Categories
Technology

3 Essential Infrastructure Considerations For Your Big Data Operation

Within this special guest feature, AJ Byers, President and CEO, ROOT Data Center, suggests that if your company is starting or expanding a Big Data initiative, it would be sensible to maintain the needs of property, electricity and up-time top-of-mind. Whether your Big Data operations ultimately live on-premises, at a colocation uk data center, or at the cloud, infrastructure that’s sustainable, scalable, flexible and dependable is ground zero to ensuring its success. AJ Byers has twenty years of expertise in the data center market. Lately, in the growth of one of Canada’s largest data centre service companies with 15 centers he led the team as president of Rogers Data Centers nationally. He has long been a force in the industry. As COO at Magma Communications, he was instrumental in building one of Canada’s first data centres. It’s transformed the way business decisions are made in the financial services, healthcare, retail, and manufacturing industries, in addition to others. Perhaps examined, however, is its impact on the data centre industry. As more and more data is created, stored, and analyzed servers will be necessary. Where and how these servers are stored and managed to keep enable high performance surgeries and to maintain up-time is a non-trivial consideration. So too are power and space as Big Data operations grow and servers are needed.

co location

Even though the cloud feels to be an ethereal place, we do well to keep in mind that the cloud is really just another person’s server space — subject to the very same demands of power and connectivity. Therefore, whether Big Data surgeries exist in a colocation data centre, or in the cloud, then IT operators need to make sure their infrastructure needs are met today and in the future. Real Estate

Servers demand physical distance, irrespective of their installation in colocation facilities or in the cloud. Real estate is becoming a limiting factor for Big Data surgeries and expansion owing to its scarcity as data centers move closer and closer to population centers.

When it comes to growth possible, be cognizant of not only the financial stability of the data center provider, but also its accessibility to both brown and greenfield property, flexible infrastructure for scalability and installation rate.

  1. Ability

Based on IBM, 2.5 quintillion bytes of information are made daily and 90% of all of the data in the world was created in the last two years. This pace is reflected in data center growth. According to JLL’s 2017 Information Center Outlook report, the U.S. saw a record 357.85 MW consumed — a continuation of what JLL calls for the”still uncontrolled momentum” that ignites data centre usage worldwide. In addition to general power, power per server’s density is increasing. Not long ago, 2kW per rack was typical; densities of 40 or 30 kW per rack are all demanded and now, that minimal.

As you plan for your organization and its IT infrastructure to grow, you must also ensure that your data center has access to available power as not all grids can provide MWs on demand. The information center also has to be able to cool. Another key consideration is to make sure that your operator provides innovative cooling technologies which reduce your carbon footprint and power consumption if your organization values data centre sustainability. Up-time Through redundant design, up-time is reached in the data centre environment, whether collocated or in the cloud. Generators and instantaneous switches back up power from the local utility in the event of an outage. Percent uptime is achievable, but risk remains. While additional redundancies can be built in with switches and generators, these come at capital cost frequently passed on to the end-user.

Emerging trends in downtime risk reduction come in the usage of artificial intelligence (AI) and machine learning how to maintain operations at their maximum performance. Google utilized AI calculate maximum efficiency during its server farms in 2014 and to monitor factors. Wholesale data centers utilize. AI to the colocation ecosystem’s integration is designed to work alongside existing employees, blending people and technologies. Data centres can now leverage AI characters and machine learning detectors trained by data center technicians to identify signs that there is a failure possible. Whether on-premises ultimately live, in a colocation data center, or infrastructure that’s scalable, flexible, sustainable and dependable is ground zero to ensuring its success.