Updated on 2024-09-13 GMT+08:00

Application Scenarios

  • As the first choice for ECSs to achieve compelling service performance

    HCE is an excellent choice for enterprises, finance institutions, and manufacturers planning to deploy or migrate their applications and services to the cloud.

    • Application-specific optimization: When the database, big data, HPC, virtualization, and container applications are deployed in HCE, MySQL and Nginx services deliver better performance than when they are deployed using any other OSs.
    • Faster startup: Only required basic components are loaded to suit specific ECS configurations, so ECS can bootup faster.
  • As the preferred choice for CCE containers to reduce costs and improve efficiency

    When some services are deployed on the cloud and others on premises, lots of resources are left idle and overall resource utilization is low.

    • Optimized CPU utilization: HCE uses a hybrid deployment engine and resource isolation technologies to ensure that the CPU usage of CCE containers reaches 40% to 60% while keeping the QoS lower than 1%. In this way, applications will not suffer from frame freezing and you can enjoy smoother experience.
    • Optimized auto scaling: HCE functions as an image that contains the minimum component set for CCE containers.
  • As an alternative to CentOS

    The discontinuation of CentOS has created significant challenges for the O&M of existing sites and the construction of new sites. HCE is a good solution because it is:

    • Secure and reliable: HCE supports SM series cryptographic algorithms (such as SM2) and MLPS 2.0/CC EAL4+ security certification.
    • Independent and controllable: HCE is developed by Huawei Cloud based on the openEuler ecosystem, but with enhanced cloud capabilities.
  • For cloud-device synergy

    HCE supports both cloud-based and device-side application development, making it an ideal choice for cloud-device synergy.

    Application functions are developed in a way that the cloud and device sides work together (for example, APIs developed for device-cloud interaction), and resources can be flexibly expanded on demand while services are running. This helps applications to gain the strengths of both device and cloud.