The Silicon Review
With access to the internet growing at a steady pace, the amount of data generated from all that internet usage is slated to increase exponentially in the next five years. Corporations that offer Internet-based services often deal with massive amounts of data generated by their users. Companies such as Google, Amazon, and Facebook have well over a billion users and each company has to deal with tons of data that is usually in the order of thousands of terabytes. Corporations build and maintain enormous data centers to house and manage all that data. A data center for a large company is usually the size of a small city and houses all the necessary means of storing data and hosting various kinds of services over the cloud. Some of the services include storage, processing, application hosting, and so on.
A company in the United Kingdom provides cloud-based solutions and associated services for data centers along with the relevant technology. Romonet assesses all the requirements and feasibility constraints necessary to run a data center through highly innovative software. The company aims to resolve capacity, energy, utility and financial difficulties related to establishing and subsequently, running a data center. Romonet provides predictive analytics software and services for the data center. It is the only cloud-based solution to provide data on a facility’s entire lifecycle. This financial, environmental, CSR and operational information increases profitability, reduces risk and improves decision-making.
Innovative Solutions With High Feasibility
Running a profitable data center services business – Colocation and Cloud – means maximizing the quality of service while minimizing expenses. If the data center supports your core business, it’s a huge expense impacting on revenue-generating investment and growth. Romonet’s very own brainchild, 'data center predictive modeling' is used to leverage its software that carries predictive analysis to determine all the requirements to set up a data center.
Romonet’s software helps to contain the complex structure of growing expenses by reducing initial investment by accurately analyzing and predicting the most suitable design. Later operational costs can be decreased by analyzing metered data against predictive models and eliminating unnecessary ongoing capital projects and choosing optimal and cost-effective equipment to meet current and future workload requirements.
CSR (Corporate Social Responsibility)
Social responsibility is an essential component of every company that cares about its shareholders, brand, customers, and employees. Regulations, taxation, and environmental pressure groups are focused on making data center operators design, build and run cleaner facilities.
Optimal Data Center Operations
Predicting and maintaining peak performance in a data center can be the difference between success and failure. Global data center operations, both internally managed and outsourced, need constant monitoring. The ability to accurately predict performance under varying workloads or climate conditions, predict equipment failure risks and confidently forecast financial investment is a luxury only available from Romonet.
For many years data centers have been seen as highly complex facilities, difficult to understand and under the sole responsibility of IT departments. Most senior managers saw these facilities as financial black holes without any consideration of their contribution to business profitability. On top of this, environmental organizations were flagging the huge amount of energy consumed by data centers at a global level and the increasing levels of CO2 emissions that were damaging our environment.
As a result, more and more tech companies have started to invest significant resources into increasing data center efficiency and reducing the amount of energy these facilities consume in order to keep our society going 24/7, 365 days a year. Romonet customers save £3m+ and decrease CO2 emissions by over 11,550 tons.
Insight by the CEO, Danny Reeves:
“If the entire data center industry and tech companies came together to use smart analytics in running facilities, we could see amazing widespread improvements in both profitability and environmental impact. As it stands, there are still many organizations using labor-intensive, mistake-prone Excel sheets to manage critical assets. However, the industry is progressing at light speed and industry leaders are already forging the way towards long-term sustainability in the data center space. We are very proud to have customers that are aware of these crucial aspects and are investing resources into changing the data center market and creating a better environment for all players.”