Oracle WebLogic Server 14c: Performance Tuning Workshop — Lesson 2: JVM Heap, Garbage Collection, Threads, Work Managers, and Overload

Learning Objectives

• Explain the purpose and operating context of heap sizing, generations, allocation, garbage collectors, and pause evidence.
• Apply thread pools, execute queues awareness, stuck threads, and request backlog and work managers, min and max constraints, capacity constraints, and priorities in a controlled environment.
• Validate outcomes and troubleshoot risks involving overload protection, health states, memory pressure, CPU, and native resources.

Detailed Topics

• heap sizing, generations, allocation, garbage collectors, and pause evidence
• thread pools, execute queues awareness, stuck threads, and request backlog
• work managers, min and max constraints, capacity constraints, and priorities
• overload protection, health states, memory pressure, CPU, and native resources

Instructor Demonstration

Demonstrate heap sizing, generations, allocation, garbage collectors, and pause evidence for a WebLogic application benchmarked and tuned against response-time and throughput objectives; capture the exact configuration, code, command, transaction, query, dashboard, model, schedule, or report evidence that proves the expected result.

Hands-On Exercise

Complete a controlled Oracle WebLogic Server 14c: Performance Tuning Workshop exercise covering thread pools, execute queues awareness, stuck threads, and request backlog and work managers, min and max constraints, capacity constraints, and priorities; introduce an exception involving overload protection, health states, memory pressure, CPU, and native resources, diagnose it from evidence, apply the smallest reversible correction, and rerun acceptance checks.

1. Confirm scope, prerequisites, identities, dependencies, data, risks, and expected outcome.
2. Perform the course-specific configuration, development, administration, analysis, or business-process workflow.
3. Capture commands, settings, records, logs, screenshots, reports, metrics, or test results.
4. Compare the observed result with acceptance criteria and document corrective or preventive action.

Scenario Analysis

• Identify the technical or business decision and the stakeholders affected by it.
• Compare security, performance, reliability, compliance, cost, usability, and support trade-offs.
• Define rollback, recovery, communication, evidence, ownership, and escalation requirements.

Troubleshooting Guidance

Diagnose issues involving heap sizing, generations, allocation, garbage collectors, and pause evidence, thread pools, execute queues awareness, stuck threads, and request backlog, work managers, min and max constraints, capacity constraints, and priorities, overload protection, health states, memory pressure, CPU, and native resources without making an unverified production change. Separate symptoms from causes, gather time-correlated evidence, test a reversible hypothesis, validate the correction, and record recurrence controls.

Validation Checklist

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

Lesson Outcome

Learners can apply JVM Heap, Garbage Collection, Threads, Work Managers, and Overload in a realistic Oracle WebLogic Server 14c: Performance Tuning Workshop scenario and defend the result with documented evidence.