Prerequisites You have access to the OpenShift Container Platform web console. 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. If you require persistent storage, you must also install the OpenShift Elasticsearch Operator before installing the Red Hat OpenShift distributed tracing platform Operator. Warning Do not install Community versions of the Operators. Community Operators are not supported. Procedure Log in to the OpenShift Container Platform web console 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. Navigate to Operators OperatorHub . Type distributed tracing platform into the filter to locate the Red Hat OpenShift distributed tracing platform Operator. Click the Red Hat OpenShift distributed tracing platform Operator provided by Red Hat to display information about the Operator. Click Install . On the Install Operator page, select the stable Update Channel. This automatically updates your Operator as new versions are released. Accept the default All namespaces on the cluster (default) . This installs the Operator in the default openshift-operators project and makes the Operator available to all projects in the cluster. Accept the default Automatic approval strategy. By accepting the default, when a new version of this Operator is available, Operator Lifecycle Manager (OLM) automatically upgrades the running instance of your Operator without human intervention. If you select Manual updates, when a newer version of an Operator is available, OLM creates an update request. As a cluster administrator, you must then manually approve that update request to have the Operator updated to the new version. Note The Manual approval strategy requires a user with appropriate credentials to approve the Operator install and subscription process. Click Install . Navigate to Operators Installed Operators . On the Installed Operators page, select the openshift-operators project. Wait until you see that the Red Hat OpenShift distributed tracing platform Operator shows a status of "Succeeded" before continuing. 3.1.5. Installing the Red Hat OpenShift distributed tracing data collection Operator Important The Red Hat OpenShift distributed tracing data collection Operator 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 . To install Red Hat OpenShift distributed tracing data collection, you use the OperatorHub to install the Red Hat OpenShift distributed tracing data collection Operator. By default, the Operator is installed in the openshift-operators project. Prerequisites You have access to the OpenShift Container Platform web console. 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. Warning Do not install Community versions of the Operators. Community Operators are not supported. Procedure Log in to the OpenShift Container Platform web console 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. Navigate to Operators OperatorHub . Type distributed tracing data collection into the filter to locate the Red Hat OpenShift distributed tracing data collection Operator. Click the Red Hat OpenShift distributed tracing data collection Operator provided by Red Hat to display information about the Operator. Click Install . On the Install Operator page, accept the default stable Update channel. This automatically updates your Operator as new versions are released. Accept the default All namespaces on the cluster (default) . This installs the Operator in the default openshift-operators project and makes the Operator available to all projects in the cluster. Accept the default Automatic approval strategy. By accepting the default, when a new version of this Operator is available, Operator Lifecycle Manager (OLM) automatically upgrades the running instance of your Operator without human intervention. If you select Manual updates, when a newer version of an Operator is available, OLM creates an update request. As a cluster administrator, you must then manually approve that update request to have the Operator updated to the new version. Note The Manual approval strategy requires a user with appropriate credentials to approve the Operator install and subscription process. Click Install . Navigate to Operators Installed Operators . On the Installed Operators page, select the openshift-operators project. Wait until you see that the Red Hat OpenShift distributed tracing data collection Operator shows a status of "Succeeded" before continuing. 3.2. Configuring and deploying distributed tracing The Red Hat OpenShift distributed tracing platform 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 resources. You can either install the default configuration or modify the file to better suit your business requirements. Red Hat OpenShift distributed tracing platform has predefined deployment strategies. You specify a deployment strategy in the custom resource file. When you create a distributed tracing platform instance the Operator uses this configuration file to create the objects necessary for the deployment. Jaeger custom resource file showing deployment strategy apiVersion: jaegertracing.io/v1 kind: Jaeger metadata: name: MyConfigFile spec: strategy: production 1 1 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; it is not intended for production use. The main backend components, Agent, Collector, and Query service, are all packaged into a single executable which is configured, by default. to use in-memory storage. Note In-memory storage is not persistent, which means that if the distributed tracing platform instance shuts down, restarts, or is replaced, that 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, as well as a more scalable and highly available architecture is required. Each of the backend components 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 - currently Elasticsearch. Multiple instances of each of these components can be provisioned as required for performance and resilience purposes. streaming - The streaming strategy is designed to augment the production strategy by providing a streaming capability that effectively sits between the Collector and the Elasticsearch backend storage. This provides the benefit of reducing the pressure on the backend 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 ). Note The streaming strategy requires an additional Red Hat subscription for AMQ Streams. Note The streaming deployment strategy is currently unsupported on IBM Z. Note There are two ways to install and use Red Hat OpenShift distributed tracing, as part of a service mesh or as a stand alone component. If you have installed distributed tracing as part of Red Hat OpenShift Service Mesh, you can perform basic configuration as part of the ServiceMeshControlPlane but for completely control you should configure a Jaeger CR and then reference your distributed tracing configuration file in the ServiceMeshControlPlane . 3.2.1. Deploying the distributed tracing default strategy from the web console The custom resource definition (CRD) defines the configuration used when you deploy an instance of Red Hat OpenShift distributed tracing. The default CR is named jaeger-all-in-one-inmemory and it is configured with minimal resources to ensure that you can successfully install it on a default OpenShift Container Platform installation. You can use this default configuration to create a Red Hat OpenShift distributed tracing platform instance that uses the AllInOne deployment strategy, or you can define your own custom resource file. Note In-memory storage is not persistent. If the Jaeger pod shuts down, restarts, or is replaced, your trace data will be lost. For persistent storage, you must use the production or streaming strategies, which use Elasticsearch as the default storage. Prerequisites The Red Hat OpenShift distributed tracing platform Operator has been installed. You have reviewed the instructions for how to customize the deployment. You have access to the cluster as a user with the cluster-admin role. Procedure Log in to the OpenShift Container Platform web console as a user with the cluster-admin role. Create a new project, for example tracing-system . Note If you are installing as part of Service Mesh, the distributed tracing resources must be installed in the same namespace as the ServiceMeshControlPlane resource, for example istio-system . Navigate to Home Projects . Click Create Project . Enter tracing-system in the Name field. Click Create . Navigate to Operators Installed Operators . If necessary, select tracing-system from the Project menu. You may have to wait a few moments for the Operators to be copied to the new project. Click the Red Hat OpenShift distributed tracing platform Operator. On the Details tab, under Provided APIs , the Operator provides a single link. Under Jaeger , click Create Instance . On the Create Jaeger page, to install using the defaults, click Create to create the distributed tracing platform instance. On the Jaegers page, click the name of the distributed tracing platform instance, for example, jaeger-all-in-one-inmemory . On the Jaeger Details page, click the Resources tab. Wait until the pod has a status of "Running" before continuing. 3.2.1.1. Deploying the distributed tracing default strategy from the CLI Follow this procedure to create an instance of distributed tracing platform from the command line. Prerequisites The Red Hat OpenShift distributed tracing platform Operator has been installed and verified. You have reviewed the instructions for how to customize the deployment. You have access to the OpenShift CLI ( oc ) that matches your OpenShift Container Platform version. You have access to the cluster as a user with the cluster-admin role. Procedure Log in to the OpenShift Container Platform CLI as a user with the cluster-admin role. USD oc login --username=<NAMEOFUSER> https://<HOSTNAME>:8443 Create a new project named tracing-system . USD oc new-project tracing-system Create a custom resource file named jaeger.yaml that contains the following text: Example jaeger-all-in-one.yaml apiVersion: jaegertracing.io/v1 kind: Jaeger metadata: name: jaeger-all-in-one-inmemory Run the following command to deploy distributed tracing platform: USD oc create -n tracing-system -f jaeger.yaml Run the following command to watch the progress of the pods during the installation process: USD oc get pods -n tracing-system -w After the installation process has completed, you should see output similar to the following example: NAME READY STATUS RESTARTS AGE jaeger-all-in-one-inmemory-cdff7897b-qhfdx 2/2 Running 0 24s 3.2.2. Deploying the distributed tracing production strategy from the web console The production deployment strategy is intended for production environments that require a more scalable and highly available architecture, and where long-term storage of trace data is important. Prerequisites The OpenShift Elasticsearch Operator has been installed. The Red Hat OpenShift distributed tracing platform Operator has been installed. You have reviewed the instructions for how to customize the deployment. You have access to the cluster as a user with the cluster-admin role. Procedure Log in to the OpenShift Container Platform web console as a user with the cluster-admin role. Create a new project, for example tracing-system . Note If you are installing as part of Service Mesh, the distributed tracing resources must be installed in the same namespace as the ServiceMeshControlPlane resource, for example istio-system . Navigate to Home Projects . Click Create Project . Enter tracing-system in the Name field. Click Create . Navigate to Operators Installed Operators . If necessary, select tracing-system from the Project menu. You may have to wait a few moments for the Operators to be copied to the new project. Click the Red Hat OpenShift distributed tracing platform Operator. On the Overview tab, under Provided APIs , the Operator provides a single link. Under Jaeger , click Create Instance . On the Create Jaeger page, replace the default all-in-one YAML text with your production YAML configuration, for example: Example jaeger-production.yaml file with Elasticsearch apiVersion: jaegertracing.io/v1 kind: Jaeger metadata: name: jaeger-production namespace: spec: strategy: production ingress: security: oauth-proxy storage: type: elasticsearch elasticsearch: nodeCount: 3 redundancyPolicy: SingleRedundancy esIndexCleaner: enabled: true numberOfDays: 7 schedule: 55 23 * * * esRollover: schedule: '*/30 * * * *' Click Create to create the distributed tracing platform instance. On the Jaegers page, click the name of the distributed tracing platform instance, for example, jaeger-prod-elasticsearch . On the Jaeger Details page, click the Resources tab. Wait until all the pods have a status of "Running" before continuing. 3.2.2.1. Deploying the distributed tracing production strategy from the CLI Follow this procedure to create an instance of distributed tracing platform from the command line. Prerequisites The OpenShift Elasticsearch Operator has been installed. The Red Hat OpenShift distributed tracing platform Operator has been installed. You have reviewed the instructions for how to customize the deployment. You have access to the OpenShift CLI ( oc ) that matches your OpenShift Container Platform version. You have access to the cluster as a user with the cluster-admin role. Procedure Log in to the OpenShift Container Platform CLI as a user with the cluster-admin role. USD oc login --username=<NAMEOFUSER> https://<HOSTNAME>:8443 Create a new project named tracing-system . USD oc new-project tracing-system Create a custom resource file named jaeger-production.yaml that contains the text of the example file in the procedure. Run the following command to deploy distributed tracing platform: USD oc create -n tracing-system -f jaeger-production.yaml Run the following command to watch the progress of the pods during the installation process: USD oc get pods -n tracing-system -w After the installation process has completed, you should see output similar to the following example: NAME READY STATUS RESTARTS AGE elasticsearch-cdm-jaegersystemjaegerproduction-1-6676cf568gwhlw 2/2 Running 0 10m elasticsearch-cdm-jaegersystemjaegerproduction-2-bcd4c8bf5l6g6w 2/2 Running 0 10m elasticsearch-cdm-jaegersystemjaegerproduction-3-844d6d9694hhst 2/2 Running 0 10m jaeger-production-collector-94cd847d-jwjlj 1/1 Running 3 8m32s jaeger-production-query-5cbfbd499d-tv8zf 3/3 Running 3 8m32s 3.2.3. Deploying the distributed tracing streaming strategy from the web console The streaming deployment strategy is intended for production environments that require a more scalable and highly available architecture, and where long-term storage of trace data is important. The streaming strategy provides a streaming capability that sits between the Collector and the Elasticsearch storage. This reduces the pressure on the storage under high load situations, and enables other trace post-processing capabilities to tap into the real-time span data directly from the Kafka streaming platform. Note The streaming strategy requires an additional Red Hat subscription for AMQ Streams. If you do not have an AMQ Streams subscription, contact your sales representative for more information. Note The streaming deployment strategy is currently unsupported on IBM Z. Prerequisites The AMQ Streams Operator has been installed. If using version 1.4.0 or higher you can use self-provisioning. Otherwise you must create the Kafka instance. The Red Hat OpenShift distributed tracing platform Operator has been installed. You have reviewed the instructions for how to customize the deployment. You have access to the cluster as a user with the cluster-admin role. Procedure Log in to the OpenShift Container Platform web console as a user with the cluster-admin role. Create a new project, for example tracing-system . Note If you are installing as part of Service Mesh, the distributed tracing resources must be installed in the same namespace as the ServiceMeshControlPlane resource, for example istio-system . Navigate to Home Projects . Click Create Project . Enter tracing-system in the Name field. Click Create . Navigate to Operators Installed Operators . If necessary, select tracing-system from the Project menu. You may have to wait a few moments for the Operators to be copied to the new project. Click the Red Hat OpenShift distributed tracing platform Operator. On the Overview tab, under Provided APIs , the Operator provides a single link. Under Jaeger , click Create Instance . On the Create Jaeger page, replace the default all-in-one YAML text with your streaming YAML configuration, for example: Example jaeger-streaming.yaml file apiVersion: jaegertracing.io/v1 kind: Jaeger metadata: name: jaeger-streaming spec: strategy: streaming collector: options: kafka: producer: topic: jaeger-spans #Note: If brokers are not defined,AMQStreams 1.4.0+ will self-provision Kafka. brokers: my-cluster-kafka-brokers.kafka:9092 storage: type: elasticsearch ingester: options: kafka: consumer: topic: jaeger-spans brokers: my-cluster-kafka-brokers.kafka:9092 Click Create to create the distributed tracing platform instance. On the Jaegers page, click the name of the distributed tracing platform instance, for example, jaeger-streaming . On the Jaeger Details page, click the Resources tab. Wait until all the pods have a status of "Running" before continuing. 3.2.3.1. Deploying the distributed tracing streaming strategy from the CLI Follow this procedure to create an instance of distributed tracing platform from the command line. Prerequisites The AMQ Streams Operator has been installed. If using version 1.4.0 or higher you can use self-provisioning. Otherwise you must create the Kafka instance. The Red Hat OpenShift distributed tracing platform Operator has been installed. You have reviewed the instructions for how to customize the deployment. You have access to the OpenShift CLI ( oc ) that matches your OpenShift Container Platform version. You have access to the cluster as a user with the cluster-admin role. Procedure Log in to the OpenShift Container Platform CLI as a user with the cluster-admin role. USD oc login --username=<NAMEOFUSER> https://<HOSTNAME>:8443 Create a new project named tracing-system . USD oc new-project tracing-system Create a custom resource file named jaeger-streaming.yaml that contains the text of the example file in the procedure. Run the following command to deploy Jaeger: USD oc create -n tracing-system -f jaeger-streaming.yaml Run the following command to watch the progress of the pods during the installation process: USD oc get pods -n tracing-system -w After the installation process has completed, you should see output similar to the following example: NAME READY STATUS RESTARTS AGE elasticsearch-cdm-jaegersystemjaegerstreaming-1-697b66d6fcztcnn 2/2 Running 0 5m40s elasticsearch-cdm-jaegersystemjaegerstreaming-2-5f4b95c78b9gckz 2/2 Running 0 5m37s elasticsearch-cdm-jaegersystemjaegerstreaming-3-7b6d964576nnz97 2/2 Running 0 5m5s jaeger-streaming-collector-6f6db7f99f-rtcfm 1/1 Running 0 80s jaeger-streaming-entity-operator-6b6d67cc99-4lm9q 3/3 Running 2 2m18s jaeger-streaming-ingester-7d479847f8-5h8kc 1/1 Running 0 80s jaeger-streaming-kafka-0 2/2 Running 0 3m1s jaeger-streaming-query-65bf5bb854-ncnc7 3/3 Running 0 80s jaeger-streaming-zookeeper-0 2/2 Running 0 3m39s 3.2.4. Validating your deployment 3.2.4.1. Accessing the Jaeger console To access the Jaeger console you must have either Red Hat OpenShift Service Mesh or Red Hat OpenShift distributed tracing installed, and Red Hat OpenShift distributed tracing platform installed, configured, and deployed. The installation process creates a route to access the Jaeger console. If you know the URL for the Jaeger console, you can access it directly. If you do not know the URL, use the following directions. Procedure from OpenShift console Log in to the OpenShift Container Platform web console as a user with cluster-admin rights. If you use Red Hat OpenShift Dedicated, you must have an account with the dedicated-admin role. Navigate to Networking Routes . On the Routes page, select the control plane project, for example tracing-system , from the Namespace menu. The Location column displays the linked address for each route. If necessary, use the filter to find the jaeger route. Click the route Location to launch the console. Click Log In With OpenShift . Procedure from the CLI 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. USD oc login --username=<NAMEOFUSER> https://<HOSTNAME>:6443 To query for details of the route using the command line, enter the following command. In this example, tracing-system is the control plane namespace. USD export JAEGER_URL=USD(oc get route -n tracing-system jaeger -o jsonpath='{.spec.host}') Launch a browser and navigate to https://<JAEGER_URL> , where <JAEGER_URL> is the route that you discovered in the step. Log in using the same user name and password that you use to access the OpenShift Container Platform console. If you have added services to the service mesh and have generated traces, you can use the filters and Find Traces button to search your trace data. If you are validating the console installation, there is no trace data to display. 3.2.5. Customizing your deployment 3.2.5.1. 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. 3.2.5.2. Distributed tracing default configuration options The Jaeger custom resource (CR) defines the architecture and settings to be used when creating the distributed tracing platform resources. You can modify these parameters to customize your distributed tracing platform implementation to your business needs. Jaeger generic YAML example apiVersion: jaegertracing.io/v1 kind: Jaeger metadata: name: name spec: strategy: <deployment_strategy> allInOne: options: {} resources: {} agent: options: {} resources: {} collector: options: {} resources: {} sampling: options: {} storage: type: options: {} query: options: {} resources: {} ingester: options: {} resources: {} options: {} Table 3.1. Jaeger parameters Parameter Description Values Default value apiVersion: API version to use when creating the object. jaegertracing.io/v1 jaegertracing.io/v1 kind: Defines the kind of Kubernetes object to create. jaeger metadata: Data that helps uniquely identify 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. The name of your distributed tracing platform instance. jaeger-all-in-one-inmemory spec: Specification for the object to be created. Contains all of the configuration parameters for your distributed tracing platform instance. When a common definition for all Jaeger components is required, it is defined under the spec node. When the definition relates to an individual component, it is placed under the spec/<component> node. N/A strategy: Jaeger deployment strategy allInOne , production , or streaming allInOne allInOne: Because the allInOne image deploys the Agent, Collector, Query, Ingester, and Jaeger UI in a single pod, configuration for this deployment must nest component configuration under the allInOne parameter. agent: Configuration options that define the Agent. collector: Configuration options that define the Jaeger Collector. sampling: Configuration options that define the sampling strategies for tracing. storage: Configuration options that define the storage. All storage-related options must be placed under storage , rather than under the allInOne or other component options. query: Configuration options that define the Query service. ingester: Configuration options that define the Ingester service. The following example YAML is the minimum required to create a Red Hat OpenShift distributed tracing platform deployment using the default settings. Example minimum required dist-tracing-all-in-one.yaml apiVersion: jaegertracing.io/v1 kind: Jaeger metadata: name: jaeger-all-in-one-inmemory 3.2.5.3. Jaeger Collector configuration options The Jaeger Collector is the component responsible for receiving the spans that were captured by the tracer and writing them to persistent Elasticsearch storage when using the production strategy, or to AMQ Streams when using the streaming strategy. The Collectors are stateless and thus many instances of Jaeger Collector can be run in parallel. Collectors require almost no configuration, except for the location of the Elasticsearch cluster. Table 3.2. Parameters used by the Operator to define the Jaeger Collector Parameter Description Values Specifies the number of Collector replicas to create. Integer, for example, 5 Table 3.3. Configuration parameters passed to the Collector Parameter Description Values Configuration options that define the Jaeger Collector. The number of workers pulling from the queue. Integer, for example, 50 The size of the Collector queue. Integer, for example, 2000 The topic parameter identifies the Kafka configuration used by the Collector to produce the messages, and the Ingester to consume the messages. Label for the producer. Identifies the Kafka configuration used by the Collector to produce the messages. If brokers are not specified, and you have AMQ Streams 1.4.0+ installed, the Red Hat OpenShift distributed tracing platform Operator will self-provision Kafka. Logging level for the Collector. Possible values: debug , info , warn , error , fatal , panic . 3.2.5.4. Distributed tracing sampling configuration options The Red Hat OpenShift distributed tracing platform Operator can be used to define sampling strategies that will be supplied to tracers that have been configured to use a remote sampler. While all traces are generated, only a few are sampled. Sampling a trace marks the trace for further processing and storage. Note This is not relevant if a trace was started by the Envoy proxy, as the sampling decision is made there. The Jaeger sampling decision is only relevant when the trace is started by an application using the client. When a service receives a request that contains no trace context, the client starts a new trace, assigns it a random trace ID, and makes a sampling decision based on the currently installed sampling strategy. The sampling decision propagates to all subsequent requests in the trace so that other services are not making the sampling decision again. distributed tracing platform libraries support the following samplers: Probabilistic - The sampler makes a random sampling decision with the probability of sampling equal to the value of the sampling.param property. For example, using sampling.param=0.1 samples approximately 1 in 10 traces. Rate Limiting - The sampler uses a leaky bucket rate limiter to ensure that traces are sampled with a certain constant rate. For example, using sampling.param=2.0 samples requests with the rate of 2 traces per second. Table 3.4. Jaeger sampling options Parameter Description Values Default value Configuration options that define the sampling strategies for tracing. If you do not provide configuration, the Collectors will return the default probabilistic sampling policy with 0.001 (0.1%) probability for all services. Sampling strategy to use. See descriptions above. Valid values are probabilistic , and ratelimiting . probabilistic Parameters for the selected sampling strategy. Decimal and integer values (0, .1, 1, 10) 1 This example defines a default sampling strategy that is probabilistic, with a 50% chance of the trace instances being sampled. Probabilistic sampling example apiVersion: jaegertracing.io/v1 kind: Jaeger metadata: name: with-sampling spec: sampling: options: default_strategy: type: probabilistic param: 0.5 service_strategies: - service: alpha type: probabilistic param: 0.8 operation_strategies: - operation: op1 type: probabilistic param: 0.2 - operation: op2 type: probabilistic param: 0.4 - service: beta type: ratelimiting param: 5 If there are no user-supplied configurations, the distributed tracing platform uses the following settings: Default sampling spec: sampling: options: default_strategy: type: probabilistic param: 1 3.2.5.5. Distributed tracing storage configuration options You configure storage for the Collector, Ingester, and Query services under spec.storage . Multiple instances of each of these components can be provisioned as required for performance and resilience purposes. Table 3.5. General storage parameters used by the Red Hat OpenShift distributed tracing platform Operator to define distributed tracing storage Parameter Description Values Default value Type of storage to use for the deployment. memory or elasticsearch . Memory storage is only appropriate for development, testing, demonstrations, and proof of concept environments as the data does not persist if the pod is shut down. For production environments distributed tracing platform supports Elasticsearch for persistent storage. memory Name of the secret, for example tracing-secret . N/A Configuration options that define the storage. Table 3.6. Elasticsearch index cleaner parameters Parameter Description Values Default value When using Elasticsearch storage, by default a job is created to clean old traces from the index. This parameter enables or disables the index cleaner job. true / false true Number of days to wait before deleting an index. Integer value 7 Defines the schedule for how often to clean the Elasticsearch index. Cron expression "55 23 * * *" 3.2.5.5.1. Auto-provisioning an Elasticsearch instance When you deploy a Jaeger custom resource, the Red Hat OpenShift distributed tracing platform Operator uses the OpenShift Elasticsearch Operator to create an Elasticsearch cluster based on the configuration provided in the storage section of the custom resource file. The Red Hat OpenShift distributed tracing platform Operator will provision Elasticsearch if the following configurations are set: spec.storage:type is set to elasticsearch spec.storage.elasticsearch.doNotProvision set to false spec.storage.options.es.server-urls is not defined, that is, there is no connection to an Elasticsearch instance that was not provisioned by the Red Hat Elasticsearch Operator. When provisioning Elasticsearch, the Red Hat OpenShift distributed tracing platform Operator sets the Elasticsearch custom resource name to the value of spec.storage.elasticsearch.name from the Jaeger custom resource. If you do not specify a value for spec.storage.elasticsearch.name , the Operator uses elasticsearch . Restrictions You can have only one distributed tracing platform with self-provisioned Elasticsearch instance per namespace. The Elasticsearch cluster is meant to be dedicated for a single distributed tracing platform instance. There can be only one Elasticsearch per namespace. Note If you already have installed Elasticsearch as part of OpenShift Logging, the Red Hat OpenShift distributed tracing platform Operator can use the installed OpenShift Elasticsearch Operator to provision storage. The following configuration parameters are for a self-provisioned Elasticsearch instance, that is an instance created by the Red Hat OpenShift distributed tracing platform Operator using the OpenShift Elasticsearch Operator. You specify configuration options for self-provisioned Elasticsearch under spec:storage:elasticsearch in your configuration file. Table 3.7. Elasticsearch resource configuration parameters Parameter Description Values Default value Use to specify whether or not an Elasticsearch instance should be provisioned by the Red Hat OpenShift distributed tracing platform Operator. true / false true Name of the Elasticsearch instance. The Red Hat OpenShift distributed tracing platform Operator uses the Elasticsearch instance specified in this parameter to connect to Elasticsearch. string elasticsearch Number of Elasticsearch nodes. For high availability use at least 3 nodes. Do not use 2 nodes as "split brain" problem can happen. Integer value. For example, Proof of concept = 1, Minimum deployment =3 3 Number of central processing units for requests, based on your environment's configuration. Specified in cores or millicores, for example, 200m, 0.5, 1. For example, Proof of concept = 500m, Minimum deployment =1 1 Available memory for requests, based on your environment's configuration. Specified in bytes, for example, 200Ki, 50Mi, 5Gi. For example, Proof of concept = 1Gi, Minimum deployment = 16Gi* 16Gi Limit on number of central processing units, based on your environment's configuration. Specified in cores or millicores, for example, 200m, 0.5, 1. For example, Proof of concept = 500m, Minimum deployment =1 Available memory limit based on your environment's configuration. Specified in bytes, for example, 200Ki, 50Mi, 5Gi. For example, Proof of concept = 1Gi, Minimum deployment = 16Gi* Data replication policy defines how Elasticsearch shards are replicated across data nodes in the cluster. If not specified, the Red Hat OpenShift distributed tracing platform Operator automatically determines the most appropriate replication based on number of nodes. ZeroRedundancy (no replica shards), SingleRedundancy (one replica shard), MultipleRedundancy (each index is spread over half of the Data nodes), FullRedundancy (each index is fully replicated on every Data node in the cluster). Use to specify whether or not distributed tracing platform should use the certificate management feature of the Red Hat Elasticsearch Operator. This feature was added to logging subsystem for Red Hat OpenShift 5.2 in OpenShift Container Platform 4.7 and is the preferred setting for new Jaeger deployments. true / false true *Each Elasticsearch node can operate with a lower memory setting though this is NOT recommended for production deployments. For production use, you should have no less than 16Gi allocated to each pod by default, but preferably allocate as much as you can, up to 64Gi per pod. Production storage example apiVersion: jaegertracing.io/v1 kind: Jaeger metadata: name: simple-prod spec: strategy: production storage: type: elasticsearch elasticsearch: nodeCount: 3 resources: requests: cpu: 1 memory: 16Gi limits: memory: 16Gi Storage example with persistent storage: apiVersion: jaegertracing.io/v1 kind: Jaeger metadata: name: simple-prod spec: strategy: production storage: type: elasticsearch elasticsearch: nodeCount: 1 storage: 1 storageClassName: gp2 size: 5Gi resources: requests: cpu: 200m memory: 4Gi limits: memory: 4Gi redundancyPolicy: ZeroRedundancy 1 Persistent storage configuration. In this case AWS gp2 with 5Gi size. When no value is specified, distributed tracing platform uses emptyDir . The OpenShift Elasticsearch Operator provisions PersistentVolumeClaim and PersistentVolume which are not removed with distributed tracing platform instance. You can mount the same volumes if you create a distributed tracing platform instance with the same name and namespace. 3.2.5.5.2. Connecting to an existing Elasticsearch instance You can use an existing Elasticsearch cluster for storage with distributed tracing. An existing Elasticsearch cluster, also known as an external Elasticsearch instance, is an instance that was not installed by the Red Hat OpenShift distributed tracing platform Operator or by the Red Hat Elasticsearch Operator. When you deploy a Jaeger custom resource, the Red Hat OpenShift distributed tracing platform Operator will not provision Elasticsearch if the following configurations are set: spec.storage.elasticsearch.doNotProvision set to true spec.storage.options.es.server-urls has a value spec.storage.elasticsearch.name has a value, or if the Elasticsearch instance name is elasticsearch . The Red Hat OpenShift distributed tracing platform Operator uses the Elasticsearch instance specified in spec.storage.elasticsearch.name to connect to Elasticsearch. Restrictions You cannot share or reuse a OpenShift Container Platform logging Elasticsearch instance with distributed tracing platform. The Elasticsearch cluster is meant to be dedicated for a single distributed tracing platform instance. Note Red Hat does not provide support for your external Elasticsearch instance. You can review the tested integrations matrix on the Customer Portal . The following configuration parameters are for an already existing Elasticsearch instance, also known as an external Elasticsearch instance. In this case, you specify configuration options for Elasticsearch under spec:storage:options:es in your custom resource file. Table 3.8. General ES configuration parameters Parameter Description Values Default value URL of the Elasticsearch instance. The fully-qualified domain name of the Elasticsearch server. http://elasticsearch.<namespace>.svc:9200 The maximum document count to return from an Elasticsearch query. This will also apply to aggregations. If you set both es.max-doc-count and es.max-num-spans , Elasticsearch will use the smaller value of the two. 10000 [ Deprecated - Will be removed in a future release, use es.max-doc-count instead.] The maximum number of spans to fetch at a time, per query, in Elasticsearch. If you set both es.max-num-spans and es.max-doc-count , Elasticsearch will use the smaller value of the two. 10000 The maximum lookback for spans in Elasticsearch. 72h0m0s The sniffer configuration for Elasticsearch. The client uses the sniffing process to find all nodes automatically. Disabled by default. true / false false Option to enable TLS when sniffing an Elasticsearch Cluster. The client uses the sniffing process to find all nodes automatically. Disabled by default true / false false Timeout used for queries. When set to zero there is no timeout. 0s The username required by Elasticsearch. The basic authentication also loads CA if it is specified. See also es.password . The password required by Elasticsearch. See also, es.username . The major Elasticsearch version. If not specified, the value will be auto-detected from Elasticsearch. 0 Table 3.9. ES data replication parameters Parameter Description Values Default value The number of replicas per index in Elasticsearch. 1 The number of shards per index in Elasticsearch. 5 Table 3.10. ES index configuration parameters Parameter Description Values Default value Automatically create index templates at application startup when set to true . When templates are installed manually, set to false . true / false true Optional prefix for distributed tracing platform indices. For example, setting this to "production" creates indices named "production-tracing-*". Table 3.11. ES bulk processor configuration parameters Parameter Description Values Default value The number of requests that can be added to the queue before the bulk processor decides to commit updates to disk. 1000 A time.Duration after which bulk requests are committed, regardless of other thresholds. To disable the bulk processor flush interval, set this to zero. 200ms The number of bytes that the bulk requests can take up before the bulk processor decides to commit updates to disk. 5000000 The number of workers that are able to receive and commit bulk requests to Elasticsearch. 1 Table 3.12. ES TLS configuration parameters Parameter Description Values Default value Path to a TLS Certification Authority (CA) file used to verify the remote servers. Will use the system truststore by default. Path to a TLS Certificate file, used to identify this process to the remote servers. Enable transport layer security (TLS) when talking to the remote servers. Disabled by default. true / false false Path to a TLS Private Key file, used to identify this process to the remote servers. Override the expected TLS server name in the certificate of the remote servers. Path to a file containing the bearer token. This flag also loads the Certification Authority (CA) file if it is specified. Table 3.13. ES archive configuration parameters Parameter Description Values Default value The number of requests that can be added to the queue before the bulk processor decides to commit updates to disk. 0 A time.Duration after which bulk requests are committed, regardless of other thresholds. To disable the bulk processor flush interval, set this to zero. 0s The number of bytes that the bulk requests can take up before the bulk processor decides to commit updates to disk. 0 The number of workers that are able to receive and commit bulk requests to Elasticsearch. 0 Automatically create index templates at application startup when set to true . When templates are installed manually, set to false . true / false false Enable extra storage. true / false false Optional prefix for distributed tracing platform indices. For example, setting this to "production" creates indices named "production-tracing-*". The maximum document count to return from an Elasticsearch query. This will also apply to aggregations. 0 [ Deprecated - Will be removed in a future release, use es-archive.max-doc-count instead.] The maximum number of spans to fetch at a time, per query, in Elasticsearch. 0 The maximum lookback for spans in Elasticsearch. 0s The number of replicas per index in Elasticsearch. 0 The number of shards per index in Elasticsearch. 0 The password required by Elasticsearch. See also, es.username . The comma-separated list of Elasticsearch servers. Must be specified as fully qualified URLs, for example, http://localhost:9200 . The sniffer configuration for Elasticsearch. The client uses the sniffing process to find all nodes automatically. Disabled by default. true / false false Option to enable TLS when sniffing an Elasticsearch Cluster. The client uses the sniffing process to find all nodes automatically. Disabled by default. true / false false Timeout used for queries. When set to zero there is no timeout. 0s Path to a TLS Certification Authority (CA) file used to verify the remote servers. Will use the system truststore by default. Path to a TLS Certificate file, used to identify this process to the remote servers. Enable transport layer security (TLS) when talking to the remote servers. Disabled by default. true / false false Path to a TLS Private Key file, used to identify this process to the remote servers. Override the expected TLS server name in the certificate of the remote servers. Path to a file containing the bearer token. This flag also loads the Certification Authority (CA) file if it is specified. The username required by Elasticsearch. The basic authentication also loads CA if it is specified. See also es-archive.password . The major Elasticsearch version. If not specified, the value will be auto-detected from Elasticsearch. 0 Storage example with volume mounts apiVersion: jaegertracing.io/v1 kind: Jaeger metadata: name: simple-prod spec: strategy: production storage: type: elasticsearch options: es: server-urls: https://quickstart-es-http.default.svc:9200 index-prefix: my-prefix tls: ca: /es/certificates/ca.crt secretName: tracing-secret volumeMounts: - name: certificates mountPath: /es/certificates/ readOnly: true volumes: - name: certificates secret: secretName: quickstart-es-http-certs-public The following example shows a Jaeger CR using an external Elasticsearch cluster with TLS CA certificate mounted from a volume and user/password stored in a secret. External Elasticsearch example: apiVersion: jaegertracing.io/v1 kind: Jaeger metadata: name: simple-prod spec: strategy: production storage: type: elasticsearch options: es: server-urls: https://quickstart-es-http.default.svc:9200 1 index-prefix: my-prefix tls: 2 ca: /es/certificates/ca.crt secretName: tracing-secret 3 volumeMounts: 4 - name: certificates mountPath: /es/certificates/ readOnly: true volumes: - name: certificates secret: secretName: quickstart-es-http-certs-public 1 URL to Elasticsearch service running in default namespace. 2 TLS configuration. In this case only CA certificate, but it can also contain es.tls.key and es.tls.cert when using mutual TLS. 3 Secret which defines environment variables ES_PASSWORD and ES_USERNAME. Created by kubectl create secret generic tracing-secret --from-literal=ES_PASSWORD=changeme --from-literal=ES_USERNAME=elastic 4 Volume mounts and volumes which are mounted into all storage components. 3.2.5.6. Managing certificates with Elasticsearch You can create and manage certificates using the Red Hat Elasticsearch Operator. Managing certificates using the Red Hat Elasticsearch Operator also lets you use a single Elasticsearch cluster with multiple Jaeger Collectors. Important Managing certificates with Elasticsearch 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 . Starting with version 2.4, the Red Hat OpenShift distributed tracing platform Operator delegates certificate creation to the Red Hat Elasticsearch Operator by using the following annotations in the Elasticsearch custom resource: logging.openshift.io/elasticsearch-cert-management: "true" logging.openshift.io/elasticsearch-cert.jaeger-<shared-es-node-name>: "user.jaeger" logging.openshift.io/elasticsearch-cert.curator-<shared-es-node-name>: "system.logging.curator" Where the <shared-es-node-name> is the name of the Elasticsearch node. For example, if you create an Elasticsearch node named custom-es , your custom resource might look like the following example. Example Elasticsearch CR showing annotations apiVersion: logging.openshift.io/v1 kind: Elasticsearch metadata: annotations: logging.openshift.io/elasticsearch-cert-management: "true" logging.openshift.io/elasticsearch-cert.jaeger-custom-es: "user.jaeger" logging.openshift.io/elasticsearch-cert.curator-custom-es: "system.logging.curator" name: custom-es spec: managementState: Managed nodeSpec: resources: limits: memory: 16Gi requests: cpu: 1 memory: 16Gi nodes: - nodeCount: 3 proxyResources: {} resources: {} roles: - master - client - data storage: {} redundancyPolicy: ZeroRedundancy Prerequisites OpenShift Container Platform 4.7 logging subsystem for Red Hat OpenShift 5.2 The Elasticsearch node and the Jaeger instances must be deployed in the same namespace. For example, tracing-system . You enable certificate management by setting spec.storage.elasticsearch.useCertManagement to true in the Jaeger custom resource. Example showing useCertManagement apiVersion: jaegertracing.io/v1 kind: Jaeger metadata: name: jaeger-prod spec: strategy: production storage: type: elasticsearch elasticsearch: name: custom-es doNotProvision: true useCertManagement: true The Red Hat OpenShift distributed tracing platform Operator sets the Elasticsearch custom resource name to the value of spec.storage.elasticsearch.name from the Jaeger custom resource when provisioning Elasticsearch. The certificates are provisioned by the Red Hat Elasticsearch Operator and the Red Hat OpenShift distributed tracing platform Operator injects the certificates. 3.2.5.7. Query configuration options Query is a service that retrieves traces from storage and hosts the user interface to display them. Table 3.14. Parameters used by the Red Hat OpenShift distributed tracing platform Operator to define Query Parameter Description Values Default value Specifies the number of Query replicas to create. Integer, for example, 2 Table 3.15. Configuration parameters passed to Query Parameter Description Values Default value Configuration options that define the Query service. Logging level for Query. Possible values: debug , info , warn , error , fatal , panic . The base path for all jaeger-query HTTP routes can be set to a non-root value, for example, /jaeger would cause all UI URLs to start with /jaeger . This can be useful when running jaeger-query behind a reverse proxy. /<path> Sample Query configuration apiVersion: jaegertracing.io/v1 kind: "Jaeger" metadata: name: "my-jaeger" spec: strategy: allInOne allInOne: options: log-level: debug query: base-path: /jaeger 3.2.5.8. Ingester configuration options Ingester is a service that reads from a Kafka topic and writes to the Elasticsearch storage backend. If you are using the allInOne or production deployment strategies, you do not need to configure the Ingester service. Table 3.16. Jaeger parameters passed to the Ingester Parameter Description Values Configuration options that define the Ingester service. Specifies the interval, in seconds or minutes, that the Ingester must wait for a message before terminating. The deadlock interval is disabled by default (set to 0 ), to avoid terminating the Ingester when no messages arrive during system initialization. Minutes and seconds, for example, 1m0s . Default value is 0 . The topic parameter identifies the Kafka configuration used by the collector to produce the messages, and the Ingester to consume the messages. Label for the consumer. For example, jaeger-spans . Identifies the Kafka configuration used by the Ingester to consume the messages. Label for the broker, for example, my-cluster-kafka-brokers.kafka:9092 . Logging level for the Ingester. Possible values: debug , info , warn , error , fatal , dpanic , panic . Streaming Collector and Ingester example apiVersion: jaegertracing.io/v1 kind: Jaeger metadata: name: simple-streaming spec: strategy: streaming collector: options: kafka: producer: topic: jaeger-spans brokers: my-cluster-kafka-brokers.kafka:9092 ingester: options: kafka: consumer: topic: jaeger-spans brokers: my-cluster-kafka-brokers.kafka:9092 ingester: deadlockInterval: 5 storage: type: elasticsearch options: es: server-urls: http://elasticsearch:9200 3.2.6. Injecting sidecars Red Hat OpenShift distributed tracing platform relies on a proxy sidecar within the application's pod to provide the agent. The Red Hat OpenShift distributed tracing platform Operator can inject Agent sidecars into Deployment workloads. You can enable automatic sidecar injection or manage it manually. 3.2.6.1. Automatically injecting sidecars The Red Hat OpenShift distributed tracing platform Operator can inject Jaeger Agent sidecars into Deployment workloads. To enable automatic injection of sidecars, add the sidecar.jaegertracing.io/inject annotation set to either the string true or to the distributed tracing platform instance name that is returned by running USD oc get jaegers . When you specify true , there should be only a single distributed tracing platform instance for the same namespace as the deployment, otherwise, the Operator cannot determine which distributed tracing platform instance to use. A specific distributed tracing platform instance name on a deployment has a higher precedence than true applied on its namespace. The following snippet shows a simple application that will inject a sidecar, with the agent pointing to the single distributed tracing platform instance available in the same namespace: Automatic sidecar injection example apiVersion: apps/v1 kind: Deployment metadata: name: myapp annotations: "sidecar.jaegertracing.io/inject": "true" 1 spec: selector: matchLabels: app: myapp template: metadata: labels: app: myapp spec: containers: - name: myapp image: acme/myapp:myversion 1 Set to either the string true or to the Jaeger instance name. When the sidecar is injected, the agent can then be accessed at its default location on localhost . 3.2.6.2. Manually injecting sidecars The Red Hat OpenShift distributed tracing platform Operator can only automatically inject Jaeger Agent sidecars into Deployment workloads. For controller types other than Deployments , such as StatefulSets`and `DaemonSets , you can manually define the Jaeger agent sidecar in your specification. The following snippet shows the manual definition you can include in your containers section for a Jaeger agent sidecar: Sidecar definition example for a StatefulSet apiVersion: apps/v1 kind: StatefulSet metadata: name: example-statefulset namespace: example-ns labels: app: example-app spec: spec: containers: - name: example-app image: acme/myapp:myversion ports: - containerPort: 8080 protocol: TCP - name: jaeger-agent image: registry.redhat.io/distributed-tracing/jaeger-agent-rhel7:<version> # The agent version must match the Operator version imagePullPolicy: IfNotPresent ports: - containerPort: 5775 name: zk-compact-trft protocol: UDP - containerPort: 5778 name: config-rest protocol: TCP - containerPort: 6831 name: jg-compact-trft protocol: UDP - containerPort: 6832 name: jg-binary-trft protocol: UDP - containerPort: 14271 name: admin-http protocol: TCP args: - --reporter.grpc.host-port=dns:///jaeger-collector-headless.example-ns:14250 - --reporter.type=grpc The agent can then be accessed at its default location on localhost. 3.3. Configuring and deploying distributed tracing data collection The Red Hat OpenShift distributed tracing data collection Operator uses a custom resource definition (CRD) file that defines the architecture and configuration settings to be used when creating and deploying the Red Hat OpenShift distributed tracing data collection resources. You can either install the default configuration or modify the file to better suit your business requirements. 3.3.1. OpenTelemetry Collector configuration options Important The Red Hat OpenShift distributed tracing data collection Operator 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 . The OpenTelemetry Collector consists of three components that access telemetry data: Receivers - A receiver, which can be push or pull based, is how data gets into the Collector. Generally, a receiver accepts data in a specified format, translates it into the internal format and passes it to processors and exporters defined in the applicable pipelines. By default, no receivers are configured. One or more receivers must be configured. Receivers may support one or more data sources. Processors - (Optional) Processors are run on data between being received and being exported. By default, no processors are enabled. Processors must be enabled for every data source. Not all processors support all data sources. Depending on the data source, it may be recommended that multiple processors be enabled. In addition, it is important to note that the order of processors matters. Exporters - An exporter, which can be push or pull based, is how you send data to one or more backends/destinations. By default, no exporters are configured. One or more exporters must be configured. Exporters may support one or more data sources. Exporters may come with default settings, but many require configuration to specify at least the destination and security settings. You can define multiple instances of components in a custom resource YAML file. Once configured, these components must be enabled through pipelines defined in the spec.config.service section of the YAML file. As a best practice you should only enable the components that you need. sample OpenTelemetry collector custom resource file apiVersion: opentelemetry.io/v1alpha1 kind: OpenTelemetryCollector metadata: name: cluster-collector namespace: tracing-system spec: mode: deployment config: | receivers: otlp: protocols: grpc: http: processors: exporters: jaeger: endpoint: jaeger-production-collector-headless.tracing-system.svc:14250 tls: ca_file: "/var/run/secrets/kubernetes.io/serviceaccount/service-ca.crt" service: pipelines: traces: receivers: [otlp] processors: [] exporters: [jaeger] Note If a component is configured, but not defined within the service section then it is not enabled. Table 3.17. Parameters used by the Operator to define the OpenTelemetry Collector Parameter Description Values Default A receiver is how data gets into the Collector. By default, no receivers are configured. There must be at least one enabled receiver for a configuration to be considered valid. Receivers are enabled by being added to a pipeline. otlp , jaeger None The oltp and jaeger receivers come with default settings, specifying the name of the receiver is enough to configure it. Processors run on data between being received and being exported. By default, no processors are enabled. None An exporter sends data to one or more backends/destinations. By default, no exporters are configured. There must be at least one enabled exporter for a configuration to be considered valid. Exporters are enabled by being added to a pipeline. Exporters may come with default settings, but many require configuration to specify at least the destination and security settings. logging , jaeger None The jaeger exporter's endpoint must be of the form <name>-collector-headless.<namespace>.svc , with the name and namespace of the Jaeger deployment, for a secure connection to be established. Path to the CA certificate. For a client this verifies the server certificate. For a server this verifies client certificates. If empty uses system root CA. Components are enabled by adding them to a pipeline under services.pipeline . You enable receivers for tracing by adding them under service.pipelines.traces . None You enable processors for tracing by adding them under service.pipelines.traces . None You enable exporters for tracing by adding them under service.pipelines.traces . None 3.4. Upgrading distributed tracing Operator Lifecycle Manager (OLM) controls the installation, upgrade, and role-based access control (RBAC) of Operators in a cluster. The OLM runs by default in OpenShift Container Platform. OLM queries for available Operators as well as upgrades for installed Operators. For more information about how OpenShift Container Platform handles upgrades, see the Operator Lifecycle Manager documentation. During an update, the Red Hat OpenShift distributed tracing Operators upgrade the managed distributed tracing instances to the version associated with the Operator. Whenever a new version of the Red Hat OpenShift distributed tracing platform Operator is installed, all the distributed tracing platform application instances managed by the Operator are upgraded to the Operator's version. For example, after upgrading the Operator from 1.10 installed to 1.11, the Operator scans for running distributed tracing platform instances and upgrades them to 1.11 as well. For specific instructions on how to update the OpenShift Elasticsearch Operator, see Updating OpenShift Logging . 3.4.1. Changing the Operator channel for 2.0 Red Hat OpenShift distributed tracing 2.0.0 made the following changes: Renamed the Red Hat OpenShift Jaeger Operator to the Red Hat OpenShift distributed tracing platform Operator. Stopped support for individual release channels. Going forward, the Red Hat OpenShift distributed tracing platform Operator will only support the stable Operator channel. Maintenance channels, for example 1.24-stable , will no longer be supported by future Operators. As part of the update to version 2.0, you must update your OpenShift Elasticsearch and Red Hat OpenShift distributed tracing platform Operator subscriptions. Prerequisites The OpenShift Container Platform version is 4.6 or later. You have updated the OpenShift Elasticsearch Operator. You have backed up the Jaeger custom resource file. An account with the cluster-admin role. If you use Red Hat OpenShift Dedicated, you must have an account with the dedicated-admin role. Important If you have not already updated your OpenShift Elasticsearch Operator as described in Updating OpenShift Logging complete that update before updating your Red Hat OpenShift distributed tracing platform Operator. For instructions on how to update the Operator channel, see Updating installed Operators . 3.5. Removing distributed tracing The steps for removing Red Hat OpenShift distributed tracing from an OpenShift Container Platform cluster are as follows: Shut down any Red Hat OpenShift distributed tracing pods. Remove any Red Hat OpenShift distributed tracing instances. Remove the Red Hat OpenShift distributed tracing platform Operator. Remove the Red Hat OpenShift distributed tracing data collection Operator. 3.5.1. Removing a Red Hat OpenShift distributed tracing platform instance using the web console Note When deleting an instance that uses the in-memory storage, all data is permanently lost. Data stored in a persistent storage such as Elasticsearch is not be deleted when a Red Hat OpenShift distributed tracing platform instance is removed. Procedure Log in to the OpenShift Container Platform web console. Navigate to Operators Installed Operators . Select the name of the project where the Operators are installed from the Project menu, for example, openshift-operators . Click the Red Hat OpenShift distributed tracing platform Operator. Click the Jaeger tab. Click the Options menu to the instance you want to delete and select Delete Jaeger . In the confirmation message, click Delete . 3.5.2. Removing a Red Hat OpenShift distributed tracing platform instance from the CLI Log in to the OpenShift Container Platform CLI. USD oc login --username=<NAMEOFUSER> To display the distributed tracing platform instances run the command: USD oc get deployments -n <jaeger-project> For example, USD oc get deployments -n openshift-operators The names of Operators have the suffix -operator . The following example shows two Red Hat OpenShift distributed tracing platform Operators and four distributed tracing platform instances: USD oc get deployments -n openshift-operators You should see output similar to the following: NAME READY UP-TO-DATE AVAILABLE AGE elasticsearch-operator 1/1 1 1 93m jaeger-operator 1/1 1 1 49m jaeger-test 1/1 1 1 7m23s jaeger-test2 1/1 1 1 6m48s tracing1 1/1 1 1 7m8s tracing2 1/1 1 1 35m To remove an instance of distributed tracing platform, run the following command: USD oc delete jaeger <deployment-name> -n <jaeger-project> For example: USD oc delete jaeger tracing2 -n openshift-operators To verify the deletion, run the oc get deployments command again: USD oc get deployments -n <jaeger-project> For example: USD oc get deployments -n openshift-operators You should see generated output that is similar to the following example: NAME READY UP-TO-DATE AVAILABLE AGE elasticsearch-operator 1/1 1 1 94m jaeger-operator 1/1 1 1 50m jaeger-test 1/1 1 1 8m14s jaeger-test2 1/1 1 1 7m39s tracing1 1/1 1 1 7m59s 3.5.3. Removing the Red Hat OpenShift distributed tracing Operators Procedure Follow the instructions for Deleting Operators from a cluster . Remove the Red Hat OpenShift distributed tracing platform Operator. After the Red Hat OpenShift distributed tracing platform Operator has been removed, if appropriate, remove the OpenShift Elasticsearch Operator.

Commands:
apiVersion: jaegertracing.io/v1 kind: Jaeger metadata: name: MyConfigFile spec: strategy: production 1
oc login --username=<NAMEOFUSER> https://<HOSTNAME>:8443
oc new-project tracing-system
apiVersion: jaegertracing.io/v1 kind: Jaeger metadata: name: jaeger-all-in-one-inmemory
oc create -n tracing-system -f jaeger.yaml
oc get pods -n tracing-system -w
NAME READY STATUS RESTARTS AGE jaeger-all-in-one-inmemory-cdff7897b-qhfdx 2/2 Running 0 24s
apiVersion: jaegertracing.io/v1 kind: Jaeger metadata: name: jaeger-production namespace: spec: strategy: production ingress: security: oauth-proxy storage: type: elasticsearch elasticsearch: nodeCount: 3 redundancyPolicy: SingleRedundancy esIndexCleaner: enabled: true numberOfDays: 7 schedule: 55 23 * * * esRollover: schedule: '*/30 * * * *'
oc login --username=<NAMEOFUSER> https://<HOSTNAME>:8443
oc new-project tracing-system
oc create -n tracing-system -f jaeger-production.yaml
oc get pods -n tracing-system -w
NAME READY STATUS RESTARTS AGE elasticsearch-cdm-jaegersystemjaegerproduction-1-6676cf568gwhlw 2/2 Running 0 10m elasticsearch-cdm-jaegersystemjaegerproduction-2-bcd4c8bf5l6g6w 2/2 Running 0 10m elasticsearch-cdm-jaegersystemjaegerproduction-3-844d6d9694hhst 2/2 Running 0 10m jaeger-production-collector-94cd847d-jwjlj 1/1 Running 3 8m32s jaeger-production-query-5cbfbd499d-tv8zf 3/3 Running 3 8m32s
apiVersion: jaegertracing.io/v1 kind: Jaeger metadata: name: jaeger-streaming spec: strategy: streaming collector: options: kafka: producer: topic: jaeger-spans #Note: If brokers are not defined,AMQStreams 1.4.0+ will self-provision Kafka. brokers: my-cluster-kafka-brokers.kafka:9092 storage: type: elasticsearch ingester: options: kafka: consumer: topic: jaeger-spans brokers: my-cluster-kafka-brokers.kafka:9092
oc login --username=<NAMEOFUSER> https://<HOSTNAME>:8443
oc new-project tracing-system
oc create -n tracing-system -f jaeger-streaming.yaml
oc get pods -n tracing-system -w
NAME READY STATUS RESTARTS AGE elasticsearch-cdm-jaegersystemjaegerstreaming-1-697b66d6fcztcnn 2/2 Running 0 5m40s elasticsearch-cdm-jaegersystemjaegerstreaming-2-5f4b95c78b9gckz 2/2 Running 0 5m37s elasticsearch-cdm-jaegersystemjaegerstreaming-3-7b6d964576nnz97 2/2 Running 0 5m5s jaeger-streaming-collector-6f6db7f99f-rtcfm 1/1 Running 0 80s jaeger-streaming-entity-operator-6b6d67cc99-4lm9q 3/3 Running 2 2m18s jaeger-streaming-ingester-7d479847f8-5h8kc 1/1 Running 0 80s jaeger-streaming-kafka-0 2/2 Running 0 3m1s jaeger-streaming-query-65bf5bb854-ncnc7 3/3 Running 0 80s jaeger-streaming-zookeeper-0 2/2 Running 0 3m39s
oc login --username=<NAMEOFUSER> https://<HOSTNAME>:6443
export JAEGER_URL=USD(oc get route -n tracing-system jaeger -o jsonpath='{.spec.host}')
apiVersion: jaegertracing.io/v1 kind: Jaeger metadata: name: name spec: strategy: <deployment_strategy> allInOne: options: {} resources: {} agent: options: {} resources: {} collector: options: {} resources: {} sampling: options: {} storage: type: options: {} query: options: {} resources: {} ingester: options: {} resources: {} options: {}
apiVersion: jaegertracing.io/v1 kind: Jaeger metadata: name: jaeger-all-in-one-inmemory
collector: replicas:
spec: collector: options: {}
options: collector: num-workers:
options: collector: queue-size:
options: kafka: producer: topic: jaeger-spans
options: kafka: producer: brokers: my-cluster-kafka-brokers.kafka:9092
options: log-level:
spec: sampling: options: {} default_strategy: service_strategy:
default_strategy: type: service_strategy: type:
default_strategy: param: service_strategy: param:
apiVersion: jaegertracing.io/v1 kind: Jaeger metadata: name: with-sampling spec: sampling: options: default_strategy: type: probabilistic param: 0.5 service_strategies: - service: alpha type: probabilistic param: 0.8 operation_strategies: - operation: op1 type: probabilistic param: 0.2 - operation: op2 type: probabilistic param: 0.4 - service: beta type: ratelimiting param: 5
spec: sampling: options: default_strategy: type: probabilistic param: 1
spec: storage: type:
storage: secretname:
storage: options: {}
storage: esIndexCleaner: enabled:
storage: esIndexCleaner: numberOfDays:
storage: esIndexCleaner: schedule:
elasticsearch: properties: doNotProvision:
elasticsearch: properties: name:
elasticsearch: nodeCount:
elasticsearch: resources: requests: cpu:
elasticsearch: resources: requests: memory:
elasticsearch: resources: limits: cpu:
elasticsearch: resources: limits: memory:
elasticsearch: redundancyPolicy:
elasticsearch: useCertManagement:
apiVersion: jaegertracing.io/v1 kind: Jaeger metadata: name: simple-prod spec: strategy: production storage: type: elasticsearch elasticsearch: nodeCount: 3 resources: requests: cpu: 1 memory: 16Gi limits: memory: 16Gi
apiVersion: jaegertracing.io/v1 kind: Jaeger metadata: name: simple-prod spec: strategy: production storage: type: elasticsearch elasticsearch: nodeCount: 1 storage: 1 storageClassName: gp2 size: 5Gi resources: requests: cpu: 200m memory: 4Gi limits: memory: 4Gi redundancyPolicy: ZeroRedundancy
es: server-urls:
es: max-doc-count:
es: max-num-spans:
es: max-span-age:
es: sniffer:
es: sniffer-tls-enabled:
es: timeout:
es: username:
es: password:
es: version:
es: num-replicas:
es: num-shards:
es: create-index-templates:
es: index-prefix:
es: bulk: actions:
es: bulk: flush-interval:
es: bulk: size:
es: bulk: workers:
es: tls: ca:
es: tls: cert:
es: tls: enabled:
es: tls: key:
es: tls: server-name:
es: token-file:
es-archive: bulk: actions:
es-archive: bulk: flush-interval:
es-archive: bulk: size:
es-archive: bulk: workers:
es-archive: create-index-templates:
es-archive: enabled:
es-archive: index-prefix:
es-archive: max-doc-count:
es-archive: max-num-spans:
es-archive: max-span-age:
es-archive: num-replicas:
es-archive: num-shards:
es-archive: password:
es-archive: server-urls:
es-archive: sniffer:
es-archive: sniffer-tls-enabled:
es-archive: timeout:
es-archive: tls: ca:
es-archive: tls: cert:
es-archive: tls: enabled:
es-archive: tls: key:
es-archive: tls: server-name:
es-archive: token-file:
es-archive: username:
es-archive: version:
apiVersion: jaegertracing.io/v1 kind: Jaeger metadata: name: simple-prod spec: strategy: production storage: type: elasticsearch options: es: server-urls: https://quickstart-es-http.default.svc:9200 index-prefix: my-prefix tls: ca: /es/certificates/ca.crt secretName: tracing-secret volumeMounts: - name: certificates mountPath: /es/certificates/ readOnly: true volumes: - name: certificates secret: secretName: quickstart-es-http-certs-public
apiVersion: jaegertracing.io/v1 kind: Jaeger metadata: name: simple-prod spec: strategy: production storage: type: elasticsearch options: es: server-urls: https://quickstart-es-http.default.svc:9200 1 index-prefix: my-prefix tls: 2 ca: /es/certificates/ca.crt secretName: tracing-secret 3 volumeMounts: 4 - name: certificates mountPath: /es/certificates/ readOnly: true volumes: - name: certificates secret: secretName: quickstart-es-http-certs-public
apiVersion: logging.openshift.io/v1 kind: Elasticsearch metadata: annotations: logging.openshift.io/elasticsearch-cert-management: "true" logging.openshift.io/elasticsearch-cert.jaeger-custom-es: "user.jaeger" logging.openshift.io/elasticsearch-cert.curator-custom-es: "system.logging.curator" name: custom-es spec: managementState: Managed nodeSpec: resources: limits: memory: 16Gi requests: cpu: 1 memory: 16Gi nodes: - nodeCount: 3 proxyResources: {} resources: {} roles: - master - client - data storage: {} redundancyPolicy: ZeroRedundancy
apiVersion: jaegertracing.io/v1 kind: Jaeger metadata: name: jaeger-prod spec: strategy: production storage: type: elasticsearch elasticsearch: name: custom-es doNotProvision: true useCertManagement: true
spec: query: replicas:
spec: query: options: {}
options: log-level:
options: query: base-path:
apiVersion: jaegertracing.io/v1 kind: "Jaeger" metadata: name: "my-jaeger" spec: strategy: allInOne allInOne: options: log-level: debug query: base-path: /jaeger
spec: ingester: options: {}
options: deadlockInterval:
options: kafka: consumer: topic:
options: kafka: consumer: brokers:
options: log-level:
apiVersion: jaegertracing.io/v1 kind: Jaeger metadata: name: simple-streaming spec: strategy: streaming collector: options: kafka: producer: topic: jaeger-spans brokers: my-cluster-kafka-brokers.kafka:9092 ingester: options: kafka: consumer: topic: jaeger-spans brokers: my-cluster-kafka-brokers.kafka:9092 ingester: deadlockInterval: 5 storage: type: elasticsearch options: es: server-urls: http://elasticsearch:9200
apiVersion: apps/v1 kind: Deployment metadata: name: myapp annotations: "sidecar.jaegertracing.io/inject": "true" 1 spec: selector: matchLabels: app: myapp template: metadata: labels: app: myapp spec: containers: - name: myapp image: acme/myapp:myversion
apiVersion: apps/v1 kind: StatefulSet metadata: name: example-statefulset namespace: example-ns labels: app: example-app spec: spec: containers: - name: example-app image: acme/myapp:myversion ports: - containerPort: 8080 protocol: TCP - name: jaeger-agent image: registry.redhat.io/distributed-tracing/jaeger-agent-rhel7:<version> # The agent version must match the Operator version imagePullPolicy: IfNotPresent ports: - containerPort: 5775 name: zk-compact-trft protocol: UDP - containerPort: 5778 name: config-rest protocol: TCP - containerPort: 6831 name: jg-compact-trft protocol: UDP - containerPort: 6832 name: jg-binary-trft protocol: UDP - containerPort: 14271 name: admin-http protocol: TCP args: - --reporter.grpc.host-port=dns:///jaeger-collector-headless.example-ns:14250 - --reporter.type=grpc
apiVersion: opentelemetry.io/v1alpha1 kind: OpenTelemetryCollector metadata: name: cluster-collector namespace: tracing-system spec: mode: deployment config: | receivers: otlp: protocols: grpc: http: processors: exporters: jaeger: endpoint: jaeger-production-collector-headless.tracing-system.svc:14250 tls: ca_file: "/var/run/secrets/kubernetes.io/serviceaccount/service-ca.crt" service: pipelines: traces: receivers: [otlp] processors: [] exporters: [jaeger]
receivers:
receivers: otlp:
processors:
exporters:
exporters: jaeger: endpoint:
exporters: jaeger: tls: ca_file:
service: pipelines:
service: pipelines: traces: receivers:
service: pipelines: traces: processors:
service: pipelines: traces: exporters:
oc login --username=<NAMEOFUSER>
oc get deployments -n <jaeger-project>
oc get deployments -n openshift-operators
oc get deployments -n openshift-operators
NAME READY UP-TO-DATE AVAILABLE AGE elasticsearch-operator 1/1 1 1 93m jaeger-operator 1/1 1 1 49m jaeger-test 1/1 1 1 7m23s jaeger-test2 1/1 1 1 6m48s tracing1 1/1 1 1 7m8s tracing2 1/1 1 1 35m
oc delete jaeger <deployment-name> -n <jaeger-project>
oc delete jaeger tracing2 -n openshift-operators
oc get deployments -n <jaeger-project>
oc get deployments -n openshift-operators
NAME READY UP-TO-DATE AVAILABLE AGE elasticsearch-operator 1/1 1 1 94m jaeger-operator 1/1 1 1 50m jaeger-test 1/1 1 1 8m14s jaeger-test2 1/1 1 1 7m39s tracing1 1/1 1 1 7m59s