Midea Group is a technology conglomerate encompassing consumer appliances, HVAC systems, robotics and automation systems, intelligent supply chains, semiconductor industry, and elevator industry.
Founded in 1968 in Shunde, China, the company is now headquartered in Beijiao New District, Shunde, Guangdong Province. Globally, Midea operates approximately 200 subsidiaries, 60 overseas branches, and 10 strategic business units, and serves as the largest shareholder of Germany's KUKA Group.
Midea Group has established multiple private hardware resource pools and public cloud resources. However, the existing IaaS layer can no longer meet the demands for automated and intelligent control of IT hardware resources. To address the need for reliability governance of underlying resources, efficient allocation and utilization of resources, the following actions are required: reconstruct the underlying virtualization resource pool; build a hybrid cloud management platform and implement unified management of infrastructure resources.
1. New Virtualization Resource Deployment: Establish a self-controllable domestic virtualization resource pool encompassing computing resources, distributed storage, and network infrastructure;
2. Legacy Resource Compatibility: Integrate with Midea’s existing approval workflow engines and automation tools to manage both commercial and open-source virtualization resources and legacy physical infrastructure. The platform must possess resource orchestration capabilities and elastic scaling functionalities;
3. Legacy Resource Migration: Migrate thousands of VMs from existing VMware and OpenStack platforms to the Winhong CNware platform through phased workload transitions.
The reconstruction and upgrade of the underlying virtualization resources have achieved automated and intelligent control of resource governance;
Provides enterprise-grade virtualization and distributed storage resource pools that seamlessly support mission-critical business systems;
Implements centralized governance of all cloud resources, significantly enhancing allocation and utilization efficiency
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