It used to be that only two factors drove an organization’s choice of storage platform: performance and cost. But along came data… and then more data and bigger data and, well, it’s not stopping.
Yep, data got big and traditional approaches to choosing storage don’t work anymore.
From where we sit as a designer of complete high-performance computing and storage systems, we’re seeing commercial and research institutes scrambling to keep up with data growth. We’re seeing some large research institutes planning storage solutions up to 250 petabytes in size. On the commercial side, we’re seeing AI research and development generating data of even larger magnitude.
Data growth is flipping budgets upside down as the amount organizations must spend on storage is increasing, leaving less to put toward compute. That is, if they continue with the traditional approach of simply adding more HDDs or trying to evolve into all-flash solutions.
Managing the budget while still getting the performance you need comes down to understanding the available technologies, their pros and cons, and how you can best use them to your advantage.
In our new e-book, “A Guide to Solving I/O and Mixed Workload Challenges,” we’ll walk you through flash, HDD and hybrid storage technologies. Among the questions we’ll answer:
- Why HDD persists even though flash is seen as its natural replacement
- What HDD does well but why it’s not the way forward
- How hybrid solutions work and what your options are
We’ll also share use cases to demonstrate how to evaluate your needs and which technologies may make the most sense for your situation. Specifically, we’ll review how small, random and sequential I/Os and workloads impact your options.
Today, choosing storage has a whole new level of complexity — and with that comes risk. Risk of overspending, risk of not getting the performance you need, risk of slowing down your entire operation. We have the answer and we’re here to help.