CloudAcademy

Working With Marathon Pods in 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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Installing the DC/OS CLI on Linux
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Creating Your First Marathon Pod
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Creating a More Complex Marathon Pod

Ready for the real environment experience?

DifficultyIntermediate
Duration50m
Students22

Description

Lab Overview

By working with Marathon pods in DC/OS you can share resources among a group of applications on a single agent and manage them as a single unit. This is often used for running a logging or analytics application alongside a primary application. Legacy applications may also fit into a pod without having to update any code. For example, if services in a legacy application communicate over the loopback network interface. In this Lab, you will deploy a couple of pods to illustrate the capabilities and limitations of working with Marathon pods in DC/OS.

Lab Objectives

Upon completion of this Lab you will be able to:

  • Write Marathon pod definitions
  • Manage Marathon pods from the DC/OS GUI and CLI
  • Use volumes, health checks, and endpoints with pods

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
  • 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

Students8573
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.