Patent ID: 11940894
Assignee: EXPRESS SCRIPTS STRATEGIC DEVELOPMENT, INC.
Field: Digital communication (Electrical engineering)
Classification: CPC G  H | IPC G  H

Claim 13:
14. A method for automated detection of anomalous performance of application infrastructure components, the method comprising:
training at least one machine learning model using measured historical performance metrics of the application infrastructure components, to generate key performance indicators associated with the application infrastructure components, by at least one processor communicatively coupled to a memory device;
generating an element for display in a multi-level application monitoring interface, wherein the element corresponds to a first component of the application infrastructure components, and wherein the element includes a status indicator;
using the at least one machine learning model to generate the key performance indicators for the first component, based on a reporting window time period associated with measured performance metrics and an outlier threshold value;
in response to generating the key performance indicators for the first component, automatically presenting the key performance indicators for the first component using the element including the status indicator, via a display device visible to an operator and communicatively coupled to the at least one processor; and
in response to the key performance indicators indicating a performance anomaly condition for the first component, automatically performing a self-healing operation associated with the key performance indicators, wherein the self-healing operation includes:
(i) automatically modifying operation of the first component, including at least one of:
restarting the first component, and
starting a new instance of the first component, and

(ii) automatically generating a ticket request to monitor the operation of the first component.