Automating Vultr Cloud Infrastructure with Terraform

Configure Vultr cloud infrastructure using Terraform

Terraform is an open source infrastructure as code (IaC) tool that allows users to define, configure, and manage cloud infrastructure using declarative configuration files. With Terraform, you can automate the process of creating and managing resources such as servers, databases, networks, and storage across multiple cloud providers. One of the major advantages of Terraform is its ability to maintain infrastructure status, ensure consistency and simplify update or scaling operations. By using version-controlled configurations, teams can collaborate more effectively, and infrastructure changes become repeatable and predictable.

This article describes how to configure Vultr cloud infrastructure using Terraform. You will use your Vultr account API key to configure multiple resources such as cloud instances, Kubernetes clusters, and databases.

1. Set up Terraform

1. Download Terraform according to your operating system.
2. Create a Terraform directory to store resource files: mkdir vultr-terraform
3. Switch to this directory: cd vultr-terraform
4. Create a new file named provider.tf to store Vultr provider information: nano provider.tf
5. Paste the following:

<code class="language-terraform">terraform {
  required_providers {
    vultr = {
      source  = "vultr/vultr"
      version = "2.21.0"
    }
  }
}

provider "vultr" {
  api_key = var.VULTR_API_KEY
}

variable "VULTR_API_KEY" {}</code>

Save and close the file.

6. Create a new file named terraform.tfvars to define your Vultr API key: nano terraform.tfvars
7. Paste the following command into the file:

<code class="language-terraform">VULTR_API_KEY = "your_vultr_api_key" // 请替换为您的实际API密钥</code>

8. Initialize Terraform to install Vultr Terraform provider: terraform init

The output should display a message telling Terraform that it has been successfully initialized.

2. Configure Vultr cloud computing instance

1. Create a new file named vultr_instance.tf: nano vultr_instance.tf
2. Paste the following:

<code class="language-terraform">resource "vultr_instance" "my_instance" {
  label       = "sample-server"
  plan        = "vc2-1c-1gb"
  region      = "sgp"
  os_id       = "2284"
  enable_ipv6 = true
}</code>

• vultr_instance: Set the Vultr resource type to be deployed.
• label: Specify the instance tag.
• plan: Set the required instance specifications. vc2-1c-1gb Plan to match Vultr instances with vc2 type, 1 vCPU core, and 1GB of RAM.
• region: Specifies the Vultr area to deploy the instance. sgpDeploy the instance to the Singapore Vultr location.
• os_id: Set up the instance operating system (OS) through ID. The value 2284 represents Ubuntu 24.04.

3. Preview changes you will apply: terraform plan
4. Create Vultr instance: terraform apply

When prompted, enter yes to confirm that you want to apply the changes. After success, you should be able to see the created resources in the Vultr customer portal.

3. Configure multiple resources at once

1. Create a new file named main.tf: nano main.tf
2. Paste the following:

<code class="language-terraform">terraform {
  required_providers {
    vultr = {
      source  = "vultr/vultr"
      version = "2.21.0"
    }
  }
}

provider "vultr" {
  api_key = var.VULTR_API_KEY
}

variable "VULTR_API_KEY" {}</code>

Save and close the file.

This Terraform configuration defines two resources on Vultr:

1. Vultr cloud computing example: vultr_instanceResource configuration is a virtual machine (VM) named "sample-server2". This instance is configured as:

   • Use the vc2-1c-1gb plan, providing 1 CPU and 1GB of RAM.
   • Deployed in the Bengaluru (blr) region.
   • Run Ubuntu 24.04 (specified by os_id = "2284").
   • Enable IPv6 for instance.

2. Vultr Kubernetes cluster: vultr_kubernetes Resource Set up a Kubernetes cluster named "my-cluster2" in the Bangalore (blr) region, with the Kubernetes version v1.31.0 1. The cluster has:

   • A node pool with 3 nodes, each node uses a vc2-2c-4gb plan (2 CPUs per node and 4GB RAM).
   • Automatic scaling is enabled, the number of nodes in the pool is at least 1 and up to 4.

This configuration allows configuration of a single cloud computing instance as well as a scalable Kubernetes cluster, all managed through Terraform.

3. Preview changes you will apply: terraform plan
4. Create Vultr resource: terraform apply

When prompted, enter yes to confirm that you want to apply the changes. After success, you should be able to see the created resources in the Vultr customer portal.

You can also configure other Vultr resources such as object storage and block storage and Vultr managed databases.

IV. More Vultr operations

• Install Node.js and NPM on Rocky Linux 9.
• Install Python and Pip on Ubuntu 24.04.
• Install Podman on Ubuntu 24.04.
• Install Docker on Rocky Linux 9.

(This article is sponsored by Vultr. Vultr is the world's largest private cloud computing platform. Vultr is loved by developers and has provided flexible and scalable global cloud computing and cloud to more than 1.5 million customers in 185 countries. GPU, bare metal and cloud storage solutions. Learn more about Vultr)

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