ansible-rulebook

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Event driven automation for Ansible.

The real world is full of events that change the state of our software and systems. Our automation needs to be able to react to those events. Introducing ansible-rulebook; a command line tool that allows you to recognize events that you care about and react accordingly by running a playbook or other actions.

Installation

Head over to the Installation page for details on how to install ansible-rulebook. Once installed, continue with the Getting started section below to begin writing your first rulesets.

Getting started

Important: Running ansible-rulebook requires setting the JAVA_HOME environment variable. On Fedora-like systems, this will be:

$ export JAVA_HOME=/usr/lib/jvm/java-17-openjdk

Let’s get started with a simple hello world example to familiarize ourselves with the concepts:

---
- name: Hello Events
  hosts: localhost
  sources:
    - ansible.eda.range:
        limit: 5
  rules:
    - name: Say Hello
      condition: event.i == 1
      action:
        run_playbook:
          name: ansible.eda.hello
...

Events come from a event source and then are checked against rules to determine if an action should be taken. If the condition of a rule matches the event it will run the action for that rule.

In this example the event source is the Python range function. It produces events that count from i=0 to i=<limit>.

When i is equal to 1 the condition for the the Say Hello rule matches and it runs a playbook.

Normally events would come from monitoring and alerting systems or other software. The following is a more complete example that accepts alerts from Alertmanager:

---
- name: Automatic Remediation of a webserver
  hosts: all
  sources:
    - name: listen for alerts
      ansible.eda.alertmanager:
        host: 0.0.0.0
        port: 8000
  rules:
    - name: restart web server
      condition: event.alert.labels.job == "fastapi" and event.alert.status == "firing"
      action:
        run_playbook:
          name: ansible.eda.start_app
...

This example sets up a webhook to receive events from alertmanager and then matches events where the fastapi job alert has a staus of firing. This runs a playbook that will remediate the issue.

Features

  • Connect to event streams and handle events in near real time.

  • Conditionally launch playbooks based on rules that match events in event streams.

  • Store facts about the world from data in events

  • Limit the hosts where playbooks run based on event data

  • Run smaller jobs that run more quickly by limiting the hosts where playbooks run based on event data

Examples

Rules are organized into rulesets using a syntax that is similar to ansible-playbooks:

---
- name: Hello Events
  hosts: localhost
  sources:
    - ansible.eda.range:
        limit: 5
  rules:
    - name: Say Hello
      condition: event.i == 1
      action:
        run_playbook:
          name: ansible.eda.hello
...

Each ruleset defines: a set of hosts to pass to the playbook, a set of event sources, and a set of rules. The set of hosts is the normal hosts pattern from ansible playbooks. The event sources are a new type of plugin that subscribe to events from event streams. The rules have conditions that match values in the events and actions that can run playbooks, assert facts, retract facts, and print information to the console.

Let’s look closer at the event source:

- ansible.eda.range:
    limit: 5

This section of YAML defines that an event source plugin from the ansible.eda should be loaded and given the arguments: limit=5. This source will generate a range of numbers from zero to 4 and then exit.

The rules YAML structure looks like the following:

- name: Say Hello
  condition: event.i == 1
  action:
    run_playbook:
      name: ansible.eda.hello

This block of YAML defines a rule with name “Say Hello”, a condition that matches when an event has an value “i” that is equal to 1, and an action that runs a playbook inside the collection ansible.eda.

For more information on usage and examples, please refer to the Usage guide.

Credits

This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.