The evolving landscape of workloads, characterized by the emergence of AI, machine learning, large-scale data analysis, and next-generation databases, coupled with the widespread adoption of containers, has led to a surge in bare metal-level operations. Consequently, this has added strain to already overwhelmed Ops teams, resulting in increased costs and hindered innovation.

​

Additionally, according to the Uptime Institute, a significant majority of downtime incidents (70%) continue to be attributed to human error.

 

While hyper-scalers have been successfully running fully automated data centers for some time, smaller data center operators have been slow in adopting bare metal orchestration or have used it sparingly.

​

Consequently, many data center operators are now looking at bare metal orchestration to expedite service delivery, eliminate human errors, and reduce total cost of ownership (TCO).​