A collection of example VMs provisioned with Ansible and Vagrant for learning infrastructure automation.
Ansible Vagrant Examples is a collection of example virtual machines that demonstrate how to use Ansible for infrastructure automation. It provides pre-built configurations for various applications like Docker, Drupal, GitLab, and Jenkins, allowing users to quickly spin up local VMs and see Ansible in action. The project solves the problem of learning infrastructure-as-code by offering practical, runnable examples.
DevOps engineers, system administrators, and developers who want to learn Ansible and infrastructure automation through hands-on examples. It's particularly useful for those new to configuration management or looking to expand their Ansible skills.
Developers choose this project because it provides immediate, working examples that reduce the learning curve for Ansible and Vagrant. Unlike generic documentation, it offers concrete implementations for popular applications that users can study, modify, and apply to their own projects.
Ansible examples using Vagrant to deploy to local VMs.
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Users can immediately run and modify VMs with a single `vagrant up` command, as emphasized in the README, reducing the learning curve for Ansible.
Includes pre-configured stacks for Docker, GitLab, Jenkins, and more, providing practical use cases that demonstrate Ansible's flexibility in real-world scenarios.
Leverages Ansible Galaxy roles, which are community-maintained and promote reliable, reusable configuration management, as noted in the README.
Linked to the author's book 'Ansible for DevOps', offering deeper context and structured learning beyond the examples.
Requires installation of Vagrant, VirtualBox, and Ansible, which can be complex and may conflict with existing toolchains or cloud-native workflows.
Examples are designed for learning and lack optimizations like security hardening or scalability features needed for live deployments.
Some examples, such as ELK, have been moved or deprecated, indicating potential staleness and limited support for newer technologies.