Ansible is an extremely powerful data center automation tool: most of its power comes from not being too strict into defining a structure - this enables it to be used into extremely complex scenarios as well as to very quickly set it up in quite trivial scenarios.

But this is a two edged sword: too many times I saw POC for adopting it permed POC with too poor requirements, thinking they can reuse what they experimented as a baseline for structuring Ansible: this is a very harmful error that quickly lead to unmaintainable real life environments with duplicated code and settings, often stored into structures without a consistent logic or naming, so losing the most of the benefits of such a great automation tool.

Ansible playbooks best practices: caveats and pitfalls starts from where we left with Ansible inventory best practices: caveats and pitfalls, exploring how to properly deal with writing playbooks, structuring things both to promote maintainability as well as to ease the operation and configuration tasks.

Ansible is an extremely powerful data center automation tool: most of its power comes from not being too strict into defining a structure - this enables it to be used into extremely complex scenarios as well as to very quickly set it up in quite trivial scenarios.

But this is a two edged sword: too many times I saw POC for adopting it permed POC with too poor requirements, thinking they can reuse what they experimented as a baseline for structuring Ansible: this is a very harmful error that quickly lead to unmaintainable real life environments with duplicated code and settings, often stored into structures without a consistent logic or naming, so losing the most of the benefits of such a great automation tool.

Ansible inventory best practices: caveats and pitfalls is the post from where we begin exploring how to properly structure Ansible to get all of its power without compromises, structuring things in an easy and straightforward way suitable for almost every operating scenario.