Teachers Insurance and Annuity Association of America

Teachers Insurance and Annuity Association

Andrew Eugene Kettering

Scott Matthew Blandford

William Val Arneth, Iii

Gary Robert Couture

Nathaniel John Bates

Thomas Steven Joyce

Latrisha Devon Whitehead

Mathew Wade Pickering

Ethan Luke Michaud

Rafael Pedro Olaso

LeeAnn Marie Flanagan

Jennifer D'awn Jeffress

Elizabeth Anne MacDonald

Matthew Maclean Bechard

Kristopher C Krug

Daniel Joseph Healy, Jr

Omar C Saxton

Scott James Danesi

Kevin M McGill

Eddie Gordon Finch, Jr

Devesh Patel

Ryan Matthew Wiesman

Jakkinpali Murty

Louis Anthony Iannucci

Christopher Joseph Heidenfelder

Troy Christopher Elliott

Zachary Franklin Shelton

Rodney W Bass

Edmund Martin Prout

John R Seidle, Jr

John Knam

Yogesh Dnyandeo Khachane

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.

Identifying failed customer experience in distributed computer systems

Systems and methods for identifying failed customer experience in distributed computer systems. An example method may comprise: receiving, by a processing device of a distributed computer system, a first application layer message associated with a request originated by a client computer system responsive to an action by a user, wherein the first application layer message comprises a transaction identifier identifying a sequence of messages originated by one or more components of the distributed computer system and associated with the request; identifying a pre-defined byte pattern comprised by the first application layer message; and identifying, based on the pre-defined byte pattern, at least one of: a system error associated with the transaction or an application error associated with the transaction.

Systems and methods for presenting application performance monitoring data in distributed computer systems. An example method may comprise: receiving, by a processing device, one or more application performance monitoring (APM) rules, each APM rule determining an application operational status based on one or more APM parameters; receiving APM data comprising a plurality of APM data items representing values of the APM parameters of a software application; determining an operational status of the software application by applying the APM rules to the APM data; and causing the operational status to be visually represented via a graphical user interface (GUI).

Presenting application performance monitoring data in distributed computer systems

Systems and methods for identifying a browser for rendering an electronic document. An example method may comprise: intercepting, by a software component being executed by a computer system within a context of a first browser, a procedure call to open a new browser window for rendering an electronic document; identifying, in view of an identifier of the electronic document, a second browser; and causing the second browser to render the electronic document.

Identifying a browser for rendering an electronic document

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Westford, MA, United States of America

Andrew Eugene Kettering