![]() ![]() Total Physical Memory: Monitor the amount of total physical memory in megabytes being used by your system over time.The following memory usage metrics are available: You can monitor your system’s overall memory consumption and utilization by process and host. This metric is reported as a percentage representing the time spent in the specified CPU component divided by total elapsed CPU time. This includes the user component (for running application code) and system component (for running kernel code). CPU Utilization: Analyze the amount of processing resources being utilized over time by different components of the CPU.This metric is represented as total elapsed time in seconds. This includes user (time running application code) and system (time spent in the operating system). CPU Time: Track the amount of time being spent in different states of the CPU.The following CPU usage metrics are available: With CPU runtime metrics, you can monitor CPU usage by examining user and system CPU utilization, and also see time spent in different components of the CPU. This includes metrics related to CPU usage, memory usage, and garbage collection. The Python agent records runtime metrics to allow you to analyze the performance of your Python processes and interpreter. ![]()
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