Invention Grant
- Patent Title: Identifying failed customer experience in distributed computer systems
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Application No.: US16042580Application Date: 2018-07-23
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Publication No.: US10795744B2Publication Date: 2020-10-06
- Inventor: Gary Robert Couture , Mathew Wade Pickering , Ethan Luke Michaud , Andrew Eugene Kettering , Scott Matthew Blandford , Rafael Pedro Olaso , LeeAnn Marie Flanagan , Elizabeth Anne MacDonald , William V. Arneth, III , Ryan Matthew Wiesman , Troy Christopher Elliott , Scott James Danesi , Thomas Steven Joyce , Jennifer D'awn Jeffress , Zachary Franklin Shelton , Eddie Gordon Finch, Jr. , Matthew M. Bechard , Nathaniel J. Bates , Devesh Patel , Jakkinpali Murty , Kristopher C. Krug , Daniel Joseph Healy, Jr. , Omar C. Saxton , Kevin M. McGill , Christopher Joseph Heidenfelder , Louis A. Iannucci , Latrisha Devon Whitehead
- Applicant: Teachers Insurance and Annuity Association of America
- Applicant Address: US NY New York
- Assignee: Teachers Insurance and Annuity Association of America
- Current Assignee: Teachers Insurance and Annuity Association of America
- Current Assignee Address: US NY New York
- Agency: Lowenstein Sandler LLP
- Main IPC: G06F11/00
- IPC: G06F11/00 ; G06F11/07 ; G06F16/00 ; G06F11/34 ; G06F11/30 ; G06F11/08 ; H04L29/08 ; G06F17/40

Abstract:
Systems and methods for identifying failed customer experience in distributed computer systems. An example method comprises: receiving, by an application performance management (APM) server associated with a distributed computer system, an application layer message associated with a request originated by a client computer system responsive to an action by a user; identifying a failed customer experience error by analyzing the application layer message; and causing a first graph to be rendered by a graphical user interface in a visual association with a second graph representing a number of user login events grouped by a pre-defined period of time, wherein the first graph represents a number of identified failed customer experience errors grouped by the pre-defined period of time.
Public/Granted literature
- US20180329771A1 IDENTIFYING FAILED CUSTOMER EXPERIENCE IN DISTRIBUTED COMPUTER SYSTEMS Public/Granted day:2018-11-15
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