Cognitively triggering recovery actions during a component disruption in a production environment

A computing system, comprising:

• a processor;
• a memory device coupled to the processor;
• and
• a computer readable storage device coupled to the processor, wherein the storage device contains program code executable by the processor via the memory device to implement a method for triggering a recovery action during a component disruption in a production environment, the method comprising:
• receiving, by the processor, data inputs from a plurality of components comprising the production environment;
• detecting, by the processor, an abnormality associated with a component of the plurality of components by analyzing the data inputs, and in response to the detecting the abnormality, triggering an analysis of the abnormality;
• analyzing, by the processor, the abnormality using a plurality of artificial intelligence engines to determine a plurality of outcomes from each artificial engine;
• consolidating, by the processor, the plurality of outcomes into a single outcome, the single outcome being input into an annotator engine to determine the recovery action to take during the component disruption in the production environment;
• and
• implementing, by the processor, the recovery action specific to the component with the detected abnormality.

A computer program product, comprising a computer readable hardware storage device storing a computer readable program code, the computer readable program code comprising an algorithm that when executed by a computer processor of a computing system implements a method for triggering a recovery action during a component disruption in a production environment, the method comprising:

• receiving, by the processor, data inputs from a plurality of components comprising the production environment;
• detecting, by the processor, an abnormality associated with a component of the plurality of components by analyzing the data inputs, and in response to the detecting the abnormality, triggering an analysis of the abnormality;
• analyzing, by the processor, the abnormality using a plurality of artificial intelligence engines to determine a plurality of outcomes from each artificial engine;
• consolidating, by the processor, the plurality of outcomes into a single outcome, the single outcome being input into an annotator engine to determine the recovery action to take during the component disruption in the production environment;
• and
• implementing, by the processor, the recovery action specific to the component with the detected abnormality.