Product Advantages

  • Ease of Use

    You can create container clusters in just a few clicks, and deploy and manage containerized applications on the console all in one place. Out-of-the-box support for Docker and Kubernetes eliminates the need to set up Docker or Kubernetes environments.
    You can create container clusters in just a few clicks, and deploy and manage containerized applications on the console all in one place. Out-of-the-box support for Docker and Kubernetes eliminates the need to set up Docker or Kubernetes environments.
  • High Performance

    CCE is built on top of high-performance HUAWEI CLOUD infrastructure (computing, network, and storage). The container network draws on Huawei's extensive field experience. Containers can be deployed and managed at scale without increased complexity.
    CCE is built on top of high-performance HUAWEI CLOUD infrastructure (computing, network, and storage). The container network draws on Huawei's extensive field experience. Containers can be deployed and managed at scale without increased complexity.
  • Enterprise-Ready Reliability and Security

    Each cluster has three master nodes, avoiding a single point of failure on the cluster control plane. Nodes and applications in a cluster can be deployed across AZs so that faults in an AZ do not interrupt the whole cluster. Clusters are private and subject to role-based access control.
    Each cluster has three master nodes, avoiding a single point of failure on the cluster control plane. Nodes and applications in a cluster can be deployed across AZs so that faults in an AZ do not interrupt the whole cluster. Clusters are private and subject to role-based access control.
  • Open Compatibility

    Huawei is a founder and premium member of CNCF, one of the nine CNCF TOC representatives, one of the first CNCF-certified Kubernetes service providers, and a top contributor to Kubernetes and Docker communities. CCE is fully compatible with Kubernetes- and Docker-native versions.
    Huawei is a founder and premium member of CNCF, one of the nine CNCF TOC representatives, one of the first CNCF-certified Kubernetes service providers, and a top contributor to Kubernetes and Docker communities. CCE is fully compatible with Kubernetes- and Docker-native versions.

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.
    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.
    Three-master HA setup on the cluster control plane; cross-AZ deployment of nodes and applications in a cluster.
  • 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.
    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.
    Elastic scaling of clusters and workloads; combined use of scaling policies.
  • Open-Source

    Compatibility with Kubernetes/Docker-native APIs and commands; updates from Kubernetes and Docker communities incorporated every few months.
    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.
    Delivery of containerized applications in just a few clicks without the need to compile Dockerfiles; process templates for improved delivery efficiency.
  • Vertical Integration

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

Provides Scalable, On-demand Computing Resources

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