Microsoft Technology Licensing, LLC

Tittu Jose

Arshish C Kapadia

Tarkan Sevilmis

Peter Adam Outcalt

Hardik V Shah

Sreekanth Lingannapeta

Maxim Lukiyanov

Stephen John Clark

Gheorghita Irimescu

Janak Madhusudan Agarwal

Jason Matthew Cahill

Alexander Hopmann

Eric B Fox

Michael Thomas McLean

Marc Keith Windle

Erick Raymundo Lerma

Zach Rosenfield

Kshamta Jerath

Doron Bar-Caspi

Ricardo Prates De Oliveira

Colin Daniel Eugene Jeanne

Systems, methods, and software for management of partitioned data storage spaces are provided herein. An exemplary method includes storing sets of structured data records among partitioned data storage spaces, with data fields of the structured data records correlated among the sets by relational associations. The method includes maintaining data fields in a first set of structured data records, the data fields comprising promoted data fields that reference properties of data fields of a second set of structured data records. Responsive to an update to a data field of a first structured data record, the method includes determining if the update relates to a promoted data field, implementing a portion of the update in the second set of structured data records, and propagating the update to associated promoted data fields in the first set of structured data records along with any intervening changes received for the associated promoted data fields.

Promoted properties in relational structured data

Systems, methods, and software for management of partitioned data storage spaces is provided herein. An exemplary method includes storing sets of structured data records among partitioned data storage spaces, with data fields of the structured data records correlated among the sets by relational associations. The method includes receiving a change action related to a selected structured data record, and responsive to the change action, scheduling execution of the change action in a reminder index. The method includes executing the change action according to at least scheduling indicated by the reminder index.

Reminder processing of structured data records among partitioned data storage spaces

When a software component is starting, such as but not limited to a task or a subtask, the component pushes its identification (ID) onto a stack. The component executes its other instructions. If the component completes its instructions so that it can terminate normally, it pops the stack, which removes its ID from the stack. If the component fails, such as by not being able to complete its instructions, it will not be able to pop the stack so its ID will remain in the stack. Another software process can read the IDs in the stack to identify which components have failed and can automatically take a specified action, such as by sending an email message to, sending a text message to, or calling by telephone, a person or persons responsible for that software component.

Failure mode identification and reporting

When a software component is starting (), such as but not limited to a task or a subtask, the component pushes () its identification (ID) onto a stack. The component then executes () its other instructions. If the component completes its instructions so that it can terminate normally (), then it pops () the stack, which removes its ID from the stack. If the component fails, such as by not being able to complete its instructions, then it will not be able to pop the stack so its ID will remain in the stack. Another software process can then read the IDs in the stack to identify () which components have failed and can automatically take a specified action (), such as by sending an email message to, sending a text message to, or calling by telephone, a person or persons responsible for that software component.

A machine manager controls the deployment and management of machines (physical and virtual) for an online service. Multi-tier server groups are arranged in farms that each may include different configurations. For example, their may be content farms, federated services farms and SQL farms that are arranged to perform operations for the online service. When the multiple farms are upgraded, new farms are deployed and the associated content databases from the old farms are moved to the newly deployed farms. During the upgrade of the farms, requests may continue to be processed by the farms. The farms may be automatically load balanced during an upgrade. As content becomes available on the new farm, requests for the content may be automatically redirected to the new farm.

Upgrade of highly available farm server groups

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Tittu Jose