More Data, More Problems: Solving the Data Equation With Scale-Out Storage
Arcserve
November 05, 2020
2 min read
Just about every business is seeing the amount of data they need to move, store, and back up is growing by leaps and bounds. A recent update to the Global Datasphere Forecast from IDC says
more than 59 zettabytes (ZB) of data will be created, captured, copied, and consumed globally in 2020. But that’s just the tip of the iceberg. IDC goes on to say that
the amount of data created over the next three years will be more than all of the data created over the past 30 years. Without a doubt, your company will experience these statistical changes firsthand. That means you’ll need to add more and more storage, and that comes with a cost. The question is, will your existing storage solution be able to easily scale to meet these demands? Will you still be able to manage your data efficiently? And can you do all of that without blowing your budget? Most legacy solutions lead to costly forklift upgrades at some point. So let’s compare traditional storage to scale-out storage solutions.
Most legacy storage solutions are built to scale-up. This approach usually includes one or two controllers and multiple shelves of drives. Adding more storage requires adding another shelf of drives, but this type of architecture can only expand within the limits of the storage controllers. Once that limit is reached, the only option is to add a new system in addition to the existing system. You can see where this takes you over time. Each time you add a new system you add complexity, opening the door for less efficient allocation of resources and, typically, more time spent managing your data. Ultimately, you’ll reach the point where a forklift upgrade is the only way out, and that
can break your budget.
Traditional Storage Solutions Have Limits