Microsoft Technology Licensing, LLC

Anand Lakshminarayanan

Vitaly Voloshin

Ashvinkumar J Sanghvi

Galen Clyde Hunt

Robert Victor Welland

Bassam Tabbara

Aamer Hydrie

Geoffrey Hugh Outhred

Anders Bertil Vinberg

Vij Rajarajan

Rob M Mensching

Kevin Grealish

Travis Austin Wright

Ferit Findik

Shawn Bice

Marisol Ontaneda

Hakan Berk

Abbot Moffat

Robert M Fries

Rene Antonio Vega

Vadim Eydelman

Raymond W McCollum

Bimal Kumar Mehta

John M Parchem

David C James

Efstathios Papaefstathiou

Neeraj Garg

Michael Joseph Healy

Bruce Wayne Copeland

Deepak Rao

John H Wilson

Mazhar Naveed Mohammed

Jonathan C Hardwick

Eric Joseph Winner

Lorenzo Rizzi

Rajagopalan Badri Narayanan

Jeffrey A Woolsey

Edwin R Lassettre

Vitaly V Filimonov

Kevin D J Grealish

Zhengkai Kenneth Pan

Girija Bhagavatula

Stephen O Wilson

Chandika Bhandari

Aidan Downes

Chandika Bandari

Rahul Thatte

Travis A Wright

A centralized service communicatively links an application provider to a plurality of different message forwarding services. The centralized service receives a request and authenticates the application provider associated with the request. Further, the centralized service delivers a message embodied by the request to a first message forwarding service with a first protocol and/or to a second message forwarding service with a second protocol different than the first protocol.

Centralized service for distributed service deployments

Described are systems and methods for instrumenting configuration and system settings based on targeting configuration settings at dynamically populated groups, groups with varied membership, and objects defined in a class. The systems and methods provide for attributing a configuration setting or policy to one or more objects and then targeting the object at one or more scopes.

Instrumenting configuration and system settings

Model-based system monitoring includes accessing a model of a system that includes multiple components and executing a monitoring policy to monitor performance of the system. A notification of a problem is received from a first component. A determination is made regarding the cause of the problem. The determination is made, at least in part, based on the model of the system. At least one component associated with the cause of the problem is then identified.

Model-based system monitoring

Described are systems and methods for instrumenting configuration and system settings based on targeting configuration settings at dynamically populated groups, groups with varied membership, and objects defined in a class. The systems and methods provide for attributing a configuration setting or policy to one or more objects and then targeting the object at one or more scope.

One embodiment of the invention uses templates that define certain features of a given service type, wherein the features are common to all services of that service type. The template can be configured by a user to obtain a service definition for the given service. The service definition is passed to a programmability layer and provides enough information that the programmability layer can construct the various monitors, rules, classes and tasks required to monitor the given service without further customization by the user. In one embodiment, the user can also customize the service definition, a desired, in order to obtain additional monitoring.

Template based management system

Model-based system monitoring includes identifying multiple monitors configured to monitor multiple components in a system, and accessing multiple health models associated with the multiple monitors. A monitoring policy is generated to monitor the system. The monitoring policy is derived, at least in part, from the multiple health models.

Model-based system monitoring includes accessing a model of a system that includes multiple components and identifying relationships among the multiple components based on the model of the system. A proposed change to at least one of the multiple components is identified. A determination is made regarding an expected impact on the system caused by the proposed change. This determination is made, at least in part, based on the model of the system.

In accordance with certain aspects of the model-based policy application, each of a plurality of policies is associated with appropriate parts of a model of a heterogeneous system. A deployment agent is invoked to apply each of the plurality of policies to components associated with the parts of the model. An identification of a change to one of the plurality of policies is received, and the deployment agent is also invoked to apply the changed policy to selected ones of the components associated with the parts of the model.

Model-based policy application

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Redmond, WA, United States of America

Anand Lakshminarayanan