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

  • Indexing and data storage best practices
  • 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 how to resolve them
  • 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

Number of participants


Price per participant

Testimonials (3)

Provisional Upcoming Courses (Require 5+ participants)

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