AppDynamics and new relic defined the new era of software APM which now industrial giants like GE, Siemens etc are trying to replicate for machines. The analogy and architecture are similar though the nuts and bolts are different.
AppD got the visibility it needed by the acquisition even though even before that it was still filling the space up pretty well.
The tenants are the same. Have a mech to catch the various param values on a time scale similar to heart beats of a patient. Put those through a algorithm running on some machine learning system or simple formula processor or complicated series of analytical and physical models. Then take action on the answers.
You might be happy - it's fine but can be improved
You might be concerned - something just went south
Alarmed - the server running hot or that gas turbines combustion is running too rich.
The same APM if deployed in dev and preproduction env can be used with more param readings and readings of more resolution to drill down to the issue and solve it. Many times it mandates architecture or design changes.
But the end to end visibility and ability and flexibiity to act with focus is what makes it interesting and effective. It pivots from being art to being science.
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