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Container
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Last updated: 2025-03-20 17:41:18
Container
Last updated: 2025-03-20 17:41:18
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Notes

This document is only applicable to the DescribeStatisticData API. For all the following metrics, the tke_cluster_instance_id and workload_name dimensions are always required, and one of other required dimensions must be passed in.

Namespace

Namespace = QCE/TKE2

Monitoring Metrics

Parameter
Metric
Unit
Dimension
Statistical Period
K8sContainerCpuCoreUsed
Number of used CPU cores (average 2-minute number of CPU cores in the container)
-
Always required dimensions: tke_cluster_instance_id, workload_name
Required dimensions (one of which must be passed in): namespace, node_role, node, un_instance_id, pod_name, container_name, container_id, workload_kind
60s,
300s,
3600s,
86400s
K8sContainerFsWriteTimes
Number of block device writes
-
Always required dimensions: tke_cluster_instance_id, workload_name Required dimensions (one of which must be passed in): namespace, node_role, node, un_instance_id, pod_name, container_name, container_id, workload_kind
60s, 300s, 3600s, 86400s
K8sContainerRateCpuCoreUsedNode
CPU utilization (usage/node)
%
Always required dimensions: tke_cluster_instance_id, workload_name
Required dimensions (one of which must be passed in): namespace, node_role, node, un_instance_id, pod_name, container_name, container_id, workload_kind
60s,
300s,
3600s,
86400s
K8sContainerRateMemNoCacheNode
Memory utilization (usage/node, excluding cache)
%
Always required dimensions: tke_cluster_instance_id, workload_name Required dimensions (one of which must be passed in): namespace, node_role, node, un_instance_id, pod_name, container_name, container_id, workload_kind
60s, 300s, 3600s, 86400s
K8sContainerRateMemUsageNode
Memory utilization (usage/node)
%
Always required dimensions: tke_cluster_instance_id, workload_name
Required dimensions (one of which must be passed in): namespace, node_role, node, un_instance_id, pod_name, container_name, container_id, workload_kind
60s,
300s,
3600s,
86400s
K8sContainerFsReadBytes
Block device read bandwidth
MB/s
Always required dimensions: tke_cluster_instance_id, workload_name Required dimensions (one of which must be passed in): namespace, node_role, node, un_instance_id, pod_name, container_name, container_id, workload_kind
60s, 300s, 3600s, 86400s
K8sContainerMemNoCacheBytes
Memory usage (excluding cache)
MB
Always required dimensions: tke_cluster_instance_id, workload_name
Required dimensions (one of which must be passed in): namespace, node_role, node, un_instance_id, pod_name, container_name, container_id, workload_kind
60s,
300s,
3600s,
86400s
K8sContainerNetworkReceivePackets
Network inbound packets
Count/s
Always required dimensions: tke_cluster_instance_id, workload_name Required dimensions (one of which must be passed in): namespace, node_role, node, un_instance_id, pod_name, container_name, container_id, workload_kind
60s, 300s, 3600s, 86400s
K8sContainerNetworkTransmitPackets
Network outbound packets
Count/s
Always required dimensions: tke_cluster_instance_id, workload_name
Required dimensions (one of which must be passed in): namespace, node_role, node, un_instance_id, pod_name, container_name, container_id, workload_kind
60s,
300s,
3600s,
86400s
K8sContainerRateCpuCoreUsedRequest
CPU utilization (usage/request)
%
Always required dimensions: tke_cluster_instance_id, workload_name Required dimensions (one of which must be passed in): namespace, node_role, node, un_instance_id, pod_name, container_name, container_id, workload_kind
60s, 300s, 3600s, 86400s
K8sContainerRateMemNoCacheRequest
Memory utilization (usage/request, excluding cache)
%
Always required dimensions: tke_cluster_instance_id, workload_name
Required dimensions (one of which must be passed in): namespace, node_role, node, un_instance_id, pod_name, container_name, container_id, workload_kind
60s,
300s,
3600s,
86400s
K8sContainerRateMemUsageRequest
Memory utilization (usage/request)
%
Always required dimensions: tke_cluster_instance_id, workload_name
Required dimensions (one of which must be passed in): namespace, node_role, node, un_instance_id, pod_name, container_name, container_id, workload_kind
60s, 300s, 3600s, 86400s
K8sContainerFsReadTimes
Number of block device reads
-
Always required dimensions: tke_cluster_instance_id, workload_name
Required dimensions (one of which must be passed in): namespace, node_role, node, un_instance_id, pod_name, container_name, container_id, workload_kind
60s,
300s,
3600s,
86400s
K8sContainerMemUsageBytes
Memory usage
MB
Always required dimensions: tke_cluster_instance_id, workload_name Required dimensions (one of which must be passed in): namespace, node_role, node, un_instance_id, pod_name, container_name, container_id, workload_kind
60s, 300s, 3600s, 86400s
K8sContainerNetworkTransmitBytes
Network outbound traffic
MB
Always required dimensions: tke_cluster_instance_id, workload_name
Required dimensions (one of which must be passed in): namespace, node_role, node, un_instance_id, pod_name, container_name, container_id, workload_kind
60s,
300s,
3600s,
86400s
K8sContainerRateCpuCoreUsedLimit
CPU utilization (usage/limit)
%
Always required dimensions: tke_cluster_instance_id, workload_name Required dimensions (one of which must be passed in): namespace, node_role, node, un_instance_id, pod_name, container_name, container_id, workload_kind
60s, 300s, 3600s, 86400s
K8sContainerRateMemNoCacheLimit
Memory utilization (usage/limit, excluding cache)
%
Always required dimensions: tke_cluster_instance_id, workload_name
Required dimensions (one of which must be passed in): namespace, node_role, node, un_instance_id, pod_name, container_name, container_id, workload_kind
60s,
300s,
3600s,
86400s
K8sContainerRateMemUsageLimit
Memory utilization (usage/limit)
%
Always required dimensions: tke_cluster_instance_id, workload_name Required dimensions (one of which must be passed in): namespace, node_role, node, un_instance_id, pod_name, container_name, container_id, workload_kind
60s, 300s, 3600s, 86400s
K8sContainerFsWriteBytes
Block device write bandwidth
MB/s
Always required dimensions: tke_cluster_instance_id, workload_name
Required dimensions (one of which must be passed in): namespace, node_role, node, un_instance_id, pod_name, container_name, container_id, workload_kind
60s,
300s,
3600s,
86400s
K8sContainerRateGpuMemoryUsedNode
GPU memory utilization (usage/node)
%
Always required dimensions: tke_cluster_instance_id, workload_name Required dimensions (one of which must be passed in): namespace, node_role, node, un_instance_id, pod_name, container_name, container_id, workload_kind
60s, 300s, 3600s, 86400s
K8sContainerRateGpuMemoryUsedRequest
GPU utilization (usage/request)
%
Always required dimensions: tke_cluster_instance_id, workload_name
Required dimensions (one of which must be passed in): namespace, node_role, node, un_instance_id, pod_name, container_name, container_id, workload_kind
60s,
300s,
3600s,
86400s
K8sContainerRateGpuUsedNode
GPU utilization (usage/node)
%
Always required dimensions: tke_cluster_instance_id, workload_name Required dimensions (one of which must be passed in): namespace, node_role, node, un_instance_id, pod_name, container_name, container_id, workload_kind
60s, 300s, 3600s, 86400s
K8sContainerRateGpuUsedRequest
GPU utilization (usage/request)
%
Always required dimensions: tke_cluster_instance_id, workload_name
Required dimensions (one of which must be passed in): namespace, node_role, node, un_instance_id, pod_name, container_name, container_id, workload_kind
60s,
300s,
3600s,
86400s
K8sContainerGpuMemoryUsedBytes
GPU memory usage
MB
Always required dimensions: tke_cluster_instance_id, workload_name
Required dimensions (one of which must be passed in): namespace, node_role, node, un_instance_id, pod_name, container_name, container_id, workload_kind
60s,
300s,
3600s,
86400s
K8sContainerGpuUsed
Container GPU usage
Card
Always required dimensions: tke_cluster_instance_id, workload_name Required dimensions (one of which must be passed in): namespace, node_role, node, un_instance_id, pod_name, container_name, container_id, workload_kind
60s, 300s, 3600s, 86400s

Statistical Granularity and Time Span

The supported time span varies by statistical granularity. When pulling monitoring data, you should keep in mind the time span restrictions as detailed below:
Statistical Granularity
Maximum Time Span (End Time - Start Time)
60s
12 hours
300s
3 days
3600s
30 days
86400s
186 days

Dimensions and Parameters

Parameter Name
Type
Dimension Name
Description
Format
Conditions.N.Dimensions.N.Name
Required
tke_cluster_instance_id
Dimension name of the cluster
Enter a string-type dimension name, such as `tke_cluster_instance_id`
Conditions.N.Dimensions.N.Value
tke_cluster_instance_id
Specific cluster ID
Enter a specific cluster ID, such as `cls-fvkxp123`
Conditions.N.Dimensions.N.Name
workload_name
Dimension name of the workload name
Enter a specific workload name, such as `workload_name`
Conditions.N.Dimensions.N.Value
workload_name
Specific workload name
Enter a specific workload name, such as `coredns`
Conditions.N.Dimensions.N.Name
Required (one of which must be passed in)
namespace
Dimension name of the namespace
Enter a string-type dimension name, such as `namespace`
Conditions.N.Dimensions.N.Value
namespace
Specific namespace
Enter a specific namespace, such as `kube-system`
Conditions.N.Dimensions.N.Name
node_role
Dimension name of the cluster
Enter a string-type dimension name, such as `node_role`
Conditions.N.Dimensions.N.Value
node_role
Specific node role
Enter a specific node role, such as `node`
Conditions.N.Dimensions.N.Name
node
Dimension name of the node name
Enter a specific workload name, such as `node`
Conditions.N.Dimensions.N.Value
node
Specific node name
Enter a specific node name, such as `node`
Conditions.N.Dimensions.N.Name
un_instance_id
Dimension name of the node ID
Enter a specific workload name, such as `un_instance_id`
Conditions.N.Dimensions.N.Value
un_instance_id
Specific node ID
Enter a specific node ID, such as `ins-nwjhh123`
Conditions.N.Dimensions.N.Name
pod_name
Dimension name of the Pod name
Enter a specific workload name, such as `pod_name`
Conditions.N.Dimensions.N.Value
pod_name
Specific Pod name
Enter a specific Pod name, such as `coredns-6ffc45f789-46lpq`
Conditions.N.Dimensions.N.Name
container_name
Dimension name of the container name
Enter a string-type dimension name, such as `container_name`
Conditions.N.Dimensions.N.Value
container_name
Specific container name
Enter a specific container name, such as `coredns`
Conditions.N.Dimensions.N.Name
container_id
Dimension name of the container ID
Enter a string-type dimension name, such as `container_id`
Conditions.N.Dimensions.N.Value
container_id
Specific container ID
Enter a specific container ID, such as `containerd://a133bd 5ecaada12cd5d5d f01fe8b7e692c3780a11b3 ff0daf01ee6f35cbbdbdf`
Conditions.N.Dimensions.N.Name
workload_kind
Dimension name of the workload type
Enter a specific workload name, such as `workload_kind`
Conditions.N.Dimensions.N.Value
workload_kind
Specific workload type
Enter a specific workload name, such as `Deployment`

Input Parameters

In the namespace dimension, use the following input parameters: &Namespace=QCE/TKE2 &Conditions.N.Dimensions.0.Name=tke_cluster_instance_id &Conditions.N.Dimensions.0.Value=cls-fvkxp123 &Conditions.N.Dimensions.1.Name=workload_name &Conditions.N.Dimensions.1.Value=coredns &Conditions.N.Dimensions.2.Name=namespace &Conditions.N.Dimensions.2.Value=kube-system
In the node role dimension, use the following input parameters: &Namespace=QCE/TKE2 &Conditions.N.Dimensions.0.Name=tke_cluster_instance_id &Conditions.N.Dimensions.0.Value=cls-fvkxp123 &Conditions.N.Dimensions.1.Name=workload_name &Conditions.N.Dimensions.1.Value=coredns &Conditions.N.Dimensions.2.Name=node_role &Conditions.N.Dimensions.2.Value=node
In the node name dimension, use the following input parameters: &Namespace=QCE/TKE2 &Conditions.N.Dimensions.0.Name=tke_cluster_instance_id &Conditions.N.Dimensions.0.Value=cls-fvkxp123 &Conditions.N.Dimensions.1.Name=workload_name &Conditions.N.Dimensions.1.Value=coredns &Conditions.N.Dimensions.2.Name=node &Conditions.N.Dimensions.2.Value=node
In the node ID dimension, use the following input parameters: &Namespace=QCE/TKE2 &Conditions.N.Dimensions.0.Name=tke_cluster_instance_id &Conditions.N.Dimensions.0.Value=cls-fvkxp123 &Conditions.N.Dimensions.1.Name=workload_name &Conditions.N.Dimensions.1.Value=coredns &Conditions.N.Dimensions.2.Name=un_instance_id &Conditions.N.Dimensions.2.Value=ins-nwjhh123
In the Pod name dimension, use the following input parameters: &Namespace=QCE/TKE2 &Conditions.N.Dimensions.0.Name=tke_cluster_instance_id &Conditions.N.Dimensions.0.Value=cls-fvkxp123 &Conditions.N.Dimensions.1.Name=workload_name &Conditions.N.Dimensions.1.Value=coredns &Conditions.N.Dimensions.2.Name=pod_name &Conditions.N.Dimensions.2.Value=coredns-6ffc45f789-46lpq
In the container name dimension, use the following input parameters: &Namespace=QCE/TKE2 &Conditions.N.Dimensions.0.Name=tke_cluster_instance_id &Conditions.N.Dimensions.0.Value=cls-fvkxp123 &Conditions.N.Dimensions.1.Name=workload_name &Conditions.N.Dimensions.1.Value=coredns &Conditions.N.Dimensions.2.Name=container_name &Conditions.N.Dimensions.2.Value=coredns
In the container ID dimension, use the following input parameters: &Namespace=QCE/TKE2 &Conditions.N.Dimensions.0.Name=tke_cluster_instance_id &Conditions.N.Dimensions.0.Value=cls-fvkxp123 &Conditions.N.Dimensions.1.Name=workload_name &Conditions.N.Dimensions.1.Value=coredns &Conditions.N.Dimensions.2.Name=container_id &Conditions.N.Dimensions.2.Value=containerd://a133bd5ecaada12cd5d5df01fe8b7e692c3780a11b3ff0daf01ee6f35cbbdbdf
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