Did you know that the data center industry accounts for 3% of global electricity consumption and is expected to hit 4% by 2030? Due to rising energy costs and increased public pressure around the environmental impact of data centers, many of today’s organizations have launched corporate sustainability initiatives and data center professionals are cracking down on energy usage to support those goals.

Data center professionals have reached a breaking point. Data center infrastructure has grown too complex and distributed to manage with legacy tools like Excel, Visio, and homegrown systems. Manually updating multiple spreadsheets and diagrams for every change in the data center takes too much time and the information is too inaccurate to trust.

It is a rare pleasure to both have ones cake and eat it. But that is precisely what next generation, hybrid cloud, offers organisations looking to reduce the cost whilst increasing control of the technology that underpins modern, digital business. Hybrid cloud refers to mixed computing, storage, and services environments that blend on-premises infrastructure, private cloud services, and a public cloud.

Data centers provide a central space to house IT resources required to run applications of any business. To get the best out of data centers, optimizing their performance, scalability, energy efficiency, availability, security and cost-effectiveness is important. Of all those parameters, energy efficiency optimization is one of the most important things organizations must consider, as the consequences of energy-inefficient data centers are significant.

Data center management traditionally requires a lot of manual effort, and the same data often must be entered into multiple disparate systems. Not only does this waste time, but it leads to inaccurate data due to human error.

We’re proud to announce the general availability of dcTrack® 9.0, the latest version of Sunbird’s DCIM Operations software. This release includes exciting new features including XYZ.

Managing a data center traditionally requires entering the same information multiple times into disparate tools. This is a manual effort that is time-consuming and error-prone. Leading data center professionals don’t waste time swiveling between different tools. Instead, they implement “automation via integration” that saves time and increases the accuracy of data.

In today’s fast-paced business environment, downtime can have severe consequences for any organization. It can lead to lost revenue, decreased productivity, and loss of customer trust. Therefore, it is essential to ensure that your business-critical applications are always available, no matter what. This is where Azure Datacentre Redundancy comes into play.

Main Distribution Frames (MDF) and Intermediate Distribution Frames (IDF) are integral components of modern data communication networks. Buildings or campus facilities have one or more MDFs which are the demarcation points where public or private telecommunication networks interconnect with the internal network. The MDF then connects to any number of IDFs in the building, and the devices in those IDFs connect to end devices such as workstations.