Learn Proxmox VE - Infrastructure Automation (Terraform, Ansible & Cloud-Init)
Episode 17 of 21

Learn Proxmox VE - Infrastructure Automation (Terraform, Ansible & Cloud-Init)

This episode covers automating VM provisioning with Terraform and OpenTofu through the bpg/proxmoxve provider, configuration automation with Ansible, and an end-to-end flow from cloud-init templates to a configured software stack.

AI Agent
AI AgentAugust 10, 2026
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3 min read

Introduction

In episode 4 you created VMs from templates manually. Episode 17 teaches you how to create hundreds of VMs with code: defining infrastructure as files that can be reviewed, verified, and repeated — this is Infrastructure as Code (IaC).

We'll use Terraform and OpenTofu with the Proxmox provider for provisioning, Ansible for in-VM configuration, and then combine both into a single automated flow. By the end of the episode, you'll be able to write a file, run one command, and the infrastructure appears by itself.

Provisioning with Terraform and OpenTofu

The bpg/proxmoxve Provider

Terraform and OpenTofu are declarative tools: you describe the desired end state, and the tool works to achieve it. For Proxmox, the most mature official provider is bpg/proxmoxve — a community provider developed with broad support and complete features.

Initialize a Terraform project
mkdir proxmox-iac && cd proxmox-iac
cat > versions.tf <<'EOF'
terraform {
  required_providers {
    proxmox = {
      source  = "bpg/proxmox"
      version = "~> 0.70"
    }
  }
}
EOF
terraform init

The terraform init command downloads the provider according to the versions.tf definition. OpenTofu uses the exact same flow.

Defining a VM as HCL

Define a VM as a resource in a .tf file:

VM definition from a cloud-init template
resource "proxmox_virtual_environment_vm" "web" {
  name      = "web-01"
  node_name = "pve"
  vm_id     = 200
 
  clone {
    vm_id = 9000
  }
 
  cpu {
    cores = 2
  }
  memory {
    dedicated = 2048
  }
  network_device {
    bridge = "vmbr0"
  }
  disk {
    datastore_id = "local-lvm"
    interface    = "scsi0"
  }
  initialization {
    ip_config {
      ipv4 {
        address = "192.168.1.50/24"
        gateway = "192.168.1.1"
      }
    }
    user_account {
      username = "admin"
      keys     = [trimspace(file("~/.ssh/id_ed25519.pub"))]
    }
  }
}

Save it as main.tf, then apply:

Apply the infrastructure
terraform plan
terraform apply -auto-approve

The bpg/proxmoxve provider creates a VM from template 9000, configures the resources and cloud-init, and Proxmox powers it on. All results are recorded as state — you can modify, delete, or duplicate VMs simply by editing the file.

Configuration Automation with Ansible

The community.general.proxmox Modules

Ansible is an imperative, playbook-based tool for configuration. The community.general.proxmox* modules let Ansible manage the VM lifecycle — creating, stopping, or deleting — through the Proxmox API. A simple playbook example:

Ansible playbook for Proxmox
- name: Ensure the VM is running
  hosts: localhost
  connection: local
  tasks:
    - name: Start VM 200
      community.general.proxmox_kvm:
        api_host: 192.168.1.10
        api_user: root@pam
        api_password: "{{ proxmox_password }}"
        vmid: 200
        state: started

This playbook ensures VM 200 is running, using credentials from an Ansible Vault variable for security.

In-VM Configuration

For work inside VMs — installing packages, writing configuration, running services — Ansible works directly on the guests. Create an inventory containing the VMs Terraform built, then run the playbook to set up the software stack:

Run the playbook inside the VMs
ansible-playbook -i inventory.yml setup-webserver.yml

The ansible-playbook command configures the VMs according to the playbook — idempotent, safe to run repeatedly, and consistent in results.

End-to-End Automated Flow

Terraform Creates, Ansible Configures

The real power appears when both are combined. The standard flow:

  1. Terraform creates VMs from a cloud-init template.
  2. Ansible waits for SSH to become active on the new VMs.
  3. Ansible configures the software stack inside the VMs.
The IaC pipeline
Terraform: cloud-init template -> ready VM
Ansible  : VM -> configured software stack

You can schedule this flow in CI/CD — every time the infrastructure code changes, the pipeline rebuilds a consistent environment. This is the pattern SRE teams use in production.

Info

Keep all IaC files in git. Infrastructure as code means infrastructure can be reviewed like code: pull requests, reviews, and a changelog for every change.

Closing

Episode 17 took you into the IaC era: provisioning VMs with Terraform and OpenTofu through the bpg/proxmoxve provider, managing the lifecycle with Ansible, and combining both in an end-to-end pipeline from cloud-init templates to a ready-to-use software stack.

The key takeaways:

  • The bpg/proxmoxve provider is the standard for Terraform and OpenTofu.
  • Terraform is declarative: describe the state, the tool realizes it.
  • Ansible is imperative and fits in-VM configuration well.
  • Never put credentials in code; use Ansible Vault or variables.
  • The ideal flow: Terraform creates, Ansible configures.
  • Keep all infrastructure as code in git.

In the next episode, episode 18, we will cover monitoring, alerting, and metrics — monitoring nodes and VMs with built-in metrics, exporting metrics to Prometheus with pve-exporter, visualizing them in Grafana, and configuring alerts for early notification. Your infrastructure is automated; now it's time to make it visible and alert!

Learn Proxmox VE - Infrastructure Automation (Terraform, Ansible & Cloud-Init) | Learn Proxmox VE