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Splunk Training Provider Authorised Learning Partner Australia

Fundamentals of Metrics Monitoring in Splunk Observability

Summary

This course serves as the foundation for all other Splunk Observability courses. It is targeted towards DevOps/SRE/Observability teams, Senior On-call Engineers, Onboarding and Monitoring Strategists and Developers. This 6-hr course provides a fundamental understanding of Metrics Monitoring in Splunk Observability such as the metrics data model and different types of metadata. See how you can interact with data using built-in content, search for metrics, find more information about a metric, visualize and alert on metrics. Learn to use appropriate rollups, interpret chart data based on chart resolution, rollups, and analytic functions. All concepts are taught using lectures and scenario-based hands-on activities. Note:This course was formerly known as Splunk Infrastructure Monitoring Fundamentals. The new course

contains additional content and hands-on labs.

 

Description

  • Define components of the metrics data model

  • Discriminate between types of metadata

  • Interact with data using built-in content

  • Create dashboards using best practices

  • Find and visualize metrics

  • Alert on metrics

  • Correctly interpret data in charts based on rollups, analytic functions and chart resolution

Splunk Fundamentals 1 - Legacy Course Information

Enjoyable presenter and easy to understand for an intermediate Splunk user pursuing Admin certification. Thanks from Massachusetts!

Participant, Splunk Fundamentals 2

Splunk Credit Value: 75

Duration: 6 hours

Time: 11am – 5pm AEST

Objectives

Module 1 - Metrics Data Model

  • Define components of the Splunk IM Data Model

    • Metrics, MTS, datapoints

    • Data resolution, rollups

  • List the components of a datapoint

 

Module 2 – Types of Splunk Metrics Metadata

  • Discriminate between types of metadata

  • Use metadata to segment your data

  • Interact with data using the Infrastructure Navigator and built-in dashboards

 

Module 3 – Finding and Visualizing Metrics

  • Search for metrics

  • Visualize a metric in a chart

  • Create dashboards and dashboard groups

  • Distinguish between different chart visualization types

Module 4 – Using Rollups and Analytic Functions

  • Correctly apply rollups and analytic functions

  • Interpret data in charts

 

Module 5 – Alerting on Metrics

  • Create a detector from a chart

  • Clone a detector

  • Create standalone detector

  • Create a muting rule

 

 

Prerequisites

  • Introduction to Splunk Infrastructure Monitoring (eLearning)

Splunk Course Schedules and Timezones

Ingeniq Course are delivered live and in English and provide access to customers spanning multiple timezones.

Dates and times displayed for each course are relative to Australian Eastern Time (AET).

AM Marked Splunk Courses

AM marked courses start at AET 9:00am and finish at AET 1:30pm (4.5 hour sessions over 1 or more days) and are optimal for customers in the following countries and areas;

  • UTC+10 including Australia (East Coast)

  • UCT+11/+12 including New Zealand and the Pacific Islands

  • UTC-8 including USA (West Coast), Canada (West Coast)

  • UTC-7 including USA (Mid West)

PM Marked Splunk Courses

PM marked courses start at AEDT 12:00pm and are optimal for customers in the following countries and areas;

  • UTC+10 including Australia (East Coast)

  • UCT+11/+12 including New Zealand and the Pacific Islands

  • UTC-8 including USA (West Coast), Canada (West Coast)

  • UTC-7 including USA (Mid West)

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