- Release Notes
- Product Introduction
- Purchase Guide
- Quick Start
- User Guide
- High-risk Operations of Container Service
- Deploying Containerized Applications in the Cloud
- Kubernetes API Operation Guide
- Open Source Components
- Cluster Management
- Cluster Overview
- Cluster Hosting Modes Introduction
- Cluster Lifecycle
- TKE-Optimized Series Images
- Creating a Cluster
- Deleting a Cluster
- Cluster Scaling
- Connecting to a Cluster
- Upgrading a Cluster
- Enabling IPVS for a Cluster
- Enabling GPU Scheduling for a Cluster
- CVM Container Cluster Network
- Custom Kubernetes Component Launch Parameters
- Node Management
- Node Pool Management
- Kubernetes Object Management
- Overview
- Namespace
- Workload
- Deployment Management
- StatefulSet Management
- DaemonSet Management
- Job Management
- CronJob Management
- Setting the Resource Limit of Workload
- Setting the Scheduling Rule for a Workload
- Setting the Health Check for a Workload
- Setting the Run Command and Parameter for a Workload
- Using a Container Image in a TCR Enterprise Instance to Create a Workload
- Auto Scaling
- Configuration
- Virtual Node Management
- Service Management
- Ingress Management
- Storage Management
- Add-On Management
- Helm Application
- Network Management
- Application Market
- OPS Center
- Remote Terminals
- Elastic Cluster Guide
- Edge Cluster Guide
- Best Practices
- Cluster
- Cluster Migration
- EKS Cluster
- Security
- Service Deployment
- Network
- Using Network Policy for Network Access Control
- Deploying NGINX Ingress on TKE
- Using NodeLocal DNS Cache in a TKE Cluster
- Nginx Ingress High-Concurrency Practices
- Limiting the bandwidth on pods in TKE
- Directly connecting TKE to the CLB of pods based on the ENI
- Use CLB-Pod Direct Connection on TKE
- Obtaining the Real Client Source IP in TKE
- Implementing Custom Domain Name Resolution in TKE
- Using Traefik Ingress in TKE
- Release
- Logs
- Monitoring
- OPS
- Removing and Re-adding Nodes from and to Cluster
- Using Ansible to Batch Operate TKE Nodes
- Using Cluster Audit for Troubleshooting
- Using cert-manager to Issue Free Certificates
- Using the TKE NPDPlus Plug-In to Enhance the Self-Healing Capability of Nodes
- Using kubecm to Manage Multiple Clusters kubeconfig
- Customizing RBAC Authorization in TKE
- DevOps
- Auto Scaling
- Cluster Auto Scaling Practices
- Using tke-autoscaling-placeholder to Implement Auto Scaling in Seconds
- Installing metrics-server on TKE
- Using Custom Metrics for Auto Scaling in TKE
- Utilizing HPA to Auto Scale Businesses on TKE
- Using VPA to Realize Pod Scaling up and Scaling down in TKE
- Adjusting HPA Scaling Sensitivity Based on Different Business Scenarios
- Storage
- Containerization
- Permission Management
- Overview
- Description of Role Permissions Related to Service Authorization
- TKE Image Registry Resource-level Permission Settings
- Controlling TKE cluster-level permissions
- TKE Kubernetes Object-level Permission Control
- Fault Handling
- API Documentation
- History
- Introduction
- API Category
- Making API Requests
- Cluster APIs
- DescribeClusterKubeconfig
- DescribeClusters
- CreateCluster
- DescribeClusterSecurity
- DeleteCluster
- ModifyClusterEndpointSP
- DescribeClusterEndpointVipStatus
- DescribeClusterEndpointStatus
- DeleteClusterEndpointVip
- DeleteClusterEndpoint
- CreateClusterEndpointVip
- CreateClusterEndpoint
- ModifyClusterAttribute
- AcquireClusterAdminRole
- UpgradeClusterInstances
- UpdateClusterVersion
- GetUpgradeInstanceProgress
- DescribeAvailableClusterVersion
- Node APIs
- Network APIs
- Scaling group APIs
- Node Pool APIs
- Other APIs
- Data Types
- Error Codes
- API Mapping Guide
- FAQs
- Notice
- User Guide(Old)
- Service Level Agreement
- Glossary
- Release Notes
- Product Introduction
- Purchase Guide
- Quick Start
- User Guide
- High-risk Operations of Container Service
- Deploying Containerized Applications in the Cloud
- Kubernetes API Operation Guide
- Open Source Components
- Cluster Management
- Cluster Overview
- Cluster Hosting Modes Introduction
- Cluster Lifecycle
- TKE-Optimized Series Images
- Creating a Cluster
- Deleting a Cluster
- Cluster Scaling
- Connecting to a Cluster
- Upgrading a Cluster
- Enabling IPVS for a Cluster
- Enabling GPU Scheduling for a Cluster
- CVM Container Cluster Network
- Custom Kubernetes Component Launch Parameters
- Node Management
- Node Pool Management
- Kubernetes Object Management
- Overview
- Namespace
- Workload
- Deployment Management
- StatefulSet Management
- DaemonSet Management
- Job Management
- CronJob Management
- Setting the Resource Limit of Workload
- Setting the Scheduling Rule for a Workload
- Setting the Health Check for a Workload
- Setting the Run Command and Parameter for a Workload
- Using a Container Image in a TCR Enterprise Instance to Create a Workload
- Auto Scaling
- Configuration
- Virtual Node Management
- Service Management
- Ingress Management
- Storage Management
- Add-On Management
- Helm Application
- Network Management
- Application Market
- OPS Center
- Remote Terminals
- Elastic Cluster Guide
- Edge Cluster Guide
- Best Practices
- Cluster
- Cluster Migration
- EKS Cluster
- Security
- Service Deployment
- Network
- Using Network Policy for Network Access Control
- Deploying NGINX Ingress on TKE
- Using NodeLocal DNS Cache in a TKE Cluster
- Nginx Ingress High-Concurrency Practices
- Limiting the bandwidth on pods in TKE
- Directly connecting TKE to the CLB of pods based on the ENI
- Use CLB-Pod Direct Connection on TKE
- Obtaining the Real Client Source IP in TKE
- Implementing Custom Domain Name Resolution in TKE
- Using Traefik Ingress in TKE
- Release
- Logs
- Monitoring
- OPS
- Removing and Re-adding Nodes from and to Cluster
- Using Ansible to Batch Operate TKE Nodes
- Using Cluster Audit for Troubleshooting
- Using cert-manager to Issue Free Certificates
- Using the TKE NPDPlus Plug-In to Enhance the Self-Healing Capability of Nodes
- Using kubecm to Manage Multiple Clusters kubeconfig
- Customizing RBAC Authorization in TKE
- DevOps
- Auto Scaling
- Cluster Auto Scaling Practices
- Using tke-autoscaling-placeholder to Implement Auto Scaling in Seconds
- Installing metrics-server on TKE
- Using Custom Metrics for Auto Scaling in TKE
- Utilizing HPA to Auto Scale Businesses on TKE
- Using VPA to Realize Pod Scaling up and Scaling down in TKE
- Adjusting HPA Scaling Sensitivity Based on Different Business Scenarios
- Storage
- Containerization
- Permission Management
- Overview
- Description of Role Permissions Related to Service Authorization
- TKE Image Registry Resource-level Permission Settings
- Controlling TKE cluster-level permissions
- TKE Kubernetes Object-level Permission Control
- Fault Handling
- API Documentation
- History
- Introduction
- API Category
- Making API Requests
- Cluster APIs
- DescribeClusterKubeconfig
- DescribeClusters
- CreateCluster
- DescribeClusterSecurity
- DeleteCluster
- ModifyClusterEndpointSP
- DescribeClusterEndpointVipStatus
- DescribeClusterEndpointStatus
- DeleteClusterEndpointVip
- DeleteClusterEndpoint
- CreateClusterEndpointVip
- CreateClusterEndpoint
- ModifyClusterAttribute
- AcquireClusterAdminRole
- UpgradeClusterInstances
- UpdateClusterVersion
- GetUpgradeInstanceProgress
- DescribeAvailableClusterVersion
- Node APIs
- Network APIs
- Scaling group APIs
- Node Pool APIs
- Other APIs
- Data Types
- Error Codes
- API Mapping Guide
- FAQs
- Notice
- User Guide(Old)
- Service Level Agreement
- Glossary
Overview
Elastic Kubernetes Service (EKS) collects and displays metrics for clusters, workloads, pods, and containers.
Prerequisites
An elastic cluster has been created and is in the Running state. For more information, see Creating a Cluster.
Procedure
- Log in to the TKE console and click Elastic Cluster in the left sidebar.
- On the Elastic Cluster page that appears, click the ID of the cluster that you want to manage.
- On the cluster resource management page, view the metrics and configure alarms for them. For more information, see the following documents:
Monitoring and Alarm Metrics
Monitoring metrics
TKE currently provides monitoring metrics in the following dimensions. All metrics are average values of the statistics collected within the statistical period.
Note：
- For monitoring metrics for persistent volumes (PVs) used by a workload, see Block Storage and Cloud File Storage.
- For network monitoring metrics for a CLB associated with a Service, see the Cloud Load Balancer.
- For more information on how to create an alarm policy, see Creating an Alarm Policy.
Monitoring metrics for a cluster
| Metric | Unit | Description |
|---|---|---|
| CPU Usage | Core | Total number of CPU cores used by the running pods in the cluster |
| MEM Usage | B | Total amount of memory used by the running pods in the cluster |
Monitoring metrics for a workload
| Metric | Unit | Description |
|---|---|---|
| Restart of Pods | Times | Total number of times the pods in the workload are restarted |
| CPU Usage | Core | Total number of CPU cores used by the pods in the workload |
| CPU Utilization (% of Pod Specification) | % | Percentage of the CPU cores allocated to the pods in the workload that is used by the pods |
| MEM Usage | B | Total amount of memory used by the running pods in the workload |
| MEM Utilization (% of Pod Specification) | % | Percentage of the memory capacity allocated to the pods in the workload that is used by the pods |
Monitoring metrics for a pod
| Metric | Unit | Description |
|---|---|---|
| Exception | - | Status of the pod, which can be normal or abnormal |
| CPU Usage | Core | Number of CPU cores used by the pod |
| CPU Utilization (% of Request) | % | Percentage of the total number of CPU cores specified by Request that is used by the pod |
| CPU Utilization (% of Limit) | % | Percentage of the total number of CPU cores specified by Limit that is used by the pod |
| CPU Utilization (% of Pod Specification) | % | Percentage of the CPU cores allocated to the pod that is used by the pod |
| MEM Usage | B | Amount of memory used by the pod, including the cache usage for the pod |
| MEM Utilization (% of Request) | % | Percentage of the total amount of memory specified by Request that is used by the pod |
| MEM Utilization (% of Limit) | % | Percentage of the total amount of memory specified by Limit that is used by the pod |
| MEM Utilization (% of Pod Specification) | % | Percentage of the memory capacity allocated to the pod that is used by the pod |
Monitoring metrics for a container
| Metric | Unit | Description |
|---|---|---|
| CPU Usage | Core | Number of CPU cores used by the container |
| CPU Utilization (% of Request) | % | Percentage of the total number of CPU cores specified by Request that is used by the container |
| CPU Utilization (% of Limit) | % | Percentage of the total number of CPU cores specified by Limit that is used by the container |
| MEM Usage | B | Amount of memory used by the container, including the cache usage for the container |
| MEM Utilization (% of Request) | % | Percentage of the total amount of memory specified by Request that is used by the container |
| MEM Utilization (% of Limit) | % | Percentage of the total amount of memory specified by Limit that is used by the container |
Alarm Metrics
TKE currently provides alarm metrics in the following dimensions. All metrics are average values of the statistics collected within the statistical period.
Alarm metrics for a pod
| Metric | Unit | Description |
|---|---|---|
| CPU Utilization (% of Pod Specification) | % | Percentage of the CPU cores allocated to the pod that is used by the pod |
| MEM Utilization (% of Pod Specification) | % | Percentage of the memory capacity allocated to the pod that is used by the pod |
| CPU Utilization (% of Request) | % | Percentage of the total number of CPU cores specified by Request that is used by the pod |
| MEM Utilization (% of Request) | % | Percentage of the total amount of memory specified by Request that is used by the pod |
| CPU Utilization (% of Limit) | % | Percentage of the total number of CPU cores specified by Limit that is used by the pod |
| MEM Utilization (% of Limit) | % | Percentage of the total amount of memory specified by Limit that is used by the pod |
| Restart of Pods | Times | Number of times the pod is restarted. |
| Pod Ready | - | Status of the pod. By default, an alarm is generated when the value is False. |
| CPU Usage | Core | Number of CPU cores used by the pod |
| MEM Usage | MB | Amount of memory used by the pod, including the cache usage for the pod |
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