Leaner and Meaner Datacenters
Traditional IT infrastructures are usually built around VDI environments. In a VDI solution, hardware costs make up 40 to 50% of the total expenses, requiring enterprise-grade servers and storage appliances that drive up the initial capital investment and the Total Cost of Ownership (TCO).
The high computing and networking costs often involve moving desktops, user devices and other physical endpoints into the premises for better connectivity with the data center. This begins a vicious cycle of additional space, power, and cooling requirements to keep the data center operating at optimum capacity.
Industry-standard, commodity hardware can be used in infrastructure, eliminating the need for quite a few servers, hard drives, WAN accelerators, SSD caches, and whatnot. This, in turn, reduces the electrical and heating footprint.
“In the past, we would have to build costly, cumbersome solutions, including servers, SAN, backup device, switches, and other components, then wheel a rack into a customer environment,” said Steve Koven, Director of Global Solutions at IGT, after deploying a hyperconverged infrastructure. “It used to take us two to three weeks to order equipment, rack, stack and cable it. Now we can stand up the entire infrastructure and fully test it in two or three days,” he added.
Improvements in agility resulted in reduced delivery times for IGT while allowing them to be more flexible with sales and customize offerings to align with customer needs. “It lets us rapidly provide solutions at an attractive price point while reducing the complexity of deploying them. The result is faster and cheaper for us—and a better solution at the end of the day,” remarked Koven.
Effective Data Management
Data is one of the biggest assets of a company and needs to be managed accordingly. When the right data gets to the right people on time, faster and better decisions, delivering more business value.
A survey by Harvard Business Review revealed that cost efficiency is a significant benefit of the data-driven enterprise.