Roboconf Plug-ins

Roboconf agents use plug-ins to manage the life cycle of instances.
As a reminder, Roboconf agents are deployed either on VMs, or on devices. In any case, they are supposed to be deployed remotely with respect to the DM.

An instance represents a concrete Software component, that will interact with other components deployed with Roboconf.

The life cycle of an instance is composed of the following phases:

Notice than independently of this life cycle, the instance is still in the model.
When an instance is registered in the model but that it is not running or even deployed, it is marked as not deployed. Therefore, you can have pre-defined instances in your application even if they are not running or deployed.

A Roboconf plug-in handles the complete life cycle of an instance.
It means a plug-in implements all the life cycle steps.

From a concrete point of view, configuring Roboconf plug-ins is what will take most of the time. Writing the Roboconf model (application description, graph definition and initial instances) is fairly easy and is achieved quickly. But every plug-in required resources. These resources are located into the directory associated with a graph component.

As an example, let’s assume you have the following component.


Apache_Load_Balancer {
	alias: An Apache load Balancer;
	installer: puppet;
}

This implies there will be a directory called Apache_Load_Balancer which will contain at least one Puppet module. The fact it is a Puppet modules is due to the Puppet installer. If we had used the Bash plug-in, the directory would contain bash scripts. What files are expected depend on the plug-in itself.

Basically, plug-ins are the way Roboconf can be extended.
Thus, it is possible to write its own plug-ins to integrate and share a given behavior.