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Deployment in Nomad

We will test the actual deployment of an application using Nomad. Create a new file named example.nomad and add the following content to it:

job "example" {
region: global

group "example" {
        task "server" {
        driver = "docker"

config {
     image = "nginx"
       port_map {
         http = 80
}
}

resources {
cpu = 500  # 500 MHz
memory = 256  # 256MB
}

service {
name = "web"
port = "http"
}
}
}
}

 

This job file defines a simple task that runs an Nginx container. Save the file and run the following command to start the job:

$ nomad job run example.nomad

 

You can check the status of the job using the following command:

$ nomad job status example

 

If everything is configured correctly, you should see the job running successfully.

Access the Application

To access the application deployed by Nomad, open a web browser and enter the IP address of your Nomad server followed by the port number specified in the job file (in this case, port 80). You should see the default Nginx welcome page indicating that the deployment was successful.

Conclusion

In this guide, we have covered the installation of HashiCorp Nomad on Windows systems. We walked through the steps of downloading the Nomad binary, configuring the environment variables, starting the Nomad server, and joining a client machine to the cluster. Additionally, we verified the installation and configuration by checking the Nomad version and deploying a sample application.

Nomad provides a powerful platform for managing containerized and non-containerized applications at scale. By following the instructions in this guide, you should now have a working Nomad setup on your Windows system, ready to deploy and orchestrate your applications efficiently.

You can find more amazing blogs on this link and the official documentation.

Picture of Vikas Vashisth

Vikas Vashisth

Vikas Vashisth is working as a Sr.DevOps Engineer at Knoldus | Part of Nashtech with having more than multiple years of experience in the field of continuous integration and delivery, infrastructure automation, and containerization enables me to build scalable, reliable, and highly available environments. I am proficient in tools such as Docker, Kubernetes, Jenkins, Ansible, and Terraform, and have experience working with cloud platforms such as AWS, GCP, and Azure.

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