Features

Cluster management

Using the Cloud Container Engine (CCE) from Baidu AI Cloud, you can efficiently manage container clusters. Additionally, it provides secure, reliable, and seamless integration with Baidu AI Cloud’s computing, storage, and network services.

• Support is available for Baidu Cloud Compute (BCC), GPU Cloud Computing (GPU), Elastic Baremetal Compute (BBC), Dedicated Cloud Compute (DCC), Baidu Edge Computing (BEC), and Baidu Container Instance (BCI), as well as other computing resources.
• Support primary hosting or independent deployment, with the ability to select multiple replicas. Enables deployment of master and worker nodes across availability zones for high availability. Allows creation of new nodes or addition of existing nodes to form a cluster seamlessly.
• Support for multiple regions, enabling selection based on actual needs and compatibility with the VPC environment.

Service management

Services refer to users' business applications. Service management provides an efficient container management solution, supporting rapid service creation, quick scaling, load balancing, service discovery, monitoring, health checks, and more. Easily and quickly manage your containers through service management.

Container orchestration

• Address issues related to managing and synchronizing operations of large-scale container clusters, intricate topologies, caching, communication, and high availability designs.
• Enable deployment, high availability, auto-scaling, monitoring, communication, and other features for cross-host containerized applications.
• Provide a comprehensive and user-friendly RESTful API to simplify functionality encapsulation.
• Offer a robust self-recovery mechanism for clusters (automatic restart, automatic rescheduling, automatic backup, etc.), ensuring the cluster remains in the desired state.
• Users only need to focus on resource applications, as Kubernetes automatically handles scheduling, allocation, high availability, and underlying adaptation.