Testing Strategies

Last updated: January 12, 2026

📚 Reference: This guide aligns with the official Testing Strategiesarrow-up-right documentation.

My Testing Journey with Ansible

Early in my Ansible career, I deployed a playbook to production that I thought was perfect. It had worked flawlessly in my test environment. Within minutes of the production run, I realized I'd made a critical error – my test environment didn't accurately reflect production, and a seemingly minor difference caused a catastrophic failure.

That experience taught me a valuable lesson: testing Ansible automation is not optional, it's essential. This guide shares the testing strategies I've developed over years of building production Ansible automation.

Why Test Ansible Code?

You might ask, "Isn't Ansible idempotent? Why do I need tests?" Here's why:

  1. Idempotence ≠ Correctness: Ansible may not change state, but that doesn't mean it configured things correctly.

  2. Environment Differences: Development and production are never identical.

  3. Dependency Changes: Collections and modules update; your code needs to adapt.

  4. Team Collaboration: Tests document expected behavior for team members.

  5. Confidence: Tests enable you to refactor and improve without fear.

The Testing Pyramid for Ansible

Just like software development, Ansible automation benefits from a testing pyramid:

spinner

Level 1: Syntax and Linting (Foundation)

The quickest, cheapest tests catch the most obvious errors.

Level 2: Unit Tests (Core)

Test individual components in isolation.

Level 3: Functional Tests (Middle)

Test roles and tasks with real Ansible execution.

Level 4: Integration Tests (Top)

Test complete playbooks against real or simulated infrastructure.

Level 1: Syntax Validation and Linting

Syntax Checking

Always start with basic syntax validation:

YAML Linting with yamllint

Install and configure yamllint:

Ansible Linting with ansible-lint

Pre-commit Hooks

Automate syntax checking with git pre-commit hooks:

Level 2: Unit Testing

Testing Custom Filters

If you've created custom filters, unit test them:

Testing Custom Modules

Level 3: Functional Testing with Molecule

Molecule is the standard for testing Ansible roles.

Installing Molecule

Creating a New Role with Molecule

Molecule Configuration

Converge Playbook

Verification Tests

Running Molecule Tests

Real-World Molecule Example: Nginx Role

Level 4: Integration Testing

Test Kitchen for Ansible (Alternative to Molecule)

ServerSpec for Verification

InSpec for Compliance Testing

CI/CD Integration

GitHub Actions

GitLab CI

Test-Driven Development (TDD) with Ansible

Write Tests First

Implement Role to Pass Tests

Performance Testing

Measuring Playbook Performance

Using ansible-runner for Metrics

Best Practices Summary

  1. Test at Multiple Levels: Syntax → Unit → Functional → Integration

  2. Automate Testing: Use CI/CD pipelines

  3. Test Idempotence: Ensure playbooks can run multiple times

  4. Test on Multiple Platforms: Use matrix testing

  5. Use Check Mode: Test without making changes

  6. Version Control Tests: Keep tests with code

  7. Document Expected Behavior: Tests are documentation

  8. Test Failure Scenarios: Don't just test happy paths

  9. Monitor Performance: Track execution time

  10. Regular Test Maintenance: Keep tests updated

Conclusion

Testing Ansible automation transforms it from "scripts that might work" to "reliable, documented infrastructure code." Whether you're managing two servers or two thousand, proper testing strategies ensure your automation is dependable, maintainable, and trustworthy.

Start with syntax checks, add linting, incorporate Molecule for roles, and build up to full integration testing. Your infrastructure – and your team – will thank you.


Further Reading

Ready to build bulletproof automation? Start testing today! ✅

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