Abstract: Techniques for capturing and recording processor events and scheduler data in a production system on a per processing resource basis are discussed herein. In some examples, a process metric collection component may be associated with the scheduler and the processing resource such that the process metric collection component can capture real time data associated with the processes or threads both executed by the processing resource and waiting to execute on the processing resource. The captured data may be used by the system to monitor operations.

Abstract: Performance anomalies in complex systems can be difficult to identify and diagnose. In an example, CPU-usage associated with one or more of the systems can be determined. An anomalous event can be determined based on the determined CPU-usage. In some examples, based at least in part on determining the event, the system may be controlled in a safe state and/or reconfigured to obviate the anomalous event.

Abstract: Performance anomalies in complex systems can be difficult to identify and diagnose. In an example, CPU-usage associated with one or more of the systems can be determined. An anomalous event can be determined based on the determined CPU-usage. In some examples, based at least in part on determining the event, the system may be controlled in a safe state and/or reconfigured to obviate the anomalous event.

Abstract: Performance anomalies in complex systems can be difficult to identify and diagnose. In an example, latency associated with one or more of the systems can be determined. An anomalous event can be determined based on the determined latency. In some examples, based at least in part on determining the event, the system may be controlled in a safe state and/or reconfigured to obviate the anomaly.

Abstract: Performance anomalies in complex systems can be difficult to identify and diagnose. In an example, CPU-usage associated with one or more of the systems can be determined. An anomalous event can be determined based on the determined CPU-usage. In some examples, based at least in part on determining the event, the system may be controlled in a safe state and/or reconfigured to obviate the anomalous event.

Abstract: Performance anomalies in complex systems can be difficult to identify and diagnose. In an example, latency associated with one or more of the systems can be determined. An anomalous event can be determined based on the determined latency. In some examples, based at least in part on determining the event, the system may be controlled in a safe state and/or reconfigured to obviate the anomaly.