Microsoft Technology Licensing, LLC

Akezyt Janedittakarn

Michael James Ott

Alexander M Tkatch

Arash Ghanaie-Sicanie

Roberto Adlich Dos Santos

David Robert Shutt

Arash Ghanaie-Sichanie

Nishant Gupta

Ghanaie-Sichanie Arash

Arash Ghanaie-Sicanle

An extensible, multi-tenant software-as-a-service business application platform is provided for hosting multiple organizations. Organization services are provided by virtual or physical servers with dedicated data stores assembled in scalable groups. Distributed interaction between components of the scalable groups may enable extensibility and reliability, while changes in locations of organization services are provided to the client(s) for seamless continuation of the client's access to the services. Customizable and dynamic APIs for accessing each organization's data and applications isolated from the others and pluggable third party authentication services may also be integrated into the platform.

Extensible and programmable multi-tenant service architecture

A server platform exposes server-hosted application services to client applications. Calls to the server-hosted application services may be executed along with custom business logic extensions. A client platform is also provided that exposes client-hosted application services to a client application. The same business logic extensions that execute on the server platform can be utilized by the client platform. When a client application is online and connected to the server platform, the client application utilizes the server-hosted application services in the manner described above. When the client application is offline, the client application utilizes the client-hosted application services. The server platform synchronizes the business logic extensions to the client platform.

Executing business logic extensions on a client computing system

Service-oriented systems employing pipeline architecture to accommodate third party extensions for extending existing functionality or providing additional functionality are provided. User or third party provided plug-ins are registered through metadata and executed in a pipeline along with platform operations. The pipeline is extendable on the fly with newly uploaded plug-ins. Dependency analyses for ordering synchronous or asynchronous pipeline operations enable multiple parties to extend the system and operate predictably. Loop detection mechanisms prevent misuse of system resources through accidental or malicious creation of infinite loops with exceptions for non-degenerate infinite loops.

Service-oriented pipeline based architecture

Technologies are described herein for executing business logic extensions on a client computing system. A server platform exposes server-hosted application services to client applications. Calls to the server-hosted application services may be executed along with custom business logic extensions. A client platform is also provided that exposes client-hosted application services to a client application. The same business logic extensions that execute on the server platform can be utilized by the client platform. When a client application is online and connected to the server platform, the client application utilizes the server-hosted application services in the manner described above. When the client application is offline, the client application utilizes the client-hosted application services. The server platform synchronizes the business logic extensions to the client platform.

In a multi-tenant environment, synchronous processing requests from clients associated with tenants are handled by middle tier servers, which forward requests for asynchronous processing to queues associated with organizational databases for each tenant directed by a locator service. A group of independent asynchronous processing servers are used to perform the asynchronous processing interacting with the databases in a distributed manner. The allocation of the requests among the asynchronous servers is managed by an exponential back off for organizations with no waiting requests algorithm combined with a quota system based on historic load for organizations that have requests. The independence of the synchronous and asynchronous processing servers, as well as the distributed interaction between the asynchronous processing servers and the databases enables scalability of the system based on request types and implementation of reliable recovery mechanisms.

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Akezyt Janedittakarn