Splunk Inc.

Cisco Technology, Inc.

Appdynamics, Inc.

Michael Margulis

Tristan Antonio Fletcher

Sanjay Nagaraj

Eric Nathaniel Tschetter

Ross Andrew Lazerowitz

William Marcum

Amy Katherine Hunnel Bianchi

Alexandros Nikolaos Kompotis

Caleb Eugene Hanson

Dipti Prabhakar Siddamsettiwar

Daniel Blake Partain

Sean David McBride

Daniel M Jones

Ryan Ericson

Subramaniam Baskaran

Pankaj Kumar

Omprakaash Thoppai

David Roth

Amod Gupta

Joel Schoenberg

Syam Bollu

Junyu Wang

Ian Edward Torbett

Bixia Yan

David Michael Scott

Vinay Sheshadri

Alexander Fedotyev

Bryan Browne Allen

An example method of implementing a layered feature set management model by a service monitoring system includes: monitoring a feature set configuration associated with a specified application instance; setting, based on the feature set configuration, a feature set level transition marker associated with the specified application instance; identifying, based on a current feature set level associated with the specified application instance and the feature set level transition marker, a new feature set level associated with the specified application instance; identifying a new feature set corresponding to the new feature set level and one or more roles associated with a specified user; and configuring a graphical user interface (GUI) enabling the new feature set for the specified user of the specified application instance.

Layered feature set levels in service monitoring system

Described are techniques for accelerating streaming analytics jobs, which may be used for generating dashboards. The disclosed techniques can reduce overhead, such as in the form of processor usage, network usage, or the like, due to duplicative or overlapping requests for streaming analytics data by implementing a caching process in which analytics data is evaluated to determine if it is likely to be requested multiple times or by multiple users, caching the analytics data, and serving future requests for the same analytics data from the cache instead of requiring separate analytics jobs for each request.

Navigator performance optimization and signalflow query acceleration

A computer implemented method includes establishing, by a data intake and query system, a network connection between the data intake and query system and an application and infrastructure monitoring platform. The data intake and query system receives a data stream from the application and infrastructure monitoring platform. The computer implemented method further includes transforming the data stream while receiving the data stream to obtain a transformed data stream. Further, the transformed data stream is analyzed while receiving the data stream to generate analysis results, which are presented.

Monitoring platform job integration in computer analytics system

An application executing on a mobile computing platform provides independent data channels over a mobile network to multiple separate computing systems that each maintain some data pertinent to problem determination and resolution when an incident arises in a monitored information technology (IT) environment. The application maintains and separately exercises the channels to provide timely information in a user interface that composites data to present a single interface with a multi-sourced contextual rendering. Some systems may include an IT monitoring system and a separate incident management system among its sources. Channels may include extended functionality to improve security or other aspects of communication with mobile platforms.

Composite display of multi-sourced IT incident related information

Integration in computer analytics system

Multi-source incident management and monitoring system

Mobile device composite interface for dual-sourced incident management and monitoring system

Dual-sourced incident management and monitoring system

A system for naming a process being monitored that handles a requesting a framework such as a .NET framework. The process may be implemented by a .NET application framework within an IIS web server. The naming system allows for user readable names which are more than just numbers or indexes. The naming system is configured from a single location rather than from multiple locations, making it much easier to configure, change and update.

Naming of nodes in NET framework

A dynamic monitoring process begins with configuring a start and end method to be monitored. The dynamic monitoring process may intercept both the start and end methods as and when the loader is initiated or at runtime to dynamically attach and detach the instrumentation. A loader may then be modified to call a library method upon detection of the start method. The library method may serve as a notification to the start of the method and causes a reflector to retrieve information from the incoming request. The incoming information may include data from which a business transaction name may be determined. The business transaction name is then associated with the monitoring of the particular request. When an exit call is detected, a call may be made to the library for a method which invokes a decorator. The decorator may insert business transaction name and other data into the outgoing call.

Monitoring and correlating a binary process in a distributed business transaction

A system monitors asynchronous transactions over a different number of threads by capturing data and tracking transitions in the particular framework. Once an asynchronous method is called, the transition framework may be tracked while executing a asynchronous method call. Within a .NET framework, monitoring may include tracking a task object return, continuation method calls at the completion of a method, and tracking the continuation method as it executes other code. The asynchronous method may then be correlated within a business transaction using the returned task object data.

Agent asynchronous transaction monitor

Naming of nodes in net framework

Growing community of inventors

Danville, CA, United States of America

Michael Margulis