Learn how to automate infrastructure provisioning and configuration management using Ansible playbooks.

Infrastructure as Code with Ansible

Ansible provides a simple yet powerful way to automate infrastructure management. This guide covers best practices for Infrastructure as Code.

Ansible Basics#

Playbook Structure#

---
- name: Configure web servers
  hosts: webservers
  become: yes
  tasks:
    - name: Install nginx
      apt:
        name: nginx
        state: present
    
    - name: Start nginx
      systemd:
        name: nginx
        state: started
        enabled: yes

Best Practices#

1. Use Roles: Organize playbooks into reusable roles
2. Idempotency: Ensure tasks can run multiple times safely
3. Variables: Use variables for configuration
4. Vault: Encrypt sensitive data with Ansible Vault
5. Testing: Test playbooks with Molecule

Example Role Structure#

roles/
  nginx/
    tasks/
      main.yml
    handlers/
      main.yml
    templates/
      nginx.conf.j2
    vars/
      main.yml

Conclusion#

Ansible simplifies infrastructure automation with its declarative approach and agentless architecture.

Production Notes 1#

For Infrastructure as Code with Ansible, define pre-deploy checks, rollout gates, and rollback triggers before release. Track p95 latency, error rate, and cost per request for at least 24 hours after deployment. If the trend regresses from baseline, revert quickly and document the decision in the runbook.

Keep the operating model simple under pressure: one owner per change, one decision channel, and clear stop conditions. Review alert quality regularly to remove noise and ensure on-call engineers can distinguish urgent failures from routine variance.

Repeatability is the goal. Convert successful interventions into standard operating procedures and version them in the repository so future responders can execute the same flow without ambiguity.

Production Notes 2#

For Infrastructure as Code with Ansible, define pre-deploy checks, rollout gates, and rollback triggers before release. Track p95 latency, error rate, and cost per request for at least 24 hours after deployment. If the trend regresses from baseline, revert quickly and document the decision in the runbook.

Keep the operating model simple under pressure: one owner per change, one decision channel, and clear stop conditions. Review alert quality regularly to remove noise and ensure on-call engineers can distinguish urgent failures from routine variance.

Repeatability is the goal. Convert successful interventions into standard operating procedures and version them in the repository so future responders can execute the same flow without ambiguity.

Production Notes 3#

For Infrastructure as Code with Ansible, define pre-deploy checks, rollout gates, and rollback triggers before release. Track p95 latency, error rate, and cost per request for at least 24 hours after deployment. If the trend regresses from baseline, revert quickly and document the decision in the runbook.

Keep the operating model simple under pressure: one owner per change, one decision channel, and clear stop conditions. Review alert quality regularly to remove noise and ensure on-call engineers can distinguish urgent failures from routine variance.

Repeatability is the goal. Convert successful interventions into standard operating procedures and version them in the repository so future responders can execute the same flow without ambiguity.

Production Notes 4#

For Infrastructure as Code with Ansible, define pre-deploy checks, rollout gates, and rollback triggers before release. Track p95 latency, error rate, and cost per request for at least 24 hours after deployment. If the trend regresses from baseline, revert quickly and document the decision in the runbook.

Keep the operating model simple under pressure: one owner per change, one decision channel, and clear stop conditions. Review alert quality regularly to remove noise and ensure on-call engineers can distinguish urgent failures from routine variance.

Repeatability is the goal. Convert successful interventions into standard operating procedures and version them in the repository so future responders can execute the same flow without ambiguity.