Abstract: Embodiments herein may relate to a process to be performed by an electronic device. The process may include identifying an error condition related to a first computing device of a plurality of computing devices. The process may further include generating, based on a machine learning (ML) model, an indication of the error condition that is provided to a user, wherein the indication includes: a non-technical summary of the condition; and a recommended action to remedy the error condition. Other embodiments may be described and/or claimed.

Abstract: Field-adjustable rack systems for mounting communications equipment are disclosed, including an adjustable communications equipment rack where the rack is adjustable from a floor mounted configuration to a wall mounted configuration, and the overall width of the rack may be varied by adjusting the base and the top in a plurality of different configurations. Also, height adjustment to the communications equipment rack is disclosed where the height of the rack may be adjusted without removal of the existing mounted equipment from the rack. Height adjustments are made by coupling a plurality of extensions to the vertical side rails of the rack, to arrive at the rack height desired. Methods are described for field adjusting communications equipment racks into various configurations, including floor mounted configurations and wall mounted configurations in a plurality of widths and heights.