Microsoft Technology Licensing, LLC

Marc Keith Windle

Alexander Hopmann

Erick Raymundo Lerma

Jason Matthew Cahill

Zach Rosenfield

Balinder Malhi

Eric B Fox

Patrick Simek

Doron Bar-Caspi

Ricardo Prates De Oliveira

Arshish C Kapadia

Tarkan Sevilmis

Jonathan M Luk

Akshay Navneetlal Mutha

Kshamta Jerath

Tittu Jose

Vipins Gopinadhan

David Paul Harris Gorbet

Michelle Lee Dauphiny

Peilin Hao

Joshua Calvin Jenkins

Vipins Gopinadham

Hao Zuo

Dan Rosenthal

A data processing system for determining a capacity of a server farm implements determining a first operating parameter indicative of a utilization status of a server farm comprising a plurality of virtual machines; determining that the first operating parameter falls within a first range of operating values in which capacity testing of the server farm is performed; capacity testing the server farm to determine a capacity estimate by iteratively configuring a virtual machine of the plurality of virtual machines operating in an active state to operate in a sleep state until the first operating parameter reaches an upper threshold associated with the first range of operating values and monitoring performance of the plurality of virtual machines; modifying configuration parameters of the server farm to adjust an amount of available computing capacity based on the capacity estimate; and operating the server farm based on the updated configuration parameters.

Determining server farm capacity and performance

A cloud manager controls the deployment and management of machines for an online service. A build system creates deployment-ready virtual hard disks (VHDs) that are installed on machines that are spread across one or more networks in farms that each may include different configurations. The build system is configured to build VHDs of differing configurations that depend on a role of the virtual machine (VM) for which the VHD will be used. The build system uses the VHDs to create virtual machines (VMs) in both test and production environments for the online service. The cloud manager system automatically provisions machines with the created virtual hard disks (VHDs). Identical VHDs can be installed directly on the machines that have already been tested.

Server farm management

Objects are placed on hosts using hard constraints and soft constraints. The objects to be placed on the host may be many different types of objects. For example, the objects to place may include tenants in a database, virtual machines on a physical machine, databases on a virtual machine, tenants in directory forests, tenants in farms, and the like. When determining a host for an object, a pool of hosts is filtered through a series of hard constraints. The remaining pool of hosts is further filtered through soft constraints to help in selection of a host. A host is then chosen from the remaining hosts.

Placing objects on hosts using hard and soft constraints

Creating and deploying service-ready virtual hard disks

A cloud manager assists in deploying and managing networks for an online service. The cloud manager system receives requests to perform operations relating to configuring, updating and performing tasks in networks that are used in providing the online service. The management of the assets may comprise deploying machines, updating machines, removing machines, performing configuration changes on servers, Virtual Machines (VMs), as well as performing other tasks relating to the management. The cloud manager is configured to receive requests through an idempotent and asynchronous application programming interface (API) that can not rely on a reliable network.

Managing networks and machines for an online service

A machine manager controls the deployment and management of machines for an online service. The machine manager is configured to manually/automatically deploy farms, upgrade farms, add machines, remove machines, start machines, stop machines, and the like. The machine manager keeps track of the locations of the machines, the roles of the machines within the networks, as well as other characteristics relating to the machines (e.g. health of the machines). Instead of upgrading software on the machines in a farm that are currently handling requests, one or more machines are configured in a new farm with the selected disk images and then the requests are moved from the old farm to the new farm.

Machine manager for deploying and managing machines

An online service includes databases that are upgraded while still processing requests. For example, web servers continue to request operations on the database while it is being upgraded. The schema of the database is upgraded before the web servers are upgraded to utilize the upgraded schema. Changes that are made to the upgraded schema are backwards compatible with the schema being used during the upgrade process. Restrictions are placed on the operations performed on the database during the upgrade process. After upgrading the schema, the web servers of the online service are upgraded to use the upgraded schema.

Online database availability during upgrade

An online service includes managed databases that include one or more tenants (e.g. customers, users). A multi-tenant database may be split between two or more databases while the database being split continues processing requests. For example, web servers continue to request operations on the database while content is being moved. After moving the content, tenant traffic is automatically redirected to the database that contains the tenant's content.

Dynamically splitting multi-tenant databases

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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Marc Keith Windle