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Splunk Training Provider Authorised Learning Partner Australia

Kubernetes Monitoring with Splunk Observability Cloud

Summary

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.

This lab-oriented class is designed to help you learn best practices and tips to use Splunk Observability Cloud to monitor and troubleshoot Kubernetes clusters. All hands-on labs are performed in the Observability Cloud UI.

Description

  • 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

Description

  • SOAR concepts

  • Investigations

  • Running actions and playbooks

  • Case management & workflows

Splunk Fundamentals 1 - Legacy Course Information

Enjoyable presenter and easy to understand for an intermediate Splunk user pursuing Admin certification. Thanks from Massachusetts!

Participant, Splunk Fundamentals 2

Splunk Credit Value: 50

Duration: 3 hours

Time: 11am – 2pm AEST

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 Dashboard 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: Monitor 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

 

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

Splunk Course Schedules and Timezones

Ingeniq Course are delivered live and in English and provide access to customers spanning multiple timezones.

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

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;

  • 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;

  • 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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