ScoutAM R&D efforts have focused more on scalability and simplicity than any other attribute. The growth of unstructured data is unrelenting, and the continued rapid advancement of science and industry is dependent in many ways upon dramatically improving the scalability of storage systems.  ScoutAM is built upon a nodes and service architecture wherein additional performance may be added in modular chunks by scaling horizontally - adding more nodes to a cluster.

ScoutAM scales vertically by taking advantage of more cores, memory, and networking interfaces on a given node. The Golang development platform used in ScoutAM plays a significant enabling role for both the horizontal and vertical scalability of ScoutAM.

ScoutAM was designed to radically improve the scaling limitations inherent in legacy HSM, large archive, and mass storage products. The primary scaling bottlenecks in traditional product architectures are metadata management and sustained data throughput.