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Course Outline
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
- Best practices for indexing and data storage.
- 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 their resolutions.
- 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
Requirements
- Basic understanding of IT infrastructure and systems.
- Familiarity with logs and data formats.
Audience
- IT administrators.
- Infrastructure engineers.
- Data analysts.
28 Hours
Testimonials (2)
he was well prepared - and he is very sympathetic
Oliver - Post CH AG
Course - Splunk Fundamentals
lots of pratical exercises