Microsoft Technology Licensing, LLC

David C James

Michael Joseph Healy

Brad R Anderson

Rajagopalan Badri Narayanan

Brett Damon Alan Flegg

Bruce Wayne Copeland

Gaurav Raghu Dhawan

Leyu Feng

Zhengkai Kenneth Pan

Marc Shepard

Khuzaima Iqbal

Huajun Luo

Jason Robert Githens

Deepak Kumar

Yue Chen

Jun Wang

Dustin Michael Ingalls

Jeffrey A Sutherland

Brett D A Flegg

Kenneth Mark Osborne

Daniel Ward

Prabagar Ramadasse

Jie Du

Chuanbo Zhang

Jeffry B Phillips

Loretta Marie Macklem-Clements

Daniel N J Drew

Maayan Bar-Niv

Yian Mo

Justin K Stanton

Chung Man Yiu

Donald Y Song

Joseph S Calabig

Peter Francis Martone

Toshitha Jagadeesh

Jeff Liu

Sobia Tariq

Jun Ma

Galen Clyde Hunt

Robert M Fries

Robert Victor Welland

Bassam Tabbara

Ashvinkumar J Sanghvi

Aamer Hydrie

Rene Antonio Vega

Anders Bertil Vinberg

Raymond W McCollum

Geoffrey Hugh Outhred

Gopal Parupudi

John M Parchem

Vij Rajarajan

Efstathios Papaefstathiou

Rob M Mensching

Vitaly Voloshin

John H Wilson

Mazhar Naveed Mohammed

Jonathan C Hardwick

Nirupama Chandrasekaran

Eric Joseph Winner

John Leo Ellis

Jeroen E Van Eesteren

Anand Lakshminarayanan

Jeffrey A Woolsey

Edwin R Lassettre

Kevin D J Grealish

Prasanna Kumar Jayapal

Ramasubramanian Shastri

Michael J Wallent

Eric Louis Zager

Bippen Bisht

Yongcheng Huang

Miho Urabe

Deepam Dubey

Yanfeng Cui

Richard Xia

Bruno Ryuichi Yoshioka

Joshua Pointer

Ingo R A G Bringemeier

Paul Joseph Lyman Schottland

Martin Napier Dey

Daniel Nicholas Joseph Drew

Doyle S Cronk

Anton M Varshavskiy

Brandon M Waterloo

Fernando J Sanchez Gonzalez

Brett Da Flegg

Aniket M Sapre

Charles B Kilpatrick

Chung-Wei Foong

Hang Heidi Cheng

Ransom VanOrman

Koen Van Der Hoeven

Eric Holtz

Michael John Wallent

Brett DA Flegg

Michael Healy

Ingo RAG Bringemeier

A solution is disclosed for computer hardware replacement using performance analytics that selects replacement computer hardware based on actual user needs and enterprise priorities. Key performance data is collected and compared with various baselines, thereby identifying hardware that is performing below acceptable levels. Enterprise data and collected data are received from an instrumented operating system on a computing device. The collected data includes boot performance, application performance, and hardware performance. Based at least on the collected data, a usability score is determined by performing a weighted calculation on the collected data. Based at least on the usability score and the enterprise data, it is determined whether a score improvement is required. Based at least on the enterprise data, a score improvement selection is determined. The score improvement selection is reported based at least on determining that a score improvement is required.

Optimizing hardware replacement using performance analytics

Techniques are described herein that are capable of providing a recommendation of an admin change (i.e., an admin change recommendation) in an enterprise. A type of intended admin change that an administrator is to perform with regard to an enterprise is determined. The type is cross-referenced with information indicating admin changes made by administrator(s) in environment(s) of enterprise(s) and values of metrics resulting therefrom to identify subsets of the information to which the type corresponds. A causal relationship is inferred between admin change(s) made after an admin change of the type and an increase in value(s) of metric(s) that are indicated by information in the subsets. A recommended admin change is recommended to be performed by the administrator based at least in part on a causal relationship between the recommended admin change and an increase in at least one of the value(s) of at least one of the respective metric(s).

Admin change recommendation in an enterprise

Techniques are described herein that are capable of estimating a result of configuration change(s) in an enterprise. Enterprise information regarding a designated enterprise is gathered. The enterprise information is combined with anonymized information that is received from multiple enterprises to provide combined information. An actual impact of configuration changes in at least one enterprise (e.g., with regard to a first subset of the machines therein) is determined and/or a predictive impact of the configuration change(s) in at least one enterprise (e.g., with regard to a second subset of machines therein) is inferred. An estimate of a net financial result of implementing the configuration change(s) (e.g., with regard to the second subset of the machines) in the designated enterprise is generated based at least in part on the actual impact and/or the predictive impact.

Estimating a result of configuration change(s) in an enterprise

Techniques are described herein that are capable of selectively throttling an implementation of configuration changes in an enterprise. For instance, incremental phases of the implementation on respective subsets of clients are selectively throttled during respective periods of time by performing operations for each subset during a respective phase that precedes a respective next phase of the implementation. The operations include gathering information regarding the phase from the clients in the subset; generating a score that indicates an extent to which metrics associated with the implementation are satisfied during the phase based at least in part on the information; comparing the score to a reference score for the subset to determine whether the score is within a tolerance associated with the reference score; and selectively throttling the next phase of the implementation based at least in part on whether the score is within the tolerance.

Selectively throttling implementation of configuration changes in an enterprise

A solution is disclosed for intelligent configuration management of user devices that includes: receiving application performance data for a plurality of applications from each of a first plurality of tenant environments or cloud services or both, the application performance data including a program ID for at least one application of the plurality of applications; receiving incident alerts related to the first program ID from each of a second plurality of tenant environments; based at least on receiving the incident alerts, determining whether a count of the second plurality of tenant environments meets a threshold; and based at least on the count of the second plurality of tenant environments meeting the threshold, requesting incident reports related to the program ID from each of a third plurality of tenant environments, wherein the third plurality of tenant environments has a smaller count than the count of the second plurality of tenant environments.

Intelligent configuration management of user devices

Techniques are described herein that are capable of utilizing agent-based configuration co-management to selectively migrate workloads from a first configuration management authority to a second configuration management authority. The first configuration management authority has a first management client and a first management server that provides a first management service. The second configuration management authority has a second management client and a second management server that provides a second management service. An operating system that runs on a computing device enrolls the first management agent and the second management agent into the second configuration management authority. The first management agent negotiates with the second management agent to determine a first subset of the workloads that is to be handled by the first management agent and a second subset of the workloads that is to be handled by the second management agent.

Agent-based configuration co-management to selectively migrate workloads

Content can be replicated automatically to facilitate distribution of the content to one or more devices. Determinations can be made automatically regarding where to replicate data, how to replicate data, and when to replicate data based on a variety of collected data with respect to devices, content servers, content sources, and content. More particularly, one or more content servers can be identified as targets for content replication and a protocol can be determined to replicate content from at least one source to the one or more content servers identified. Subsequently, replication can be initiated to the one or more content servers with the corresponding protocol at a determined time. Further, similar mechanisms can be employed to enable automatic determination of how and when to distribute or replicate content from one or more content servers to one or more target devices.

Automatic content replication

Displaying a hierarchy. A method includes identifying a set of nodes representing sites in a hierarchy. The set of nodes share one or more common characteristics not shared by any other nodes in the hierarchy. The method further includes determining that the set of nodes, as a set, meet a predetermined condition. As a result of the nodes sharing the one or more common characteristics not shared by any other nodes in the hierarchy and as a result of the set meeting the predetermined condition, the method further includes aggregating at least a portion of the set of nodes. The method further includes displaying in a graphical user interface a representation of the hierarchy including displaying the aggregated portion as a single entity in the hierarchy.

Relationship visualization and graphical interaction model in IT client management

A method, system, and architecture for managing computer systems is provided. A management system employs management objects (MOs) to provide administrators the ability to intuitively express the administrative intent in an information technology (IT) environment, and to act out the administrative intent based on the information gathered by the management system. Managed elements of an IT environment, such as, by way of example, hardware components, software applications, software updates, software distribution policies, configurations, settings, etc., may be expressed as MOs. Actions, such as, by way of example, detect, install/apply, remove, remediate, enumerate, etc., may be associated with the MOs. The management system manages the computer systems by deploying the appropriate MOs and their associated actions onto the computer systems, and performing the actions on the computer systems.

Object-based computer system management

An enterprise management system may present data in a user interface that contains tabular data and a graphical representation of the tabular data. The graphical representation may change based on portions of the tabular data that may be selected, and may show a graphical data summary if no rows are selected, or detailed graphical illustrations of the selected rows. In some cases, filters may be applied to the data, and a selection tool may enable a user to select from several different parameters in each row.

Graphical representation of tabular data

Embodiments of the present invention provide the ability to accurately match a particular computing device within a networked computing environment with an identity of that computing device. According to one aspect, a method for identifying a client computing device in a networked computing environment is provided. The method receives a discovery data record that includes a hardware identification and a logical identification, and in response, queries a plurality of client records for a matching client record. If a matching client record is identified by the query it is compared with the received discovery data record to identify the client computing device.

Method, system and apparatus for managing computer identity

Migrating services and clients from a legacy topology to a new topology. A method includes receiving user input selecting a first client managed by a first configuration management system to migrate to a second configuration management system. Dependencies of the first client are determined, including determining services on which the first client depends to function in a topology. The dependencies of the first client including services and their data on which the first client depends to function in a topology are migrated to a second configuration management system or an administrator is alerted to the dependencies of the first client including services and their data on which the first client depends to function in a topology.

Live migration method for large-scale IT management systems

Relationship visualization and graphical interaction model in it client management

Growing community of inventors

Snohomish, WA, United States of America

David C James