CCE Virtual Kubelet Component

CCE CCE

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CCE CCE

  • Function Release Records
  • Common Tools
    • Command Line Scenario Examples
  • API Reference
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    • General Description
  • Product Announcement
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      • 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
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      • Elastic and Fault-Tolerant Training Using CCE AITraining Operator
      • Deploy the TensorFlow Serving inference service
      • Best Practice for GPU Virtualization with Optimal Isolation
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      • Managing Node Tag
      • Drain node
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      • CCE Fluid Description
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      • CCE Ingress Controller Description
      • CCE QoS Agent Description
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      • CCE Credential Controller Description
      • CCE Deep Learning Frameworks Operator Description
      • Component Overview
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      • Description of Kube Controller Manager
      • CCE_Hybrid_Manager Description
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        • Accelerating Inference Business Using AIAK-Inference
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        • 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
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      • 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)
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        • Container network accesses the public network via NAT gateway
      • Network Maintenance
        • Common Error Code Table for CCE Container Network
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        • DNS Troubleshooting Guide
        • DNS Principle Overview
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      • Set Workload Auto-Scaling
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  • CCE Virtual Kubelet Component
Table of contents on this page
  • Component introduction
  • Applicable scenarios
  • Component function
  • Instructions for use
  • Prerequisites
  • Step I: Deploy the CCE Virtual Kubelet component
  • Step II: Schedule Pods to run on BCI
  • Start Pods on virtual nodes
  • Relevant operations
  • Upgrade the CCE Virtual Kubelet component<br>
  • Modify CCE virtual node configuration
  • Uninstall the CCE Virtual Kubelet component
  • Version records

CCE Virtual Kubelet Component

Updated at:2025-10-27

When you need to quickly create a large number of Pods in a short time, the scale-up speed of BCC nodes may not meet the requirements, while reserving additional BCC nodes will result in resource waste. You can install the CCE Virtual Kubelet component, which creates CCE virtual nodes to quickly schedule Pods to run on Baidu Container Instance (BCI) via CCE virtual nodes, without the need to purchase and manage BCC nodes.
This document introduces how to schedule Pods to run on BCI in K8S Cluster CCE (CCE standard managed clusters and CCE standard independent clusters).

Component introduction

The CCE Virtual Kubelet component is based on the community open-source project Virtual Kubelet, enabling seamless integration between Kubernetes and Baidu Container Instance (BCI). Kubernetes clusters can easily gain significant elastic capabilities without being limited by the node computing capacity of the cluster. You can flexibly create BCI Pods on demand without planning cluster capacity by yourself.
CCE Virtual Kubelet runs application Pods as Serverless containers (BCI), providing capabilities such as elasticity, capacity planning-free, on-demand usage and on-demand billing. In scenarios such as Job tasks, CI/CD, Spark big data computing and online application elasticity, it can significantly improve the elastic efficiency of application deployment and reduce the computing cost of applications.
image.png

Applicable scenarios

Running Pods on BCI is suitable for handling traffic surge and can also reduce computing costs. Typical scenarios include:

  • Online services with significant traffic fluctuations: For example, services like online education or e-commerce often have noticeable traffic peaks and valleys. Using BCI Pods enables quicker responses to traffic surges while reducing computing costs.
  • Non-continuously running computing tasks: Running computing tasks with BCI Pods eliminates the need to retain fixed nodes. You only need to pay for computing resources during task execution, reducing computing costs. For example:

    • Data computing: Spark big data computing
    • CI/CD Pipeline
    • Job tasks: This includes scheduled tasks and AI-related tasks.

Component function

image.png

Instructions for use

Prerequisites

  • A CCE standard managed cluster or CCE standard independent cluster has been created, and the cluster version is 1.18.9/1.20.8/1.22.5/1.24.4/1.26.9/1.28.8 If you need to create a new cluster, refer to Create Cluster.
  • The elastic container instance service has been activated, and it is confirmed that the region where the cluster is located is in the list of regions supported by BCI. Sign in to the Elastic Container Instance Console to activate the corresponding service and view the currently supported regions and availability zones.

Step I: Deploy the CCE Virtual Kubelet component

In the K8S Cluster CCE, deploy the CCE Virtual Kubelet component via the Component Management page. Follow the steps below based on the two cluster types:
image.png


Note: If you have installed cce-virtual-kubelet via a Helm template, installation via Component Management is not supported temporarily. If you want to install it via the component center, you can submit a ticket to contact us for assistance.

Step II: Schedule Pods to run on BCI

Start Pods on virtual nodes

Compared with regular pods, you need to add the following nodeSelector and tolerations fields to the Pod Spec to schedule the Pod to a virtual node.
Pod Spec example:

Plain Text
1spec:
2  nodeSelector:
3    type: "virtual-kubelet"
4  tolerations:
5  - key: "virtual-kubelet.io/provider"
6    operator: "Equal"
7    value: "baidu"
8    effect: "NoSchedule"

Pods scheduled to virtual nodes will be launched in BCI Pod format. For more introductions to BCI Pod configuration items, please refer to Configure BCI Pod.

Relevant operations

To use some advanced features of virtual nodes, you may need to upgrade the CCE Virtual Kubelet component or modify the CCE virtual node configuration later. When you no longer need to use virtual nodes, you can uninstall the CCE Virtual Kubelet component.

Upgrade the CCE Virtual Kubelet component

The upgrade takes about 1 minute. During the upgrade, new Pods cannot be created, but existing Pods are not affected. The upgrade steps are as follows:

  1. Log in to the Container Service Management Console and choose Clusters from the navigation menu on the left.
  2. In the Cluster List, click the name of your target cluster. Then, from the left navigation menu, go to Operations and Management > Component Management.
  3. In the core component section of the Component Management page, select the CCE Virtual Kubelet component, click Upgrade, and follow the on-screen instructions to complete the process.

Note: If the component is installed using a Helm template, upgrading via the component center is not supported temporarily; you can upgrade via the Helm template center. If you want to upgrade via the component center, you can Submit a Ticket to contact us for processing.

Modify CCE virtual node configuration

For operations on modifying the CCE virtual node configuration, please refer to Configure bci-profile.

Uninstall the CCE Virtual Kubelet component

  1. Log in to the Container Service Management Console and choose Clusters from the navigation menu on the left.
  2. In the Cluster List, click the name of your target cluster. Then, from the left navigation menu, go to Operations and Management > Component Management.
  3. In the core component area of the component management page, select the CCE Virtual Kubelet component, then click Uninstall and follow the prompts on the page to complete the operation. If there are still BCI Pods running on your virtual node, it will prompt that it cannot be uninstalled.

Version records

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