Product Advantages
Ease of Use
High Performance
Enterprise-Ready
Open Compatibility

Ease of Use

One-click cluster creation; one-stop deployment and O&M of containerized applications; easy to connect, secure, control, and observe services through Istio.

Enterprise-Ready

High availability (HA) on the cluster control plane and cross-AZ deployment of nodes and applications in a cluster; private clusters with role-based access control.

High Performance

At least a three- to five-fold increase in AI computing performance thanks to bare-metal NUMA and high-speed InfiniBand NICs; support for bare-metal and GPU servers.

Open Compatibility

A founder and premium member of CNCF, a K8S TOC representative, one of the first CNCF-certified K8S service providers, and a top contributor to K8S/Docker.

Application Scenarios
  • Auto Scaling

  • Traffic Management

  • DevOps Delivery

  • Hybrid Cloud

  • AI Computing

Auto Scaling

Auto Cluster Scaling

Computing resources can be adjusted based on service requirements and preset strategies. The number of cloud servers or containers increases or decreases with service traffic changes, ensuring service stability.

Advantages

Flexibility

Offer multiple scaling policies and scale containers in seconds when specified conditions are met.

High Availability

Automatically detect the statuses of pods in auto-scaling groups and replace unhealthy pods with new ones.

Low Cost

Charge you only for the cloud servers that you use.

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Traffic Management

Traffic Management Through Istio

Istio's out-of-the-box traffic management feature allows you to complete staged rollouts, observe your traffic, and control the flow of traffic without needing to change code.

Advantages

Out-of-the-Box Usability

Istio can be installed in just a few clicks and works seamlessly with CCE.

Intelligent Routing

HTTP/TCP connection policies and security policies can be enforced without requiring you to rewrite code.

Visibility into Traffic

Graphical representations of application topology offer immediate insight into traffic health and service performance.

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DevOps Delivery

One-Stop Container Delivery

CCE can work with existing continuous integration and continuous delivery (CI/CD) pipelines to automatically complete code compilation, image building, dark launching, and containerization based on source code.

Advantages

Efficient Process Management

Reduce scripting workload by more than 80% through streamlined process interaction.

Flexible Integration

Provide various APIs to integrate with existing CI/CD systems, greatly facilitating customization.

High Performance

Schedule tasks flexibly with a fully containerized architecture.

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Hybrid Cloud

Hybrid Cloud

Applications and data can be seamlessly migrated between your on-premises network and the cloud, facilitating resource scheduling and disaster recovery (DR). This is made possible through environment-independent containers, network connectivity between private and public clouds, and the ability to collectively manage containers on CCE and your private cloud.

Advantages

Reduced Costs

The HUAWEI CLOUD resource pool supports rapid capacity expansion during peak hours, for only a fraction of the cost involved in building private clouds from scratch.

On-Cloud DR

The service system is deployed both on premises and on the cloud. The on-premises system provides services while the cloud ensures disaster recovery.

Technology Sharing

The hybrid cloud combines the technological advantages of the on-premises system and the cloud. The on-premises system can seamlessly work with other HUAWEI CLOUD services.

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AI Computing

AI Containers

Running containers on high-performance GPU-accelerated cloud servers significantly improves AI computing performance, and GPU sharing among containers greatly reduces AI computing costs.

Advantages

Superior Performance

The bare-metal NUMA architecture and high-speed InfiniBand NICs drive a three- to five-fold improvement in AI computing performance.

Efficient Computing

GPUs are shared and scheduled among multiple containers, greatly reducing computing costs.

Extensive Field Experience

AI containers are compatible with all mainstream GPU models and have been used at scale in HUAWEI CLOUD's Enterprise Intelligence (EI) products.

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Functions

  • Deployment and O&M

    Creation of Kubernetes clusters in just a few clicks; auto deployment, auto O&M, and lifecycle management for containerized applications.

  • High Availability

    Three-master HA setup on the cluster control plane; cross-AZ deployment of nodes and applications in a cluster.

Deployment and O&M

High Availability

  • Application Scheduling

    A variety of scheduling policies (affinity and anti-affinity between workloads, between workloads and AZs, and between workloads and nodes) to balance performance with reliability.

  • Auto Scaling

    Elastic scaling of clusters and workloads; combined use of scaling policies.

Application Scheduling

Auto Scaling

  • Open-Source

    Compatibility with Kubernetes/Docker-native APIs and commands; updates from Kubernetes and Docker communities incorporated every few months.

  • Containerized DevOps

    Delivery of containerized applications in just a few clicks without the need to compile Dockerfiles; process templates for improved delivery efficiency.

Open-Source

Containerized DevOps

  • Vertical Integration

    Integration with IaaS resources, such as computing (ECS, BMS), network (VPC, EIP), and storage (EVS, OBS, SFS) resources.

Vertical Integration

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