Hybrid CloudEasily and seamlessly deploy Remote resources
Maximize business workloads by allocating system resources across remote locations with the goal of hybrid cloud for investment modernization, increased operational agility, heterogeneous infrastructure standardization, data protection, and disaster recovery. It integrates the infrastructure environment through the system resource base and protects the data on unique data lakes from the virtualization two-tier layout base.
Implementation of memory resource-based hybrid cloud infrastructure centered on data lake protection
Through Resource Share-based Auto Scaling, the approach between next-generation cloud and bare metal provides the best environment for data storage maintenance. Data is encrypted and loaded into the system computation layer, and connected to a high-speed network, allowing flexible services to be configured based on a resource pool of cloud and on-premises.
Physically segregate and protect billions of objects per server. By simplifying the original data based on the storage environment within on-premises and operating only with VM and container-based decrypted data in a hybrid cloud environment, we build a modeling that optimizes the storage usage and reduces costs.
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There is no need to modify existing workloads. System resources containing data are moved to the necessary instances and converted to the cloud through computational resources. Where legacy applications are integrated and defined as instances required, they can be easily deployed as appliances or conventional applications, enabling integration, data access, and migration management.
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Want to extend the life of your remote edge servers?
Networked end-to-end resource allocation virtually combines resources from numerous remote edge nodes with server infrastructure resources to improve the quality and speed of edge server analysis to secure orchestration at the required time and place.
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