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这里说明了腾讯云TI NOTEBOOK相关的监控指标及查询参数说明。包括命名空间、各维度对应参数总览以及入参说明。入参说明: 详细说明了查询 NOTEBOOK 指标监控数据时的取值，包括命名空间、账号 ID、子账号 ID、开发机 ID 以及开发机实例使用的 GPU 卡号等参数的具体设置方式。

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一、命名空间

Namespace = QCE/TI_NOTEBOOK

二、监控指标

指标英文名 指标中文名 说明 单位 维度 统计规则
[period, statType]
CfsClientDataReadBandwidth turocfs 单节点服务端读带宽 turocfs 单节点服务端读带宽 KBytes/s AppIdInstanceIdSubUin [ 10s, avg ]
[ 60s, avg ]
[ 300s, avg ]
[ 3600s, avg ]
[ 86400s, avg ]
CfsClientDataWriteBandwidth turocfs 单节点服务端写带宽 turocfs 单节点服务端写带宽 KBytes/s AppIdInstanceIdSubUin [ 10s, avg ]
[ 60s, avg ]
[ 300s, avg ]
[ 3600s, avg ]
[ 86400s, avg ]
CfsDataReadIoBytes cfs 服务端读带宽 cfs 服务端读带宽 KBytes/s AppIdInstanceIdSubUin [ 10s, avg ]
[ 60s, avg ]
[ 300s, avg ]
[ 3600s, avg ]
[ 86400s, avg ]
CfsDataReadIoLatency cfs 读延迟 cfs 读延迟 ms AppIdInstanceIdSubUin [ 10s, avg ]
[ 60s, avg ]
[ 300s, avg ]
[ 3600s, avg ]
[ 86400s, avg ]
CfsDataWriteIoBytes cfs 服务端写带宽 cfs 服务端写带宽 KBytes/s AppIdInstanceIdSubUin [ 10s, avg ]
[ 60s, avg ]
[ 300s, avg ]
[ 3600s, avg ]
[ 86400s, avg ]
CfsDataWriteIoLatency cfs 写延迟 cfs 写延迟 ms AppIdInstanceIdSubUin [ 10s, avg ]
[ 60s, avg ]
[ 300s, avg ]
[ 3600s, avg ]
[ 86400s, avg ]
CfsStrageUsageGb cfs 存储数据容量 cfs 存储数据容量 GBytes AppIdInstanceIdSubUin [ 10s, avg ]
[ 60s, avg ]
[ 300s, avg ]
[ 3600s, avg ]
[ 86400s, avg ]
DiskIoUtil 磁盘 ioutil 磁盘 ioutil % AppIdInstanceIdSubUin [ 10s, avg ]
[ 60s, avg ]
[ 300s, avg ]
[ 3600s, avg ]
[ 86400s, avg ]
DiskIoWait 磁盘 iowait 磁盘 iowait % AppIdInstanceIdSubUin [ 10s, avg ]
[ 60s, avg ]
[ 300s, avg ]
[ 3600s, avg ]
[ 86400s, avg ]
DiskReadByte 磁盘读取带宽 磁盘读取带宽 MBytes/s AppIdInstanceIdSubUin [ 10s, avg ]
[ 60s, avg ]
[ 300s, avg ]
[ 3600s, avg ]
[ 86400s, avg ]
DiskReadIops 磁盘读取 iops 磁盘读取 iops Count AppIdInstanceIdSubUin [ 10s, avg ]
[ 60s, avg ]
[ 300s, avg ]
[ 3600s, avg ]
[ 86400s, avg ]
DiskUsageRadio 系统盘分区利用率 系统盘分区利用率 % AppIdInstanceIdSubUin [ 10s, avg ]
[ 60s, avg ]
[ 300s, avg ]
[ 3600s, avg ]
[ 86400s, avg ]
DiskWriteByte 磁盘写入带宽 磁盘写入带宽 MBytes/s AppIdInstanceIdSubUin [ 10s, avg ]
[ 60s, avg ]
[ 300s, avg ]
[ 3600s, avg ]
[ 86400s, avg ]
DiskWriteIops 磁盘写入 iops 磁盘写入 iops Count AppIdInstanceIdSubUin [ 10s, avg ]
[ 60s, avg ]
[ 300s, avg ]
[ 3600s, avg ]
[ 86400s, avg ]
Instancecpuutil CPU 利用率 CPU 利用率 % AppIdInstanceIdSubUin [ 10s, avg ]
[ 60s, avg ]
[ 300s, avg ]
[ 3600s, avg ]
[ 86400s, avg ]
Instancegpumemutil GPU 显存利用率 GPU 显存利用率 % AppIdInstanceIdSubUin [ 10s, avg ]
[ 60s, avg ]
[ 300s, avg ]
[ 3600s, avg ]
[ 86400s, avg ]
Instancegpumemvalue 显存使用量 显存使用量 MBytes AppIdInstanceIdSubUin [ 10s, avg ]
[ 60s, avg ]
[ 300s, avg ]
[ 3600s, avg ]
[ 86400s, avg ]
Instancegpuutil GPU 利用率 GPU 利用率 % AppIdInstanceIdSubUin [ 10s, avg ]
[ 60s, avg ]
[ 300s, avg ]
[ 3600s, avg ]
[ 86400s, avg ]
Instancememutil 内存利用率 内存利用率 % AppIdInstanceIdSubUin [ 10s, avg ]
[ 60s, avg ]
[ 300s, avg ]
[ 3600s, avg ]
[ 86400s, avg ]
Instancememvalue 内存使用量 内存使用量 MBytes AppIdInstanceIdSubUin [ 10s, avg ]
[ 60s, avg ]
[ 300s, avg ]
[ 3600s, avg ]
[ 86400s, avg ]
GpuFp16EngineActivity FP16活跃时间比 FP16活跃时间比 % AppIdInstanceGpuNumSubUin [ 10s, avg ][ 60s, avg ][ 300s, avg ][ 3600s, avg ][ 86400s, avg ]
GpuFp32EngineActivity FP32活跃时间比 FP32活跃时间比 % AppIdInstanceGpuNumSubUin [ 10s, avg ][ 60s, avg ][ 300s, avg ][ 3600s, avg ][ 86400s, avg ]
GpuFp64EngineActivity FP64活跃时间比 FP64活跃时间比 % AppIdInstanceGpuNumSubUin [ 10s, avg ][ 60s, avg ][ 300s, avg ][ 3600s, avg ][ 86400s, avg ]
NvlinkBandwidth nvlink 传输速率 nvlink 传输速率 Bytes/s AppIdInstanceGpuNumSubUin [ 10s, avg ][ 60s, avg ][ 300s, avg ][ 3600s, avg ][ 86400s, avg ]
PcieBandwidth PCIe 总线传输速率 PCIe 总线传输速率 Bytes/s AppIdInstanceGpuNumSubUin [ 10s, avg ][ 60s, avg ][ 300s, avg ][ 3600s, avg ][ 86400s, avg ]
GpuSmActivity SM 活跃状态时间比 SM 活跃状态时间比 % AppIdInstanceGpuNumSubUin [ 10s, avg ][ 60s, avg ][ 300s, avg ][ 3600s, avg ][ 86400s, avg ]
TensorActivity Tensor 活跃状态时间比 Tensor 活跃状态时间比 % AppIdInstanceGpuNumSubUin [ 10s, avg ][ 60s, avg ][ 300s, avg ][ 3600s, avg ][ 86400s, avg ]
Dcgmfidevfbused 显存使用量 显存使用量 MBytes AppIdInstanceGpuNumSubUin [ 10s, avg ][ 60s, avg ][ 300s, avg ][ 3600s, avg ][ 86400s, avg ]
DcgmFiDevGpuUtil GPU 使用率 GPU 使用率 % AppIdInstanceGpuNumSubUin [ 10s, avg ][ 60s, avg ][ 300s, avg ][ 3600s, avg ][ 86400s, avg ]
DcgmFiDevMemCopyUtil 显存使用率 显存使用率 % AppIdInstanceGpuNumSubUin [ 10s, avg ][ 60s, avg ][ 300s, avg ][ 3600s, avg ][ 86400s, avg ]
GpuMemoryClockGpu GPU 显存频率 GPU 显存频率 s AppIdInstanceGpuNumSubUin [ 10s, avg ][ 60s, avg ][ 300s, avg ][ 3600s, avg ][ 86400s, avg ]
GpuMemoryFreeGpuv GPU 显存空闲量 GPU 显存空闲量 MBytes AppIdInstanceGpuNumSubUin [ 10s, avg ][ 60s, avg ][ 300s, avg ][ 3600s, avg ][ 86400s, avg ]
GpuNvlinkRxMb nvlink 接收数据量 nvlink 接收数据量 Mbps AppIdInstanceGpuNumSubUin [ 10s, avg ][ 60s, avg ][ 300s, avg ][ 3600s, avg ][ 86400s, avg ]
GpuNvlinkTxMb nvlink 发送数据量 nvlink 发送数据量 Mbps AppIdInstanceGpuNumSubUin [ 10s, avg ][ 60s, avg ][ 300s, avg ][ 3600s, avg ][ 86400s, avg ]
GpuPcieRxMb pcie 接收数据量 pcie 接收数据量 Mbps AppIdInstanceGpuNumSubUin [ 10s, avg ][ 60s, avg ][ 300s, avg ][ 3600s, avg ][ 86400s, avg ]
GpuPcieTxMb pcie 发送数据量 pcie 发送数据量 Mbps AppIdInstanceGpuNumSubUin [ 10s, avg ][ 60s, avg ][ 300s, avg ][ 3600s, avg ][ 86400s, avg ]
GpuSmClock SM 时钟频率 SM 时钟频率 s AppIdInstanceGpuNumSubUin [ 10s, avg ][ 60s, avg ][ 300s, avg ][ 3600s, avg ][ 86400s, avg ]
PodDiskLimit 实例磁盘总量 实例磁盘总量 GBytes AppIdInstanceIdSubUin [ 10s, avg ][ 60s, avg ][ 300s, avg ][ 3600s, avg ][ 86400s, avg ]
PodDiskValue 实例磁盘使用量 实例磁盘使用量 GBytes AppIdInstanceIdSubUin [ 10s, avg ][ 60s, avg ][ 300s, avg ][ 3600s, avg ][ 86400s, avg ]
NodeDiskLimit 节点磁盘总量 节点磁盘总量 GBytes AppIdInstanceIdSubUin [ 10s, avg ][ 60s, avg ][ 300s, avg ][ 3600s, avg ][ 86400s, avg ]
NodeDiskValue 节点磁盘使用量 节点磁盘使用量 GBytes AppIdInstanceIdSubUin [ 10s, avg ][ 60s, avg ][ 300s, avg ][ 3600s, avg ][ 86400s, avg ]
RdmaInpkt RDMA 网卡入包量 RDMA 网卡入包量 pps AppIdInstanceIdSubUin [ 10s, avg ][ 60s, avg ][ 300s, avg ][ 3600s, avg ][ 86400s, avg ]
RdmaOutpkt RDMA 网卡出包量 RDMA 网卡出包量 pps AppIdInstanceIdSubUin [ 10s, avg ][ 60s, avg ][ 300s, avg ][ 3600s, avg ][ 86400s, avg ]
RdmaIntraffic RDMA 网卡接收带宽 RDMA 网卡接收带宽 Mbps AppIdInstanceIdSubUin [ 10s, avg ][ 60s, avg ][ 300s, avg ][ 3600s, avg ][ 86400s, avg ]
RdmaOuttraffic RDMA 网卡发送带宽 RDMA 网卡发送带宽 Mbps AppIdInstanceIdSubUin [ 10s, avg ][ 60s, avg ][ 300s, avg ][ 3600s, avg ][ 86400s, avg ]

三、各维度对应参数总览

参数名称 维度名称 维度解释 格式
Instances.N.Dimensions.0.Name AppId 账号基本信息 APPID 的维度名称 输入 String 类型维度名称：AppId（SDK 调用时会自动获取，无需传参）
Instances.N.Dimensions.0.Value AppId 账号基本信息 APPID 输入 ID，例如：1231231231（SDK 调用时会自动获取，无需传参）
Instances.N.Dimensions.1.Name SubUin 子账号 ID 的维度名称 输入 String 类型维度名称：SubUin
Instances.N.Dimensions.1.Value SubUin 子账号 ID 输入 ID，例如：100001231231
Instances.N.Dimensions.2.Name InstanceId 开发机 ID 的维度名称 输入 String 类型维度名称：InstanceId
Instances.N.Dimensions.2.Value InstanceId 开发机 ID 输入具体实例 ID，例如：nb-11521601712664xxxxx-9igs95i88a68
Instances.N.Dimensions.3.Name InstanceGpuNum 开发机 实例使用的 GPU 卡号（仅限 GPU 整卡任务）的维度名称 输入 String 类型维度名称：InstanceGpuNum
Instances.N.Dimensions.3.Value InstanceGpuNum 开发机 实例使用的 GPU 卡号（仅限 GPU 整卡任务） 实例 ID 拼接 GPU 卡号/avg，输入具体实例 ID，例如：nb-11521601712664xxxxx-9igs95i88a68-0

四、入参说明

查询 Notebook 指标监控数据，取值如下：

&Namespace=QCE/TI_NOTEBOOK

&Instances.N.Dimensions.0.Name=AppId

&Instances.N.Dimensions.0.Value=具体的账号 ID

&Instances.N.Dimensions.1.Name=SubUin

&Instances.N.Dimensions.1.Value=具体的子账号 ID

&Instances.N.Dimensions.2.Name=InstanceId

&Instances.N.Dimensions.2.Value=开发机 ID

&Instances.N.Dimensions.3.Name=InstanceGpuNum

&Instances.N.Dimensions.3.Value=开发机 实例使用的 GPU 卡号

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