Data centre efficiency is a central cost factor in enterprise IT environments. So, in the face of rising energy costs and increasingly resource-intensive workloads, it is more important than ever for businesses to seek out greater optimisation. Traditionally, CPUs have been used for the majority of data centre workloads, including network related tasks.

As the UK’s edge infrastructure provider, we’ve launched platformEDGE™ — a next-generation platform that will enable regional businesses across the UK to harness the opportunity of digital transformation. PlatformEDGE is a UK-wide integrated infrastructure that enables scalable, high-performance, low-latency edge application delivery.

Data center consolidation involves reducing the number of servers, storage, network systems, racks, or entire data center sites to improve IT efficiency and create a more streamlined environment with lower space, power, and cooling requirements. As businesses migrate their workloads to the cloud or virtualize servers, the need for physical space decreases. This prompts companies to downsize their footprint, utilizing existing resources more and alleviating data center management challenges.

Migrating to a cloud model would reduce costs and let me focus on consumption pricing; reduce complexity by moving backend software and hardware support to the provider; and increase agility by letting my developers use all those nifty new tools that were emerging daily from cloud providers. The data center was heading the way of the dinosaurs! All was good. Everyone was happy. Well, in theory anyway. Until reality kicked in.

For many data center professionals, the daily operations of a data center require a lot of repetitive manual data entry tasks. Manually entering data about data center assets over and over again is not only time-consuming, but it risks inaccurate information due to human error. However, there is a new way forward.