Oracle NoSQL Database for Administrators — Lesson 4: Monitoring, Performance, Backup, Recovery, Troubleshooting, and Runbook

Technical Scope

• service status, statistics, latency, throughput, storage, and replication health
• JVM, cache, network, disk, request limits, and tuning considerations
• snapshots, backup strategy, restore, node replacement, and disaster tests
• logs, fault scenarios, escalation evidence, and administrator runbook

Instructor Demonstration

Demonstrate service status, statistics, latency, throughput, storage, and replication health within a resilient Oracle NoSQL cluster deployed across availability zones, secured for application access, monitored under load, and tested for node failure and recovery, then capture the exact configuration, command, transaction, report, trace, or code evidence that proves the expected result.

Applied Workshop

Implement a controlled workshop covering JVM, cache, network, disk, request limits, and tuning considerations and snapshots, backup strategy, restore, node replacement, and disaster tests, then test a failure, exception, or business-control scenario involving logs, fault scenarios, escalation evidence, and administrator 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, Backup, Recovery, Troubleshooting, and Runbook 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 service status, statistics, latency, throughput, storage, and replication health, JVM, cache, network, disk, request limits, and tuning considerations, snapshots, backup strategy, restore, node replacement, and disaster tests, or logs, fault scenarios, escalation evidence, and administrator 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, Backup, Recovery, Troubleshooting, and Runbook and defend the result with documented evidence.