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Splunk Training + Certification

Kubernetes Monitoring with Splunk Observability Cloud

Course Description

This virtual course targeted to SREs and DevOps enables you to monitor and troubleshoot your Kubernetes clusters with Splunk Observability Cloud. Through discussions and hands-on activities, learn to explore and use the Kubernetes Navigator, built-in dashboards, and AutoDetect to monitor the health of your cluster. Create custom dashboards and detectors to monitor and troubleshoot common Kubernetes trouble conditions. This course assumes basic knowledge of Kubernetes and familiarity with navigating Splunk IM.

Instructor-led Training Schedule

Course Prerequisites

Required:
  • Splunk Infrastructure Monitoring Fundamentals (ILT)
  • Introduction to Splunk IM (eLearning)
  • Basic knowledge of Kubernetes
Strongly recommended:
  • Experience managing a Kubernetes cluster and using it in a production environment

Course Topics

  • Describe common scenarios for monitoring Kubernetes
  • Use Splunk Observability Cloud’s built-in tools to monitor Kubernetes
  • Create custom dashboards and detectors to monitor Kubernetes
  • Troubleshoot common Kubernetes issues

Course Objectives
 

Topic 1 – Exploring Kubernetes Clusters with Splunk Observability Cloud
  • Describe common scenarios for monitoring Kubernetes
  • Describe how to send Kubernetes data
  • Use the Kubernetes Navigator to view cluster data
  • Use Kubernetes Dashboards to view cluster data
Topic 2 – Monitoring Kubernetes with Built-in Content
  • Use the Kubernetes Navigator to investigate problems with nodes, pods, and containers
  • Use the Cluster Analyzer to pinpoint the root of some problems
  • Use built-in Kubernetes Dashboards to investigate and troubleshoot
  • Use AutoDetect to investigate and troubleshoot
Topic 3 – Monitoring Kubernetes with Custom Dashboards and Detectors
  • Use the Metrics Finder to research Kubernetes metrics
  • Create custom charts, dashboards, and dashboard groups to monitor Kubernetes
  • Create custom detectors to monitor Kubernetes metrics ▪ Customize alert messages