Teachers Insurance and Annuity Association of America

Teacher Insurance & Annuity Association of America

Nathaniel John Bates

Scott Matthew Blandford

Gary Robert Couture

William Val Arneth, Iii

Thomas Steven Joyce

Latrisha Devon Whitehead

Mathew Wade Pickering

Ethan Luke Michaud

Jennifer D'awn Jeffress

LeeAnn Marie Flanagan

Elizabeth Anne MacDonald

Louis Anthony Iannucci

Rafael Pedro Olaso

Matthew Maclean Bechard

Christopher Joseph Heidenfelder

Andrew Eugene Kettering

Jakkinpali Murty

Ryan Matthew Wiesman

Kristopher C Krug

Daniel Joseph Healy, Jr

Omar C Saxton

Scott James Danesi

Kevin M McGill

Eddie Gordon Finch, Jr

Devesh Patel

Janusz M Juda

Troy Christopher Elliott

Stanislav Antons

Weston John Gaddis

Thomas Fredrick Krall

Thomas J Goodnough

Zachary Franklin Shelton

Byron Leslie Griffin

Andrea J Vient

James Ronald Hixon

Edmund Martin Prout

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 visual presentation of metrics reflecting lifecycle events of software artifacts. An example method may comprise: receiving one or more data processing rules, each data processing rule specifying one or more operations to be performed on one or more raw data items reflecting lifecycle events associated with a software artifact; receiving, from one or more data collection agents, a plurality of raw data items; producing, by applying the data processing rules to the plurality of raw data items, a plurality of values of a metric reflecting lifecycle events associated with a plurality of software artifacts; and causing the values to be graphically represented using a graphical user interface (GUI) communicatively coupled to the processor.

Visual presentation of metrics reflecting lifecycle events of software artifacts

Systems and methods for collecting client-side application performance monitoring (APM) information in distributed computer systems. An example method may comprise: inserting a script code fragment into an electronic document to be transmitted to a client computing device, wherein the script code fragment is to issue a request for loading an object from a second computer system, the request comprising at least one of: a parameter of a client browser executed by the client computing device, a parameter of an application being executed within the client browser, or a parameter of a current session of the client browser; and transmitting the electronic document to at least one of: the second computer system or the client computing device.

Collecting client-side application performance monitoring information

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 visualization of performance parameters of distributed computer systems. An example method may comprise: receiving data representing a geographic location of a client computer system issuing a plurality of requests to a server computer system, the data further comprising a plurality of values representing one or more parameters of request processing by the server computer system; and generating a sequence of video frames, each video frame of the sequence of video frames comprising a visual element of a pre-defined shape overlaid over a geographic map in a position corresponding to the geographic location of the client computer system, wherein a pre-defined attribute of the visual element visually represents one or more values of the plurality of values.

Visualization of performance parameters of distributed computer systems

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Portsmouth, NH, United States of America

Nathaniel John Bates