Fundamentals of Metrics Monitoring in Splunk Observability

Duration : 1 Day (8 Hours)

Fundamentals of Metrics Monitoring in Splunk Observability Course Overview:

This course serves as the foundation for all other Splunk Observability courses and is designed for various professional roles, including DevOps/SRE/Observability teams, Senior On-call Engineers, Onboarding and Monitoring Strategists, and Developers. It is a 6-hour course that provides a fundamental understanding of Metrics Monitoring within Splunk Observability. The course covers essential topics such as metrics data models and different types of metadata. Participants will learn how to interact with data using pre-built content, search for specific metrics, access detailed metric information, create visualizations, and set up alerts for metrics. Additionally, attendees will gain insights into using appropriate rollup techniques and interpreting chart data, including chart resolution, rollups, and analytic functions. The course is delivered through lectures and hands-on activities based on real-world scenarios.

Intended Audience:

  • DevOps teams
  • SRE (Site Reliability Engineering) teams
  • Observability teams
  • Senior On-call Engineers
  • Onboarding and Monitoring Strategists
  • Developers involved in metrics monitoring

Learning Objectives of Fundamentals of Metrics Monitoring in Splunk Observability:

  • Define the components of the metrics data model.
  • Distinguish between different types of metadata.
  • Utilize built-in content to interact with data effectively.
  • Apply best practices to create dashboards.
  • Locate and visualize metrics.
  • Implement alerting strategies for metrics.
  • Accurately interpret data within charts, considering factors like rollups, analytic functions, and chart resolution.

Topic 1 – Metrics Data Model

  • Define components of the Metrics Data Model
    • Metrics, MTS (Metric Time Series), datapoints
    • Data resolution, rollups
  • List the components of a datapoint

Topic 2 – Types of Metrics Metadata

  • Discriminate between types of metadata
  • Use metadata to segment your data
  • Interact with data using the Infrastructure Navigator and built-in dashboards

Topic 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

Topic 4 – Using Rollups and Analytic Functions

  • Correctly apply rollups and analytic functions
  • Interpret data in charts

Topic 5 – Alerting on Metrics

  • Create a detector from a chart
  • Clone a detector
  • Create standalone detector
  • Create a muting rule

Fundamentals of Metrics Monitoring in Splunk Observability Course Prerequisites:

▪ Introduction to Splunk Infrastructure Monitoring.

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Training Exclusives

This course comes with following benefits:

  • Practice Labs.
  • Get Trained by Certified Trainers.
  • Access to the recordings of your class sessions for 90 days.
  • Digital courseware
  • Experience 24*7 learner support.

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