Akamai Technologies, Inc.

Soasta, Inc.

Condati, Inc.

Daniel J Bartow

Kenneth C Gardner

Tal Broda

Kendall Cosby

Michael Hemmert

Darrell Esau

Cliff Crocker

Wilson Stockman

Craig R Powers

Benjamin D Polovick

Scott Willey

Ben Bubenheim

Matthew Koken

George Michael Innes

Christen Nguyen

Tejas Rao

Ed Salazar

Iris Lieuw

Olivia Hsieh

Phillip North

A computer-implemented method includes providing a graphical user interface (GUI) that allows a user working in a notebook computing system environment to generate a source notebook that includes a plurality of cells, each containing code, for the one or more visualizations each including a chart. The GUI allows the user to run the cells before creating the marketing analytic dashboard. The code used to generate the one or more visualizations into a custom dataframe is strung together into a custom dataframe, which is then paired with chart properties. Processing the pairs in an engine creates a preview of each visualization of the dashboard using campaign data of the customer. The marketing analytic dashboard is made available to the customer through a customer-facing marketing analytics application which performs the same processing as the engine to create visualizations on the dashboard using updated campaign data of the customer.

System and method for creation of marketing analytic dashboards

A computer-implemented method for creation of a test plan for load testing a website includes receiving a set of input parameters, which includes a specified time period range. Beacon data of real user sessions on the website that fall within the specified time period range is retrieved from a data storage repository. A set of peak traffic time periods, which includes a peak day, a peak hour, a peak minute, and a peak second, is identified. User session statistics are calculated for the peak day, the user session statistics including median session duration, session length, and think times. A page group distribution table is generated that includes a list of all page groups and page group hit percentages, relative to all other page groups, for the real user sessions during the peak hour. A set of test scenario paths representative of the page group distribution table is then generated.

System and method for automated creation of a load test plan

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

Display screen or portion thereof with graphical user interface

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

Growing community of inventors

San Diego, CA, United States of America

Daniel J Bartow