Abstract: At least some embodiments described herein refer to the user of a rendering interpreter that receives data object(s) from code executing within a restricted environment container (such as an IFrame). The restricted environment container prevents the code from adversely impacting the performance and consistency of the user interface system as a whole, and also prevents the code from adversely impacting the performance of code running in other restricted environment containers.

Abstract: At least some embodiments described herein refer to the user of a rendering interpreter that receives data object(s) from code executing within a restricted environment container (such as an IFrame). The restricted environment container prevents the code from adversely impacting the performance and consistency of the user interface system as a whole, and also prevents the code from adversely impacting the performance of code running in other restricted environment containers.

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 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.

Abstract: A method for monitoring a model-based distributed application includes accessing a declarative application model describing an application intent, and deploying a model-based distributed application in accordance with the declarative application model. Events associated with the deployed application are received from a node. The received events are aggregated into node-level aggregations using a node manager. The node-level aggregations are aggregated into higher-level metrics based on the declarative application model. The higher-level metrics are stored for use in making subsequent decisions related to the behavior of the deployed application.

Abstract: A method for managing a model-based distributed application includes accessing a declarative application model describing an application intent for each of multiple application dimensions, and deploying a model-based distributed application in accordance with the declarative application model. Events associated with the deployed application are received. An observed state of the deployed application is determined for each of the multiple dimensions based on the received events. Operation of the deployed application is modified when the observed state for any one of the multiple dimensions deviates from the application intent for that dimension.

Abstract: A system for automatically adjusting operation of a distributed application program includes analytics means having a monitoring component. The monitoring component receives one or more event streams of data corresponding to execution of one or more modules of the distributed application program. The monitoring component joins the received event streams with one or more declarative models to create operational data. A forensics component of the analytics means queries, such as by using data from a declarative model store, the operational data to identify trends or behavior information for the various modules or components of the distributed application program. A planner component then reviews data created by the forensics component to identify any needed changes to the declarative models. The planner component passes any modified declarative models back to the system, so that the distributed application program can operate more efficiently using the changes to the declarative models, as needed.

Abstract: A system for automatically adjusting operation of a distributed application program includes analytics means having a monitoring component. The monitoring component receives one or more event streams of data corresponding to execution of one or more modules of the distributed application program. The monitoring component joins the received event streams with one or more declarative models to create operational data. A forensics component of the analytics means queries, such as by using data from a declarative model store, the operational data to identify trends or behavior information for the various modules or components of the distributed application program. A planner component then reviews data created by the forensics component to identify any needed changes to the declarative models. The planner component passes any modified declarative models back to the system, so that the distributed application program can operate more efficiently using the changes to the declarative models, as needed.

Abstract: A system for automatically adjusting operation of a distributed application program includes analytics means having a monitoring component. The monitoring component receives one or more event streams of data corresponding to execution of one or more modules of the distributed application program. The monitoring component joins the received event streams with one or more declarative models to create operational data. A forensics component of the analytics means queries, such as by using data from a declarative model store, the operational data to identify trends or behavior information for the various modules or components of the distributed application program. A planner component then reviews data created by the forensics component to identify any needed changes to the declarative models. The planner component passes any modified declarative models back to the system, so that the distributed application program can operate more efficiently using the changes to the declarative models, as needed.

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 visualizing key performance indicators for model-based applications. A composite application model defines how to graphically present an interactive user surface for a composite application from values of a key performance indicator for the composite application. A presentation module accesses values of the key performance indicator for a specified time span. The presentation module graphically presents an interactive user surface for the values of the key performance indicator for the specified time span in accordance with the definitions in the composite application model. Interface controls are provided to manipulate how the data is presented, such as, for example, panning and zooming on key performance indication values. Other relevant data can also be presented along with key performance indicator values to assist a user in understanding the meaning of key performance indication values.

Abstract: 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.

Abstract: A system for automatically adjusting operation of a distributed application program includes analytics means having a monitoring component. The monitoring component receives one or more event streams of data corresponding to execution of one or more modules of the distributed application program. The monitoring component joins the received event streams with one or more declarative models to create operational data. A forensics component of the analytics means queries, such as by using data from a declarative model store, the operational data to identify trends or behavior information for the various modules or components of the distributed application program. A planner component then reviews data created by the forensics component to identify any needed changes to the declarative models. The planner component passes any modified declarative models back to the system, so that the distributed application program can operate more efficiently using the changes to the declarative models, as needed.