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 Duration 28 hours

Course Outline

Introduction and Infrastructure Profiling

  • Overview of Splunk components and architectural design
  • Establishing the Splunk environment
  • Assessing infrastructure requirements and resource allocation
  • Exploring basic deployment models (single instance vs. distributed)
  • Initial setup and fundamental 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 optimization: tuning and scaling techniques
  • Configuring indexers and forwarders within distributed setups

Data Administration and Inputs Management

  • Configuring data inputs from diverse sources
  • Comprehending parsing, event breaking, and line merging
  • Setting up sourcetypes and data normalization processes
  • Applying transforms and props for data modification
  • Establishing data inputs and configuring props/transforms

Advanced Troubleshooting Techniques

  • Monitoring performance and pinpointing bottlenecks
  • Identifying and resolving common Splunk errors
  • Addressing issues in advanced search head and indexer clustering
  • Utilizing log monitoring and diagnostic utilities
  • Analyzing troubleshooting scenarios and log data

Leveraging Splunk’s Full Potential

  • Advanced search commands and SPL optimization
  • Creating dashboards, alerts, and reports for strategic insights
  • Integrating third-party data and advanced visualization
  • Managing security and user permissions within Splunk
  • Constructing end-to-end monitoring dashboards and automated alerts

Summary and Next Steps

Requirements

  • A foundational grasp of IT infrastructure and systems
  • Familiarity with log structures and data formats

Target Audience

  • IT Administrators
  • Infrastructure Engineers
  • Data Analysts

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