Splunk Inc.

Umang Agarwal

Khawar Deen

John Bennett Wundes

Rashmi Kalyani Vasudevan

Akila Balasubramanian

Gergely Danyi

Eric Wohlstadter

Matthew William Pound

Calvin Chan

Viet Quoc Nguyen

Timothy Matthew Robin Williamson

Sally Wahba

Vladimir Sor

Henry Maier

Donald Passey

Taavo-Taur Tammur

Pragati Vyas

Anusha Konatala

Joshua Johnson

Nikhil Kasthurirangan

An observability system is disclosed that provides novel techniques for configuring indexable custom tags. The observability system enables customers and users to specify and create indexable custom tags in a flexible and user-friendly manner. The observability system includes a novel custom tag configuration system that enables users of the observability system to configure indexed custom tags. Using a set of user interfaces (e.g., graphical user interfaces (GUIs)), a user is guided through a workflow for configuring indexed custom tags.

Custom indexed tags

Described herein are techniques for concurrently visualizing real user's session data with a playback of a user's experience during a session. The disclosed techniques can correlate session data collected in response to interactions with an application during a user's session with session recreation data generated by the application and recorded during the user's session. The correlations between the session data and the recreation data can be used to render and control a recreation of the user's experience during the session concurrently with a visualization of the session data.

Concurrent visualization of session data and session playback

A performance monitoring system (PMS) displays a list of example URLs that matched a URL grouping rule used to group URLs. For a rule configured for a customer of the PMS, the example matched URLs are selected by the PMS from a candidate set of URLs identified from data associated with that customer. The PMS receives information identifying a Uniform Resource Locator (URL) grouping rule displayed in a graphical user interface (GUI). The PMS identified a list of candidate URLs occurring in the stored data. The PMS then identifies, from the list of candidate URLs, a set of matched URLs, the set of matched URLs including one or more URLs from the list of candidate URLs that matched the URL grouping rule. The PMS then causes at least one URL from the set of matched URLs to be displayed on the GUI.

Techniques for showing matched URLs for a URL grouping rule

Growing community of inventors

Berkeley, CA, United States of America

Umang Agarwal