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Predictive storage analytics can watch your storage for you
This article is part of the Storage issue of November 2018, Vol. 17, No. 8
Two months from now, we'll devote an issue of Storage magazine to the hottest storage technologies you will need to know about in 2019. Sorry, no spoilers here. You'll have to wait for our list to know what is on it. However, I will address one not-new-but-still-emerging technology that will sit at the center of the nexus of that list: predictive storage analytics. If you're an old-school storage pro, you should be paying attention to new skills you should learn at least as much as you worry about new technologies. But you should also pay attention to what new skills your storage software is learning. That will lead you to predictive storage analytics. When you shop for storage, you should pay close attention to the predictive analytics offered with it as well. Storage vendors certainly look at it when they shop for new storage technologies. Hewlett Packard Enterprise declared Nimble's InfoSight predictive analytics as a key driver of its 2017 acquisition of Nimble Storage, for example, and HPE has busily expanded those ...
Features in this issue
Base your decision on where to park your business's critical data and apps on where they can be most effectively accessed and used. For enterprises today, that's frequently the cloud.
Stringent yet realistic RTOs and RPOs are crucial to resiliency plans aiming to minimize interruptions to businesses operations should disaster or disruptions strike IT resources.
Simpler data centers can complicate the lives of IT pros with specialized skills, such as storage admins. But they can still thrive by specializing further or becoming generalists.
News in this issue
Don't ask if your next storage array or software will have predictive analytics. Ask what those analytics can do for your specific systems and applications.
Columns in this issue
Automating data management will play an important role in helping us cope with the coming zettabyte apocalypse, a time when the amount of data generated will overwhelm storage resources.
IT must change with the times and adapt to the reality that others within the organization can now procure and provision cloud resources without their input.