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Native support for mass hardware devices, network traffic and batch tasks; support deployment of multiple services in a stable and efficient manner to help users to improve resource utilization significantly.
Provide native, scalable and compatible Kubernetes API that enables enterprises to migrate toward cloud business seamlessly and deliver iterative innovation.
Support single-tenant or multi-tenant management with service control plane and data view to meet the various scenarios of the enterprise.
Fully compliant with Kubernetes CIS 1.3 security requirements.
Support rapid deployment HA clusters on bare metals and VMs; support hybrid cloud clusters, externally hosted clusters and importing external clusters; support etcd services deployment to specific nodes.
Customized groups to support automatic expansion or shrinkage of public and private cloud clusters.
Support multiple commercial and open-source storage, on-demand allocation of storage resources, snapshots and rollbacks, data volume supports file upload and hot expansion.
Support single cluster with multi-network; support load balancing, canary release; support real and fixed IP and IPv4/IPv6 dual stack.
Provide application lifecycle management services and multi-dimensional monitoring. Provide customized services based on Spring Cloud and Service Mesh.
Application manage multi-service life cycle, startup sequence of visual orchestration, multi-environment rapid deployment service.
Support efficient deployment, dynamic scaling and real-time monitoring for containerized services; support GPU sharing and upload & download files.
Seamlessly integrate with HA image repository for R&D, test, and production environments to support cross-repo synchronization.
Support the whole process automation of code construction, image construction, code quality inspection and service update deployment; support the retention of pipeline artifacts.
Fit the actual situation of the enterprise and quickly integrate various third-party services.
Important operation records are retained for easy positioning and searching.
Monitor all kinds of indicators and operation logs of cluster, node and application, set alerting threshold and automatic alerts.
Switch form the traditional operation and maintenance to achievement of automatic operation and maintenance. Supports application grayscale release and weighted traffic import, testing new features with real user data.
The traditional monolith is reformed into containerized microservices for the purpose of elasticity, data monitoring, module orchestration and the ultimate increase in enterprise productivity.
The project team adopt the agile development process, build CI pipeline that correlates the code base and triggers various events which include unit test, code scanning, compilation, image build, integrated testing, image publishing, authorization and deployment of apps in multi-environment.
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