This lesson focuses on Storage, I/O, Redo, Undo, TEMP, and ASM Performance within Oracle Database 19c: Performance Management and Tuning.
The activity is tied to an order-processing workload whose response time degrades during peak volume and requires evidence-led diagnosis, so the implementation, analysis, administration, or support decisions are specific to this course.
Demonstrate datafile and segment I/O patterns within an order-processing workload whose response time degrades during peak volume and requires evidence-led diagnosis, then capture the exact configuration, command, transaction, report, model, query, code, or process evidence that proves the result for lesson 3.
Implement a controlled exercise covering redo generation, log switches, checkpoints, and commit latency and undo retention, TEMP usage, spills, and large operations, then introduce and resolve an exception involving ASM, operating-system, and storage latency correlation while preserving before-and-after evidence.
Diagnose issues across datafile and segment I/O patterns, redo generation, log switches, checkpoints, and commit latency, undo retention, TEMP usage, spills, and large operations, ASM, operating-system, and storage latency correlation without making an unverified production change. Separate symptoms from causes, gather evidence, test the smallest reversible correction, rerun validation, and record preventive action.
Learners can apply Storage, I/O, Redo, Undo, TEMP, and ASM Performance in a realistic Oracle Database 19c: Performance Management and Tuning scenario and validate the result with documented evidence.