Abstract: A system and method of isolated testing platform for cloud database production queries. The method includes providing an execution platform including a production deployment to receive a first group of queries from a first group of user devices. The production deployment includes a local data storage to store a first dataset associated with the first group of user devices and an execution node to process the first group of queries based on a first version of an application and based on the user data. The method includes receiving a request to test a second version of the application based on the first version of the application. The method includes deploying a ghost deployment onto the execution platform. The method includes replaying the first group of queries on the ghost deployment using copies of the first version of the application and the second version of the application.

Abstract: Techniques for configuring an asynchronous task queue are disclosed. An example method includes enqueuing, by at least one hardware processor of a first computing node, a task in a task queue. The at least one hardware processor detects a lease request for the task. The lease request is received from a second computing node. The at least one hardware processor initiates a lease of the task to the second computing node. The at least one hardware processor updates a state of the task based on the lease. The at least one hardware processor determines whether to dequeue the task based on a task processing update received from the second computing node.

Abstract: A method includes decoding, by at least one hardware processor, an enqueue request received from a data process of a database system. The enqueue request includes a task. The task is enqueued in an in-memory task queue. An enqueue acknowledgment is encoded for transmission to the data process responsive to the enqueue request. The task is persisted in a storage location associated with the in-memory task queue. Initiate a lease of the task to a worker node in response to a lease request received from the worker node. A dequeue request is received from the worker node where the dequeue request indicates completion of the task by the worker node. The task is dequeued from the in-memory task queue based on the dequeue request.

Abstract: The subject disclosure is directed towards components in different server clusters, e.g., comprising software components such as components of a distributed computing system. Components are available for use by distributed computing system applications, yet managed by the distributed computing system runtime such that only a single instance can be activated and exist within communicating (non-partitioned) clusters. Also described is recovery from a situation in which no longer partitioned clusters each have created the same component.

Abstract: Technologies are described herein for event delivery and stream processing utilizing virtual processing agents. Upon receiving an event publication in a queue, a runtime system identifies one or more virtual processing agents that might be interested in, but have not explicitly subscribed to, the published event. Event information of the published event is then delivered to the identified virtual processing agents. Prior to the actual delivery, the runtime system further determines if the virtual processing agents have been activated and activates those processing agents that have not been activated. Based on the received event information, some of the virtual processing agents might decide to explicitly submit subscriptions to receive more events from the queue. The explicit subscriptions will trigger the runtime system to deliver the subscribed events to the processing agents, which might include past events that have been published in the queue before the explicit subscription is received.

Abstract: Described herein are various technologies pertaining to predicting an amount of electrical power that is to be generated by a power system at a future point in time, wherein the power system utilizes a renewable energy resource to generate electrical power. A camera is positioned to capture an image of sky over a geographic region of interest. The image is analyzed to predict an amount of solar radiation that is to be received by the power source at a future point in time. The predicted solar radiation is used to predict an amount of electrical power that will be output by the power system at the future point in time. A computational resource of a data center that is powered by way of the power source is managed as a function of the predicted amount of power.

Abstract: The subject disclosure is directed towards components in different server clusters, e.g., comprising software components such as components of a distributed computing system. Components are available for use by distributed computing system applications, yet managed by the distributed computing system runtime such that only a single instance can be activated and exist within communicating (non-partitioned) clusters. Also described is recovery from a situation in which no longer partitioned clusters each have created the same component.

Abstract: The subject disclosure is directed towards components in different server clusters, e.g., comprising software components such as components of a distributed computing system. Components are available for use by distributed computing system applications, yet managed by the distributed computing system runtime such that only a single instance can be activated and exist within communicating (non-partitioned) clusters. Also described is recovery from a situation in which no longer partitioned clusters each have created the same component.

Abstract: Technologies are described herein for event delivery and stream processing utilizing virtual processing agents. Upon receiving an event publication in a queue, a runtime system identifies one or more virtual processing agents that might be interested in, but have not explicitly subscribed to, the published event. Event information of the published event is then delivered to the identified virtual processing agents. Prior to the actual delivery, the runtime system further determines if the virtual processing agents have been activated and activates those processing agents that have not been activated. Based on the received event information, some of the virtual processing agents might decide to explicitly submit subscriptions to receive more events from the queue. The explicit subscriptions will trigger the runtime system to deliver the subscribed events to the processing agents, which might include past events that have been published in the queue before the explicit subscription is received.

Abstract: Technologies are described herein for event delivery and stream processing utilizing virtual processing agents. Upon receiving an event publication in a queue, a runtime system identifies one or more virtual processing agents that might be interested in, but have not explicitly subscribed to, the published event. Event information of the published event is then delivered to the identified virtual processing agents. Prior to the actual delivery, the runtime system further determines if the virtual processing agents have been activated and activates those processing agents that have not been activated. Based on the received event information, some of the virtual processing agents might decide to explicitly submit subscriptions to receive more events from the queue. The explicit subscriptions will trigger the runtime system to deliver the subscribed events to the processing agents, which might include past events that have been published in the queue before the explicit subscription is received.

Abstract: The subject disclosure is directed towards components in different server clusters, e.g., comprising software components such as components of a distributed computing system. Components are available for use by distributed computing system applications, yet managed by the distributed computing system runtime such that only a single instance can be activated and exist within communicating (non-partitioned) clusters. Also described is recovery from a situation in which no longer partitioned clusters each have created the same component.

Abstract: The subject disclosure is directed towards components in different server clusters, e.g., comprising software components such as components of a distributed computing system. Components are available for use by distributed computing system applications, yet managed by the distributed computing system runtime such that only a single instance can be activated and exist within communicating (non-partitioned) clusters. Also described is recovery from a situation in which no longer partitioned clusters each have created the same component.

Abstract: Described herein are various technologies pertaining to predicting an amount of electrical power that is to be generated by a power system at a future point in time, wherein the power system utilizes a renewable energy resource to generate electrical power. A camera is positioned to capture an image of sky over a geographic region of interest. The image is analyzed to predict an amount of solar radiation that is to be received by the power source at a future point in time. The predicted solar radiation is used to predict an amount of electrical power that will be output by the power system at the future point in time. A computational resource of a data center that is powered by way of the power source is managed as a function of the predicted amount of power.

Abstract: Described herein are various technologies pertaining to predicting an amount of electrical power that is to be generated by a power system at a future point in time, wherein the power system utilizes a renewable energy resource to generate electrical power. A camera is positioned to capture an image of sky over a geographic region of interest. The image is analyzed to predict an amount of solar radiation that is to be received by the power source at a future point in time. The predicted solar radiation is used to predict an amount of electrical power that will be output by the power system at the future point in time. A computational resource of a data center that is powered by way of the power source is managed as a function of the predicted amount of power.

Abstract: The subject disclosure is directed towards virtual components, e.g., comprising software components such as virtual components of a distributed computing system. Virtual components are available for use by distributed computing system applications, yet managed by the distributed computing system runtime transparent to the application with respect to automatic activation and deactivation on runtime-selected distributed computing system servers. Virtualization of virtual components is based upon mapping virtual components to their physical instantiations that are currently running, such as maintained in a global data store.

Abstract: The subject disclosure is directed towards components in different server clusters, e.g., comprising software components such as components of a distributed computing system. Components are available for use by distributed computing system applications, yet managed by the distributed computing system runtime such that only a single instance can be activated and exist within communicating (non-partitioned) clusters. Also described is recovery from a situation in which no longer partitioned clusters each have created the same component.

Abstract: Technologies are described herein for event delivery and stream processing utilizing virtual processing agents. Upon receiving an event publication in a queue, a runtime system identifies one or more virtual processing agents that might be interested in, but have not explicitly subscribed to, the published event. Event information of the published event is then delivered to the identified virtual processing agents. Prior to the actual delivery, the runtime system further determines if the virtual processing agents have been activated and activates those processing agents that have not been activated. Based on the received event information, some of the virtual processing agents might decide to explicitly submit subscriptions to receive more events from the queue. The explicit subscriptions will trigger the runtime system to deliver the subscribed events to the processing agents, which might include past events that have been published in the queue before the explicit subscription is received.

Abstract: Described herein are various technologies pertaining to predicting an amount of electrical power that is to be generated by a power system at a future point in time, wherein the power system utilizes a renewable energy resource to generate electrical power. A camera is positioned to capture an image of sky over a geographic region of interest. The image is analyzed to predict an amount of solar radiation that is to be received by the power source at a future point in time. The predicted solar radiation is used to predict an amount of electrical power that will be output by the power system at the future point in time. A computational resource of a data center that is powered by way of the power source is managed as a function of the predicted amount of power.

Abstract: Described herein are various technologies pertaining to predicting an amount of electrical power that is to be generated by a power system at a future point in time, wherein the power system utilizes a renewable energy resource to generate electrical power. A camera is positioned to capture an image of sky over a geographic region of interest. The image is analyzed to predict an amount of solar radiation that is to be received by the power source at a future point in time. The predicted solar radiation is used to predict an amount of electrical power that will be output by the power system at the future point in time. A computational resource of a data center that is powered by way of the power source is managed as a function of the predicted amount of power.

Abstract: The subject disclosure is directed towards virtual components, e.g., comprising software components such as virtual components of a distributed computing system. Virtual components are available for use by distributed computing system applications, yet managed by the distributed computing system runtime transparent to the application with respect to automatic activation and deactivation on runtime-selected distributed computing system servers. Virtualization of virtual components is based upon mapping virtual components to their physical instantiations that are currently running, such as maintained in a global data store.