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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, and event storage:
- Ensure that persistent storage is available in your Red Hat OpenShift Container Platform cluster for a production grade deployment. For more information, see Section 2.1, “Persistent volumes”.
- Ensure that enough resources are available to run the Operators and the application containers. For more information, see Section 2.2, “Resource allocation”.
2.1. 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”.
2.1.1. Ephemeral storage
You can use ephemeral storage to run Service Telemetry Framework (STF) without persistently storing data in your Red Hat OpenShift Container Platform cluster.
If you use ephemeral storage, you might experience data loss if a pod is restarted, updated, or rescheduled onto another node. Use ephemeral storage only for development or testing, and not production environments.
2.2. 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.
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