Ease of Use
Automatic creation of container clusters; one-click rolling update; one-stop deployment and O&M of containerized applications.
Container network built from extensive field experience; auto scaling within seconds; huge performance advantage of bare metal containers over virtual machine containers.
High availability on the cluster control plane and across AZs; graceful scale-out and scale-in of containerized applications ensure high service continuity.
Support for native Kubernetes and Docker versions; among the first CNCF-certified Kubernetes service providers; top contributor to the Kubernetes and Docker communities.
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.
CCE provides fast service deployment and auto scaling, as well as one-stop application lifecycle management.
CCE features high availability on the cluster control plane and across AZs, as well as graceful scale-in of containerized applications.
Through integration with IaaS, CCE provides a high-performance container network and supports multiple storage types, including EVS, OBS, and SFS.
CCE works with third-party pipelines to automate the entire process from coding to deployment. Advantages over traditional delivery include easy deployment, fast iteration, and high efficiency.
Every step is automated, including building code, changing code, building images, and deploying applications.
CCE is compatible with third-party tools used for code scanning, detection, and testing.
Containers isolate software from its surroundings, ensuring that containerized software will always run the same, regardless of the environment.
CCE uses storage services such as EVS and SFS to provide HA volumes for data persistence. This is suitable for stateful containerized apps, which save data or statuses from each session.
Data loss is prevented even if a container instance is faulty or migrated.
Storage can be shared by multiple instances.
Multiple storage types are supported, including volume-based, file-based, and object-based storage.
Containers can run directly on Huawei high-performance physical servers, delivering performance comparable to physical machines.
Containers on physical machines perform better than containers on virtual machines.
A physical machine can be created within 5 minutes, and a container cluster can be created within 6 minutes.
GPUs are used to accelerate hardware to meet real-time response, high concurrency, or high performance requirements.
Security features for virtual machine containers include detecting container escape, monitoring vulnerabilities of containerized applications, and enforcing security baselines.
CCE features automatic agent deployment, default rules, easy configuration, unified O&M, and efficient management.
A virtual machine container consumes less than 3% of host resources when functioning as an agent.
CCE regularly monitors vulnerabilities of containerized applications and threats that containers pose to hosts or other containers.
One-click creation of Kubernetes clusters; auto deployment, auto O&M, and lifecycle management of containerized apps.
HA on the cluster control plane and across AZs; graceful scale-out and scale-in of containerized apps.
A variety of scheduling policies (affinity, anti-affinity) to balance performance with reliability.
Scaling based on performance load, at a scheduled time, or on a periodic basis; combined use of scaling policies.
Compatible with Kubernetes/Docker-native APIs and commands; updates from the communities incorporated every 3 months.
Capability of building images from Java, Python, Go, Node.js, and Vert.x code.
Integrates with IaaS resources, such as computing (ECS, BMS), network (VPC, EIP), and storage (EVS, OBS, SFS) resources.