10 Popular Myths About Multi-Cloud Data Management

Multi-cloud environments have been rapidly establishing themselves as an integral part of the enterprise data ecosystem. There is still a lot of confusion about this particular cloud computing. As organizations gain experience, they will discover their own truths regarding how technology supports their operational models. Here are 10 myths that multi-cloud management has on digital services today.

10 Popular Myths About Multi-Cloud Data Management

1. Multi-Cloud Data Management is Complex

This myth, like all myths, has some truth. Multi-cloud can be difficult to manage if it is not managed in the traditional IT way. Splunk pointed out on Forbes that simple observation is not enough. Organizations must have full analytical capabilities at all scales and from every source in order to be effective in oversight. This is not only to give real-time insight into operating conditions but also to enable management teams to act proactively.

2. Multi-Cloud Equals Hybrid Cloud

Although they look similar, there are some key differences that can impact how they are used and designed. VMware pointed out that multi-cloud uses clouds from different providers such as front-end apps on Amazon Web Services and Exchange Servers on Azure. A hybrid cloud is a combination of private cloud infrastructure and one or more public cloud services, allowing them all to work together as one entity. It depends on what applications you support and what your business goals are. A third option is to combine your AWS Storage Data Lake with your on-premise data centers.

Originally published on The Tech Trend