Splunk Inc.

Hewlett-packard Development Company, L.P.

William Matthew Hoffman

Khawar Deen

Caleb Sima

Raymond Kelly

Seerut Sidhu

Nicholas Owen Pierson

Aditya Bhandari

Harnit Singh

Techniques, which may be embodied herein as systems, computing devices, methods, algorithms, software, code, computer readable media, or the like, are described herein for comparing a set of metrics generated during a simulated user interaction with a website to metrics generated by observing real user interactions with the website. Simulated user interactions with a website can be used to diagnose a website's performance issues, but it can be difficult to determine whether the simulated interactions reflect the experience of real users. In addition, the simulated user interactions can be challenging to contextualize because the number of observed real user interactions may significantly outnumber the simulated interactions. A graphical user interface can help with the interpretation of these website interactions by using the real user interactions to properly contextualize the simulated results.

Techniques for visualizing browser test metrics

A method for identifying and indicating resource access faults associated with a webpage. The method includes receiving a machine-readable file that includes a plurality of instructions defining at least content and structure of a webpage. The method further comprises causing a browser to load the webpage based at least in part on the machine-readable file; determining resource utilization associated with the load of the webpage; identifying one or more resource access faults associated with the machine-readable file based at least in part on the determined resource utilization and a resource access instruction policy; for each of the one or more resource access faults, identifying an instruction of the plurality of instructions that corresponds to the particular resource access fault; and causing display of the one or more instructions.

System and method for identifying resource access faults based on webpage assessment

A method for improving loading time of network results associated with cache misses at a server. The method can include requesting content associated with a webserver; receiving responses from the server; identifying a particular response that includes a cache miss indicator in a header portion of a network message; determining whether the content of the particular response is dynamically generated content or static content; and/or causing display of the cache miss indicator based on a determination that the content is dynamically generated content.

System and method for identifying cache miss in backend application

Identifying of dynamic content in HTTP responses includes comparing responses to HTTP requests, identifying portions of the responses that are different as dynamic content, and creating a template that designates the dynamic content.

Method and system for identifying dynamic content in hypertext transfer protocol (HTTP) responses

A web application is more efficiently analyzed by intelligently generating attack sequences to be used in the assessment. Rather than simply sending a canned list of static strings at a web application, the operation of the web application is analyzed to determine the filtering and acceptance characteristics of the web site. As this information is ascertained, a vocabulary of allowed symbols is created. This vocabulary is used in the building of attack strings and as such, the number of attack strings fired at the web application is greatly reduced, as well as the number of false positives.

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Atlanta, GA, United States of America

William Matthew Hoffman