Microsoft Technology Licensing, LLC

Ramesh Thimmarajarasu Bangalore

Michael James Ott

Neelanjana Sachdev

Sushma Ashwin Rao

David Mowatt

David Robert Shutt

Venkat Pradeep Chilakamarri

Nirav Girish Shah

Charles D McClintock

Scott Garrett Thompson

Hao Sun

Matthew Lenell Cooper

Chaitanya Gogineni

Vijay Mohan

Jagan Peri

Dori Paris

Douglas William Wood

Eric Liu

Pat Munns

Si Latt

Dhruv Malhotra

Systems and methods for optimizing application experiences on devices in an enterprise while maintaining privacy compliance are provided. An enterprise model management service of the enterprise accesses, from a centralized software service, a model comprising one or more rules to be applied to an application. The model is provided to devices of a first cohort, whereby a rule of the model causes an action associated with the application to occur at each device. User metrics associated with the action at each device of the first cohort is aggregated. The user metrics indicate a result of the action at each device. The aggregated user metrics are analyzed, whereby the analyzing includes determining a second cohort at the enterprise. The model is then provided to devices of at least a portion of the second cohort. No user metrics are returned to the centralized software service thus maintaining privacy compliance.

Intelligent edge state optimization within enterprise with zero data exhaust

A system to obtain multiple feedback inquiries associated with an application and to ensure that at least a minimum duration passes between successive inquiries being shown to a user. The system may receive dynamic inquiries from an inquiry server that is external to the client device running the application and also receive static inquiries included within computer code of the application. The system may order (e.g., rank) the multiple inquiries according to priority to generate a prioritized inquiry sequence. The system may then refrain from exposing low priority inquiries if higher priority inquiries have yet to be exposed to solicit user input. Individual inquiries can include a classifier to enable the system to determine associations between discrete inquiries and to govern a rate at which groups of associated inquiries are shown to a user.

Dynamic governance of exposing inquiries and notifications at client devices

Systems and methods for controlling delivery of surveys associated with a software application at a client device. One system includes a client device having an interface, a memory, and an electronic processor. The interface is configured to receive a survey including a survey item and a survey rule defining when the survey item is to be delivered to a user of the client device. The memory is configured to store the survey. The electronic processor is configured to execute the software application and receive a log of events associated with the execution of the software application. The electronic processor is also configured to access the survey stored in the memory, determine when the log of events satisfies the survey rule, and deliver the survey item to the user in response to the log of events satisfying the survey rule.

Client-side survey control

A system analyzes descriptions of performance issues that are submitted responsive to inquiries to expediently diagnose and mitigate performance issues. In implementation, inquiries associated with features of an application are exposed at client device. Then, user responses to the inquiries are provided to relief evaluators that analyze the user responses to diagnose reported performance issues. The relief evaluators include diagnostic packages that diagnose predetermined performance issues by analyzing individual user responses to particular inquiries. The relief evaluators also include relief packages that mitigate the predetermined performance issues. A relief package may mitigate the predetermined performance issue by displaying a message that informs the user how to adjust the system state to prevent the reported performance issue 'symptom' from reoccurring. Additionally, or alternatively, a relief package may mitigate the performance issue by automatically adjusting the system state to prevent the reported performance issue 'symptom' from reoccurring.

Systems and methods of analyzing user responses to inquiries to diagnose and mitigate reported performance issues on a client device

Systems and methods for error detection within a multi-session collaborative environment. One method includes receiving, from a first client application session associated with a first user, a first diagnostic log, including an error message. The method includes determining a second client application session associated with a second user in a collaboration session with the first client session, and triggering, in the second client application session, an artificial error condition based on the error message. The method includes, receiving, from the second client application session, a second diagnostic log. The method includes tagging the first and second diagnostic logs with a session identifier indicative of the collaboration session, and transmitting the first and second diagnostic logs to a collaborative environment administrator. The method includes transmitting a notification based on the error to at least one of the first client application session and the second client application session.

Collecting repeated diagnostics data from across users participating in a document collaboration session

A hosted multi-tenant application is provided that permits a tenant to self-manage aspects of the operation of the application. A tenant may be permitted to upgrade the multi-tenant application on-demand or according to a schedule, to place the multi-tenant application into a read-only mode of operation, to create a shadow copy of their unshared organization database, to merge changes to a shadow copy into a master version of the unshared organization database, to create and revert to snapshots of an unshared organization database, and to perform other functions. A computing architecture that utilizes site-wide server computers and scale groups may be utilized to implement this functionality.

Tenant management of a hosted multi-tenant application

A dynamic load balancing system is described that determines the load of resources in a hosted environment dynamically by monitoring the usage of resources by each customer and determines the number of customers hosted by a server based on the actual resources used. The system receives a performance threshold that indicates when a server is too heavily loaded and monitors the resource usage by each customer. When the load of an overloaded server in the hosted environment exceeds the received performance threshold, the system selects a source customer currently hosted by the overloaded server to move to another server.

Automatic load balancing, such as for hosted applications

Technologies are described herein for implementing a hosted multi-tenant application system. The server computers utilized to provide the hosted application are organized into logical groupings of server computers called scale groups. One or more tenants are assigned to each scale group. When a new tenant is provisioned, the tenant is assigned to a scale group and a database server in the assigned scale group creates a database for the tenant. An association between the tenant and the scale group is also created in a shared configuration database. When a request is received from a tenant to access the hosted application, the shared configuration database is consulted to locate the scale group hosting the tenant. Once the appropriate scale group has been located, the request is redirected to the appropriate scale group for processing.

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Redmond, WA, United States of America

Ramesh Thimmarajarasu Bangalore