tencent cloud

Overview
Last updated: 2025-03-24 18:25:04
Overview
Last updated: 2025-03-24 18:25:04

Definition

Native nodes are a new type of nodes that TKE provides for Kubernetes environments. Developed based on Tencent Cloud's technological experience in operations of ten million-core containers, native nodes provide users with native, highly stable, and fast-responding Kubernetes node management capabilities.

Benefits

Integrated with the FinOps principle, native nodes boost cost optimization of cloud resources

Provide the HouseKeeper visualized resource dashboard to improve resource utilization, reduce costs, and enhance efficiency.
Support request recommendation to avoid resource idling.
Provide dedicated dynamic scheduling capabilities with the following features:
Load balancing: Better balance the resource load on nodes based on the current load and load history.
Packing improvement: Increase the amount of schedulable node CPU and memory resources and improve the node packing rate to over 100%.
Business adjustment: Allow you to set an expected resource utilization rate and ensure continuous node scheduling to realize more centralized business resource deployment.

Native nodes provide multi-dimensional management capabilities to reduce operations workload

New Kubernetes operations model: Provide the declarative infrastructure API for users to manage nodes in the same way as workload management. You can manage nodes using the Kubernetes API, the Tencent Cloud API, or the TKE console.
Tencent’s intelligent operations system: Support operating system-, runtime-, and Kubernetes-level fault detection and automatic upgrade to reduce operations workload for users.
Based on Tencent Cloud’s cloud-native technology practices, parameters are tuned and adapted comprehensively at the operating system, runtime, and Kubernetes levels, significantly enhancing the node initialization stability.

Native Nodes vs. Normal Nodes

In general, native nodes provide all the capabilities that normal nodes have, with better performance. The following table compares the two types of nodes in details.
Module
Native Nodes
Normal Modes
Management mode
Node HouseKeeper mode: This mode provides resource management and stable operations capabilities to assist users in decision-making.
Serverful mode: Analysis, decision-making, and action are all conducted by users.
Declarative management of infrastructure
Not supported
In-place Pod configuration adjustment
Not supported
Custom configuration entries for kernel parameter tuning and other purposes
Not supported
Node self-heal
Tencent’s operating system-, Kubernetes-, and runtime-level fault detection and self-heal capabilities
NPD add-on (discontinued)
Scheduler
Schedulers dedicated for native nodes, supporting virtual scale-outs of schedulable resources
Dynamic Scheduler and DeScheduler
Request Recommendation
Recommendation and quick update
Not supported
Job occupation
Supported
Not supported
Manage Node
Kernel parameter configuration, nameserver parameter configuration, host parameter configuration, pre-request scripts, and post-request scripts
Not supported

Billing Modes

Native nodes support multiple types of Cloud Virtual Machine (CVM) instances. You can select appropriate instances to deploy based on your application scale and business characteristics. TKE charges resources (including CPU, memory, GPU, and system disk resources) consumed by native nodes according to the node type and resource specifications.
Native nodes supported the pay-as-you-go billing mode.
Billing Mode
Pay-as-you-go
Payment method
Postpaid (Fees are frozen upon purchase and settled hourly)
Billing unit
USD per second
Price
High
Minimum use duration
Billing per second and settlement per hour; resource purchase and release allowed at any time
Use case
Suitable for periodic computing scenarios such as transcoding, big data, and e-commerce flash sale campaigns, or tidal online service scenarios where Horizontal Pod Autoscaler (HPA) is enabled.

Regions and Availability Zones

You can use native nodes in the following regions.

China

Region
Region Abbreviation
China
Regions on the public cloud
Beijing
ap-beijing
Nanjing
ap-nanjing
Shanghai
ap-shanghai
Guangzhou
ap-guangzhou
Chengdu
ap-chengdu
Chongqing
ap-chongqing
Hong Kong (China)
ap-hongkong
Taipei (China)
ap-taipei

Other countries and regions

Region
Region Abbreviation
Asia Pacific
Regions on the public cloud
Singapore
ap-singapore
Jakarta
ap-jakarta
Seoul
ap-seoul
Bangkok
ap-bangkok
Tokyo
ap-tokyo
North America
Silicon Valley
na-siliconvalley
Virginia
na-ashburn
South America
São Paulo
sa-saopaulo
Europe
Frankfurt
eu-frankfurt

References

Note
For the convenience of management, we recommend that you use a node pool to create and manage a group of native nodes with the same parameter settings.
Creating Native Nodes: You can create a native node by using the TKE console, calling the Kubernetes API, or calling the TencentCloud API.
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