Taking a Look inside aAE (arago Automation Engine)
Automation, Automation Technology Deep Insight No Comments »Time and again people ask me, what they see, after implementing an automation engine. My answer usually was “well nothing really, you will see that your applications have a better uptime…”, but obviously that is not what people want to hear. The whole idea of an automation engine is, that things happen in the background and no one has to sit in front of some console watching lights turn red.
Still people want to see what is going on. And as automation is a matter of trust – the trust of system administrators and managers, that such an engine will improve IT service instead of messing it up – it probably is a good idea to enable a peek under the hood of the machine. Actually as we are using a graph algorithm approach to finding the automatic steps to be taken in order to resolve a problem, it sounds like we should show a graph of the whole thing.
So that is just what we have done. In the screenshot attached you see the prototype of “aAE Visualizer”. This JAVA Application actually displays the IT model and the issues and events travelling the model. On the model Graph it is possible to see where issues are created and how they travel the engine in order to find actions to take. But this visualization application is not just a pretty way to let interested people “look at what is happening” in our automation engine; it also allows to locate hotspots in an automated IT landscapes easily. Hotspots always indicate a challenge. Either a hot spot is an error in the model – a place where problems travel in circles without finding any resolution – or a hot spot is an actual bottle neck in the IT infrastructure that is not visible from a capacity management point of view.
So I am very happy to announce, that this visualization application will not only make my job of explaining how “automation works” easier, but will also allow our administrators to locate model problems or IT landscape problems with much less effort than before.

