System and method for generating predictions of protracted outages of software applications and computing systems

A method, comprising:

• accessing software application performance data, wherein the software application performance data is associated with an operational performance of a software application;
• preprocessing the software application performance data, wherein preprocessing the software application performance data comprises normalizing disparate key performance indicator (KPI) data indicative of the operational performance of the software application;
• training an artificial-intelligence algorithm based at least in part on a training data set of publicly-available software application performance data associated with at least a first protracted outage of a software application and a training data set of proprietary software application performance data associated with at least a second protracted outage of a software application;
• executing, based at least in part on the preprocessed software application performance data, and, in response to the training of the artificial-intelligence algorithm, an artificial-intelligence model to generate a prediction of an impending outage for the software application, wherein the prediction of the impending outage comprises a prediction of a potentially protracted outage of the software application;
• outputting, by the artificial-intelligence model, the prediction of the impending outage for the software application;
• and
• causing a computing device to display a visual representation of the outputted prediction of the impending outage for the software application;
• and
• in response to receiving one or more user inputs, causing a remediation of the software application to be executed to preempt the potentially protracted outage of the software application.

A non-transitory computer-readable medium storing instructions that, when executed by one or more processors, cause the one or more processors to:

• access software application performance data, wherein the software application performance data is associated with an operational performance of a software application;
• preprocess the software application performance data, wherein preprocessing the software application performance data comprises normalizing a disparate key performance indicator (KPI) data indicative of the operational performance of the software application;
• train an artificial-intelligence algorithm based at least in part on a training data set of publicly-available software application performance data associated with at least a first protracted outage of a software application and a training data set of proprietary software application performance data associated with at least a second protracted outage of a software application;
• execute, based at least in part on the preprocessed software application performance data, and, in response to the training of the artificial-intelligence algorithm, an artificial-intelligence model to generate a prediction of an impending outage for the software application, wherein the prediction of the impending outage comprises a prediction of a potentially protracted outage of the software application;
• output, by the artificial-intelligence model, the prediction of the impending outage for the software application;
• cause a computing device to display a visual representation of the outputted prediction of the impending outage for the software application;
• and
• in response to receiving one or more user inputs, cause a remediation of the software application to be executed to preempt the potentially protracted outage of the software application.