Abstract: Systems and methods for managing overloaded machines in a virtual environment are provided. A device can include one or more processors, coupled to memory. The device can receive, for time intervals, a metric of performance of hardware of a machine hosting sessions between clients. The device can identify, for the time intervals, a plurality of scores indicative of performance of the corresponding plurality of sessions.

Abstract: Methods and systems for providing data analytics and generating real-time and historical views of network events using a single processing pipeline, managed by a single code base, are presented. A computing device may receive a stream of data indicative of a plurality of events occurring on a network. The computing device may process the stream of data to generate intermediate data and batch data using the single processing pipeline. The intermediate data may be available to generate historical views and the batch data may include a plurality of intermediate data for a time interval. The computing device may generate a historical view of the events based on a subset of intermediate data and the batch data. Finally, the computing device may provide the historical view to a processing layer to enable the computing device to respond to requests for information about the network.

Abstract: Described are systems and methods of detecting processes causing degradation of machine performance using heuristics. A device may identify a plurality of time intervals having a use of a resource on a machine above a threshold. The device may identify a percentage of the use of the resource by each of a plurality processes on the machine using the resource during each time interval of the plurality of time intervals. The device may determine a score for each process of the plurality processes based at least on a function of the percentage of the use of the resource over one or more of the plurality of time intervals in which each process used the resource. The device may provide, for display, a selection of one or more processes from the plurality of processes ranked by the score.

Abstract: Described embodiments provide systems and methods for generating visualizations of data based on correlation measures and search history. An analysis engine may access data observed from a data source over time. The analysis engine may determine a variation of each of at least a first metric and a second metric of the data, over time. A correlation engine may determine a correlation measure between the first metric and a second metric, over time. The correlation engine may generate, responsive to the correlation measure being greater than a reference level, a visualization of the first metric and the second metric varying in time, on a device to display to a user.

Abstract: Described embodiments provide systems and method for determining action insights to address, correct or fix application failures. A device can identify an assignment of a user to a virtual machine and the assignment can enable launch of an application with use of the same virtual machine on behalf of the user. The virtual machine can be one of a delivery group of virtual machines. A threshold can be determined for the virtual machine that indicates a likely failure of the virtual machine to launch the application based data about performance of the delivery group. The device can modify the assignment of a user from the virtual machine to another virtual machine of the delivery group based on a comparison of a load on the virtual machine and the determined threshold, so as to avoid failure of the application to launch.

Abstract: Methods and systems for providing data analytics and generating real-time and historical views of network events using a single processing pipeline, managed by a single code base, are presented. A computing device may receive a stream of data indicative of a plurality of events occurring on a network. The computing device may process the stream of data to generate intermediate data and batch data using the single processing pipeline. The intermediate data may be available to generate historical views and the batch data may include a plurality of intermediate data for a time interval. The computing device may generate a historical view of the events based on a subset of intermediate data and the batch data. Finally, the computing device may provide the historical view to a processing layer to enable the computing device to respond to requests for information about the network.

Abstract: Methods and systems for providing data analytics and generating real-time and historical views of network events using a single processing pipeline, managed by a single code base, are presented. A computing device may receive a stream of data indicative of a plurality of events occurring on a network. The computing device may process the stream of data to generate intermediate data and batch data using the single processing pipeline. The intermediate data may be available to generate historical views and the batch data may include a plurality of intermediate data for a time interval. The computing device may generate a historical view of the events based on a subset of intermediate data and the batch data. Finally, the computing device may provide the historical view to a processing layer to enable the computing device to respond to requests for information about the network.

Abstract: Described embodiments provide systems and methods for generating visualizations of data based on correlation measures and search history. An analysis engine may access data observed from a data source over time. The analysis engine may determine a variation of each of at least a first metric and a second metric of the data, over time. A correlation engine may determine a correlation measure between the first metric and a second metric, over time. The correlation engine may generate, responsive to the correlation measure being greater than a reference level, a visualization of the first metric and the second metric varying in time, on a device to display to a user.

Abstract: Methods and systems for providing data analytics and generating real-time and historical views of network events using a single processing pipeline, managed by a single code base, are presented. A computing device may receive a stream of data indicative of a plurality of events occurring on a network. The computing device may process the stream of data to generate intermediate data and batch data using the single processing pipeline. The intermediate data may be available to generate historical views and the batch data may include a plurality of intermediate data for a time interval. The computing device may generate a historical view of the events based on a subset of intermediate data and the batch data. Finally, the computing device may provide the historical view to a processing layer to enable the computing device to respond to requests for information about the network.