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Splunk Training Provider Authorised Learning Partner Australia

Fundamentals of Metrics Monitoring in Splunk Observability

Summary

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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

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Splunk Fundamentals 1 - Legacy Course Information

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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: 9am – 4.00pm AET

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Objectives

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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.

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

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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;

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  • 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;

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  • 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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