Oracle Database 19c: Performance Management and Tuning — Lesson 1: Performance Methodology, AWR, ADDM, Baselines, and Diagnostic Evidence

Learning Objectives

• Explain the architecture, workflow, or business purpose behind service-level objectives, workload boundaries, and performance hypotheses.
• Apply AWR snapshots, reports, and baseline comparisons and ADDM findings, recommendations, and evidence interpretation in a controlled scenario.
• Validate outcomes and troubleshoot risks involving time models, load profiles, and reproducible test design.

Detailed Topics

• service-level objectives, workload boundaries, and performance hypotheses
• AWR snapshots, reports, and baseline comparisons
• ADDM findings, recommendations, and evidence interpretation
• time models, load profiles, and reproducible test design

Instructor Demonstration

Demonstrate service-level objectives, workload boundaries, and performance hypotheses 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 1.

Hands-On Exercise

Implement a controlled exercise covering AWR snapshots, reports, and baseline comparisons and ADDM findings, recommendations, and evidence interpretation, then introduce and resolve an exception involving time models, load profiles, and reproducible test design while preserving before-and-after evidence.

1. Confirm the environment, identities, inputs, dependencies, risks, and expected outcome.
2. Complete the course-specific configuration, development, analysis, or process workflow.
3. Capture settings, commands, data, outputs, logs, reports, screenshots, calculations, or test results.
4. Compare the observed result with acceptance criteria and document corrective action.

Scenario Analysis

• Identify the technical or business decision that must be made.
• Compare valid approaches and their security, performance, reliability, cost, compliance, and support trade-offs.
• Define rollback, recovery, ownership, communication, and evidence requirements.

Troubleshooting Guidance

Diagnose issues across service-level objectives, workload boundaries, and performance hypotheses, AWR snapshots, reports, and baseline comparisons, ADDM findings, recommendations, and evidence interpretation, time models, load profiles, and reproducible test design without making an unverified production change. Separate symptoms from causes, gather evidence, test the smallest reversible correction, rerun validation, and record preventive action.

Validation Checklist

• The requirement, scope, inputs, dependencies, and expected result are documented.
• The result is reproducible and supported by course-specific evidence.
• Normal, boundary, failure, security, performance, and operational conditions are reviewed.
• Exceptions, rollback, ownership, and the next improvement priority are recorded.

Lesson Outcome

Learners can apply Performance Methodology, AWR, ADDM, Baselines, and Diagnostic Evidence in a realistic Oracle Database 19c: Performance Management and Tuning scenario and validate the result with documented evidence.