2. “Cloudifying” storage
This does not simply mean the use of storage by a cloud service provider (CSP) or a managed service provider (MSP), but also the capability of storage to transparently move data from on-premises configurations to public clouds and across private cloud deployments. This allows you to enjoy the application and workload SLAs of a private cloud and also enjoy the savings public clouds drive for backup and archival data.
When it comes down to it, the “cloudification” of storage is all about getting the right storage for the right job, no matter how you’re deploying your cloud environment. This trend continues to be top-of-mind for multicloud and hybrid cloud architectures.
3. Embracing modern data protection
Most of us are aware of data protection as the ability to backup and restore. Modern data protection goes way beyond that. Modern data protection is focused on how you can leverage secondary storage datasets (backups, snapshots, and replicas) to be used to empower your business.
With modern data protection, copies are no longer a liability but become a benefit: you can take secondary datasets and use them for DevOps, analytics and testing workloads.
4. Automating storage processes
As businesses navigate their digital transformation journey, there will be a need for automation across the board. This applies not only to storage professionals, but to DevOps and other job functions: Docker experts, application owners, server and virtual machine administrators, and so on. All need to know how to backup and optimize workloads.
For instance, they may need to spin up a new container without calling the IT department. With that said, it’s imperative to have integration with all the coming APIs, automation and self-service—each of which are critical. This will help enable you to create a true digital business.
5. Incorporating artificial intelligence
AI is expected to have an impact on countless industries. From car manufacturing, to food services, to healthcare and more. This is a transformational change relative to the invention of electricity. AI could potentially simplify operations, expedite processes and production. Manual complex tasks will be easier to maintain with what we continue to learn from AI. Storage for AI will potentially play a central role in how organizations use this technology. To enjoy the benefits of AI, your storage must have the ultimate in performance, availability and reliability. AI, at its core, requires massive amounts of data being processed accurately and reliability 365X24. Storage is essential to the AI paradigm.