London based Romonet has today launch the newest version of its portal combining Big Data analytics and predictive modelling, providing data centre owners and operators with actionable intelligence.
The new feature will allow data centre operators to save time and money as they will be able to identify and fix potential issues before they actually happen.
Using similar technology to giants like Facebook and Google, the updated portal will integrate a noSQL database architecture and Big Data analytics.
The Romonet Portal will also send out warnings when a device’s performance starts to exhibit signs of failure by using the data centre’s actual monitoring data to predict future operational issues.
The use of a noSQL database will enable all data to be cleaned, verified and stored, giving companies the chance to store information for several years and with a higher quality.
The portal will showcase an upgraded user-friendly interface with clear, simple and targeted visualizations for site staff.
Zahl Limbuwala, CEO of Romonet, said: "Traditional monitoring and trend analysis tools are reactive; giving teams insight either at the point of an alarm or over a historical view of events that have already happened.
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"By feeding a predictive model with the actual monitored data from a site, Romonet Portal gives operational teams visibility and warning of future operational issues.
"For instance, it can actually provide a warning when device performance starts to degrade or exhibit small but important early warning signs of failure. In fact, combining these Big Data techniques with Predictive Modelling allows Romonet Portal to spot and raise the alarm on issues such as filters in air handlers that need changing; or blanking plates being removed, causing increased air leakage."
Junk data has also been tackled by the firm while developing the new solution.
Liam Newcombe, Romonet’s CTO, said: "It was a surprise to us initially that on average 35% of the data coming out of the Building Management System and Environmental Monitoring System platforms out there is junk data. We now clean, verify and store all the metered data in our noSQL database; as most monitoring systems are not capable of storing this type of time-series dataset over many years while still being responsive to queries and lookups."
Using a scalable non-relational database, as used by Internet giants such as Facebook and Google, Romonet Portal’s Big Data capabilities and predictive modelling engine will let users to forecast, plan and measure business performance with greater insight, accuracy and agility.
The new architecture reduced analysis times from hours and weeks to mere minutes, where the database sorts millions of data points in minimal time, and removes the requirements of archiving, even with massive datasets; all the customer’s data is there to access, all of the time.
"After many years of preaching the total cost of ownership sermon within the data centre industry, we have developed a reputation as the independent authority on cost and performance of data centres. These new productized services will make it easier for anyone who requires guidance to engage with us and take advantage of our independence and knowledge before they commit to a crucial decision," said Mr Limbuwala.
Romonet is now looking at deepening the integration with other systems that manage the data centre environment. The company CEO also confirmed intention to down further into deepen integration with centres, making data realistic and integrated.
"We are one the early stages of looking into other sectors, for example health care and hospital, very similar to the data centre environment in the way they are engineered," Mr Limbuwala ended.
