Lab
A Cloud Guru

Setting an Affinity for a Nomad Job in a Cluster

There are times when you want your Nomad jobs to be sent to specific locations. For instance, you may want a percentage of the jobs to be run in a separate datacenter. In this lab, you are tasked with creating a job file and adjusting it so that it prefers to be in a different datacenter. You have been provided with a Nomad cluster that has two client nodes. The tasks you will perform in this hands-on lab will be performed on the provided Nomad server. The Nomad server has been configured with one server agent and two client agents. Docker has been installed so that Nomad is ready to run jobs.

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Path Info

Level

Advanced

Duration

30m

Published

Nov 06, 2020

Challenge

Log in to the Provided Nomad Server

Log into the server as "cloud_user" with the provided password to perform the tasks.
Challenge

Create a Default Example Job Called dc2-test.nomad, with an Affinity for dc2
1. Using the appropriate commands and the Nomad CLI, initialize a job file called dc2-test.nomad.
2. Change the job so that it will have an affinity of 100% for the node in dc2, and its job name should show as dc2-test when run.
Challenge

Submit the Job to Run in the Cluster

You should submit the job to run in the provided cluster. The job should run without errors.
Challenge

Check if the Job is Running in the Correct Node

The job should run on the node that is in the dc2 datacenter. You must check which node is running the job and see whether it is in dc1 or dc2.

Author

A Cloud Guru

The Cloud Content team comprises subject matter experts hyper focused on services offered by the leading cloud vendors (AWS, GCP, and Azure), as well as cloud-related technologies such as Linux and DevOps. The team is thrilled to share their knowledge to help you build modern tech solutions from the ground up, secure and optimize your environments, and so much more!

What's a lab?

Hands-on Labs are real environments created by industry experts to help you learn. These environments help you gain knowledge and experience, practice without compromising your system, test without risk, destroy without fear, and let you learn from your mistakes. Hands-on Labs: practice your skills before delivering in the real world.