Abstract: 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.

Abstract: 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.

Abstract: A container service is capable of hosting large numbers of middleware components for multiple tenants. A central container manager controls a plurality of compute nodes. The central container manager receives middleware components from external devices or services and assigns the components to containers on one or more designated compute nodes. Each compute node has a container management agent and one or more containers. The container management agents activate and manage the appropriate number of containers to run the assigned middleware components. The container management agent assigns each container on its compute node a limited set of privileges to control access to shared resources. The central container manager and each node's container management agent monitor container load levels and dynamically adjust the placement of the middleware components to maintain balanced operation. The compute nodes are grouped into clusters based upon the type of middleware components hosted on each compute node.

Abstract: The present invention extends to methods, systems, and computer program products for translating declarative models. Embodiments of the present invention facilitate processing declarative models to perform various operations on applications, such as, for example, application deployment, application updates, application control such as start and stop, application monitoring by instrumenting the applications to emit events, and so on. Declarative models of applications are processed and realized onto a target environment, after which they can be executed, controlled, and monitored.

Abstract: A system for automatically implementing high-level instructions in a distributed application program, where the high-level instructions reflect the behavior of the distributed application program, includes at least a tools component. The tools component is used to write high-level instructions in the form of declarative models, and place them in a repository. An executive component then receives the declarative models from the repository and refines them (e.g., via progressive elaboration) until there are no ambiguities. A platform-specific driver then translates the commands from the executive component, effectively turning the declarative model instructions into a set of imperative actions to be implemented in one or more application containers. The platform-specific driver also relays one or more event streams to an analytics means, which can result in modifications to the declarative models and corresponding new sets of instructions coming through the platform-specific driver at a later point.

Abstract: A container service is capable of hosting large numbers of middleware components for multiple tenants. A central container manager controls a plurality of compute nodes. The central container manager receives middleware components from external devices or services and assigns the components to containers on one or more designated compute nodes. Each compute node has a container management agent and one or more containers. The container management agents activate and manage the appropriate number of containers to run the assigned middleware components. The container management agent assigns each container on its compute node a limited set of privileges to control access to shared resources. The central container manager and each node's container management agent monitor container load levels and dynamically adjust the placement of the middleware components to maintain balanced operation. The compute nodes are grouped into clusters based upon the type of middleware components hosted on each compute node.

Abstract: The present invention extends to methods, systems, and computer program products for translating declarative models. Embodiments of the present invention facilitate processing declarative models to perform various operations on applications, such as, for example, application deployment, application updates, application control such as start and stop, application monitoring by instrumenting the applications to emit events, and so on. Declarative models of applications are processed and realized onto a target environment, after which they can be executed, controlled, and monitored.

Abstract: The present invention extends to methods, systems, and computer program products for translating declarative models. Embodiments of the present invention facilitate processing declarative models to perform various operations on applications, such as, for example, application deployment, application updates, application control such as start and stop, application monitoring by instrumenting the applications to emit events, and so on. Declarative models of applications are processed and realized onto a target environment, after which they can be executed, controlled, and monitored.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: The present invention extends to methods, systems, and computer program products for translating declarative models. Embodiments of the present invention facilitate processing declarative models to perform various operations on applications, such as, for example, application deployment, application updates, application control such as start and stop, application monitoring by instrumenting the applications to emit events, and so on. Declarative models of applications are processed and realized onto a target environment, after which they can be executed, controlled, and monitored.

Abstract: A system for automatically implementing high-level instructions in a distributed application program, where the high-level instructions reflect the behavior of the distributed application program, includes at least a tools component. The tools component is used to write high-level instructions in the form of declarative models, and place them in a repository. An executive component then receives the declarative models from the repository and refines them (e.g., via progressive elaboration) until there are no ambiguities. A platform-specific driver then translates the commands from the executive component, effectively turning the declarative model instructions into a set of imperative actions to be implemented in one or more application containers. The platform-specific driver also relays one or more event streams to an analytics means, which can result in modifications to the declarative models and corresponding new sets of instructions coming through the platform-specific driver at a later point.