AUTOMATIC SCOPE CONFIGURATION OF MONITORING AGENTS FOR TRACKING MISSING EVENTS AT RUNTIME

    公开(公告)号:US20220083404A1

    公开(公告)日:2022-03-17

    申请号:US17023526

    申请日:2020-09-17

    Abstract: In one embodiment, a device receives, from a monitoring agent that monitors an application, an indication that the monitoring agent did not capture information regarding a particular event during execution of the application. The device determines that the particular event is of a relevant event type that should be tracked. The device generates a configuration for the monitoring agent that adjusts a monitoring scope of the monitoring agent so as to capture information regarding the particular event. The device causes the monitoring agent to be updated with the configuration, wherein the monitoring agent captures information regarding the particular event after being updated with the configuration.

    Automatic configuration of software systems for optimal management and performance using machine learning

    公开(公告)号:US11200139B2

    公开(公告)日:2021-12-14

    申请号:US16744523

    申请日:2020-01-16

    Abstract: In one embodiment, information (workload, performance, and configuration) is obtained about identified sub-systems (a target component plus other components that influence its performance). The identified sub-systems are clustered into workload clusters and also into performance clusters, where identified sub-systems of particular workload clusters have similar workload measurements, and identified sub-systems of particular performance clusters have similar performance metrics. The techniques herein then determine a given mapped performance cluster for a given workload cluster that corresponds to a best set of performance metrics from among all performance clusters mapped to the given workload cluster. A configuration change recommendation is then generated for a given identified sub-system of the given workload cluster that is not within the given mapped performance cluster corresponding to the best set of performance metrics based on configuration information about each identified sub-system within the given mapped performance cluster that corresponds to the best set of performance metrics.

    Automatic scope configuration of monitoring agents for tracking missing events at runtime

    公开(公告)号:US11327817B2

    公开(公告)日:2022-05-10

    申请号:US17023526

    申请日:2020-09-17

    Abstract: In one embodiment, a device receives, from a monitoring agent that monitors an application, an indication that the monitoring agent did not capture information regarding a particular event during execution of the application. The device determines that the particular event is of a relevant event type that should be tracked. The device generates a configuration for the monitoring agent that adjusts a monitoring scope of the monitoring agent so as to capture information regarding the particular event. The device causes the monitoring agent to be updated with the configuration, wherein the monitoring agent captures information regarding the particular event after being updated with the configuration.

    AUTOMATIC CONFIGURATION OF SOFTWARE SYSTEMS FOR OPTIMAL MANAGEMENT AND PERFORMANCE USING MACHINE LEARNING

    公开(公告)号:US20210224178A1

    公开(公告)日:2021-07-22

    申请号:US16744523

    申请日:2020-01-16

    Abstract: In one embodiment, information (workload, performance, and configuration) is obtained about identified sub-systems (a target component plus other components that influence its performance). The identified sub-systems are clustered into workload clusters and also into performance clusters, where identified sub-systems of particular workload clusters have similar workload measurements, and identified sub-systems of particular performance clusters have similar performance metrics. The techniques herein then determine a given mapped performance cluster for a given workload cluster that corresponds to a best set of performance metrics from among all performance clusters mapped to the given workload cluster. A configuration change recommendation is then generated for a given identified sub-system of the given workload cluster that is not within the given mapped performance cluster corresponding to the best set of performance metrics based on configuration information about each identified sub-system within the given mapped performance cluster that corresponds to the best set of performance metrics.

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