Provisioning Drivers on

Overview

Mon, 17 Feb 2025 00:00:00 +0000

The OpenNebula Formation driver system provides a centralized solution for managing cloud and edge infrastructure across different cloud providers. By using Terraform to handle infrastructure setup and Ansible for configuring resources after deployment, OneForm integrates Edge Clusters seamlessly into the OpenNebula workflow, simplifying overall management.

The driver system is designed with modularity and flexibility in mind, allowing each Provider to define its provisioning logic within a consistent structure. A core part of the driver philosophy is the self-contained design, bundling all necessary components directly within the driver itself, facilitating importing and exporting Providers.

Developing a Provisioning Driver

Thu, 05 Jun 2025 00:00:00 +0000

Here you will find a detailed step-by-step guide to creating a new provisioning driver for OpenNebula Formation. It covers all the necessary components starting with the basic configuration, infrastructure provisioned using Terraform, and post-deployment configuration handled by Ansible.

Important

Creating a driver requires working knowledge of both Terraform and Ansible, as they are fundamental to the provisioning and configuration workflows.

Getting Started from Scratch

A driver in OneForm is a self-contained directory that bundles everything required to provision and configure infrastructure. It integrates with OpenNebula and OneForm to automate deployments across various cloud providers.

Customizing a Provisioning Driver

Mon, 17 Feb 2025 00:00:00 +0000

Here you will find detailed instructions on customizing and extending existing drivers in OneForm. It covers common scenarios such as adding new zones, modifying resources, adding user inputs, and configuring new images or operating systems.

Adding New User Inputs

There are two ways to introduce user inputs: Terraform variables and Jinja2 templates.

Inputs via Terraform Variables

Declare the variable in variables.tf. Optionally, add custom validations in validators.tf.

Example variables.tf:

variable "disk_size" {
 description = "Disk size for the instance"
 type = number
 default = 50
}

Validator (validators.tf):