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Course Outline

Introduction and Infrastructure Assessment

  • Overview of Splunk components and architectural design
  • Establishing the Splunk environment
  • Evaluating infrastructure needs and resource distribution
  • Fundamental deployment models (single instance versus distributed environment)
  • Initial configuration and basic infrastructure setup

Architectural Management and Optimization

  • Best practices for indexing and data storage
  • Comprehending forwarders, indexers, and search heads
  • Strategies for load balancing and data dissemination
  • Enhancing Splunk performance through tuning and scaling
  • Configuring indexers and forwarders within a distributed framework

Data Governance and Input Management

  • Oversight and configuration of data inputs from multiple sources
  • Insights into parsing, event separation, and line consolidation
  • Setting up sourcetypes and ensuring data standardization
  • Employing transforms and props for data adjustment
  • Implementation of data inputs and setup of props/transforms

Advanced Diagnostic Methods

  • Surveillance of Splunk performance and detection of performance bottlenecks
  • Identification and resolution of frequent Splunk errors
  • Advanced troubleshooting for search head and indexer clustering
  • Utilization of log monitoring and diagnostic utilities
  • Scenario-based troubleshooting and log examination

Maximizing the Potential of Splunk

  • Advanced search commands and optimization of SPL
  • Creation of dashboards, alerts, and reports for strategic insights
  • Integration of third-party data and sophisticated data visualization
  • Security protocols and user administration within Splunk
  • Development of an end-to-end monitoring dashboard and configuration of automated alerts

Recap and Future Directions

Requirements

  • Fundamental knowledge of IT infrastructure and systems
  • Experience with logs and data formats

Intended Audience

  • IT administrators
  • Infrastructure engineers
  • Data analysts
 28 Hours

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