Lesson 3: Knowledge Objects, Configuration, Apps, Inputs, Indexes, Users, and Administrative Automation

Lesson Overview

This lesson develops practical capability in knowledge objects, configuration, apps, inputs, indexes, users, and administrative automation for the Developing with Splunk’s REST API 8.2 Training. Learners connect the topic to the wider course goal of authenticating, querying, automating, and integrating Splunk through REST APIs.

Topics Covered

Knowledge Objects, Configuration, Apps, Inputs, Indexes, Users, and Administrative Automation: purpose, terminology, architecture, roles, and expected business or operational outcomes
Core Splunk data, searches, configuration, objects, integrations, interfaces, and security controls relevant to the topic
Design decisions, dependencies, risks, permissions, performance considerations, and governance requirements
Guided practice focused on hands-on workflows, validation scenarios, analytics, diagnostics, and troubleshooting
Testing, validation, diagnostics, troubleshooting, documentation, and operational support

Practical Activity

Run a realistic validation scenario, review logs and dashboards, diagnose an injected issue, and document corrective actions.
Capture assumptions, configuration choices, expected results, test evidence, and remediation notes in a reusable worksheet.
Review the completed exercise against security, data quality, performance, maintainability, and support-readiness criteria.

Key Takeaways

Explain the purpose and architecture of knowledge objects, configuration, apps, inputs, indexes, users, and administrative automation.
Apply the principal Splunk features and workflows required for the lesson scenario.
Validate results, identify common failure points, document decisions, and support a controlled operational outcome.

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Developing with Splunk’s REST API 8.2 Training 1 Section4 Lessons16 Hours

Curriculum