(3 minute read)
Project renamed from Ansibot to Ansijet, to avoid confusion with Github's Ansibot
I have just released Ansijet, an Ansible playbook automation server. This server exposes a REST API which allows you to automatically trigger Ansible playbooks based on other events within your system. For my purposes I use it to automatically re-deploy to my servers when a successful build completes (I blogged about this previously).
Ansijet is built in Node.js using the Waigo web framework. It runs as web service, exposing both a normal web interface and a REST API. When setting it up you have to have your playbooks already available on the local file system - you then point Ansijet to the relevant folder. At runtime it scans your playbooks folder and saves the metadata into storage (MongoDB). You can then setup on or more triggers against a playbook. A trigger exposes a URL which you can then call to run the playbook.
There are at present two types of triggers supported:
Simple - This trigger type creates triggers which simply run the playbook with no additional checks.
Shippable - This trigger type creates triggers which expect to be invoked from shippable.com CI builds. You can supply a project id and a Git branch for which the playbook should run. It makes available the build number, branch name and project id as variables to your Ansible playbook. Once Shippable build artefacts are externally accessible it will also be able to check for their existence and then pass the artefacts URL as another variable to Ansible.
Ansijet runs each playbook in a separate shell process, which means it can run multiple playbooks in parallel when needed, though it is still smart enough to ensure that only instance of any given playbook is running at a time. The default parallelism level is 1 (i.e. no parallelism) but this can be changed in the configuration options.
Sometimes a playbook run may freeze - to prevent a run from never completing, Ansijet will auto-kill the shell process if no output has been received for more than 5 minutes (this time window is configurable).
Each invocation of a trigger is treated as a separate job. In the logs section you can drill down to view just the logs for a particular job.
All logs from jobs are captured. If the incoming trigger invocation is malformed or incorrect parameters are supplied then this is also logged. In short, you always know why or how a particular job has failed.
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I'm already using Ansijet successfully in production. I hope you find it useful too. And all contributions (pull requests, feature requests, bug reports, etc.) are welcome.
Find Ansijet at: