In this guest blog by DataCore, we take a look at how businesses can lower data center infrastructure costs using software-defined storage.
You can find DataCore’s full blog below, as well as a link to the original at the bottom.
The IT industry is in the midst of a storage cost crisis. This is largely due to the pace of change and innovation in enterprise computing during the last decade, which has created enormous pressure on the underlying data storage infrastructure. In the last few years alone, there has been an average enterprise data growth of 569%, with an evolution of organizations managing an average of 1.45 PB of data in 2016 to 9.7 PB in 2018 [1]. To keep up with this change, IT teams have rapidly expanded storage capacity, added expensive new storage arrays to their environment, and deployed a range of disparate point solutions.
However, despite representing a significant percentage of IT budgets, the storage layer has remained particularly problematic and continues to be the root of many IT challenges, including the inability to keep up with rapid data growth rates, vendor lock-in, lack of interoperability—and most significantly, increasing hardware costs. Given that IT teams cannot continue to simply outspend the problem, it has become clear that a more fundamental solution is required to address the cost and complexity issues of the storage infrastructure.
Software-Defined Storage Emerges as a Key Solution
As IT architects and decision-makers look for ways to effectively address this challenge, software-defined storage (SDS) is increasingly being recognized as a viable solution for the short and long term. The potential economic impact of software-defined storage is best understood in the context of the complexity and cost crisis that characterizes most enterprise IT environments today, including:- Hardware and Software Costs: The enterprise storage environment often contains many specialized products, built with proprietary technology. To meet all of the enterprise requirements, while accounting for both capacity growth of existing workloads and the addition of new workloads, IT teams have had to devote significant portions of their annual budget to these capital expenditures (CAPEX). Year over year growth in data, applications supported, number of users, and number of sites all drive further CAPEX spending—and that’s just to maintain the status quo.
- Operating Expenses (OPEX) and the Inability to Innovate: Infrastructure complexity also consumes significant manpower. This complexity increases with variables including storage arrays, vendors, locations, applications, and operating systems. The volume of activities required to keep the existing infrastructure available and working as expected means that the majority of the IT staff’s time goes to simply maintaining the infrastructure, leaving a much smaller percentage of time to dedicate toward innovation or new programs that can enable growth and differentiation for the business.
