Zscaler, Inc.

Sandeep Kamath Voderbet

Srikanth Devarajan

Chakkaravarthy Periyasamy Balaiah

Chenglong Zheng

Amit Sinha

Vikas Mahajan

Sushil Pangeni

Pratap Ramachandra

Khaireddine Mazboudi

Sanjit Ganguli

Amber Wu

Systems and methods for implemented by a user device for Real User Monitoring (RUM) include operating an add on for a web browser; receiving a list of domains or Uniform Resource Locators (URLs) to calculate RUM data thereon; responsive to the web browser accessing any of the domains or URLs in the list, calculating and storing RUM data; and periodically sending the stored RUM data to a cloud-based system. The RUM data can include statistics, metrics, and errors that are detected based on any of start of navigation, redirects, Domain Name System (DBS), connection establishment and teardown, Hypertext Transfer Protocol (HTTP) request and response start and end, Document Object Model (DOM) load time, page load time, and Java Script and AJAX error detection.

Real user monitoring statistics from end users

Techniques for deep tracing of one or more users via a cloud-based system include receiving a request from an administrator to actively troubleshoot a user; causing a user device associated with the user to create a deep tracing session based on the request; assisting the user device in performing one or more traces of a plurality of traces to a destination; receiving results from any of the plurality of traces and results from metrics collected at the user device; and displaying a network map between the user device and the destination.

Deep tracing of user experience

Techniques for using web probes for monitoring user experience including use of caching to prevent a surge of web probes on destination servers and for detecting web probe traffic through a proxy including where the traffic is encrypted. A method implemented by a proxy includes receiving a response to a first web probe to a destination server; caching data associated with the response to the first web probe in a cache; receiving a request for a second web probe to the destination server; and serving a response to the second web probe utilizing the data in the cache in lieu of forwarding the second web probe to the destination server.

Cached web probes for monitoring user experience

Techniques for using traceroute with tunnels and cloud-based systems for determining measures of network performance are presented. Systems and methods include periodically performing a full trace, at a first interval, to a destination; periodically performing a short trace, at a second interval that is less than the first interval, to a node in a cloud-based system; responsive to detection of issues based on the short trace, performing a full trace to the destination; and providing results of any of the full trace, the short trace, and any associated issues detected based thereon.

Proactively detecting failure points in a network

Growing community of inventors

Sunnyvale, CA, United States of America

Sandeep Kamath Voderbet