Cloud Container Engine (CCE)
Supports scenarios like microservices system architecture, DevOps O&M, containerization of AI applications deep learning, etc.
Why Choose CCE?
Provides Docker container lifecycle management, large-scale container cluster O&M management, one-click business application release and execution, seamlessly integration with other Baidu AI Cloud products. An elastic, highly available cloud-based Kubernetes container operation platform, supporting scenarios like microservices system architecture, DevOps O&M, containerization of AI applications deep learning, etc.
Simple and Easy to Use
Supports flexible cluster creation/deletion across regions, provides multi-model hybrid deployment capability, fully compatible with native K8s resources, enabling visual management of the full container lifecycle.
Secure & Efficient
Deeply integrates VPC, load balancing, and cloud storage services, providing secure and reliable containerization solutions; supports Kubernetes native elastic scaling, flexible configuration of multiple scaling groups and node templates, enabling rapid business scaling.
Cloud-Native Technologies
Provides full lifecycle management for AI tasks, supports GPU resource sharing and isolation for mainstream deep learning frameworks; achieves high-density deployment of heterogeneous businesses through intelligent hybrid deployment technology, improving resource utilization by 50%+, building a high-performance, low-cost cloud-native computing platform.
Product Advantages
Stable and Reliable
Baidu's extensive experience in large-scale container cluster operations supports its core businesses including autonomous driving, finance, and advertising.
High Availability
Provides cross-AZ capability, ensuring clusters are unaffected by single physical data center failures. It is capable of monitoring the status of the cluster and automatically scaling the containers.
User-Friendly Operations
Offers one-click resource and service creation while seamlessly linking other required Baidu AI Cloud resources, allowing users to focus solely on business-level development.
AI Acceleration
Integrated with Kubernetes-based resource scheduling and task orchestration, it delivers AI task training and application deployment capabilities for multiple deep learning frameworks.
Application Scenarios
Customer Case
Zhihu
Zhihu is a professional online Q&A community in Chinese. By leveraging Baidu AI Cloud CCE to build a cross-cloud high-performance container network, it enables seamless migration of large-scale clusters comprising hundreds of physical servers and tens of thousands of containers to Baidu AI Cloud without service interruption.
Contact UsCHJ
CHJ is committed to changing travel with technology, providing users with smart electric vehicle solutions. Utilizing dedicated lines and Baidu's proprietary VPC-CNI technology, CHJ enables cross-data center container infrastructure deployment, interconnecting physical networks and computing resources across regions for flexible business expansion.
Contact UsGreat Wall Motor
The Great Wall Motor is China's largest collective-owned automobile manufacturer. By building multi-cloud Container infrastructure with Baidu AI Cloud CCE, cross-cloud multi-active application deployment is achieved, enabling automatic migration and traffic switching in seconds during disaster recovery, thereby enhancing enterprise business availability.
Contact UsHAND Enterprise Solutions
HAND is a comprehensive digital ecosystem Service provider, offering full-spectrum capabilities for enterprise digital transformation. By building secure and reliable containerized infrastructure through Baidu AI Cloud CCE, HAND establishes a hybrid cloud-native Architecture for enterprise information systems to facilitate digital transformation.
Contact UsFrequently Asked Questions
01
What is the range for setting the maximum/minimum number of nodes for scaling?
02
ow is the node configuration decided during auto-scaling when creating nodes?
03
How does a business application utilize the Load Balancer?
04
What is the scanning frequency for auto-scaling?
05
Under what conditions does a cluster scale out or in?