Cloud Container Engine

Flexible Engine / Computing

Easy management of your Docker containers


The Cloud Container Engine (CCE) service is a container service that features high availability and elastic scalability. With the Cloud Container Engine service, users can create, run and stop Docker containers conveniently. The Cloud Container Engine service also provides a graphical application orchestration tool for users to create and deploy applications efficiently. The CCE service uses Kubernetes to deploy and manage Docker applications, and provides a unified interface for users to manage applications.

  • Application management

 With this feature, users can create, update, delete and query Docker container applications. Management of application templates and component templates is also supported. Users may update an existing application with a new version and the update can be defined with policies.

A Cloud Container Engine cluster is a resource pool, which hosts containers. Each cluster contains one or more nodes, and each node is mapped to an Elastic Cloud Server.

For each Docker, you can choose the memory’s size (unit : MB or GB)  and the CPU’s characteristic (unit : core or mcore knowing that 1 core = 1000 mcores)

The total number of nod which can be created on each user clusters is also limited to the User’s quota of ressources.

Container as a Service offers you multiple features on demand:

  • Graphical orchestration : A graphical orchestration tool is provided for users to design application topologies and deploy applications using simple drag and drop.
  • Private image management : Private image management includes: upload, update, and deletion of images. Image signature can be enabled to guarantee image integrity.
  • Cluster management :  Cluster management operations include: creation, update, scaling, upgrade, and deletion of container clusters.

Container specifications are restricted by the node specifications and the number of nodes in the cluster.

The number of nodes in the cluster may be increased or reduced manually.

The user can specify and select availability zones in the current region to deploy the cluster nodes. One cluster can span multiple AZs.

  • Application elastic scaling : With elastic scaling, containers can be added or removed automatically to respond flexibly to changing application workload.
  • Monitoring and log query : A graphical view is provided to monitor application CPU and memory usage. Log collection and export are supported.



Fast deployment

  • The dockers container can be created in just a few minutes
  • acceleration of application deployement


  • You can deploy your most complex application rapidly thanks to ergonomic orchestration tools
  • Simplified management of the clusters


  • Compatible with Docker Hub
  • Possibility to mix non-Dockers application with Dockers applications

Application scenario: automatic container

You can create container clusters with just a few clicks automatically deploy middleware services (such as message and cache services) and container services, and manage the application lifecycle.


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