Arrow Electronics, Inc.

Fundamentals of Metrics Monitoring in Splunk Observability

CODE: SPL_FMMSO

LENGTH: 1 day(s)

PRICE: kr8 160,00

Description

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.

Objectives

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

Prerequisites

Introduction to Splunk Infrastructure Monitoring (eLearning)

Programme

Module 1 - Metrics Data Model

Define components of the Splunk IM Data ModelMetrics, 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

Session Dates