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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

Audience

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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

Prerequisites

Required:

  • Fundamentals 1
  • Fundamentals 2
  • Splunk System Administration

Recommended

  • Splunk Data Administration
  • Splunk Fundamentals 3
  • Some Linux experience

Certification

Schedule




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