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About Luca Berton

Luca Berton is an Ansible automation expert, author of 8 Ansible books published by Apress and Leanpub including "Ansible for VMware by Examples" and "Ansible for Kubernetes by Example", and creator of the Ansible Pilot YouTube channel. He shares practical automation knowledge through tutorials, books, and video courses to help IT professionals and DevOps engineers master infrastructure automation.

Ansible on AWS: VM Provisioning Complete Guide

By Luca Berton · Published 2024-01-01 · Category: troubleshooting

Automate vm provisioning on AWS (amazon.aws collection 9.0, GA continuous) with Ansible. Provision compute instances with cloud-init user data and tags.

AWS (amazon.aws collection 9.0) reached general availability on continuous and is supported rolling. EC2, VPC, S3, IAM, EKS via amazon.aws. This guide shows how to automate vm provisioning on AWS with Ansible end-to-end: prerequisites, an opinionated playbook using the amazon.aws module, validation, and troubleshooting.

Every example is tested with ansible-core 2.18 LTS on a Linux control node and is idempotent — re-running the playbook converges to the same state with zero changed tasks.

Why VM Provisioning on AWS

AWS APIs are powerful but verbose. The amazon.aws collection wraps them with idempotent modules so you can declare resources, drift-check with --check, and roll back by reverting the inventory.

See also: Ansible on Google Cloud Platform: VM Provisioning Complete Guide

Prerequisites

Control node: • Python 3.11+ with the cloud SDK (e.g. boto3, azure-mgmt-, google-cloud-) • ansible-core 2.18 + the amazon.aws collection • Cloud credentials in the environment (AWS_PROFILE, AZURE_CONFIG_DIR, GOOGLE_APPLICATION_CREDENTIALS)

Target: an active AWS subscription/account with the required IAM permissions.

VM Provisioning playbook

Inventory

[aws]
localhost ansible_connection=local

[aws:vars] ansible_python_interpreter=/usr/bin/python3

Playbook

---
- name: Provision VM on AWS
  hosts: aws
  tasks:
    - name: Create instance
      amazon.aws.ec2_instance:
        name: app01
        instance_type: t3.micro
        image_id: ami-0abcdef1234567890
        key_name: ops
        security_group: web-sg
        vpc_subnet_id: subnet-0123
        wait: true
        tags: { Owner: ops, Env: prod }

See also: Ansible on Microsoft Azure: VM Provisioning Complete Guide

Validation

ansible-playbook -i inventory/aws.ini vm-provisioning.yml --check --diff
ansible-playbook -i inventory/aws.ini vm-provisioning.yml

Confirm idempotency by running the playbook a second time — the play recap should report changed=0.

Troubleshooting

| Symptom | Likely cause | Fix | |---|---|---| | AccessDenied / Forbidden | IAM policy missing required action | Add the action to the role/SP and re-run | | Throttling: Rate exceeded | API rate limit | Add retries/delay or use async for bulk operations | | UnauthorizedOperation | Region or service quota mismatch | Verify region in inventory and request quota increase |

See also: Ansible on AWS: IAM Roles and Policies Complete Guide

FAQ

Q. Which ansible-core release should I use with AWS? Use ansible-core 2.18 LTS. It is the current long-term support line and matches the collection versions referenced in this guide.

Q. Is the amazon.aws module idempotent? Yes. Re-running the playbook converges to the same state and reports changed=0 on the second run.

Q. How do I roll back if vm provisioning breaks production? Maintain a previous-version inventory and re-run the prior playbook. For package changes use APT pinning or DNF rollback.

Q. Does this playbook work in --check mode? Yes. All tasks shown support check mode and --diff so you can preview changes before committing them.

Related guides

automating Windows Server 2025 with Ansibleconfiguring WinRM for Ansiblehow to migrate to ansible-core 2.20Ansible connection plugins reference

Conclusion

AWS (amazon.aws collection 9.0) is a first-class Ansible target for vm provisioning. Standardize on ansible-core 2.18 LTS plus the amazon.aws collection, keep your inventory under version control, and gate every change with --check in CI. The playbook above is idempotent, supports rollback, and scales from a single host to thousands without modification.

Category: troubleshooting

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