Soasta, Inc.

Oracle International Corporation

Akamai Technologies, Inc.

Kendall Cosby

Kenneth C Gardner

Tal Broda

Michael Hemmert

Tana Christine Jackson

Craig R Powers

Charles A Vazac

Matthew Solnit

Darrell Esau

Daniel J Bartow

Robert Charles Holcomb

Wilson Stockman

Ben Bubenheim

Cliff Crocker

Tim J Beauchamp

Mukul Sharma

Tim B Beauchamp

Ed Salazar

Matt Solnit

A method includes providing a graphical user interface (GUI) that allows a user to dynamically change virtual user (VU) distributions of a load test performed on a target website or web application during test run-time. The GUI allowing the user to make a change to a current ramp profile of one or more VU distributions responsive to application of first user input. The first input including dragging an icon to a position in a first graph, the position denoting a future number of VUs at a future time. Following application of the first input, the change to the current ramp profile is visually displayed on a second graph in real-time as the load test progresses.

Virtual user ramp controller for load test analytic dashboard

A method includes providing a graphical user interface (GUI) that displays a view of the globe as from outer space. The view including a geographic distribution of beacons having one or more visual attributes. Each beacon corresponds to one or more real users who are accessing a website, web application or mobile app from a geographic location. The visual attributes include an indicator of a performance metric representative of an experience of the one or more real users of the website, web application, or mobile app. Each beacon is generated in real-time from aggregated data obtained in real-time from one or more corresponding real user sessions on the website, web application or mobile app. The beacons are periodically refreshed with the visual attributes changing in response to measured changes in the geographic distribution, a total number of real users at the location, or the performance indicator at the location.

Animated globe showing real-time web user performance measurements

A computer-implemented method includes scanning a clip of messages that includes message requests and message responses arranged in a sequence. The scanning is performed based on one or more search parameters and produces a list of one or more name/value pairs. The clip is utilized to perform a load test on a target website. Each name/value pair has a corresponding value. For each name/value pair in the list a message request in the clip is identified where the corresponding value is first used. Then, looking backwards in the sequence from the message request where the corresponding value is first used, prior message responses are located where the corresponding value is found. An extraction point is specified in the clip for the corresponding value as a latest message response in the sequence where the corresponding value was returned from the target website. The corresponding value is then stored as a property.

Session template packages for automated load testing

A method for real-time capture of analytics from real users of a native mobile application (app) includes storing a custom metric/timer definition for a native mobile application (app) in a configuration file on a server. The custom metric/timer definition includes one or more identifiers of an element or object of the native mobile app selected by touch gesture input via a user interface on a mobile device running the native mobile app in a special mode. The configuration file is downloaded from the server to real users running the native mobile app on associated mobile devices. Immediately thereafter, one or more collector servers receive data beaconed in real-time from the associated mobile devices of the real users. The beaconed data includes custom metric/timer data obtained from the custom metric/timer definition.

Cloud-based custom metric/timer definitions and real-time analytics of mobile applications

A processor-implemented method includes providing an analytic dashboard with a graphical user interface (GUI) that outputs aggregated results streaming in real-time of a load test performed on a target website. Responsive to input of a user on the GUI, the input comprising selection of a source chart and a target chart, a single chart is automatically generated that represents either a combination or a statistical correlation of the source and target charts. The single chart has a left y-axis and an x-axis. The combination or the statistical correlation of the single chart changing in real-time as the load test progresses. A visual representation of the single chart is then produced on the analytic dashboard.

Analytic dashboard with user interface for producing a single chart statistical correlation from source and target charts during a load test

A method of optimizing a set of elements on a device display. The method includes positioning the set of elements on the device display, where the set of elements includes a first set of spatial indicia, and the device display further includes a first set of device characteristics. The method also includes generating a first set of workspace configuration indicia based, in part, on the first set of spatial indicia and the first set of device characteristics; and, if desired, re-positioning the set of elements on the device display, where the set of elements includes a second set of spatial indicia, and wherein the device display further includes a second set of device characteristics. The method further includes generating a second set of workspace configuration indicia based in part, on the second set of spatial indicia and the second set of device characteristics; wherein if the device display comprises the first set of device characteristics, positioning the set of elements according to the first set of workspace configuration indicia; else if, the display comprises the second set of device characteristics, positioning the set of elements according to the second set of workspace configuration indicia; else, positioning the set of elements according to a set of default workspace configuration indicia.

Application-specific personalization for data display

An automated method for provisioning a grid used to run a load test on a target website includes sending one or more requests in a multi-threaded manner to at least one cloud provider, the one or more requests for an allocation of N load server instances and M result server instances which comprise the grid. Requests received back from the cloud provider are also handled in a multi-threaded manner; any errors occurring during the allocation being corrected automatically. The N load server instances and the M result server instances are then verified to be operational and correctly running software deployed to provide defined test services. Errors identified during the verification are automatically corrected either by attempting to restart a failed instance or allocating a different instance.

System and method for provisioning and running a cross-cloud test grid

In one embodiment, a graphical user interface ('GUI') enables the efficient composition and execution of a test of a message-based application, Web application, or SOA systems' capacity to receive, process and respond to message traffic. The GUI may be used to generate a test composition by dragging and dropping message clips onto one or more tracks. Each clip includes one or more message, with each track being organized into one or more bands. Each track and each band may run contemporaneously to send messages to a target device or application. It is emphasized that this abstract is provided to comply with the rules requiring an abstract that will allow a searcher or other reader to quickly ascertain the subject matter of the technical disclosure.

Growing community of inventors

Aurora, CO, United States of America

Kendall Cosby