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Ansible

The Future Is Now

Ansible is a radically simple model-driven configuration management, deployment, and command execution framework. Other tools in this space have been too complicated for too long, require too much bootstrapping, and have too much learning curve. Ansible is dead simple and painless to extend. For comparison, Puppet and Chef have about 60k lines of code. Ansible’s core is a little over 1000 lines.

Ansible isn’t just for idempotent configuration – it’s also great for ad-hoc tasks, quickly firing off commands against nodes. See Command Line.

Innovative Multi-node Control

Where Ansible excels though, is expressing complex multi-node deployment processes, executing ordered sequences on different sets of nodes through Playbooks. Playbooks contain one or more plays, each executed against a different batch of nodes. Think about webservers, database servers, and backend servers in a multi-node web environment. A play can address each set of machines in a cycle, ensuring the configurations of the machines were correct and also updating them to the specified version of software if required.

Multi-machine software deployment is poorly solved by most systems management tools – often due to architectural nature of being pull oriented and having complex ordering systems, they cover configuration but fail at deployment when updating tiers of machines in well defined steps. This results in using two (or more) logically distinct tools and having complex overlap between them.

If you actually do need pull oriented mode, though, Ansible 0.4 and later can run playbooks in pull mode as well. This is useful in extreme scaling scenarios or when automatic system remediation is desired. Since Ansible remains server and daemonless, scaling potential is unlimited, and no resources are wasted on running management daemons.

Deployment and Configuration, Unified

Other deployment (compared to config) oriented frameworks similarly cover deployment well but lack a strongly defined resource model and devolve into glorified remote scripts. Ansible playbooks – having been designed with this problem in mind – are good at both deployment & idempotent configuration, meaning you don’t have to spread your infrastructure management out between different tools (Puppet+Capistrano, Chef+Fabric, etc). Performing ordered steps between different classes of machines is no problem, yet our modules affect system state only when required – while avoiding the problem of fragile scripting that assumes certain starting or ending states.

Ansible is also unique in other ways. Extending ansible does not require programming in any particular language – you can write Ansible Modules as idempotent scripts or programs that return simple JSON. Ansible is also pragmatic, so when you need to, it’s also trivially easy to just execute useful shell commands.

Why use Ansible versus other configuration management tools? (Puppet, Chef, etc?) Ansible will have far less code, it will be (by extension) more correct, and it will be the easiest thing to hack on and use you’ll ever see – regardless of your favorite language of choice. Versus other deployment tools? (Capistrano, Fabric?). Ansible playbooks are easier to use (not being code) and also allows intermixing of idempotent configuration management rules for a higher level of control. Further, it was designed for deploying multi-node applications from the beginning.

Simple & Secure By Default

Compared with most configuration managememnt tools, Ansible is also much more secure. While most configuration management tools use a daemon, running as root with full access to the system, with its own in-house developed PKI infrastructure, Ansible just uses SSH (and supports sudo as necessary). There is no additional attack surface and OpenSSH is one of the most peer reviewed security components out there. If a central server containing your playbooks are comprimised, your nodes are not – which is NOT the case of these other tools, which can, more or less, turn into a botnet. Our security approach is to avoid writing custom crypto code altogether, and rely on the most secure part of the Linux/Unix subsystem that your machines are already using. There is no PKI subsystem to maintain, which can be a frequent source of problems, particularly when reinstalling or migrating hosts.

Systems management doesn’t have to be complicated. Ansible’s docs will remain short & simple, and the source will be blindingly obvious. We’ve learned well from “Infrastructure is Code”. Infrastructure should be easy and powerful to command, but it should not look like code, lest it acquire the disadvantages of a software project – bugs, complexity, and overhead. Infrastructure configurations should be simple, easy to develop, and easy to audit.

Architecture

"Architecture Diagram"

Features

What People Are Saying

“I’ve been trying to grok Chef these last weeks, and really, I don’t get it. I discovered ansible yesterday at noon, successfully ran it at 1pm, made my first playbook by 2pm, and pushed two small [contributions to the project] before the office closed... Do that with any other config management software!”

“Ansible is much more firewall-friendly. I have a number of hosts that are only accessible via reverse SSH tunnels, and let me tell you getting puppet or chef to play nice with that is a nightmare.”

“This software has really changed my life as an network admin, the simplicity ansible comes with is really childs-play and I really adore its design. No more hassle with SSL keys, DNS based ‘server entries’ (e.g. puppet and what not). Just plain (secure!) SSH keys and one is good to go.”

Resources

Your ideas and contributions are welcome. We’re also happy to help you with questions about Ansible.

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Contents

Presented By...

Ansible was created and is run by Michael DeHaan (@laserllama), a Raleigh, NC based software developer and architect, who also created the popular DevOps install server Cobbler. Cobbler is used to deploy mission critical systems all over the planet, in industries ranging from massively multiplayer gaming, core internet infrastructure, finance, chip design, and more. Michael also helped co-author Func, a precursor to Ansible, which is used to orchestrate systems in lots of diverse places. He’s worked on systems software for IBM, Motorola, Red Hat’s Emerging Technologies Group, Puppet Labs, and is now with rPath. Reach Michael by email here.