SPLK-WOMET8.1 - Working with Metrics in Splunk 8.1
SPLK-WOMET8.1 - Working with Metrics in Splunk 8.1
Overview
Duration: 2.0 days
This nine hour course provides Splunk users in-depth information about metrics, ingesting and searching metrics data, and how to use the Analytics Workspace to analyze and create visualizations.
Objectives
Please refer to course overview
Content
Module 1 - Metrics Overview
- Understand the differences between metrics and events
- Describe metrics and metrics terminology
- Identify the storage and performance benefits of metrics
- Review use cases for searching metrics data
- Describe metrics dimensions and time series
Module 2 - Indexing and Searching Metrics
- Describe metrics indexing
- Create metrics indexes
- Onboard metrics data
- Use the mcatalog, msearch, and mstats commands
Module 3 - Bringing Metrics Into Splunk: Metrics-Formatted Data
- Review metrics source types and supported protocols
- Use collected to ingest metrics data
- Use StatsD to ingest metrics data
- Verify onboarding of metrics
Module 4 - Bringing Metrics Into Splunk: Converting Logs to Metrics
- Describe the log-to-metrics process
- Use m collect and m event collect to convert logs to metrics at search time
- Use Splunk Web to convert logs to metrics at ingent time
- Use config files to convert logs to metrics at ingest time
Module 5 - Managing Metrics Indexes and Metrics Rollups
- Manage metrics indexes
- Understand metrics rollups
- Configure rollup policies
Module 6 - Analytics Workspace and SAI
- Use the Analytics Workspace to analyze and visualize metrics data
- Describe the Splunk App for Infrastructure (SAI)
Module 7 - Best Practices and Performance Tuning
- Describe metrics best practices
- Tune the performance of metrics processing
Audience
_
Prerequisites
Required:
- Fundamentals 1
- Fundamentals 2
- Splunk System Administration
Recommended
- Splunk Data Administration
- Splunk Fundamentals 3
- Some Linux experience
Certification
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