- Release Notes and Announcements
- Release Notes
- Announcements
- Security Vulnerability Fix Description
- Announcement on Authentication Upgrade of Some TKE APIs
- Discontinuing Update of NginxIngress Addon
- qGPU Service Adjustment
- Version Upgrade of Master Add-On of TKE Managed Cluster
- Upgrading tke-monitor-agent
- Discontinuing TKE API 2.0
- Instructions on Cluster Resource Quota Adjustment
- Decommissioning Kubernetes Version
- Deactivation of Scaling Group Feature
- Notice on TPS Discontinuation on May 16, 2022 at 10:00 (UTC +8)
- Basic Monitoring Architecture Upgrade
- Starting Charging on Managed Clusters
- Instructions on Stopping Delivering the Kubeconfig File to Nodes
- Release Notes
- Product Introduction
- Purchase Guide
- Quick Start
- TKE General Cluster Guide
- TKE General Cluster Overview
- Purchase a TKE General Cluster
- High-risk Operations of Container Service
- Deploying Containerized Applications in the Cloud
- Open Source Components
- Permission Management
- Cluster Management
- Cluster Overview
- Cluster Hosting Modes Introduction
- Cluster Lifecycle
- Creating a Cluster
- Changing the Cluster Operating System
- Deleting a Cluster
- Cluster Scaling
- Connecting to a Cluster
- Upgrading a Cluster
- Enabling IPVS for a Cluster
- Custom Kubernetes Component Launch Parameters
- Using KMS for Kubernetes Data Source Encryption
- Images
- Worker node introduction
- Normal Node Management
- Native Node Management
- Overview
- Native Node Parameters
- Purchasing Native Nodes
- Lifecycle of a Native Node
- Creating Native Nodes
- Modifying Native Nodes
- Deleting Native Nodes
- Self-Heal Rules
- Declarative Operation Practice
- Native Node Scaling
- In-place Pod Configuration Adjustment
- Enabling Public Network Access for a Native Node
- Management Parameters
- Enabling SSH Key Login for a Native Node
- FAQs for Native Nodes
- Supernode management
- Registered Node Management
- Memory Compression Instructions
- GPU Share
- Kubernetes Object Management
- Overview
- Namespace
- Workload
- Deployment Management
- StatefulSet Management
- DaemonSet Management
- CronJob Management
- Job 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
- Service Management
- Ingress Management
- Storage Management
- Policy Management
- Application and Add-On Feature Management Description
- Add-On Management
- Add-on Overview
- Add-On Lifecycle Management
- Cluster Autoscaler
- OOMGuard
- NodeProblemDetectorPlus Add-on
- NodeLocalDNSCache
- DNSAutoscaler
- COS-CSI
- CFS-CSI
- CFSTURBO-CSI
- CBS-CSI Description
- UserGroupAccessControl
- TCR Introduction
- TCR Hosts Updater
- DynamicScheduler
- DeScheduler
- Network Policy
- Nginx-ingress
- HPC
- Description of tke-monitor-agent
- tke-log-agent
- GPU-Manager Add-on
- Helm Application
- Application Market
- Network Management
- Container Network Overview
- GlobalRouter Mode
- VPC-CNI Mode
- VPC-CNI Mode
- Multiple Pods with Shared ENI Mode
- Pods with Exclusive ENI Mode
- Static IP Address Mode Instructions
- Non-static IP Address Mode Instructions
- Interconnection Between VPC-CNI and Other Cloud Resources/IDC Resources
- Security Group of VPC-CNI Mode
- Instructions on Binding an EIP to a Pod
- VPC-CNI Component Description
- Limits on the Number of Pods in VPC-CNI Mode
- Cilium-Overlay Mode
- OPS Center
- Log Management
- Backup Center
- Remote Terminals
- TKE Serverless Cluster Guide
- TKE Registered Cluster Guide
- TKE Insight
- TKE Scheduling
- Cloud Native Service Guide
- Practical Tutorial
- Cluster
- Cluster Migration
- Serverless Cluster
- Security
- Service Deployment
- Network
- DNS
- Self-Built Nginx Ingress Practice Tutorial
- Quick Start
- Custom Load Balancer
- Enabling CLB Direct Connection
- Optimization for High Concurrency Scenarios
- High Availability Configuration Optimization
- Observability Integration
- Access to Tencent Cloud WAF
- Installing Multiple Nginx Ingress Controllers
- Migrating from TKE Nginx Ingress Plugin to Self-Built Nginx Ingress
- Complete Example of values.yaml Configuration
- Using Network Policy for Network Access Control
- Deploying NGINX Ingress on TKE
- Nginx Ingress High-Concurrency Practices
- Nginx Ingress Best 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
- 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
- Renewing a TKE Ingress Certificate
- Using cert-manager to Issue Free Certificates
- Using cert-manager to Issue Free Certificate for DNSPod Domain Name
- Using the TKE NPDPlus Plug-In to Enhance the Self-Healing Capability of Nodes
- Using kubecm to Manage Multiple Clusters kubeconfig
- Quick Troubleshooting Using TKE Audit and Event Services
- Customizing RBAC Authorization in TKE
- Clearing De-registered Tencent Cloud Account Resources
- Terraform
- 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
- Implementing elasticity based on traffic prediction with EHPA
- Implementing Horizontal Scaling based on CLB monitoring metrics using KEDA in TKE
- Containerization
- Microservice
- Cost Management
- Hybrid Cloud
- Fault Handling
- Disk Full
- High Workload
- Memory Fragmentation
- Cluster DNS Troubleshooting
- Cluster kube-proxy Troubleshooting
- Cluster API Server Inaccessibility Troubleshooting
- Service and Ingress Inaccessibility Troubleshooting
- Common Service & Ingress Errors and Solutions
- Engel Ingres appears in Connechtin Reverside
- CLB Ingress Creation Error
- Troubleshooting for Pod Network Inaccessibility
- Pod Status Exception and Handling
- Authorizing Tencent Cloud OPS Team for Troubleshooting
- CLB Loopback
- API Documentation
- History
- API Category
- Elastic Cluster APIs
- Resource Reserved Coupon APIs
- Cluster APIs
- AcquireClusterAdminRole
- CreateClusterEndpoint
- CreateClusterEndpointVip
- DeleteCluster
- DeleteClusterEndpoint
- DeleteClusterEndpointVip
- DescribeAvailableClusterVersion
- DescribeClusterAuthenticationOptions
- DescribeClusterCommonNames
- DescribeClusterEndpointStatus
- DescribeClusterEndpointVipStatus
- DescribeClusterEndpoints
- DescribeClusterKubeconfig
- DescribeClusterLevelAttribute
- DescribeClusterLevelChangeRecords
- DescribeClusterSecurity
- DescribeClusterStatus
- DescribeClusters
- DescribeEdgeAvailableExtraArgs
- DescribeEdgeClusterExtraArgs
- DescribeResourceUsage
- DisableClusterDeletionProtection
- EnableClusterDeletionProtection
- GetClusterLevelPrice
- GetUpgradeInstanceProgress
- ModifyClusterAttribute
- ModifyClusterAuthenticationOptions
- ModifyClusterEndpointSP
- UpgradeClusterInstances
- CreateBackupStorageLocation
- CreateCluster
- DeleteBackupStorageLocation
- DescribeBackupStorageLocations
- DescribeEncryptionStatus
- DisableEncryptionProtection
- EnableEncryptionProtection
- UpdateClusterKubeconfig
- UpdateClusterVersion
- Third-party Node APIs
- Network APIs
- Node APIs
- Node Pool APIs
- TKE Edge Cluster APIs
- CheckEdgeClusterCIDR
- DescribeAvailableTKEEdgeVersion
- DescribeECMInstances
- DescribeEdgeCVMInstances
- DescribeEdgeClusterInstances
- DescribeEdgeClusterUpgradeInfo
- DescribeTKEEdgeClusterStatus
- ForwardTKEEdgeApplicationRequestV3
- DescribeEdgeLogSwitches
- CreateECMInstances
- CreateEdgeCVMInstances
- CreateEdgeLogConfig
- DeleteECMInstances
- DeleteEdgeCVMInstances
- DeleteEdgeClusterInstances
- DeleteTKEEdgeCluster
- DescribeTKEEdgeClusterCredential
- DescribeTKEEdgeExternalKubeconfig
- DescribeTKEEdgeScript
- InstallEdgeLogAgent
- UninstallEdgeLogAgent
- UpdateEdgeClusterVersion
- DescribeTKEEdgeClusters
- CreateTKEEdgeCluster
- Cloud Native Monitoring APIs
- Scaling group APIs
- Super Node APIs
- Introduction
- Making API Requests
- Add-on APIs
- Other APIs
- Data Types
- Error Codes
- API Mapping Guide
- FAQs
- Service Agreement
- Contact Us
- Glossary
- User Guide(Old)
- Release Notes and Announcements
- Release Notes
- Announcements
- Security Vulnerability Fix Description
- Announcement on Authentication Upgrade of Some TKE APIs
- Discontinuing Update of NginxIngress Addon
- qGPU Service Adjustment
- Version Upgrade of Master Add-On of TKE Managed Cluster
- Upgrading tke-monitor-agent
- Discontinuing TKE API 2.0
- Instructions on Cluster Resource Quota Adjustment
- Decommissioning Kubernetes Version
- Deactivation of Scaling Group Feature
- Notice on TPS Discontinuation on May 16, 2022 at 10:00 (UTC +8)
- Basic Monitoring Architecture Upgrade
- Starting Charging on Managed Clusters
- Instructions on Stopping Delivering the Kubeconfig File to Nodes
- Release Notes
- Product Introduction
- Purchase Guide
- Quick Start
- TKE General Cluster Guide
- TKE General Cluster Overview
- Purchase a TKE General Cluster
- High-risk Operations of Container Service
- Deploying Containerized Applications in the Cloud
- Open Source Components
- Permission Management
- Cluster Management
- Cluster Overview
- Cluster Hosting Modes Introduction
- Cluster Lifecycle
- Creating a Cluster
- Changing the Cluster Operating System
- Deleting a Cluster
- Cluster Scaling
- Connecting to a Cluster
- Upgrading a Cluster
- Enabling IPVS for a Cluster
- Custom Kubernetes Component Launch Parameters
- Using KMS for Kubernetes Data Source Encryption
- Images
- Worker node introduction
- Normal Node Management
- Native Node Management
- Overview
- Native Node Parameters
- Purchasing Native Nodes
- Lifecycle of a Native Node
- Creating Native Nodes
- Modifying Native Nodes
- Deleting Native Nodes
- Self-Heal Rules
- Declarative Operation Practice
- Native Node Scaling
- In-place Pod Configuration Adjustment
- Enabling Public Network Access for a Native Node
- Management Parameters
- Enabling SSH Key Login for a Native Node
- FAQs for Native Nodes
- Supernode management
- Registered Node Management
- Memory Compression Instructions
- GPU Share
- Kubernetes Object Management
- Overview
- Namespace
- Workload
- Deployment Management
- StatefulSet Management
- DaemonSet Management
- CronJob Management
- Job 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
- Service Management
- Ingress Management
- Storage Management
- Policy Management
- Application and Add-On Feature Management Description
- Add-On Management
- Add-on Overview
- Add-On Lifecycle Management
- Cluster Autoscaler
- OOMGuard
- NodeProblemDetectorPlus Add-on
- NodeLocalDNSCache
- DNSAutoscaler
- COS-CSI
- CFS-CSI
- CFSTURBO-CSI
- CBS-CSI Description
- UserGroupAccessControl
- TCR Introduction
- TCR Hosts Updater
- DynamicScheduler
- DeScheduler
- Network Policy
- Nginx-ingress
- HPC
- Description of tke-monitor-agent
- tke-log-agent
- GPU-Manager Add-on
- Helm Application
- Application Market
- Network Management
- Container Network Overview
- GlobalRouter Mode
- VPC-CNI Mode
- VPC-CNI Mode
- Multiple Pods with Shared ENI Mode
- Pods with Exclusive ENI Mode
- Static IP Address Mode Instructions
- Non-static IP Address Mode Instructions
- Interconnection Between VPC-CNI and Other Cloud Resources/IDC Resources
- Security Group of VPC-CNI Mode
- Instructions on Binding an EIP to a Pod
- VPC-CNI Component Description
- Limits on the Number of Pods in VPC-CNI Mode
- Cilium-Overlay Mode
- OPS Center
- Log Management
- Backup Center
- Remote Terminals
- TKE Serverless Cluster Guide
- TKE Registered Cluster Guide
- TKE Insight
- TKE Scheduling
- Cloud Native Service Guide
- Practical Tutorial
- Cluster
- Cluster Migration
- Serverless Cluster
- Security
- Service Deployment
- Network
- DNS
- Self-Built Nginx Ingress Practice Tutorial
- Quick Start
- Custom Load Balancer
- Enabling CLB Direct Connection
- Optimization for High Concurrency Scenarios
- High Availability Configuration Optimization
- Observability Integration
- Access to Tencent Cloud WAF
- Installing Multiple Nginx Ingress Controllers
- Migrating from TKE Nginx Ingress Plugin to Self-Built Nginx Ingress
- Complete Example of values.yaml Configuration
- Using Network Policy for Network Access Control
- Deploying NGINX Ingress on TKE
- Nginx Ingress High-Concurrency Practices
- Nginx Ingress Best 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
- 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
- Renewing a TKE Ingress Certificate
- Using cert-manager to Issue Free Certificates
- Using cert-manager to Issue Free Certificate for DNSPod Domain Name
- Using the TKE NPDPlus Plug-In to Enhance the Self-Healing Capability of Nodes
- Using kubecm to Manage Multiple Clusters kubeconfig
- Quick Troubleshooting Using TKE Audit and Event Services
- Customizing RBAC Authorization in TKE
- Clearing De-registered Tencent Cloud Account Resources
- Terraform
- 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
- Implementing elasticity based on traffic prediction with EHPA
- Implementing Horizontal Scaling based on CLB monitoring metrics using KEDA in TKE
- Containerization
- Microservice
- Cost Management
- Hybrid Cloud
- Fault Handling
- Disk Full
- High Workload
- Memory Fragmentation
- Cluster DNS Troubleshooting
- Cluster kube-proxy Troubleshooting
- Cluster API Server Inaccessibility Troubleshooting
- Service and Ingress Inaccessibility Troubleshooting
- Common Service & Ingress Errors and Solutions
- Engel Ingres appears in Connechtin Reverside
- CLB Ingress Creation Error
- Troubleshooting for Pod Network Inaccessibility
- Pod Status Exception and Handling
- Authorizing Tencent Cloud OPS Team for Troubleshooting
- CLB Loopback
- API Documentation
- History
- API Category
- Elastic Cluster APIs
- Resource Reserved Coupon APIs
- Cluster APIs
- AcquireClusterAdminRole
- CreateClusterEndpoint
- CreateClusterEndpointVip
- DeleteCluster
- DeleteClusterEndpoint
- DeleteClusterEndpointVip
- DescribeAvailableClusterVersion
- DescribeClusterAuthenticationOptions
- DescribeClusterCommonNames
- DescribeClusterEndpointStatus
- DescribeClusterEndpointVipStatus
- DescribeClusterEndpoints
- DescribeClusterKubeconfig
- DescribeClusterLevelAttribute
- DescribeClusterLevelChangeRecords
- DescribeClusterSecurity
- DescribeClusterStatus
- DescribeClusters
- DescribeEdgeAvailableExtraArgs
- DescribeEdgeClusterExtraArgs
- DescribeResourceUsage
- DisableClusterDeletionProtection
- EnableClusterDeletionProtection
- GetClusterLevelPrice
- GetUpgradeInstanceProgress
- ModifyClusterAttribute
- ModifyClusterAuthenticationOptions
- ModifyClusterEndpointSP
- UpgradeClusterInstances
- CreateBackupStorageLocation
- CreateCluster
- DeleteBackupStorageLocation
- DescribeBackupStorageLocations
- DescribeEncryptionStatus
- DisableEncryptionProtection
- EnableEncryptionProtection
- UpdateClusterKubeconfig
- UpdateClusterVersion
- Third-party Node APIs
- Network APIs
- Node APIs
- Node Pool APIs
- TKE Edge Cluster APIs
- CheckEdgeClusterCIDR
- DescribeAvailableTKEEdgeVersion
- DescribeECMInstances
- DescribeEdgeCVMInstances
- DescribeEdgeClusterInstances
- DescribeEdgeClusterUpgradeInfo
- DescribeTKEEdgeClusterStatus
- ForwardTKEEdgeApplicationRequestV3
- DescribeEdgeLogSwitches
- CreateECMInstances
- CreateEdgeCVMInstances
- CreateEdgeLogConfig
- DeleteECMInstances
- DeleteEdgeCVMInstances
- DeleteEdgeClusterInstances
- DeleteTKEEdgeCluster
- DescribeTKEEdgeClusterCredential
- DescribeTKEEdgeExternalKubeconfig
- DescribeTKEEdgeScript
- InstallEdgeLogAgent
- UninstallEdgeLogAgent
- UpdateEdgeClusterVersion
- DescribeTKEEdgeClusters
- CreateTKEEdgeCluster
- Cloud Native Monitoring APIs
- Scaling group APIs
- Super Node APIs
- Introduction
- Making API Requests
- Add-on APIs
- Other APIs
- Data Types
- Error Codes
- API Mapping Guide
- FAQs
- Service Agreement
- Contact Us
- Glossary
- User Guide(Old)
Overview
Component Overview
The Cluster Autoscaler (CA) component offers auto-scaling (AS) capabilities for clusters based on simulated scheduling algorithms. It supports adding new nodes when resources are scarce and removing old nodes when resources are idle.
Note
This component must be used in conjunction with a node pool, and now it supports native nodes and regular nodes.
To use this capability, ensure that the node pool has AS enabled.
Kubernetes objects deployed in a cluster
Kubernetes Object Name | Type | Resource Amount | Namespace |
cluster-autoscaler | PodDisruptionBudget | - | kube-system |
cluster-autoscaler | ServiceAccount | - | kube-system |
cluster-autoscaler | Secret | - | kube-system |
cluster-autoscaler | ClusterRole | - | - |
cluster-autoscaler | ClusterRoleBinding | - | - |
cluster-autoscaler | Role | - | kube-system |
cluster-autoscaler | RoleBinding | - | kube-system |
cluster-autoscaler | Service | - | kube-system |
cluster-autoscaler | Deployment | 0.5C1G (for new creations) | kube-system |
Application Scenario
When instances (pods) in the cluster cannot be scheduled due to insufficient resources, an auto scale-out action is triggered to add nodes of an appropriate type through simulated scheduling, reducing your labor costs.
When scale-in conditions are met, an auto scale-in action is triggered to remove nodes, saving you resource costs.
Limits
Kubernetes cluster version: 1.16 or later
Component Principles
Scale-out Principle
1. When the cluster lacks sufficient resources (the cluster's compute/storage/network resources cannot meet the Request/Affinity rules of pods), CA detects pods that are pending due to unschedulability.
2. CA makes scheduling decisions based on the node template of each node pool, selecting the appropriate node template.
3. If multiple templates are suitable, meaning there are multiple scalable node pools available, CA will call expanders to select the optimal template and scale out the corresponding node pool.
Scale-in Principle
1. CA detects that the allocation rate (namely, the Request value, which takes the maximum value of the CPU allocation rate and MEM allocation rate) is lower than the threshold specified for a node. When calculating the allocation rate, you can set the Daemonset type not to count in a pod's occupied resources.
2. CA checks whether the cluster's status meets the following requirements for triggering a scale-in action:
Node idle duration requirement (default: 10 minutes)
Cluster expansion buffer time requirement (default: 10 minutes)
3. CA checks whether a node meets the conditions for scale-in. You can configure the following do-not-remove conditions as needed (nodes that meet these conditions will not be removed by CA):
Nodes containing local storage.
Nodes containing pods that are not managed by DaemonSet in the kube-system namespace.
4. After evicting the pods on the node, CA releases/shuts down the node.
Completely idle nodes can be removed in batches. (The maximum number of nodes that can be removed in a batch can be set.)
Non-completely idle nodes are removed one by one.
Parameter description
Module | Functional Item | Parameter Value Description |
Scale-out | Scale-out Algorithm | **Random (default)**: If there are multiple scalable node pools, any one of them will be selected for scaling out. Most-pods: If there are multiple scalable node pools, the node pool running the highest number of pods will be selected for scaling out. Least-waste: If there are multiple scalable node pools, the node pool with the least resource waste will be selected for scaling out. Priority: If there are multiple scalable node pools, the node pool with higher priority will be selected for scaling out according to your custom ConfigMap (see below for details). This feature is only supported by native node pools and is ineffective for regular node pools. |
Scale-in | Maximum Concurrent Scale-downs | The number of nodes that can be removed in a batch during a scale-in action. Note: Only completely idle nodes are removed in a batch. Nodes that contain any pods are removed one by one. |
| Scale-in Conditions | Threshold: Scale-in conditions are evaluated when the percentage of resources occupied by pods to allocable resources is less than x%. |
| | Trigger latency: A node is removed after being continuously idle for x minutes. |
| | Silent period: Scale-in conditions are evaluated x minutes after the cluster is scaled out. |
| Do Not Scale Down Nodes | Nodes containing pods with local storage (including hostPath and emptyDir). Nodes containing pods that are not managed by DaemonSet in the kube-system namespace. |
###Using a Scale-out Algorithm Based on the Priority in Custom ConfigMap
Note
This feature is only supported by native node pools and is ineffective for regular node pools.
Priority values range from 1 to 100 and must be positive integers.
A node pool ID maps one and only one priority.
If the node pool ID is not configured in ConfigMap, even if scale-out requirements are met, the scale-out action will not be performed because the priority is not configured.
Below is a sample:
apiVersion: v1data:priorities: |-100:- np-l5wmakan #np-l5wmakan (node pool ID) has a priority of 100.50:- np-9r9rh7kp #np-9r9rh7kp (node pool ID) has a priority of 50.kind: ConfigMapmetadata:name: cluster-autoscaler-priority-expander #The name must be set to cluster-autoscaler-priority-expander.namespace: kube-system
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