Comprehensive Splunk Administration and Advanced Utilization

• Basic understanding of IT infrastructure and systems
• Familiarity with logs and data formats

Audience

• IT administrators
• Infrastructure engineers
• Data analysts

Splunk is a powerful software platform used for searching, monitoring, and analyzing machine-generated data through a web-style interface. It helps organizations collect, index, and visualize real-time data from various sources such as applications, websites, sensors, devices, and IT infrastructure.

This instructor-led, live training (online or onsite) is aimed at intermediate-level IT administrators who wish to use Plunk to profile and manage IT infrastructure, optimize system architecture, troubleshoot effectively, and leverage Splunk’s capabilities for comprehensive data analysis and real-time monitoring.

By the end of this training, participants will be able to:

• Understand and manage the complete Splunk infrastructure.
• Master Splunk architecture and components.
• Troubleshoot common and advanced issues effectively.
• Utilize Splunk to its full potential for data analysis, monitoring, and reporting.
• Administer data inputs, user management, and system configurations.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

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