Microsoft Technology Licensing, LLC

Gilles C J A Zunino

Igor Sedukhin

Amol Kulkarni

Daniel Eshner

Mariusz Gerard Borsa

Haoran Andy Wu

Prasad Sripathi Panditharadhya

Kenneth David Wolf

John Anthony Taylor

Gueorgui Chkodrov

Madhur Joshi

Brad Olenick

Sumit Mohanty

Andrew Birck

Brendyn Alexander

Tom Cox

Michael Josef Krejcik

William Y Moy

Jean-Sebastien Goupil

Timothy Glenn MacNary

Ifeanyi Echeruo

At least some embodiments described herein refer to the user of a rendering interpreter that receives data object(s) from code executing within a restricted environment container (such as an IFrame). The restricted environment container prevents the code from adversely impacting the performance and consistency of the user interface system as a whole, and also prevents the code from adversely impacting the performance of code running in other restricted environment containers.

Rendering interpreter for visualizing data provided from restricted environment container

In one embodiment, a computer system accesses an event associated with an activity, where the activity has been executed by a runtime as part of a software application. The runtime includes a software hook configured to listen for event stream operation indications from the user. The computer system tags the accessed event with an additional portion of identification information that uniquely identifies the executed activity. The computer system receives an event stream operation indication from the user indicating that event transmission for an identified event stream is to be dynamically enabled or disabled and identifies the user-indicated event stream using the tagged identification information. The computer system also dynamically performs the indicated event stream operation on the identified event stream according to the user's indication.

Dynamic event collection and structured storage

The present invention extends to methods, systems, and computer program products for monitoring distributed applications. Declarative application models are used. Operational data for a deployed application can be compared to an application intent expressed in a corresponding declarative application to provide more effective monitoring of application behavior. Application components can subscribe to an event fabric to receive configurations that indicate what events the application is to emit (i.e., publish into the event fabric) for monitoring. Thus, applications essentially subscribe to produce information (as opposed to subscribing to receive information). Monitoring can be dynamically adjusted in response to environment changes.

Monitoring distributed applications

A system for automatically adjusting operation of a distributed application program includes analytics means having a monitoring component. The monitoring component receives one or more event streams of data corresponding to execution of one or more modules of the distributed application program. The monitoring component joins the received event streams with one or more declarative models to create operational data. A forensics component of the analytics means queries, such as by using data from a declarative model store, the operational data to identify trends or behavior information for the various modules or components of the distributed application program. A planner component then reviews data created by the forensics component to identify any needed changes to the declarative models. The planner component passes any modified declarative models back to the system, so that the distributed application program can operate more efficiently using the changes to the declarative models, as needed.

Tuning and optimizing distributed systems with declarative models

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Kirkland, WA, United States of America

Gilles C J A Zunino