Oracle GoldenGate 12c: Integrate Big Data Ed 1 — Lesson 4: Monitoring, Performance, Scaling, Troubleshooting, and Operations

Technical Scope

• handler statistics, logs, lag, throughput, queue depth, and consumer health
• batch size, compression, parallelism, network, disk, and JVM tuning
• schema mismatch, broker outage, permission failure, and backpressure diagnosis
• operational dashboards, recovery drills, change control, and pipeline runbook

Instructor Demonstration

Demonstrate handler statistics, logs, lag, throughput, queue depth, and consumer health within a real-time data pipeline publishing Oracle change events to a big data lake and streaming platform with schema control, delivery guarantees, observability, and replay, then capture the exact configuration, command, transaction, report, trace, or code evidence that proves the expected result.

Applied Workshop

Implement a controlled workshop covering batch size, compression, parallelism, network, disk, and JVM tuning and schema mismatch, broker outage, permission failure, and backpressure diagnosis, then test a failure, exception, or business-control scenario involving operational dashboards, recovery drills, change control, and pipeline runbook.

1. Confirm the environment, identities, data, dependencies, controls, and expected result.
2. Complete the product-specific configuration, development, analysis, or business-process task.
3. Capture commands, configuration, output, logs, transactions, reports, or test evidence.
4. Explain the operational, security, performance, data-quality, or business trade-off.

Validation Standard

The Monitoring, Performance, Scaling, Troubleshooting, and Operations result must be reproducible, traceable to approved inputs, and consistent with expected Oracle product or business-process behavior.

• The intended target, scope, and ownership are verified.
• The result is supported by reproducible evidence and expected-value checks.
• Security, performance, reliability, data quality, and support impact are reviewed.
• Unexpected behavior is investigated before acceptance or release.

Failure Analysis

Diagnose issues in handler statistics, logs, lag, throughput, queue depth, and consumer health, batch size, compression, parallelism, network, disk, and JVM tuning, schema mismatch, broker outage, permission failure, and backpressure diagnosis, or operational dashboards, recovery drills, change control, and pipeline runbook without making an unverified production change.

Learners isolate the smallest proven cause, apply a reversible correction, rerun validation, and record the preventive action.

Practical Outcome

Complete a validated implementation or analysis for Monitoring, Performance, Scaling, Troubleshooting, and Operations and defend the result with documented evidence.