Course Overview
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.
Who should attend
DevOps/SRE/Observability teams, Senior On-call Engineers, Onboarding and Monitoring Strategists and Developers.
Certifications
This course is part of the following Certifications:
Prerequisites
Introduction to Splunk Infrastructure Monitoring (eLearning)
Course Objectives
- 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
Outline: Fundamentals of Metrics Monitoring in Splunk Observability Cloud (SIMF)
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