Monitoring Kubernetes and Docker Container Metrics

With their ease of deployment and management, containers have become a major part of IT infrastructure. Being able to monitor containers and their orchestrators has never been more important. In this class, you’ll learn how to use Metricbeat and the Elastic Stack to monitor different Kubernetes and Docker container metrics.
Note: This course is a module of the Metrics specialization.

You’ll also learn how to use autodiscover to make sure you never miss a deployment. After completing this class, you’ll be able to easily monitor the health of your container environment.

Topics Covered

• Metricbeat and Containers
• Docker Metrics
• Kubernetes Metrics
• Autodiscovery with Metricbeat
• Enriching Events with Metadata

Length

2-3 hours

Audience

Software Developers, Software Engineers, Data Architects, System Administrators, DevOps

Language

English

Prerequisites

• We recommend taking the following foundational courses (or having equivalent knowledge):
• Elasticsearch Engineer I
• Elasticsearch Engineer II
• Metrics Fundamentals
• Shipping Metrics Data
• Fundamental knowledge of how containers work, as some basic Docker commands will be used during the labs

Requirements

• Stable internet connection
• Mac, Linux, or Windows
• Latest version of Chrome or Firefox (other browsers not supported)
• Disable any ad blockers and restart your browser before class

Additional Information

Training Specializations

This course is a module of the Metrics specialization. Find out how our focused Training Specializations can help you with your use case.

General Training Information

All training materials are provided via the Elastic training portal. Have training questions? Review our FAQ or email us.