The future of data storage technology

Cloud storage has become an inevitable need for enterprises. And with few very influential companies jumping on the scene, cloud storage and data storage in general has garnered a lot of attention by a lot of tech gurus. The consumers too have adopted the “on-demand” policies not only in watching shows but also in data and its storage. So, when it comes to the future of data storage, you should be looking out for the following aspects according to Mike Matchette from The Taneja Group.

The need to find a better way to package applications resulted in containers. This might reach another level if enterprise-class container management can par the virtual machine management. These resources might deliver flexible programmable infrastructures when combined with dynamic operational APIs. Ability to deploy a data center on demand would be a breakthrough in data storage.

Most machine learning concepts are made up using advanced forms of pattern recognition. So this technology can be used to automatically identify complex patterns in reduced time and effort. It can be expected to see increase in the availability of machine learning algorithms to give rise to new storage management processes. These algorithms can produce storage management processes that can adapt settings to optimize workload services, quickly identify and fix the root causes of abnormalities, and broker storage infrastructure and manage large-scale data to minimize cost.

Mike predicts that “the interval for most remote vendor management services to quickly drop from today's daily batch to five-minute streaming. I also expect cloud hosted MaaS (Management as a service) offerings are the way most shops will manage their increasingly hybrid architectures, and many will start to shift away from the burdens of on-premises management software. It does seem that all the big and even small management vendors are quickly ramping up MaaS versions of their offerings.”