CloudAcademy

Using Marathon to Schedule Mesos Containers on DC/OS

The hands-on lab is part of this learning path

Introduction to DC/OS

course-steps 2 lab-steps 10

Lab Steps

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Logging in to the Amazon Web Services Console
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Understanding the DC/OS Cluster Architecture
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Connecting to the Virtual Machine using SSH
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Running a Marathon Application From the CLI
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Creating a Golang Web Application Binary
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Deploying a Web Application Using Marathon

Ready for the real environment experience?

DifficultyBeginner
Duration1h 30m
Students29

Description

Lab Overview

DC/OS includes the powerful container orchestration tool called Marathon. Marathon supports multiple container types including Mesos and Docker. Marathon can schedule containers while satisfying a variety of constraints, load balance, perform health checks, and even comes with an intuitive graphical user interface (GUI).

In this Lab, you will deploy two Marathon applications using Mesos containers. You will also learn how to use Marathon to schedule Mesos containers on DC/OS from the DC/OS command-line interface (CLI) and the Marathon graphical user interface (GUI).

Lab Objectives

Upon completion of this Lab you will be able to:

  • Write Marathon application definitions
  • Deploy Marathon applications using Mesos containers using the DC/OS CLI
  • Manage and monitor Marathon using the Marathon GUI

Lab Prerequisites

You should be familiar with:

  • Basic DC/OS concepts including master nodes, agents, services, tasks, and Marathon
  • Working at the command-line in Linux
  • Basic Amazon S3 concepts
  • AWS services knowledge is useful in order to understand the architecture of the pre-created DC/OS cluster, but not required

Lab Environment

Before completing the Lab instructions, the environment will look as follows:

After completing the Lab instructions, the environment should look similar to:

About the Author

Students8594
Labs64
Courses6
Learning paths3

Logan has been involved in software development and research for over eleven years, including six years in the cloud. He is an AWS Certified DevOps Engineer - Professional, MCSE: Cloud Platform and Infrastructure, Google Cloud Certified Associate Cloud Engineer, and Certified Kubernetes Administrator (CKA). He earned his Ph.D. studying design automation and enjoys all things tech.