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 Duration 28 hours

Course Outline

Introduction and Infrastructure Profiling

  • Overview of Splunk components and architecture
  • Setting up the Splunk environment
  • Profiling infrastructure requirements and allocating resources
  • 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 the roles of forwarders, indexers, and search heads
  • Strategies for load balancing and data distribution
  • Performance tuning and scaling of Splunk
  • 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 resolution strategies
  • Troubleshooting advanced search head and indexer clustering
  • Utilizing log monitoring and diagnostic tools
  • Practical 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
  • Creating an end-to-end monitoring dashboard and configuring automated alerts

Summary and Next Steps

Requirements

  • A foundational grasp of IT infrastructure and systems
  • Proficiency with log files and various data formats

Target Audience

  • IT administrators
  • Infrastructure engineers
  • Data analysts

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