This lesson develops practical capability in Storage Classes, Block, File, Object Services, and Workload Integration 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 storage classes, block, file, object services, and workload integration by tracing architecture, commands, configuration, system messages, and evidence. The walkthrough tests how a valid change produces the wrong outcome because variables, permissions, mapping, or sequencing are incorrect and explains how to isolate the cause without masking related issues.
Implement the core workflow for Storage Classes, Block, File, Object Services, and Workload Integration 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 configuration, permissions, sequence, connectivity, and functional behavior separately, then correlate logs, events, commands, metrics, and configuration history. Treat the assumption that a valid change produces the wrong outcome because variables, permissions, mapping, or sequencing are incorrect as a hypothesis until a reproducible retest confirms the cause.
Learners can apply Storage Classes, Block, File, Object Services, and Workload Integration, 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.