US 12,405,850 B1
Systems, methods, and media for proactive analysis of a computer environment to prevent disruption in services
David Chambers, Farmersville, TX (US); Sivakumar Bojan, Bangalore (IN); Saravanan Baskaran, Haslet, TX (US); Gregory O'Hearn, Flower Mound, TX (US); Surjith Kulangaroth, Kerala (IN); Nagendar Pagidimarri, Haslet, TX (US); and Mahesh Kumar Padhmanabhan, Bangalore (IN)
Assigned to FMR LLC, Boston, MA (US)
Filed by FMR LLC, Boston, MA (US)
Filed on Mar. 4, 2024, as Appl. No. 18/594,538.
Int. Cl. G06F 11/07 (2006.01); G06F 11/00 (2006.01)
CPC G06F 11/0793 (2013.01) [G06F 11/008 (2013.01); G06F 11/0766 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A computer implemented method for amplified proactive analysis of an enterprise computer environment, the method comprising:
obtaining one or more alerts, wherein each alert provides an indication of at least one of input or output workloads at one or more computer resources of the enterprise computer environment;
generating, for each of the one or more alerts, a risk score based on a risk algorithm, wherein the risk score provides an indication regarding a potential future disruption in services for the one or more computer resources;
determining that a particular risk score corresponding to a particular identified alert meets a predefined criterion;
identifying, from one or more data structures, a server identifier for a server corresponding to the particular identified alert;
identifying, from the one or more data structures, a service process executed in a timeframe that is based on a timestamp of the particular identified alert, wherein the one or more data structures indicate that the service process has a greatest utilization for a particular computer resource of the one or more computer resources;
identifying, from the one or more data structures, a resource identifier of the particular computer resource;
generating a connection instruction for the particular computer resource using at least the server identifier and the resource identifier;
executing, using the connection instruction, one or more query scripts at the particular computer resource to generate one or more script outputs; and
determining, automatically and based on the one or more script outputs, a remediation for the particular computer resource, wherein the remediation is one of a plurality of different available remediations, and wherein the remediation is implemented to proactively prevent disruption in services at the one or more computer resources.