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ansible/molecule

0
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4,112 stars·668 forks·Python·MIT·20 viewsansible.readthedocs.io/projects/molecule↗

Molecule

Molecule is an infrastructure test orchestrator and testing framework designed for Ansible roles and collections. It functions as an ephemeral environment manager that spins up and tears down temporary test hosts to validate infrastructure code in isolation.

The project distinguishes itself through a specialized idempotency validator that executes automation sequences multiple times to ensure no unintended changes occur after the initial desired state is reached. It utilizes a driver-based provisioning model to support the creation of test targets across containers, virtual machines, and cloud instances.

The tool manages the full test lifecycle through phase-based orchestration, covering everything from environment provisioning and convergence to functional outcome validation and resource destruction. It supports parallel scenario execution, custom test image building, and the integration of both static and dynamic inventory sources to ensure automation behaves consistently across different platforms.

Features

  • Idempotency Testing - Implements a specialized validator that executes automation multiple times to verify that no unintended changes occur after the initial run.
  • Ansible Testing Frameworks - Provides a comprehensive framework for linting, validating, and testing Ansible roles and collections.
  • State Validation - Runs full sequences of provisioning and verification to confirm playbooks achieve the intended system state.
  • Driver-Based Provisioning - Implements modular drivers to provision and tear down ephemeral test targets like containers and virtual machines.
  • Automated Testing Containers - Spins up ephemeral container instances as test hosts and destroys them after executing configuration playbooks.
  • Infrastructure Idempotency Validators - Executes automation multiple times to ensure no unintended changes occur after the initial successful run.
  • Infrastructure Idempotency Testing - Confirms that repeated applications of infrastructure code result in the same state without unexpected changes.
  • Test Lifecycle Phases - Orchestrates the full test process through a sequence of distinct phases including convergence and destruction.
  • Testing Lifecycle Management - Coordinates the complete testing process by mapping actions to provisioning and resource destruction phases.
  • Outcome Verification - Executes verification tasks after automation to compare the actual system state against expected functional outcomes.
  • Automated Infrastructure Testing - Validates Ansible roles and collections by executing them across containers, virtual machines, and cloud infrastructure.
  • Ephemeral Testing Environments - Spins up and tears down isolated, short-lived container or VM instances to validate infrastructure code.
  • Test Orchestration - Coordinates the lifecycle, dependencies, and execution order of infrastructure test environments.
  • Test Image Templates - Builds custom container images using direct files or templates to define specific test environments.
  • Dynamic Inventory Resolution - Resolves test hosts using static files or dynamic scripts to ensure production-parity environments.
  • Ansible Playbooks - Provides native execution of Ansible playbooks to verify infrastructure state on provisioned test targets.
  • Automation Inventory Management - Enables the use of external files and scripts to manage target machine groups for automation testing.
  • Environment Verifications - Verifies that inventory configurations and dynamic sources are reachable and properly configured before test execution.
  • Cross-Environment Test Harnesses - Executes test scenarios across diverse targets like Linux containers or network simulations to ensure consistent automation behavior.
  • Test Sequence Control - Allows defining the custom order of testing phases to create tailored validation workflows.
  • Parallel Test Execution - Runs multiple test environments and scenarios concurrently to reduce total validation time.
  • Parallel Test Execution - Executes multiple test scenarios simultaneously to reduce the total duration of the infrastructure validation suite.
  • Targeted Test Execution - Allows running a specific subset of test cases or full lifecycles for a named environment to isolate failures.
  • Cross-Platform Test Execution - Verifies that automation code behaves consistently across different operating systems and cloud providers.

Star history

Star history chart for ansible/moleculeStar history chart for ansible/molecule

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Frequently asked questions

What does ansible/molecule do?

Molecule is an infrastructure test orchestrator and testing framework designed for Ansible roles and collections. It functions as an ephemeral environment manager that spins up and tears down temporary test hosts to validate infrastructure code in isolation.

What are the main features of ansible/molecule?

The main features of ansible/molecule are: Idempotency Testing, Ansible Testing Frameworks, State Validation, Driver-Based Provisioning, Automated Testing Containers, Infrastructure Idempotency Validators, Infrastructure Idempotency Testing, Test Lifecycle Phases.

Which projects share features with ansible/molecule?

Projects with overlapping indexed features include: gruntwork-io/terratest — Terratest is a Go library and testing framework designed for automating the deployment, validation, and destruction of… testcontainers/testcontainers-java — Testcontainers for Java is a library for launching and managing disposable Docker containers to provide isolated… test-kitchen/test-kitchen — Test Kitchen is an infrastructure testing framework designed to automate the lifecycle of infrastructure code and… junit-team/junit-framework — This project is a JVM testing framework that provides a foundation for defining and running automated tests using a… fizzadar/pyinfra — pyinfra is an agentless infrastructure automation framework that turns declarative Python code into idempotent shell… goss-org/goss — Goss is a declarative system validation framework that verifies server state by comparing live system attributes…

Projects sharing features with Molecule

These projects share indexed features with Molecule. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
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    gruntwork-io/terratest

    7,879View on GitHub↗

    Terratest is a Go library and testing framework designed for automating the deployment, validation, and destruction of infrastructure stacks. It serves as a cloud resource verification tool that interacts with provider APIs and executes remote shell commands to ensure infrastructure definitions are correctly configured. The framework provides specialized support for validating Terraform modules and Kubernetes deployments, including the verification of container orchestration manifests and Helm charts. It distinguishes itself through the use of Docker container utilities for script execution a

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  • testcontainers/testcontainers-javatestcontainers avatar

    testcontainers/testcontainers-java

    8,660View on GitHub↗

    Testcontainers for Java is a library for launching and managing disposable Docker containers to provide isolated dependencies for automated tests. It provides specialized provisioners for containerized databases, a manager for WebDriver browser containers, and an orchestrator for deploying multi-container applications via Docker Compose. The project ensures reproducible data states through database schema initialization and provides integration with JUnit to manage the lifecycle of external services. It supports automated browser testing by launching Selenium containers with the ability to re

    Java
    View on GitHub↗8,660
  • fizzadar/pyinfraFizzadar avatar

    Fizzadar/pyinfra

    5,793View on GitHub↗

    pyinfra is an agentless infrastructure automation framework that turns declarative Python code into idempotent shell commands to manage servers, containers, and local machines over SSH without requiring any pre-installed software on target hosts. It operates by comparing the desired state of a system against its current state, using a dry-run simulation mode to preview changes and a fact-based conditional execution engine to gather host attributes at runtime and control which operations run. The tool compiles Python operations into optimized shell commands and executes them in parallel across

    Python
    View on GitHub↗5,793
  • junit-team/junit-frameworkjunit-team avatar

    junit-team/junit-framework

    7,032View on GitHub↗

    This project is a JVM testing framework that provides a foundation for defining and running automated tests using a pluggable engine architecture. It functions as a JVM test orchestrator and a modular test engine API, allowing multiple testing engines to be grouped and executed as a single coordinated unit. The framework includes a platform launcher for discovering and executing test suites from build systems, integrated development environments, or the command line. It enables the creation of custom testing frameworks through a standardized interface that integrates into a shared execution p

    Javajavajunitjunit-jupiter
    View on GitHub↗7,032
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