Events OS Metrics: Difference between revisions
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==CpuUserTime== | ==CpuUserTime== | ||
The percentage of total CPU time spent executing code in user mode. | The percentage of total CPU time spent executing code in user mode. By default, this metric is calculated based on subsequent values read from[[/proc/stat#user|/proc/stat]] during two subsequent collections. It is also possible to get the value from the top command output, but this has to be configured explicitly. | ||
Also see: | Also see: | ||
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==CpuNiceTime== | ==CpuNiceTime== | ||
The percentage of total CPU time spent executing code in user mode with low priority (nice). | The percentage of total CPU time spent executing code in user mode with low priority (nice). By default, this metric is calculated based on subsequent values read from[[/proc/stat#nice|/proc/stat]] during two subsequent collections. It is also possible to get the value from the top command output, but this has to be configured explicitly. | ||
Also see: | Also see: | ||
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* [https://github.com/NovaOrdis/events-api/blob/master/src/main/java/io/novaordis/events/api/metric/os/mdefs/CpuNiceTime.java GitHub CpuNiceTime] | * [https://github.com/NovaOrdis/events-api/blob/master/src/main/java/io/novaordis/events/api/metric/os/mdefs/CpuNiceTime.java GitHub CpuNiceTime] | ||
== | ==CpuSystemTime== | ||
The percentage of total CPU time spent executing system calls on behalf of processes. | The percentage of total CPU time spent executing system calls on behalf of processes. The metric was used to be named <span id='CpuKernelTime'></span>"CpuKernelTime", but the name was deprecated. By default, this metric is calculated based on subsequent values read from[[/proc/stat#system|/proc/stat]] during two subsequent collections. It is also possible to get the value from the top command output, but this has to be configured explicitly. | ||
Also see: | Also see: | ||
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==CpuIdleTime== | ==CpuIdleTime== | ||
The percentage of total CPU time spent in idle mode. | The percentage of total CPU time spent in idle mode. By default, this metric is calculated based on subsequent values read from[[/proc/stat#idle|/proc/stat]] during two subsequent collections. It is also possible to get the value from the top command output, but this has to be configured explicitly. | ||
Also see: | Also see: | ||
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==CpuIoWaitTime== | ==CpuIoWaitTime== | ||
The percentage of total CPU time spent waiting for I/O to complete. The CPU will not wait for IO, it will be schedule onto another task or will enter idle state. When a CPU goes into idle state for outstanding task I/O, another task will be scheduled on this CPU. On a multi-core CPU, the task waiting for I/O to complete is not running on any CPU, so the iowait of each CPU is difficult to calculate. | The percentage of total CPU time spent waiting for I/O to complete. The CPU will not wait for IO, it will be schedule onto another task or will enter idle state. When a CPU goes into idle state for outstanding task I/O, another task will be scheduled on this CPU. On a multi-core CPU, the task waiting for I/O to complete is not running on any CPU, so the iowait of each CPU is difficult to calculate. By default, this metric is calculated based on subsequent values read from[[/proc/stat#iowait|/proc/stat]] during two subsequent collections. It is also possible to get the value from the top command output, but this has to be configured explicitly. | ||
Also see: | Also see: | ||
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==CpuHardwareInterruptTime== | ==CpuHardwareInterruptTime== | ||
The percentage of total CPU time spent servicing hardware interrupts. | The percentage of total CPU time spent servicing hardware interrupts. By default, this metric is calculated based on subsequent values read from[[/proc/stat#irq|/proc/stat]] during two subsequent collections. It is also possible to get the value from the top command output, but this has to be configured explicitly. | ||
Also see: | Also see: | ||
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==CpuSoftwareInterruptTime== | ==CpuSoftwareInterruptTime== | ||
The percentage of total CPU time spent servicing software interrupts. | The percentage of total CPU time spent servicing software interrupts. By default, this metric is calculated based on subsequent values read from[[/proc/stat#softirq|/proc/stat]] during two subsequent collections. It is also possible to get the value from the top command output, but this has to be configured explicitly. | ||
Also see: | Also see: | ||
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==CpuStolenTime== | ==CpuStolenTime== | ||
The percentage of total CPU time spent in other operating systems when running in a virtualized environment. More details: {{Internal|Linux_Virtualization_Concepts#Steal_Time|Steal Time}} | The percentage of total CPU time spent in other operating systems when running in a virtualized environment. More details: {{Internal|Linux_Virtualization_Concepts#Steal_Time|Steal Time}}. By default, this metric is calculated based on subsequent values read from[[/proc/stat#steal|/proc/stat]] during two subsequent collections. It is also possible to get the value from the top command output, but this has to be configured explicitly. | ||
Also see: | Also see: | ||
* [[/proc/stat#steal|/proc/stat cpu steal time reading]] | * [[/proc/stat#steal|/proc/stat cpu steal time reading]] | ||
* [https://github.com/NovaOrdis/events-api/blob/master/src/main/java/io/novaordis/events/api/metric/os/mdefs/CpuStolenTime.java GitHub CpuStolenTime] | * [https://github.com/NovaOrdis/events-api/blob/master/src/main/java/io/novaordis/events/api/metric/os/mdefs/CpuStolenTime.java GitHub CpuStolenTime] | ||
==CpuGuestTime== | |||
The percentage of total CPU time spent running a virtual CPU for guest operating systems under the control of the Linux kernel. By default, this metric is calculated based on subsequent values read from[[/proc/stat#guest|/proc/stat]] during two subsequent collections. It is also possible to get the value from the top command output, but this has to be configured explicitly. | |||
Also see: | |||
* [[/proc/stat#guest|/proc/stat cpu guest time reading]] | |||
==CpuGuestNiceTime== | |||
The percentage of total CPU time spent running a virtual CPU for niced guest operating systems under the control of the Linux kernel. By default, this metric is calculated based on subsequent values read from[[/proc/stat#guest_nice|/proc/stat]] during two subsequent collections. It is also possible to get the value from the top command output, but this has to be configured explicitly. | |||
Also see: | |||
* [[/proc/stat#guest_nice|/proc/stat cpu guest_nice time reading]] | |||
=Memory Metrics= | =Memory Metrics= | ||
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==SwapUsed== | ==SwapUsed== | ||
The amount of swap used by processes can be approximated with the formula: | |||
Used Swap = SwapTotal - SwapFree | |||
Also see: | Also see: | ||
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Also see: | Also see: | ||
* [https://github.com/NovaOrdis/events-api/blob/master/src/main/java/io/novaordis/events/api/metric/os/mdefs/LoadAverageLastMinute.java GitHub LoadAverageLastMinute] | * [https://github.com/NovaOrdis/events-api/blob/master/src/main/java/io/novaordis/events/api/metric/os/mdefs/LoadAverageLastMinute.java GitHub LoadAverageLastMinute] | ||
==LoadAverageLastFiveMinutes== | ==LoadAverageLastFiveMinutes== | ||
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Also see: | Also see: | ||
* [https://github.com/NovaOrdis/events-api/blob/master/src/main/java/io/novaordis/events/api/metric/os/mdefs/LoadAverageLastFiveMinutes.java GitHub LoadAverageLastFiveMinutes] | * [https://github.com/NovaOrdis/events-api/blob/master/src/main/java/io/novaordis/events/api/metric/os/mdefs/LoadAverageLastFiveMinutes.java GitHub LoadAverageLastFiveMinutes] | ||
==LoadAverageLastTenMinutes== | ==LoadAverageLastTenMinutes== | ||
Latest revision as of 14:17, 22 September 2017
Internal
Overview
CPU Metrics
CpuUserTime
The percentage of total CPU time spent executing code in user mode. By default, this metric is calculated based on subsequent values read from/proc/stat during two subsequent collections. It is also possible to get the value from the top command output, but this has to be configured explicitly.
Also see:
CpuNiceTime
The percentage of total CPU time spent executing code in user mode with low priority (nice). By default, this metric is calculated based on subsequent values read from/proc/stat during two subsequent collections. It is also possible to get the value from the top command output, but this has to be configured explicitly.
Also see:
CpuSystemTime
The percentage of total CPU time spent executing system calls on behalf of processes. The metric was used to be named "CpuKernelTime", but the name was deprecated. By default, this metric is calculated based on subsequent values read from/proc/stat during two subsequent collections. It is also possible to get the value from the top command output, but this has to be configured explicitly.
Also see:
CpuIdleTime
The percentage of total CPU time spent in idle mode. By default, this metric is calculated based on subsequent values read from/proc/stat during two subsequent collections. It is also possible to get the value from the top command output, but this has to be configured explicitly.
Also see:
CpuIoWaitTime
The percentage of total CPU time spent waiting for I/O to complete. The CPU will not wait for IO, it will be schedule onto another task or will enter idle state. When a CPU goes into idle state for outstanding task I/O, another task will be scheduled on this CPU. On a multi-core CPU, the task waiting for I/O to complete is not running on any CPU, so the iowait of each CPU is difficult to calculate. By default, this metric is calculated based on subsequent values read from/proc/stat during two subsequent collections. It is also possible to get the value from the top command output, but this has to be configured explicitly.
Also see:
CpuHardwareInterruptTime
The percentage of total CPU time spent servicing hardware interrupts. By default, this metric is calculated based on subsequent values read from/proc/stat during two subsequent collections. It is also possible to get the value from the top command output, but this has to be configured explicitly.
Also see:
CpuSoftwareInterruptTime
The percentage of total CPU time spent servicing software interrupts. By default, this metric is calculated based on subsequent values read from/proc/stat during two subsequent collections. It is also possible to get the value from the top command output, but this has to be configured explicitly.
Also see:
CpuStolenTime
The percentage of total CPU time spent in other operating systems when running in a virtualized environment. More details:
. By default, this metric is calculated based on subsequent values read from/proc/stat during two subsequent collections. It is also possible to get the value from the top command output, but this has to be configured explicitly.
Also see:
CpuGuestTime
The percentage of total CPU time spent running a virtual CPU for guest operating systems under the control of the Linux kernel. By default, this metric is calculated based on subsequent values read from/proc/stat during two subsequent collections. It is also possible to get the value from the top command output, but this has to be configured explicitly.
Also see:
CpuGuestNiceTime
The percentage of total CPU time spent running a virtual CPU for niced guest operating systems under the control of the Linux kernel. By default, this metric is calculated based on subsequent values read from/proc/stat during two subsequent collections. It is also possible to get the value from the top command output, but this has to be configured explicitly.
Also see:
Memory Metrics
PhysicalMemoryFree
The amount of physical RAM, left unused by the system.
Also see:
PhysicalMemoryTotal
Total amount of usable RAM, which is the amount of physical RAM installed on the system minus a number of reserved bits and the kernel binary code.
Also see:
PhysicalMemoryUsed
The amount of physical memory used by processes. It is calculated with the formula:
Used Physical Memory = MemTotal - MemFree - Buffers - Cached
Also see:
Swap Metrics
SwapFree
The total amount of free swap.
Also see:
SwapTotal
The total amount of swap available.
Also see:
SwapUsed
The amount of swap used by processes can be approximated with the formula:
Used Swap = SwapTotal - SwapFree
Also see:
Load Average Metrics
LoadAverageLastMinute
Also see:
LoadAverageLastFiveMinutes
Also see:
LoadAverageLastTenMinutes
Also see: