STaaS can enable a better cloud ecosystem for your enterprise’s digital landscape and easily integrate emerging paradigms like edge computing. Read on this article to know the 3 reasons why enterprises need to bet on STaaS.
The data storage industry is constantly evolving, with new trends and technologies disrupting the industry like never before.
Let’s have a look at the top three disruptions in data storage that bring about new opportunities for enterprises to actualize their digital aspirations.
By integrating quality at every step of the software development lifecycle, companies can create products that set new standards of quality in the market. It’s clear that Quality Engineering is now a strategic function with the potential to deliver a competitive advantage.
With the new information generated per second for every human being predicted to hit 1.7 megabytes by 2020, the expectations from data are enormous. The ability to analyze critical data and unearth critical insights can take enterprises to an entirely different level.
it is clear that most vendors are focused towards utilizing public cloud or hybrid cloud environments to archive the long-term data. Use of the hybrid cloud means that private cloud can be used to store data, which is bound by compliance and security norms critical to organizations.
For enterprises deploying NVMe over Fabric, choosing between Fibre Channel and RDMA can be difficult, because both have advantages and disadvantages.
This article throws light on the advantages of using vSphere web client storage plugin to deal with data center storage. Also, this article talks about the overview on development and testing of vSphere storage plugin and what are prerequisites for development
Any enterprise using SSDs will get benefited from the application of NVMe protocol. NVMe based infrastructure will be ideal for use cases representing SQL/NoSQL databases, real-time analytics, high-performance computing (HPC). NVMe enables new applications for machine learning, IoT databases, and analytics; real-time