Cluster Management

Through the Cloud Container Engine service of Baidu AI Cloud, you can efficiently manage a user's container cluster. You can also safely, reliably, and seamlessly connect Baidu AI Cloud computing, storage, and network services.

• Support BCC Cloud Compute, GPU Cloud Compute, BBC Baremetal Compute, DCC dedicated compute, BEC edge computing node, and BCI container instances, among other computing resources.
• Support master hosting or independent deployment, and select multiple replicas. Support the deployment of master and worker nodes across availability zones to achieve high availability. Support to create a node or add existing nodes to create a cluster
• Support multiple regions, can be selected according to actual needs and can select the VPC environment

Service Management

Service is the user's business application. Service management provides the user with an efficient container management scheme, which supports the rapid creation, rapid scale-up/down of services, load balance, service discovery, service monitoring, health inspection and other characteristics. You can manage your containers conveniently and quickly through service management.

Container Layout

• Solve the management and operation synchronization problems of large number of container clusters, complex topology, cache, call, high availability design.
• Provide deployment, high availability, elastic scaling, monitoring, communication of cross host containerized applications.
• Provide a complete and easy-to-use RESTful API to encapsulate functions.
• Provide cluster self recovery mechanism (automatic restart, automatic rescheduling, automatic backup, etc.) to maintain the cluster in the desired state.
• Users only need to care about resource application, and Kubernetes automatically completes scheduling, allocation, high availability, bottom adaptation, etc.