- 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
Add-ons are extended feature packages provided by Tencent Cloud TKE. You can deploy add-ons based on your business requirements. Add-ons can help you manage Kubernetes components in clusters, including component deployment, upgrades, configuration updates, and removal.
Add-on Types
There are two types of add-ons: basic add-ons and advanced add-ons.
Basic add-ons
Basic add-ons are software packages that TKE features depend on. For example, the CLB add-ons Service-controller and CLB-ingress-controller, and the TKE network add-on tke-cni-agent.
Note：
- The upgrade and configuration management of basic add-ons are fully managed by TKE. We recommend that you do not modify basic add-ons.
- When basic add-ons are updated, you will be notified by email and SMS.
Advanced add-ons
Advanced add-ons are optional add-ons provided by TKE. You can deploy such add-ons to use the advanced features supported by TKE. The following table describes the advanced add-ons:
| Add-on | Application Scenario | Add-on Description |
|---|---|---|
| OOMGuard (Out of Memory (OOM) guard) |
Monitoring | This add-on reduces the chance of various kernel failures triggered by cgroup memory reclamation failures in the user mode. |
| NodeProblemDetectorPlus (node exception detection plus) |
Monitoring | This add-on can detect various exceptions on nodes in real time and report the detection results to kube-apiserver. |
| NodeLocalDNSCache (local DNS cache add-on) |
DNS | This add-on runs on cluster nodes as a DaemonSet and as a DNS cache proxy to enhance the DNS performance of clusters. |
| DNSAutoscaler (DNS horizontal autoscaling add-on) |
DNS | This add-on obtains the number of nodes and cores of a cluster through a deployment and then automatically scales the number of DNS replicas according to preset scaling policies. |
| COS-CSI (Tencent Cloud Object Storage) |
Storage | This add-on implements the CSI API to help TKE clusters use Tencent COS. |
| CFS-CSI (Tencent Cloud File Storage) |
Storage | This add-on implements the CSI API to help TKE clusters use Tencent CFS. |
| CBS-CSI (Tencent Cloud Cloud Block Storage) |
Storage | This add-on implements the CSI API to allow you to select the storage class and create the corresponding PVs and PVCs of the CBS type in a TKE cluster on the console. |
| TCR (TCR add-on) |
Images | This add-on automatically configures the private network resolution of domain names and cluster-specific access credentials of the specified TCR instance. It can be used for private-network and secret-free pulling of container images. |
| P2P (accelerated distribution of container images) |
Images | Based on the P2P technology, this add-on can be used to accelerate the pulling of GB-level container images by massive TKE clusters and support concurrent pulling by thousands of nodes. |
| GpuManager (GPU management add-on) |
Others | This add-on provides an all-in-one GPU manager that allows you to use GPU resources in a TKE cluster in a fine-grained manner. |
| Helm (Helm app management add-on) |
Others | This add-on can quickly deploy a community software package in a TKE cluster. It enables users to visually create, read, update, and delete Helm Charts in a specified cluster. |
| Dynamic Scheduler (dynamic scheduling add-on) |
Scheduling | Dynamic Scheduler is an add-on provided by TKE for pre-selection and preferential selection based on actual node loads. It is implemented based on the native Kube-scheduler Extender mechanism of Kubernetes. After being installed in a TKE cluster, this add-on will effectively prevent node load imbalances caused by the native scheduler through the request and limit scheduling mechanisms. |
| Descheduler (rescheduling add-on) |
Scheduling | After being installed in a TKE cluster, this add-on will work with Kube-scheduler to monitor the high-load nodes in the cluster in real time and drain low-priority Pods. We recommend that you use it together with the TKE Dynamic Scheduler add-on to ensure cluster load balancing in multiple dimensions. |
| NetworkPolicy Controller (network policy controller add-on) |
Others | Network Policy is a resource provided by Kubernetes. This add-on provides a controller for implementing resources of this type. |
| Nginx-Ingress (community Ingress add-on) |
Others | Nginx can be used as a reverse proxy, load balancer, and for HTTP caching. Nginx-ingress is an Ingress controller for Kubernetes that uses NGINX as a reverse proxy and load balancer. |
| OLM (Operator Lifecycle Management) |
Others | OLM (Operator Lifecycle Manager) is part of the Operator Framework, which helps users install, update, and manage the lifecycle of Operators. |
| HPC (modifying the number of replicas periodically) |
Others | HorizontalPodCronscaler (HPC) is an add-on to modify the number of replicas of K8s workload periodically. Used in conjunction with HPC CRD resources, it can support scheduled actions in seconds. |
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