This lesson develops practical capability in Monitoring, Ceph Components, Performance, Troubleshooting, and Operations within DO370 – Enterprise Kubernetes Storage with Red Hat OpenShift Data Foundation. Learners use a platform storage team providing resilient Kubernetes storage for databases, pipelines, AI workloads, and cluster services to connect the technology with implementation, risk, validation, and support decisions.
The instructor demonstrates monitoring, ceph components, performance, troubleshooting, and operations by tracing architecture, commands, configuration, system messages, and evidence. The walkthrough tests how the technical result is restored but monitoring, rollback, evidence, ownership, or handover remains incomplete and explains how to isolate the cause without masking related issues.
Conduct an operational acceptance review for Monitoring, Ceph Components, Performance, Troubleshooting, and Operations and add the verified result to the ODF deployment design, storage-class catalog, workload tests, monitoring evidence, and recovery procedure.
Begin with the first observable difference from the expected result. Check monitoring, troubleshooting, rollback, ownership, evidence, and handover separately, then correlate logs, events, commands, metrics, and configuration history. Treat the assumption that the technical result is restored but monitoring, rollback, evidence, ownership, or handover remains incomplete as a hypothesis until a reproducible retest confirms the cause.
Learners can apply Monitoring, Ceph Components, Performance, Troubleshooting, and Operations, explain the observed platform behavior, and support the result with a reviewable ODF deployment design, storage-class catalog, workload tests, monitoring evidence, and recovery procedure.