Operations | Monitoring | ITSM | DevOps | Cloud

Data center planning can be a chore. It's often a manual and time-consuming process that involves gathering data that may or may not be accurate from multiple tools. Plus, modern data center environments are increasingly complex and distributed which adds to the challenge.

Edge computing is defined by bringing compute resources out of remote, centralised facilities and putting them at the source of the data itself. Processing and analysis is done where the data is actually generated. The performance and cost improvements that edge computing delivers are based on this proximity. By situating our data centres close to major populations, we have delivered these benefits to many UK businesses. It is an inherently ‘local’ idea.

This blog post provides an in-depth overview of these options and outlines strategies for optimizing data center efficiency, the role of AI-powered analytics, and important security measures to consider when choosing a DCIM solution.

Did you know that data centers are some of the most energy-intensive buildings? They consume 10 to 50 times the energy per floor space of a typical office building. As governments, industry regulators, and customers demand more energy efficient data centers, data center managers are tasked to comply with corporate sustainability initiatives by finding new ways to innovate and reduce energy consumption.

The evolution of information technology is governed by how businesses adapt to ever-increasing amounts of data. Those businesses most able to exploit more data, win. Terms such as ‘speed’ and ‘agility’ refer to how a business handles and uses this data. Given the 2.5 quintillion bytes created every day, there is a huge opportunity for businesses to create unassailable leadership.

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.