Kubernetes Version Overview and Mechanism

CCE CCE

  • Function Release Records
  • Common Tools
    • Command Line Scenario Examples
  • API Reference
    • Overview
    • Common Headers and Error Responses
    • General Description
  • Product Announcement
    • Announcement on the Discontinuation of CCE Standalone Clusters
    • CCE New Cluster Management Release Announcement
    • Upgrade Announcement for CCE Cluster Audit Component kube-external-auditor
    • CCE Console Upgrade Announcement
    • Announcement on Management Fees for CCE Managed Clusters
    • Container Runtime Version Release Notes
    • Announcement on the Decommissioning of CCE Image Repository
    • Kubernetes Version Release Notes
      • CCE Release of Kubernetes v1_26 History
      • CCE Kubernetes Version Update Notes
      • CCE Release of Kubernetes v1_24 History
      • CCE Release of Kubernetes v1_30 History
      • CCE Release of Kubernetes v1_22 History
      • CCE Release of Kubernetes v1_18 History
      • CCE Release of Kubernetes v1_20 History
      • CCE Release of Kubernetes v1_28 History
      • Release Notes for CCE Kubernetes 1_31 Version
      • Kubernetes Version Overview and Mechanism
    • Security Vulnerability Fix Announcement
      • Vulnerability CVE-2019-5736 Fix Announcement
      • Vulnerability CVE-2021-30465 Fix Announcement
      • CVE-2025-1097, CVE-2025-1098, and Other Vulnerabilities Fix Announcement
      • CVE-2020-14386 Vulnerability Fix Announcement
      • Impact Statement on runc Security Issue (CVE-2024-21626)
  • Service Level Agreement (SLA)
    • CCE Service Level Agreement SLA (V1_0)
  • Typical Practices
    • Pod Anomaly Troubleshooting
    • Adding CGroup V2 Node
    • Common Linux System Configuration Parameters Description
    • Encrypting etcd Data Using KMS
    • Configuring Container Network Parameters Using CNI
    • CCE - Public Network Access Practice
    • Practice of using private images in CCE clusters
    • Unified Access for Virtual Machines and Container Services via CCE Ingress
    • User Guide for Custom CNI Plugins
    • CCE Cluster Network Description and Planning
    • Cross-Cloud Application Migration to Baidu CCE Using Velero
    • CCE Resource Recommender User Documentation
    • Continuous Deployment with Jenkins in CCE Cluster
    • CCE Best Practice-Guestbook Setup
    • CCE Best Practice-Container Network Mode Selection
    • CCE Usage Checklist
    • VPC-ENI Mode Cluster Public Network Access Practice
    • CCE Container Runtime Selection
    • Cloud-native AI
      • Elastic and Fault-Tolerant Training Using CCE AITraining Operator
      • Deploy the TensorFlow Serving inference service
      • Best Practice for GPU Virtualization with Optimal Isolation
  • FAQs
    • How do business applications use load balancer
    • Using kubectl on Windows
    • Cluster management FAQs
    • Common Questions Overview
    • Auto scaling FAQs
    • Create a simple service via kubectl
  • Operation guide
    • Prerequisites for use
    • Identity and access management
    • Permission Management
      • Configure IAM Tag Permission Policy
      • Permission Overview
      • Configure IAM Custom Permission Policy
      • Configure Predefined RBAC Permission Policy
      • Configure IAM Predefined Permission Policy
      • Configure Cluster OIDC Authentication
    • Configuration Management
      • Configmap Management
      • Secret Management
    • Traffic access
      • BLB ingress annotation description
      • Use K8S_Service via CCE
      • Use K8S_Ingress via CCE
      • Implement Canary Release with CCE Based on Nginx-Ingress
      • Create CCE_Ingress via YAML
      • LoadBalancer Service Annotation Description
      • Service Reuses Existing Load Balancer BLB
      • Use Direct Pod Mode LoadBalancer Service
      • NGINX Ingress Configuration Reference
      • Create LoadBalancer_Service via YAML
      • Use NGINX Ingress
    • Virtual Node
      • Configuring BCIPod
      • Configuring bci-profile
      • Managing virtual nodes
    • Node management
      • Add a node
      • Managing Taints
      • Setting Node Blocking
      • Setting GPU Memory Sharing
      • Remove a node
      • Customizing Kubelet Parameters
      • Kubelet Container Monitor Read-Only Port Risk Warning
      • Managing Node Tag
      • Drain node
    • Component Management
      • CCE CSI CDS Plugin Description
      • CCE Fluid Description
      • CCE CSI PFS L2 Plugin
      • CCE Calico Felix Description
      • CCE Ingress Controller Description
      • CCE QoS Agent Description
      • CCE GPU Manager Description
      • CCE Ingress NGINX Controller Description
      • CCE P2P Accelerator Description
      • CCE Virtual Kubelet Component
      • CoreDNS Description
      • CCE Log Operator Description
      • CCE Node Remedier Description
      • CCE Descheduler Description
      • CCE Dynamic Scheduling Plugin Description
      • Kube Scheduler Documentation
      • CCE NPU Manager Description
      • CCE CronHPA Controller Description
      • CCE LB Controller Description
      • Kube ApiServer Description
      • CCE Backup Controller Description
      • CCE Network Plugin Description
      • CCE CSI PFS Plugin Description
      • CCE Credential Controller Description
      • CCE Deep Learning Frameworks Operator Description
      • Component Overview
      • CCE Image Accelerate Description
      • CCE CSI BOS Plugin Description
      • CCE Onepilot Description
      • Description of Kube Controller Manager
      • CCE_Hybrid_Manager Description
      • CCE NodeLocal DNSCache Description
      • CCE Node Problem Detector Description
      • CCE Ascend Mindx DL Description
      • CCE RDMA Device Plugin Description
      • CCE AI Job Scheduler Description
    • Image registry
      • Image Registry Basic Operations
      • Using Container Image to Build Services
    • Helm Management
      • Helm Template
      • Helm Instance
    • Cluster management
      • Upgrade Cluster Kubernetes Version
      • CCE Node CDS Dilatation
      • Managed Cluster Usage Instructions
      • Create cluster
      • CCE Supports GPUSharing Cluster
      • View Cluster
      • Connect to Cluster via kubectl
      • CCE Security Group
      • CCE Node Resource Reservation Instructions
      • Operate Cluster
      • Cluster Snapshot
    • Serverless Cluster
      • Product overview
      • Using Service in Serverless Cluster
      • Creating a Serverless Cluster
    • Storage Management
      • Using Cloud File System
      • Overview
      • Using Parallel File System PFS
      • Using RapidFS
      • Using Object Storage BOS
      • Using Parallel File System PFS L2
      • Using Local Storage
      • Using Cloud Disk CDS
    • Inspection and Diagnosis
      • Cluster Inspection
      • GPU Runtime Environment Check
      • Fault Diagnosis
    • Cloud-native AI
      • Cloud-Native AI Overview
      • AI Monitoring Dashboard
        • Connecting to a Prometheus Instance and Starting a Job
        • NVIDIA Chip Resource Observation
          • AI Job Scheduler component
          • GPU node resources
          • GPU workload resources
          • GPUManager component
          • GPU resource pool overview
        • Ascend Chip Resource Observation
          • Ascend resource pool overview
          • Ascend node resource
          • Ascend workload resource
      • Task Management
        • View Task Information
        • Create TensorFlow Task
        • Example of RDMA Distributed Training Based on NCCL
        • Create PaddlePaddle Task
        • Create AI Training Task
        • Delete task
        • Create PyTorch Task
        • Create Mxnet Task
      • Queue Management
        • Modify Queue
        • Create Queue
        • Usage Instructions for Logical Queues and Physical Queues
        • Queue deletion
      • Dataset Management
        • Create Dataset
        • Delete dataset
        • View Dataset
        • Operate Dataset
      • AI Acceleration Kit
        • AIAK Introduction
        • Using AIAK-Training PyTorch Edition
        • Deploying Distributed Training Tasks Using AIAK-Training
        • Accelerating Inference Business Using AIAK-Inference
      • GPU Virtualization
        • GPU Exclusive and Shared Usage Instructions
        • Image Build Precautions in Shared GPU Scenarios
        • Instructions for Multi-GPU Usage in Single-GPU Containers
        • GPU Virtualization Adaptation Table
        • GPU Online and Offline Mixed Usage Instructions
        • MPS Best Practices & Precautions
        • Precautions for Disabling Node Video Memory Sharing
    • Elastic Scaling
      • Container Timing Horizontal Scaling (CronHPA)
      • Container Horizontal Scaling (HPA)
      • Implementing Second-Level Elastic Scaling with cce-autoscaling-placeholder
      • CCE Cluster Node Auto-Scaling
    • Network Management
      • How to Continue Dilatation When Container Network Segment Space Is Exhausted (VPC-ENI Mode)
      • Container Access to External Services in CCE Clusters
      • CCE supports dual-stack networks of IPv4 and IPv6
      • Using NetworkPolicy Network Policy
      • Traffic Forwarding Configuration for Containers in Peering Connections Scenarios
      • CCE IP Masquerade Agent User Guide
      • Creating VPC-ENI Mode Cluster
      • How to Continue Dilatation When Container Network Segment Space Is Exhausted (VPC Network Mode)
      • Using NetworkPolicy in CCE Clusters
      • Network Orchestration
        • Container Network QoS Management
        • VPC-ENI Specified Subnet IP Allocation (Container Network v2)
        • Cluster Pod Subnet Topology Distribution (Container Network v2)
      • Network Connectivity
        • Container network accesses the public network via NAT gateway
      • Network Maintenance
        • Common Error Code Table for CCE Container Network
      • DNS
        • CoreDNS Component Manual Dilatation Guide
        • DNS Troubleshooting Guide
        • DNS Principle Overview
    • Namespace Management
      • Set Limit Range
      • Set Resource Quota
      • Basic Namespace Operations
    • Workload
      • CronJob Management
      • Set Workload Auto-Scaling
      • Deployment Management
      • Job Management
      • View the Pod
      • StatefulSet Management
      • Password-Free Pull of Container Image
      • Create Workload Using Private Image
      • DaemonSet Management
    • Monitor Logs
      • Monitor Cluster with Prometheus
      • CCE Event Center
      • Cluster Service Profiling
      • CCE Cluster Anomaly Event Alerts
      • Java Application Monitor
      • Cluster Audit Dashboard
      • Logging
      • Cluster Audit
      • Log Center
        • Configure Collection Rules Using CRD
        • View Cluster Control Plane Logs
        • View Business Logs
        • Log Overview
        • Configure Collection Rules in Cloud Container Engine Console
    • Application management
      • Overview
      • Secret
      • Configuration dictionary
      • Deployment
      • Service
      • Pod
    • NodeGroup Management
      • NodeGroup Management
      • NodeGroup Node Fault Detection and Self-Healing
      • Configuring Scaling Policies
      • NodeGroup Introduction
      • Adding Existing External Nodes
      • Custom NodeGroup Kubelet Configuration
      • Adding Alternative Models
      • Dilatation NodeGroup
    • Backup Center
      • Restore Management
      • Backup Overview
      • Backup Management
      • Backup repository
  • Quick Start
    • Quick Deployment of Nginx Application
    • CCE Container Engine Usage Process Overview
  • Product pricing
    • Product pricing
  • Product Description
    • Application scenarios
    • Introduction
    • Usage restrictions
    • Features
    • Advantages
    • Core concepts
  • Solution-Fabric
    • Fabric Solution
  • Development Guide
    • EFK Log Collection System Deployment Guide
    • Using Network Policy in CCE Cluster
    • Creating a LoadBalancer-Type Service
    • Prometheus Monitoring System Deployment Guide
    • kubectl Management Configuration
  • API_V2 Reference
    • Overview
    • Common Headers and Error Responses
    • Cluster Related Interfaces
    • Instance Related Interfaces
    • Service domain
    • General Description
    • Kubeconfig Related Interfaces
    • RBAC Related Interfaces
    • Autoscaler Related Interfaces
    • Network Related Interfaces
    • InstanceGroup Related Interfaces
    • Appendix
    • Component management-related APIs
    • Package adaptation-related APIs
    • Task Related Interfaces
  • Solution-Xchain
    • Hyperchain Solution
  • SDK
    • Go-SDK
      • Overview
      • NodeGroup Management
      • Initialization
      • Install the SDK Package
      • Cluster management
      • Node management
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CCE CCE

  • Function Release Records
  • Common Tools
    • Command Line Scenario Examples
  • API Reference
    • Overview
    • Common Headers and Error Responses
    • General Description
  • Product Announcement
    • Announcement on the Discontinuation of CCE Standalone Clusters
    • CCE New Cluster Management Release Announcement
    • Upgrade Announcement for CCE Cluster Audit Component kube-external-auditor
    • CCE Console Upgrade Announcement
    • Announcement on Management Fees for CCE Managed Clusters
    • Container Runtime Version Release Notes
    • Announcement on the Decommissioning of CCE Image Repository
    • Kubernetes Version Release Notes
      • CCE Release of Kubernetes v1_26 History
      • CCE Kubernetes Version Update Notes
      • CCE Release of Kubernetes v1_24 History
      • CCE Release of Kubernetes v1_30 History
      • CCE Release of Kubernetes v1_22 History
      • CCE Release of Kubernetes v1_18 History
      • CCE Release of Kubernetes v1_20 History
      • CCE Release of Kubernetes v1_28 History
      • Release Notes for CCE Kubernetes 1_31 Version
      • Kubernetes Version Overview and Mechanism
    • Security Vulnerability Fix Announcement
      • Vulnerability CVE-2019-5736 Fix Announcement
      • Vulnerability CVE-2021-30465 Fix Announcement
      • CVE-2025-1097, CVE-2025-1098, and Other Vulnerabilities Fix Announcement
      • CVE-2020-14386 Vulnerability Fix Announcement
      • Impact Statement on runc Security Issue (CVE-2024-21626)
  • Service Level Agreement (SLA)
    • CCE Service Level Agreement SLA (V1_0)
  • Typical Practices
    • Pod Anomaly Troubleshooting
    • Adding CGroup V2 Node
    • Common Linux System Configuration Parameters Description
    • Encrypting etcd Data Using KMS
    • Configuring Container Network Parameters Using CNI
    • CCE - Public Network Access Practice
    • Practice of using private images in CCE clusters
    • Unified Access for Virtual Machines and Container Services via CCE Ingress
    • User Guide for Custom CNI Plugins
    • CCE Cluster Network Description and Planning
    • Cross-Cloud Application Migration to Baidu CCE Using Velero
    • CCE Resource Recommender User Documentation
    • Continuous Deployment with Jenkins in CCE Cluster
    • CCE Best Practice-Guestbook Setup
    • CCE Best Practice-Container Network Mode Selection
    • CCE Usage Checklist
    • VPC-ENI Mode Cluster Public Network Access Practice
    • CCE Container Runtime Selection
    • Cloud-native AI
      • Elastic and Fault-Tolerant Training Using CCE AITraining Operator
      • Deploy the TensorFlow Serving inference service
      • Best Practice for GPU Virtualization with Optimal Isolation
  • FAQs
    • How do business applications use load balancer
    • Using kubectl on Windows
    • Cluster management FAQs
    • Common Questions Overview
    • Auto scaling FAQs
    • Create a simple service via kubectl
  • Operation guide
    • Prerequisites for use
    • Identity and access management
    • Permission Management
      • Configure IAM Tag Permission Policy
      • Permission Overview
      • Configure IAM Custom Permission Policy
      • Configure Predefined RBAC Permission Policy
      • Configure IAM Predefined Permission Policy
      • Configure Cluster OIDC Authentication
    • Configuration Management
      • Configmap Management
      • Secret Management
    • Traffic access
      • BLB ingress annotation description
      • Use K8S_Service via CCE
      • Use K8S_Ingress via CCE
      • Implement Canary Release with CCE Based on Nginx-Ingress
      • Create CCE_Ingress via YAML
      • LoadBalancer Service Annotation Description
      • Service Reuses Existing Load Balancer BLB
      • Use Direct Pod Mode LoadBalancer Service
      • NGINX Ingress Configuration Reference
      • Create LoadBalancer_Service via YAML
      • Use NGINX Ingress
    • Virtual Node
      • Configuring BCIPod
      • Configuring bci-profile
      • Managing virtual nodes
    • Node management
      • Add a node
      • Managing Taints
      • Setting Node Blocking
      • Setting GPU Memory Sharing
      • Remove a node
      • Customizing Kubelet Parameters
      • Kubelet Container Monitor Read-Only Port Risk Warning
      • Managing Node Tag
      • Drain node
    • Component Management
      • CCE CSI CDS Plugin Description
      • CCE Fluid Description
      • CCE CSI PFS L2 Plugin
      • CCE Calico Felix Description
      • CCE Ingress Controller Description
      • CCE QoS Agent Description
      • CCE GPU Manager Description
      • CCE Ingress NGINX Controller Description
      • CCE P2P Accelerator Description
      • CCE Virtual Kubelet Component
      • CoreDNS Description
      • CCE Log Operator Description
      • CCE Node Remedier Description
      • CCE Descheduler Description
      • CCE Dynamic Scheduling Plugin Description
      • Kube Scheduler Documentation
      • CCE NPU Manager Description
      • CCE CronHPA Controller Description
      • CCE LB Controller Description
      • Kube ApiServer Description
      • CCE Backup Controller Description
      • CCE Network Plugin Description
      • CCE CSI PFS Plugin Description
      • CCE Credential Controller Description
      • CCE Deep Learning Frameworks Operator Description
      • Component Overview
      • CCE Image Accelerate Description
      • CCE CSI BOS Plugin Description
      • CCE Onepilot Description
      • Description of Kube Controller Manager
      • CCE_Hybrid_Manager Description
      • CCE NodeLocal DNSCache Description
      • CCE Node Problem Detector Description
      • CCE Ascend Mindx DL Description
      • CCE RDMA Device Plugin Description
      • CCE AI Job Scheduler Description
    • Image registry
      • Image Registry Basic Operations
      • Using Container Image to Build Services
    • Helm Management
      • Helm Template
      • Helm Instance
    • Cluster management
      • Upgrade Cluster Kubernetes Version
      • CCE Node CDS Dilatation
      • Managed Cluster Usage Instructions
      • Create cluster
      • CCE Supports GPUSharing Cluster
      • View Cluster
      • Connect to Cluster via kubectl
      • CCE Security Group
      • CCE Node Resource Reservation Instructions
      • Operate Cluster
      • Cluster Snapshot
    • Serverless Cluster
      • Product overview
      • Using Service in Serverless Cluster
      • Creating a Serverless Cluster
    • Storage Management
      • Using Cloud File System
      • Overview
      • Using Parallel File System PFS
      • Using RapidFS
      • Using Object Storage BOS
      • Using Parallel File System PFS L2
      • Using Local Storage
      • Using Cloud Disk CDS
    • Inspection and Diagnosis
      • Cluster Inspection
      • GPU Runtime Environment Check
      • Fault Diagnosis
    • Cloud-native AI
      • Cloud-Native AI Overview
      • AI Monitoring Dashboard
        • Connecting to a Prometheus Instance and Starting a Job
        • NVIDIA Chip Resource Observation
          • AI Job Scheduler component
          • GPU node resources
          • GPU workload resources
          • GPUManager component
          • GPU resource pool overview
        • Ascend Chip Resource Observation
          • Ascend resource pool overview
          • Ascend node resource
          • Ascend workload resource
      • Task Management
        • View Task Information
        • Create TensorFlow Task
        • Example of RDMA Distributed Training Based on NCCL
        • Create PaddlePaddle Task
        • Create AI Training Task
        • Delete task
        • Create PyTorch Task
        • Create Mxnet Task
      • Queue Management
        • Modify Queue
        • Create Queue
        • Usage Instructions for Logical Queues and Physical Queues
        • Queue deletion
      • Dataset Management
        • Create Dataset
        • Delete dataset
        • View Dataset
        • Operate Dataset
      • AI Acceleration Kit
        • AIAK Introduction
        • Using AIAK-Training PyTorch Edition
        • Deploying Distributed Training Tasks Using AIAK-Training
        • Accelerating Inference Business Using AIAK-Inference
      • GPU Virtualization
        • GPU Exclusive and Shared Usage Instructions
        • Image Build Precautions in Shared GPU Scenarios
        • Instructions for Multi-GPU Usage in Single-GPU Containers
        • GPU Virtualization Adaptation Table
        • GPU Online and Offline Mixed Usage Instructions
        • MPS Best Practices & Precautions
        • Precautions for Disabling Node Video Memory Sharing
    • Elastic Scaling
      • Container Timing Horizontal Scaling (CronHPA)
      • Container Horizontal Scaling (HPA)
      • Implementing Second-Level Elastic Scaling with cce-autoscaling-placeholder
      • CCE Cluster Node Auto-Scaling
    • Network Management
      • How to Continue Dilatation When Container Network Segment Space Is Exhausted (VPC-ENI Mode)
      • Container Access to External Services in CCE Clusters
      • CCE supports dual-stack networks of IPv4 and IPv6
      • Using NetworkPolicy Network Policy
      • Traffic Forwarding Configuration for Containers in Peering Connections Scenarios
      • CCE IP Masquerade Agent User Guide
      • Creating VPC-ENI Mode Cluster
      • How to Continue Dilatation When Container Network Segment Space Is Exhausted (VPC Network Mode)
      • Using NetworkPolicy in CCE Clusters
      • Network Orchestration
        • Container Network QoS Management
        • VPC-ENI Specified Subnet IP Allocation (Container Network v2)
        • Cluster Pod Subnet Topology Distribution (Container Network v2)
      • Network Connectivity
        • Container network accesses the public network via NAT gateway
      • Network Maintenance
        • Common Error Code Table for CCE Container Network
      • DNS
        • CoreDNS Component Manual Dilatation Guide
        • DNS Troubleshooting Guide
        • DNS Principle Overview
    • Namespace Management
      • Set Limit Range
      • Set Resource Quota
      • Basic Namespace Operations
    • Workload
      • CronJob Management
      • Set Workload Auto-Scaling
      • Deployment Management
      • Job Management
      • View the Pod
      • StatefulSet Management
      • Password-Free Pull of Container Image
      • Create Workload Using Private Image
      • DaemonSet Management
    • Monitor Logs
      • Monitor Cluster with Prometheus
      • CCE Event Center
      • Cluster Service Profiling
      • CCE Cluster Anomaly Event Alerts
      • Java Application Monitor
      • Cluster Audit Dashboard
      • Logging
      • Cluster Audit
      • Log Center
        • Configure Collection Rules Using CRD
        • View Cluster Control Plane Logs
        • View Business Logs
        • Log Overview
        • Configure Collection Rules in Cloud Container Engine Console
    • Application management
      • Overview
      • Secret
      • Configuration dictionary
      • Deployment
      • Service
      • Pod
    • NodeGroup Management
      • NodeGroup Management
      • NodeGroup Node Fault Detection and Self-Healing
      • Configuring Scaling Policies
      • NodeGroup Introduction
      • Adding Existing External Nodes
      • Custom NodeGroup Kubelet Configuration
      • Adding Alternative Models
      • Dilatation NodeGroup
    • Backup Center
      • Restore Management
      • Backup Overview
      • Backup Management
      • Backup repository
  • Quick Start
    • Quick Deployment of Nginx Application
    • CCE Container Engine Usage Process Overview
  • Product pricing
    • Product pricing
  • Product Description
    • Application scenarios
    • Introduction
    • Usage restrictions
    • Features
    • Advantages
    • Core concepts
  • Solution-Fabric
    • Fabric Solution
  • Development Guide
    • EFK Log Collection System Deployment Guide
    • Using Network Policy in CCE Cluster
    • Creating a LoadBalancer-Type Service
    • Prometheus Monitoring System Deployment Guide
    • kubectl Management Configuration
  • API_V2 Reference
    • Overview
    • Common Headers and Error Responses
    • Cluster Related Interfaces
    • Instance Related Interfaces
    • Service domain
    • General Description
    • Kubeconfig Related Interfaces
    • RBAC Related Interfaces
    • Autoscaler Related Interfaces
    • Network Related Interfaces
    • InstanceGroup Related Interfaces
    • Appendix
    • Component management-related APIs
    • Package adaptation-related APIs
    • Task Related Interfaces
  • Solution-Xchain
    • Hyperchain Solution
  • SDK
    • Go-SDK
      • Overview
      • NodeGroup Management
      • Initialization
      • Install the SDK Package
      • Cluster management
      • Node management
  • Document center
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  • CCECCE
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  • Product Announcement
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  • Kubernetes Version Release Notes
  • arrow
  • Kubernetes Version Overview and Mechanism
Table of contents on this page
  • Version release
  • Version No. description
  • Version lifecycle
  • Version support strategy
  • Risks of outdated versions
  • Forced upgrade of outdated versions
  • FAQs
  • Can I choose not to upgrade the cluster version and stay on one version forever?
  • My cluster version is very old. How can I quickly upgrade my cluster version?
  • Does CCE support upgrading across multiple versions?
  • How does CCE ensure the stability of cluster upgrades?
  • What are the considerations for cluster upgrades?

Kubernetes Version Overview and Mechanism

Updated at：2025-10-27

Kubernetes community releases a minor version every 4 months approximately. CCE clusters in Kubernetes version will realize the Kubernetes version iterations according to the version release schedule of the community, including version creation, maintenance and end-of-life.

This document introduces CCE Kubernetes version support mechanism, including version release and support status, version lifecycle description, version support strategy, etc.

Version release

The detailed information about the Kubernetes versions supported by CCE managed clusters and CCE standalone clusters is as follows.

Version Status CCE Release Time CCE End-of-Life Time
1.31 Released July 2025 July 2026
Important:
 Since Version 1.31, CCE has expanded the Kubernetes version support scope from only supporting even minor versions (e.g., 1.28, 1.30, etc.) to supporting all minor versions. Additionally, for minor versions 1.31 and later, the CCE support cycle has been adjusted to 1 year.		




1.30
Released
August 2024
March 2026




1.28
Released
June 2024
November 2025








End-of-Life versions


Important:
 Outdated version clusters pose security and stability risks. Please refer to Manual Cluster Upgrade to promptly upgrade clusters to versions in maintenance.






Version
Status
CCE Release Time
CCE End-of-Life Time






1.26
End-of-Life
February 2024
February 2025




1.24
End-of-Life
April 2023
April 2023




1.22
End-of-Life
November 2022
November 2023




1.20
End-of-Life
June 2022
June 2023




1.18
End-of-Life
November 2021
November 2022




1.16
End-of-Life
June 2021
June 2022




1.14
End-of-Life
October 2020
October 2021




1.12
End-of-Life
July 2020
July 2021








Version No. description


image.png


The CCE cluster follows the expression format of community Kubernetes version, which is x.y.z-baiduyun.n.


Where, x indicates the major version, y indicates the minor version, and z indicates the patch version.


baidu.n indicates the Baidu AI Cloud Patch Version (CCE patch version), which is optional and may or may not be present depending on the situation.


Version lifecycle


After the Kubernetes community releases a new minor version, CCE will conduct risk assessment and conformance testing for this version. Once completed, it will open up the creation and upgrade for the new version.


After the Kubernetes community releases a new patch version for a minor version, CCE will determine whether to release an upgrade for that patch version based on the risk level of the issues it fixes. For patch versions addressing high-risk security vulnerabilities, CCE typically completes evaluation and verification within 24 hours, after which it will open up the creation and upgrade operations for the new version.


Version support strategy


    

  • Cluster Creation: CCE supports creating clusters for the three most recent Kubernetes minor versions. For example, the three most recent minor versions are 1.31, 1.30, and 1.28. After CCE supports version 1.31, version 1.26 will no longer be available for creation, and the outdated patch versions will also no longer be available for creation. When a new patch version is released for a minor version, the older patch versions of that minor version will no longer be available for creation. For example, after version 1.30.7 is released, version 1.30.1 will no longer support new creations.
    • 

  • Cluster Upgrade: The version upgrade function currently only supports upgrading version step by step, does not support upgrading across multiple versions, and does not support version rollback. For example, if your CCE cluster Kubernetes version is 1.28 and you want to upgrade it to 1.31, you will need to perform two cluster upgrades, namely first to 1.30 and then to 1.31. For patch versions, the cluster upgrades only support upgrading to the latest patch version and do not support upgrading to outdated patch versions.
    • 

  • Technical Support: For versions still maintained by CCE, the technical support provided by CCE includes answering questions, online guidance, troubleshooting, and debugging.

    • 



Risks of outdated versions


New CCE cluster versions are typically maintained for one year after release. Versions beyond the maintenance period are considered outdated.


The outdated version clusters pose security risks and stability issues. After a cluster version becomes outdated, it will no longer benefit from the functional features and bug fixes supported by new Kubernetes versions, and will not receive timely and effective technical support, facing the risk of unfixed security vulnerabilities.


You need to upgrade the cluster to a secure and stable version.


    

  • Manual Cluster Upgrade: Upgrade versions step by step to the latest version. You can control the upgrade pace by specifying nodes to be upgraded, setting the maximum count of nodes that can be upgraded per batch, configuring upgrade intervals, and pause policies.
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  • Automatic Cluster Upgrade: Enable the automatic cluster upgrade function and choose a reasonable upgrade frequency to keep the cluster periodically upgraded. Coming soon, stay tuned.

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Forced upgrade of outdated versions


Kubernetes community does not disclose CVE risks or provide patch fixes for versions beyond their maintenance period (usually 1 year), and the potential security risks in outdated versions may not be detected and fixed in time. Since CCE clusters primarily adopt a managed architecture, these security risks may not only affect your cluster but also the overall security of Baidu AI Cloud. Therefore, CCE does not allow clusters to remain in an outdated state for an extended period and will enforce upgrades to bring clusters to a secure and stable version.


After a cluster version is outdated, CCE will not immediately enforce an upgrade. It is recommended to manually upgrade the cluster to a secure and stable version. Before performing a forced upgrade, CCE will notify you at least one month in advance via SMS, email, or in-site messages.


When forcing a cluster version upgrade, the following contents will be upgraded:


    

  • Upgrade the cluster components (only components with compatibility issues with higher cluster versions will be upgraded).
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  • Upgrade the cluster control plane.
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  • Upgrade the node pools and nodes.
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FAQs


Can I choose not to upgrade the cluster version and stay on one version forever?


No. The potential security risks in outdated versions may not only affect your cluster but also the overall security of Baidu AI Cloud. CCE does not allow clusters to remain in an outdated state for an extended period and will enforce upgrades to bring clusters to a secure and stable version.


Please upgrade your cluster version promptly (Manual Cluster Upgrade) to enjoy the latest functional features and better technical support provided by CCE.


My cluster version is very old. How can I quickly upgrade my cluster version?


You can achieve this through the following two solutions.


    

  • Solution I: Upgrade versions step by step. After each upgrade, observe whether the cluster services continue to run stably before proceeding with the next upgrade. For specific operations, refer to Manual Cluster Upgrade.
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  • Solution II: Create a new cluster with the latest version, gradually migrate the cluster applications to the new cluster, and then decommission the old cluster. For instructions on how to create and configure a cluster, refer to Create a CCE Managed Cluster.
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Does CCE support upgrading across multiple versions?


CCE does not support upgrading across minor versions. You need to upgrade versions step by step. Additionally, before upgrading the cluster control plane, ensure that the versions of the cluster nodes match the control plane version.


How does CCE ensure the stability of cluster upgrades?


A CCE cluster consists of two parts: the control plane and the node pool.


    

  • Control Plane Upgrade: CCE provides a pre-check function before upgrade to check the deprecated APIs, component compatibility, function configuration compatibility, and control plane components. The check results do not affect the normal operation of services in the cluster. If the check results are abnormal, refer to the console for repair suggestions. For more information, refer to Manual Cluster Upgrade.
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  • Node Pool Upgrade: The node pool upgrades include upgrading kubelet and containerd. CCE provides a pre-check function before upgrade to check the node status, system resources, disk status, and network environment. The check results do not affect the normal operation of services in the cluster. If the check results are abnormal, refer to the console for repair suggestions. You can also configure upgrade policies, such as specifying nodes to be upgraded, setting the maximum count of nodes that can be upgraded per batch, or configuring upgrade pause policies to control the upgrade pace. If there is critical business data on the node system disk, you can create snapshots for the nodes before upgrading the node pool.
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What are the considerations for cluster upgrades?


    

  • Cluster upgrades do not support rollback. It is recommended to upgrade the test environment first and verify its stability before upgrading the production environment.
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  • Each Kubernetes version supports different component versions, functional features, and functional deprecations. Refer to the release notes for different versions.
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