Big data is driving new business insights and is hyped as a world-changer, as more and more devices are connected to the internet (Gartner predicts enterprise data growth of 800% between 2011 and 2015). Big data is the practice of locating patterns in enormous datasets to make better decisions. It enables intelligent decision-making across industries and applications.
Scalable cloud environments are great for big data platforms, but they come with their own set of planning and management concerns. In many big data environments, a hybrid solution may be the best fit. Let’s see what IT managers have to contend with to deliver the big data insights demanded by CIOs and CEOs.
There are plenty of factors when sizing up colocation providers: available space, power configurations, efficiency, support services, networking, etc. But one aspect makes all the difference, with ripple effects on many of these other factors: location. Depending on your infrastructure demands, you might need a data center nearby for low latencies or far away for disaster recovery; in either case, the location can also impact power pricing, energy efficiency, and connectivity.
Cloud computing is built on virtualization, a technology concept that allows multiple virtual machines to run on a single server. Although this means data centers can squeeze much more computing power out of each server, it also brings a set of additional security risks. Without insight into the other environments using the same server resources as your virtual machines, how can you protect your own data from malicious attacks on other tenants?
For some small businesses, the security risk associated with multitenant cloud is outweighed by the security gains of having the provider’s skilled information security specialists working on their environment, whereas they may have lacked a dedicated security staff in the past. However, other risks increase as virtual network tools and hypervisors present additional attack surfaces.
November 2015 Update - As Green House Data has expanded nationwide, our ranks have been joined by several additional veterans in Washington and New York. Their stories will soon be added to this post.
As the home of a strategic missile base (Warren Air Force Base), you might expect Cheyenne to have its fair share of military veterans. Green House Data is happy to have the skills of eleven vets on board, with a combined service record of over 70 years—but not all of them in the Air Force.
They’ve served at home and abroad, as far as Macedonia and Iraq, with duties as varied as military police work and computing firing data. In honor of Veteran’s Day and their service, we asked them a bit about their experience and how they made the transition from the military to Information Technology.
You’re probably familiar with “swamp cooling” at home, especially if you live in the dry West like we do. Swamp cooling is evaporative cooling, a more efficient method of air conditioning than vapor compression or absorption refrigeration, the latter relying on refrigerant that contributes to ozone depletion, in addition to consuming more energy. Free cooling has made inroads in the data center and is common in many new builds and retrofits as a method of saving energy and water alike, leading to its nickname of “free cooling”.