tencent cloud

Dev Machines
Last updated:2025-05-26 17:06:15
Dev Machines
Last updated: 2025-05-26 17:06:15

Namespace

Namespace = QCE/TI_NOTEBOOK

Monitoring Metrics

Metric Name
Metric Meaning
Description
Unit
Dimension
Statistical Rule
[period, statType]
CfsClientDataReadBandwidth
turocfs single-node server read bandwidth
turocfs single-node server read bandwidth
KBytes/s
AppId
InstanceId
SubUin
[ 10s, avg ]
[ 60s, avg ]
[ 300s, avg ]
[ 3600s, avg ]
[ 86400s, avg ]
CfsClientDataWriteBandwidth
turocfs single-node server write bandwidth
turocfs single-node server write bandwidth
KBytes/s
AppId
InstanceId
SubUin
[ 10s, avg ]
[ 60s, avg ]
[ 300s, avg ]
[ 3600s, avg ]
[ 86400s, avg ]
CfsDataReadIoBytes
cfs server read bandwidth
cfs Server Read Bandwidth
KBytes/s
AppId
InstanceId
SubUin
[ 10s, avg ]
[ 60s, avg ]
[ 300s, avg ]
[ 3600s, avg ]
[ 86400s, avg ]
CfsDataReadIoLatency
cfs Read Latency
cfs Read Latency
ms
AppId
InstanceId
SubUin
[ 10s, avg ]
[ 60s, avg ]
[ 300s, avg ]
[ 3600s, avg ]
[ 86400s, avg ]
CfsDataWriteIoBytes
cfs Server Write Bandwidth
cfs Server Write Bandwidth
KBytes/s
AppId
InstanceId
SubUin
[ 10s, avg ]
[ 60s, avg ]
[ 300s, avg ]
[ 3600s, avg ]
[ 86400s, avg ]
CfsDataWriteIoLatency
cfs Write Latency
cfs Write Latency
ms
AppId
InstanceId
SubUin
[ 10s, avg ]
[ 60s, avg ]
[ 300s, avg ]
[ 3600s, avg ]
[ 86400s, avg ]
CfsStrageUsageGb
cfs storage data capacity
cfs storage data capacity
GBytes
AppId
InstanceId
SubUin
[ 10s, avg ]
[ 60s, avg ]
[ 300s, avg ]
[ 3600s, avg ]
[ 86400s, avg ]
DiskIoUtil
Disk ioutil
Disk ioutil
%
AppId
InstanceId
SubUin
[ 10s, avg ]
[ 60s, avg ]
[ 300s, avg ]
[ 3600s, avg ]
[ 86400s, avg ]
DiskIoWait
Disk iowait
Disk iowait
%
AppId
InstanceId
SubUin
[ 10s, avg ]
[ 60s, avg ]
[ 300s, avg ]
[ 3600s, avg ]
[ 86400s, avg ]
DiskReadByte
Disk Read Bandwidth
Disk Read Bandwidth
MBytes/s
AppId
InstanceId
SubUin
[ 10s, avg ]
[ 60s, avg ]
[ 300s, avg ]
[ 3600s, avg ]
[ 86400s, avg ]
DiskReadIops
Disk read iops
Disk read iops
Count
AppId
InstanceId
SubUin
[ 10s, avg ]
[ 60s, avg ]
[ 300s, avg ]
[ 3600s, avg ]
[ 86400s, avg ]
DiskUsageRadio
System disk partition utilization
System disk partition utilization
%
AppId
InstanceId
SubUin
[ 10s, avg ]
[ 60s, avg ]
[ 300s, avg ]
[ 3600s, avg ]
[ 86400s, avg ]
DiskWriteByte
disk write bandwidth
disk write bandwidth
MBytes/s
AppId
InstanceId
SubUin
[ 10s, avg ]
[ 60s, avg ]
[ 300s, avg ]
[ 3600s, avg ]
[ 86400s, avg ]
DiskWriteIops
disk write iops
disk write iops
Count
AppId
InstanceId
SubUin
[ 10s, avg ]
[ 60s, avg ]
[ 300s, avg ]
[ 3600s, avg ]
[ 86400s, avg ]
Instancecpuutil
CPU utilization
CPU utilization
%
AppId
InstanceId
SubUin
[ 10s, avg ]
[ 60s, avg ]
[ 300s, avg ]
[ 3600s, avg ]
[ 86400s, avg ]
Instancegpumemutil
GPU vRAM utilization
GPU vRAM utilization
%
AppId
InstanceId
SubUin
[ 10s, avg ]
[ 60s, avg ]
[ 300s, avg ]
[ 3600s, avg ]
[ 86400s, avg ]
Instancegpumemvalue
GPU memory usage
GPU memory usage
MBytes
AppId
InstanceId
SubUin
[ 10s, avg ]
[ 60s, avg ]
[ 300s, avg ]
[ 3600s, avg ]
[ 86400s, avg ]
Instancegpuutil
GPU utilization
GPU utilization
%
AppId
InstanceId
SubUin
[ 10s, avg ]
[ 60s, avg ]
[ 300s, avg ]
[ 3600s, avg ]
[ 86400s, avg ]
Instancememutil
Memory utilization
Memory utilization
%
AppId
InstanceId
SubUin
[ 10s, avg ]
[ 60s, avg ]
[ 300s, avg ]
[ 3600s, avg ]
[ 86400s, avg ]
Instancememvalue
Memory usage
Memory usage
MBytes
AppId
InstanceId
SubUin
[ 10s, avg ]
[ 60s, avg ]
[ 300s, avg ]
[ 3600s, avg ]
[ 86400s, avg ]
GpuFp16EngineActivity
FP16 Active Time Ratio
FP16 Active Time Ratio
%
AppId
InstanceGpuNum
SubUin
[ 10s, avg ]
[ 60s, avg ]
[ 300s, avg ]
[ 3600s, avg ]
[ 86400s, avg ]
GpuFp32EngineActivity
FP32 Active Time Ratio
FP32 Active Time Ratio
%
AppId
InstanceGpuNum
SubUin
[ 10s, avg ]
[ 60s, avg ]
[ 300s, avg ]
[ 3600s, avg ]
[ 86400s, avg ]
GpuFp64EngineActivity
FP64 Active Time Ratio
FP64 Active Time Ratio
%
AppId
InstanceGpuNum
SubUin
[ 10s, avg ]
[ 60s, avg ]
[ 300s, avg ]
[ 3600s, avg ]
[ 86400s, avg ]
NvlinkBandwidth
nvlink transmission rate
nvlink transmission rate
Bytes/s
AppId
InstanceGpuNum
SubUin
[ 10s, avg ]
[ 60s, avg ]
[ 300s, avg ]
[ 3600s, avg ]
[ 86400s, avg ]
PcieBandwidth
PCIe bus transmission rate
PCIe bus transmission rate
Bytes/s
AppId
InstanceGpuNum
SubUin
[ 10s, avg ]
[ 60s, avg ]
[ 300s, avg ]
[ 3600s, avg ]
[ 86400s, avg ]
GpuSmActivity
SM active state time Ratio
SM Active State Time Ratio
%
AppId
InstanceGpuNum
SubUin
[ 10s, avg ]
[ 60s, avg ]
[ 300s, avg ]
[ 3600s, avg ]
[ 86400s, avg ]
TensorActivity
Tensor active state time ratio
Tensor active state time ratio
%
AppId
InstanceGpuNum
SubUin
[ 10s, avg ]
[ 60s, avg ]
[ 300s, avg ]
[ 3600s, avg ]
[ 86400s, avg ]
Dcgmfidevfbused
GPU memory usage
GPU memory usage
MBytes
AppId
InstanceGpuNum
SubUin
[ 10s, avg ]
[ 60s, avg ]
[ 300s, avg ]
[ 3600s, avg ]
[ 86400s, avg ]
DcgmFiDevGpuUtil
GPU utilization
GPU utilization
%
AppId
InstanceGpuNum
SubUin
[ 10s, avg ]
[ 60s, avg ]
[ 300s, avg ]
[ 3600s, avg ]
[ 86400s, avg ]
DcgmFiDevMemCopyUtil
GPU memory utilization
GPU memory utilization
%
AppId
InstanceGpuNum
SubUin
[ 10s, avg ]
[ 60s, avg ]
[ 300s, avg ]
[ 3600s, avg ]
[ 86400s, avg ]
GpuMemoryClockGpu
GPU Memory Frequency
GPU Memory Frequency
s
AppId
InstanceGpuNum
SubUin
[ 10s, avg ]
[ 60s, avg ]
[ 300s, avg ]
[ 3600s, avg ]
[ 86400s, avg ]
GpuMemoryFreeGpuv
GPU Memory Idle Capacity
GPU Memory Idle Capacity
MBytes
AppId
InstanceGpuNum
SubUin
[ 10s, avg ]
[ 60s, avg ]
[ 300s, avg ]
[ 3600s, avg ]
[ 86400s, avg ]
GpuNvlinkRxMb
nvlink amount of data received
nvlink amount of data received
Mbps
AppId
InstanceGpuNum
SubUin
[ 10s, avg ]
[ 60s, avg ]
[ 300s, avg ]
[ 3600s, avg ]
[ 86400s, avg ]
GpuNvlinkTxMb
nvlink amount of data sent
nvlink data transmission volume
Mbps
AppId
InstanceGpuNum
SubUin
[ 10s, avg ]
[ 60s, avg ]
[ 300s, avg ]
[ 3600s, avg ]
[ 86400s, avg ]
GpuPcieRxMb
pcie amount of data received
pcie data reception volume
Mbps
AppId
InstanceGpuNum
SubUin
[ 10s, avg ]
[ 60s, avg ]
[ 300s, avg ]
[ 3600s, avg ]
[ 86400s, avg ]
GpuPcieTxMb
pcie data transmission volume
pcie data sent volume
Mbps
AppId
InstanceGpuNum
SubUin
[ 10s, avg ]
[ 60s, avg ]
[ 300s, avg ]
[ 3600s, avg ]
[ 86400s, avg ]
GpuSmClock
SM clock frequency
SM clock frequency
s
AppId
InstanceGpuNum
SubUin
[ 10s, avg ]
[ 60s, avg ]
[ 300s, avg ]
[ 3600s, avg ]
[ 86400s, avg ]
PodDiskLimit
Total instance disk
Total instance disk
GBytes
AppId
InstanceId
SubUin
[ 10s, avg ]
[ 60s, avg ]
[ 300s, avg ]
[ 3600s, avg ]
[ 86400s, avg ]
PodDiskValue
Instance disk usage
Instance disk usage
GBytes
AppId
InstanceId
SubUin
[ 10s, avg ]
[ 60s, avg ]
[ 300s, avg ]
[ 3600s, avg ]
[ 86400s, avg ]
NodeDiskLimit
Total node disk
Total node disk
GBytes
AppId
InstanceId
SubUin
[ 10s, avg ]
[ 60s, avg ]
[ 300s, avg ]
[ 3600s, avg ]
[ 86400s, avg ]
NodeDiskValue
Node disk usage
Node disk usage
GBytes
AppId
InstanceId
SubUin
[ 10s, avg ]
[ 60s, avg ]
[ 300s, avg ]
[ 3600s, avg ]
[ 86400s, avg ]
RdmaInpkt
RDMA network card inbound packets
RDMA network card inbound packets
pps
AppId
InstanceId
SubUin
[ 10s, avg ]
[ 60s, avg ]
[ 300s, avg ]
[ 3600s, avg ]
[ 86400s, avg ]
RdmaOutpkt
RDMA network card outbound packets
RDMA network card packet output
pps
AppId
InstanceId
SubUin
[ 10s, avg ]
[ 60s, avg ]
[ 300s, avg ]
[ 3600s, avg ]
[ 86400s, avg ]
RdmaIntraffic
RDMA network interface received bandwidth
RDMA network card received bandwidth
Mbps
AppId
InstanceId
SubUin
[ 10s, avg ]
[ 60s, avg ]
[ 300s, avg ]
[ 3600s, avg ]
[ 86400s, avg ]
RdmaOuttraffic
RDMA network interface transmitted bandwidth
RDMA network interface transmitted bandwidth
Mbps
AppId
InstanceId
SubUin
[ 10s, avg ]
[ 60s, avg ]
[ 300s, avg ]
[ 3600s, avg ]
[ 86400s, avg ]

Overview of Parameters Corresponding to Each Dimension

Parameter Name
Dimension Name
Dimension Explanation
Format
Instances.N.Dimensions.0.Name
AppId
basic account information APPID dimension name
Enter the dimension name of String type: AppId (automatically selects during SDK call, no need to pass parameters)
Instances.N.Dimensions.0.Value
AppId
Basic account information APPID
Input ID, for example: 1231231231 (automatically selects during SDK call, no need to pass parameters)
Instances.N.Dimensions.1.Name
SubUin
sub-account ID dimension name
Enter the String-type dimension name: SubUin
Instances.N.Dimensions.1.Value
SubUin
sub-account ID
Input the ID, for example: 100001231231
Instances.N.Dimensions.2.Name
InstanceId
development machine ID dimension name
Enter the String-type dimension name: InstanceId
Instances.N.Dimensions.2.Value
InstanceId
Development machine ID
Input the specific instance ID, for example: nb-11521601712664xxxxx-9igs95i88a68
Instances.N.Dimensions.3.Name
InstanceGpuNum
Development machine. The dimension name of the GPU Card Number used by the instance (only for GPU whole card tasks).
Enter the String-type dimension name: InstanceGpuNum
Instances.N.Dimensions.3.Value
InstanceGpuNum
Development machine. GPU Card Number used by the instance (only for GPU whole card tasks)
Instance ID concatenated with GPU Card Number/avg. Input specific instance ID, for example: nb-11521601712664xxxxx-9igs95i88a68-0

Input Parameters

Query Notebook metric monitoring data. Values are as follows:
&Namespace=QCE/TI_NOTEBOOK
&Instances.N.Dimensions.0.Name=AppId
&Instances.N.Dimensions.0.Value=specific account ID
&Instances.N.Dimensions.1.Name=SubUin
&Instances.N.Dimensions.1.Value=sub-account ID
&Instances.N.Dimensions.2.Name=InstanceId
&Instances.N.Dimensions.2.Value=development machine ID
&Instances.N.Dimensions.3.Name=InstanceGpuNum
&Instances.N.Dimensions.3.Value=GPU Card Number used by the development machine instance

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