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Scale up is a data storage growth method that increases the capacity of current resources. Scale up or vertical growth is an older growth method designed to leverage existing storage hardware resources. To scale up means to add resources such as more solid-state drives or storage shelves to a single node in a storage system. Virtualization technology can also be used to scale up existing systems.

Scale up usually refers to storage architecture that uses a fixed controller resource for all processing. Storage shelves are added to the array, up to the maximum number permitted for that controller. To maintain high availability, dual controllers may be used. Some dual controllers act as “active-passive,” with one controller on standby in case of failure. This limits the storage array’s performance to that of a single controller, essentially wasting 50 percent of its performance potential. Despite controller limitations, scale up growth is a cost-effective method to increase storage capacity without the management overhead of adding more nodes to the system (scale out or horizontal growth). When capacity is added and the controller resources are insufficient for the additional data, performance suffers. When the controller reaches its sustainable capacity limit, more nodes must be added.

A storage architecture that offers the flexibility to either scale up or scale out gives IT organizations the ability to add capacity or performance as needed. For SAP HANA and S/4HANA data sets, SUSE Linux Enterprise Server provides automated scale out and scale up installation and management, including Tailored Data-center Integration (TDI) deployments. TDI is an alternative approach to deploying SAP HANA that allows customers to leverage their existing hardware and infrastructure components rather than an all-in-one-box HANA appliance.