Microsoft Technology Licensing, LLC

Haoran Andy Wu

Igor Sedukhin

Amol Kulkarni

Erik B Christensen

Daniel Eshner

Prasad Sripathi Panditharadhya

Vladimir Pogrebinsky

Girish Mittur Venkataramanappa

Sumit Mohanty

Mariusz Gerard Borsa

Sundeep Sahi

Kenneth David Wolf

John Anthony Taylor

Stephen T Swartz

Nagalinga Durga Prasad Sripathi Panditharadhya

Gilles C J A Zunino

Karthik Arun Nanjangud Bhaskar

Michael Josef Krejcik

Yosseff Levanoni

Gueorgui Chkodrov

Oliver J Sharp

Udaya Kumar Bhaskara

Leo S Vannelli, Iii

Anubhav Dhoot

Vikram Desai

Mandyam Kishore

Uday Bhaskara

Michael Oliver Neary

Steve Swartz

Dan Eshner

Timothy Glenn MacNary

Amol Sudhakar Kulkarni

In one embodiment, a computer system accesses an event associated with an activity, where the activity has been executed by a runtime as part of a software application. The runtime includes a software hook configured to listen for event stream operation indications from the user. The computer system tags the accessed event with an additional portion of identification information that uniquely identifies the executed activity. The computer system receives an event stream operation indication from the user indicating that event transmission for an identified event stream is to be dynamically enabled or disabled and identifies the user-indicated event stream using the tagged identification information. The computer system also dynamically performs the indicated event stream operation on the identified event stream according to the user's indication.

Dynamic event collection and structured storage

Embodiments are directed to generating trace events that are configured to report an association between a workflow activity and a message. A computer system receives a message over a communication medium, where the workflow activity includes a unique workflow activity identifier (ID) that uniquely identifies the workflow activity. The message also includes a unique message ID that uniquely identifies the message. The computer system generates a trace event that includes a combination of the unique workflow activity ID and the unique message ID. The trace event is configured to report the association between the workflow activity and the message. The computer system also stores the generated trace event in a data store.

Correlating, logging and tracing messaging events between workflow instances with globally unique identifiers

The present invention extends to methods, systems, and computer program products for processing model based commands for distributed applications. Embodiments facilitate execution of model-based commands, including software lifecycle commands, using model-based workflow instances. Data related to command execution is stored in a shared repository such that command processors can understand their status in relationship to workflow instances. Further, since the repository is shared, command execution can be distributed and balanced across a plurality of different executive services. Embodiments also include model-based error handling and error recovery mechanisms.

Processing model-based commands for distributed applications

The present invention extends to methods, systems, and computer program products for monitoring distributed applications. Declarative application models are used. Operational data for a deployed application can be compared to an application intent expressed in a corresponding declarative application to provide more effective monitoring of application behavior. Application components can subscribe to an event fabric to receive configurations that indicate what events the application is to emit (i.e., publish into the event fabric) for monitoring. Thus, applications essentially subscribe to produce information (as opposed to subscribing to receive information). Monitoring can be dynamically adjusted in response to environment changes.

Monitoring distributed applications

The present invention extends to methods, systems, and computer program products for managing software lifecycle. Based on declarative models and knowledge of their interpretation, embodiments of the present invention facilitate lifecycle management for model-based software applications. Lifecycle models, such as, for example, lifecycle state machine models are stored in a shared repository such that executive services can determine how software application lifecycles are to be managed and transitioned. Software lifecycle activities can verify that a transition is possible and identify any errors preventing a lifecycle transition. Model-based error handling and error recovery mechanisms can be used to correct any identified errors.

Managing software lifecycle

The present invention extends to methods, systems, and computer program products for distributed behavior controlled execution of modeled applications. Embodiments of the invention facilitate the interoperation of a central data store along with various peer-to-peer functionalities. Thus, distributed applications can be executed in an environment that utilizes advantages of both a central data store and peer-to-peer messaging. A read-only portion of a centralized data store can be used to provide some behavior control over various processing systems during execution of a distributed software application. Thus, embodiments of the invention can be used to form a policy-driven collective of nodes forming a distributed, decentralized run-time for model-based applications. Utilizing a cooperating collective of nodes that comply with centralized polices and execute applications over a peer-to-peer fabric permits a distributed application runtime to accommodate distribution and decentralization on a large scale.

Distributed behavior controlled execution of modeled applications

The present invention extends to methods, systems, and computer program products for performing requested commands for model-based applications. Embodiments of the invention permit efficient implementation of operations for model-based applications. Since drivers that are to implement an operation request data for implementing the operation, embodiments significantly reduce the likelihood of superfluous data being exchanged between an executive service and drivers. Further, if an operation is interrupted before implementation is complete, the operation can be resumed without having to re-perform already completed portions of the operation. Additionally, a user can be regularly updated on the progress of their commands.

Performing requested commands for model-based applications

Enabling and processing events. To enable events, an application model correlated to an application is declaratively defined. The application model describes operations of the application. One or more event models correlated to the application model are declaratively defined. The event models describe application execution locations where events are desired to be emitted in the execution of the application. Based on the correlation of the event models to the application models, the applications are instrumented with instrumentation code to cause the application to emit events at the execution locations. To process events an application model is defined. The application model includes one or more observation models. The observation models include a correlation of events to the observation model by defining instrumentation models in the application model. An event is received. The event is applied to the observation model based on the correlation. The event is processed according to the observation model.

Model-driven, repository-based application monitoring system

Abstracting communication with a plurality of containers. Each container encapsulates or hosts a module (e.g., a web service, a database, etc.) associated with a distributed application. A meta-container communicates with drivers that interface with each of the containers. The meta-container represents an abstraction and a virtualization of the containers in the hierarchy. Each container may also be a meta-container for other containers. The recursion and layered hierarchy provide flexible, extensible, and efficient management of the distributed application.

Meta-container for model-based distributed applications

A method and apparatus for transforming large messages using a scalable process. This scalable process decomposes the message into nodes and node values. Navigation between related tree node tree is carried out based upon the decomposed message. Following decomposition a first node to be transformed is retrieved. Following retrieval of the first node a second node to be transformed is requested. The process obtains the node from the node files. This process repeats until the message is transformed.

Scalable transformation and tree based query language node&#x2014;set selection

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Sammamish, WA, United States of America

Haoran Andy Wu