Chapter 2. Preparing your Red Hat OpenShift Container Platform environment for Service Telemetry Framework To prepare your Red Hat OpenShift Container Platform environment for Service Telemetry Framework (STF), you must plan for persistent storage, adequate resources, event storage, and network considerations: Ensure that you have persistent storage available in your Red Hat OpenShift Container Platform cluster for a production-grade deployment. For more information, see Section 2.2, "Persistent volumes" . Ensure that enough resources are available to run the Operators and the application containers. For more information, see Section 2.3, "Resource allocation" . Ensure that you have a fully connected network environment. For more information, see Section 2.4, "Network considerations for Service Telemetry Framework" . 2.1. Observability Strategy in Service Telemetry Framework Service Telemetry Framework (STF) does not include storage backends and alerting tools. STF uses community operators to deploy Prometheus, Alertmanager, Grafana, and Elasticsearch. STF makes requests to these community operators to create instances of each application configured to work with STF. Instead of having Service Telemetry Operator create custom resource requests, you can use your own deployments of these applications or other compatible applications, and scrape the metrics Smart Gateways for delivery to your own Prometheus-compatible system for telemetry storage. If you set the observabilityStrategy to none , then storage backends will not be deployed so persistent storage will not be required by STF. 2.2. Persistent volumes Service Telemetry Framework (STF) uses persistent storage in Red Hat OpenShift Container Platform to request persistent volumes so that Prometheus and Elasticsearch can store metrics and events. When you enable persistent storage through the Service Telemetry Operator, the Persistent Volume Claims (PVC) requested in an STF deployment results in an access mode of RWO (ReadWriteOnce). If your environment contains pre-provisioned persistent volumes, ensure that volumes of RWO are available in the Red Hat OpenShift Container Platform default configured storageClass . Additional resources For more information about configuring persistent storage for Red Hat OpenShift Container Platform, see Understanding persistent storage. For more information about recommended configurable storage technology in Red Hat OpenShift Container Platform, see Recommended configurable storage technology . For more information about configuring persistent storage for Prometheus in STF, see the section called "Configuring persistent storage for Prometheus" . For more information about configuring persistent storage for Elasticsearch in STF, see the section called "Configuring persistent storage for Elasticsearch" . 2.3. Resource allocation To enable the scheduling of pods within the Red Hat OpenShift Container Platform infrastructure, you need resources for the components that are running. If you do not allocate enough resources, pods remain in a Pending state because they cannot be scheduled. The amount of resources that you require to run Service Telemetry Framework (STF) depends on your environment and the number of nodes and clouds that you want to monitor. Additional resources For recommendations about sizing for metrics collection, see Service Telemetry Framework Performance and Scaling . For information about sizing requirements for Elasticsearch, see https://www.elastic.co/guide/en/cloud-on-k8s/current/k8s-managing-compute-resources.html . 2.4. Network considerations for Service Telemetry Framework You can only deploy Service Telemetry Framework (STF) in a fully connected network environment. You cannot deploy STF in Red Hat OpenShift Container Platform-disconnected environments or network proxy environments.

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