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Chapter 1. Support overview
Red Hat offers cluster administrators tools for gathering data for your cluster, monitoring, and troubleshooting.
1.1. Get support
Get support: Visit the Red Hat Customer Portal to review knowledge base articles, submit a support case, and review additional product documentation and resources.
1.2. Remote health monitoring issues
Remote health monitoring issues: OpenShift Dedicated collects telemetry and configuration data about your cluster and reports it to Red Hat by using the Telemeter Client and the Insights Operator. Red Hat uses this data to understand and resolve issues in connected cluster. OpenShift Dedicated collects data and monitors health using the following:
Telemetry: The Telemetry Client gathers and uploads the metrics values to Red Hat every four minutes and thirty seconds. Red Hat uses this data to:
- Monitor the clusters.
- Roll out OpenShift Dedicated upgrades.
- Improve the upgrade experience.
Insight Operator: By default, OpenShift Dedicated installs and enables the Insight Operator, which reports configuration and component failure status every two hours. The Insight Operator helps to:
- Identify potential cluster issues proactively.
- Provide a solution and preventive action in Red Hat OpenShift Cluster Manager.
You can review telemetry information.
If you have enabled remote health reporting, Use Insights to identify issues. You can optionally disable remote health reporting.
1.3. Gather data about your cluster
Gather data about your cluster: Red Hat recommends gathering your debugging information when opening a support case. This helps Red Hat Support to perform a root cause analysis. A cluster administrator can use the following to gather data about your cluster:
-
The must-gather tool: Use the
must-gather
tool to collect information about your cluster and to debug the issues. -
sosreport: Use the
sosreport
tool to collect configuration details, system information, and diagnostic data for debugging purposes. - Cluster ID: Obtain the unique identifier for your cluster, when providing information to Red Hat Support.
-
Cluster node journal logs: Gather
journald
unit logs and logs within/var/log
on individual cluster nodes to troubleshoot node-related issues. - A network trace: Provide a network packet trace from a specific OpenShift Dedicated cluster node or a container to Red Hat Support to help troubleshoot network-related issues.
-
Diagnostic data: Use the
redhat-support-tool
command to gather(?) diagnostic data about your cluster.
1.4. Troubleshooting issues
A cluster administrator can monitor and troubleshoot the following OpenShift Dedicated component issues:
Node issues: A cluster administrator can verify and troubleshoot node-related issues by reviewing the status, resource usage, and configuration of a node. You can query the following:
- Kubelet’s status on a node.
- Cluster node journal logs.
Operator issues: A cluster administrator can do the following to resolve Operator issues:
- Verify Operator subscription status.
- Check Operator pod health.
- Gather Operator logs.
Pod issues: A cluster administrator can troubleshoot pod-related issues by reviewing the status of a pod and completing the following:
- Review pod and container logs.
- Start debug pods with root access.
Source-to-image issues: A cluster administrator can observe the S2I stages to determine where in the S2I process a failure occurred. Gather the following to resolve Source-to-Image (S2I) issues:
- Source-to-Image diagnostic data.
- Application diagnostic data to investigate application failure.
Storage issues: A multi-attach storage error occurs when the mounting volume on a new node is not possible because the failed node cannot unmount the attached volume. A cluster administrator can do the following to resolve multi-attach storage issues:
- Enable multiple attachments by using RWX volumes.
- Recover or delete the failed node when using an RWO volume.
Monitoring issues: A cluster administrator can follow the procedures on the troubleshooting page for monitoring. If the metrics for your user-defined projects are unavailable or if Prometheus is consuming a lot of disk space, check the following:
- Investigate why user-defined metrics are unavailable.
- Determine why Prometheus is consuming a lot of disk space.
-
OpenShift CLI (
oc
) issues: Investigate OpenShift CLI (oc
) issues by increasing the log level.