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 Duration 28 hours

Course Outline

Introduction and Infrastructure Profiling

  • Overview of Splunk components and architectural design
  • Establishing the Splunk operational environment
  • Assessing infrastructure requirements and resource distribution
  • Deployment models (single instance vs. distributed environment)
  • Initial deployment and core infrastructure configuration

Managing and Optimizing Splunk Architecture

  • Best practices for indexing and data storage
  • Functions of forwarders, indexers, and search heads
  • Strategies for load balancing and data distribution
  • Performance optimization: tuning and scaling methodologies
  • Configuration of indexers and forwarders in distributed environments

Data Administration and Inputs Management

  • Configuration and management of data inputs from diverse sources
  • Mechanisms for parsing, event breaking, and line merging
  • Setup of sourcetypes and data normalization protocols
  • Application of transforms and props for data modification
  • Implementation of data inputs and configuration of props/transforms

Advanced Troubleshooting Techniques

  • Performance monitoring and identification of system bottlenecks
  • Resolution of common and complex Splunk errors
  • Advanced troubleshooting of search head and indexer clustering
  • Utilization of log monitoring and diagnostic utilities
  • Analysis of troubleshooting scenarios and log data

Leveraging Splunk’s Full Potential

  • Advanced search commands and SPL optimization strategies
  • Development of dashboards, alerts, and reports for strategic analysis
  • Integration of third-party data and advanced visualization techniques
  • Security protocols and user management within Splunk
  • Construction of end-to-end monitoring dashboards and automated alerting systems

Summary and Next Steps

Requirements

  • Fundamental understanding of IT infrastructure and system operations
  • Familiarity with log structures and standard data formats

Audience

  • IT administrators
  • Infrastructure engineers
  • Data analysts

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