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Course Outline

Introduction and Infrastructure Profiling

  • Overview of Splunk components and architecture.
  • Setting up the Splunk environment.
  • Profiling infrastructure requirements and resource allocation.
  • Basic deployment types (single instance vs. distributed environment).
  • Initial setup and basic infrastructure configuration.

Managing and Optimizing Splunk Architecture

  • Best practices for indexing and data storage.
  • Understanding forwarders, indexers, and search heads.
  • Load balancing and data distribution strategies.
  • Optimizing Splunk’s performance: tuning and scaling.
  • Configuring indexers and forwarders in a distributed setup.

Data Administration and Inputs Management

  • Managing and configuring data inputs from various sources.
  • Understanding parsing, event breaking, and line merging.
  • Configuring sourcetypes and data normalization.
  • Using transforms and props for data modification.
  • Setting up data inputs and configuring props/transforms.

Advanced Troubleshooting Techniques

  • Monitoring Splunk performance and identifying bottlenecks.
  • Common Splunk errors and their resolutions.
  • Advanced search head clustering and indexer clustering troubleshooting.
  • Log monitoring and diagnostic tools.
  • Troubleshooting scenarios and log analysis.

Leveraging Splunk’s Full Potential

  • Advanced search commands and SPL optimization.
  • Building dashboards, alerts, and reports for strategic analysis.
  • Integrating third-party data and advanced data visualization.
  • Security and user management within Splunk.
  • Building an end-to-end monitoring dashboard and setting up automated alerts.

Summary and Next Steps

Requirements

  • Basic understanding of IT infrastructure and systems.
  • Familiarity with logs and data formats.

Audience

  • IT administrators.
  • Infrastructure engineers.
  • Data analysts.
 28 Hours

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