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Using Attributes to Constrain Marathon Container Scheduling 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 with Agent Forwarding
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Adding Agent Attributes to DC/OS Nodes
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Using Attributes to Constrain Marathon Applications

Ready for the real environment experience?

DifficultyBeginner
Duration50m
Students27

Description

Lab Overview

Agents in a DC/OS cluster can be assigned attributes. Attributes are a kind of metadata that you can use to organize your infrastructure. Attributes can be used to indicate which physical server rack an agent resides in, what special hardware or software capabilities an agent has access to or anything else that can be useful in identifying agents. The Marathon container orchestration tool can incorporate attribute constraints when it schedules applications in the cluster. By using attributes to constrain Marathon container scheduling in DC/OS you will launch fault-tolerant, resource-aware container applications in this Lab.

Lab Objectives

Upon completion of this Lab you will be able to:

  • Assign attributes to agents in a DC/OS cluster
  • Write Marathon application definitions with constraints
  • Diagnose Marathon scheduling failures in the DC/OS 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
  • 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

Students6161
Labs57
Courses3
Learning paths2

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, and Certified Kubernetes Administrator (CKA). He earned his Ph.D. studying design automation and enjoys all things tech.