The internet, and other information as well as communication technologies have come a long way over the past two decades or so. This progress which happened in the above technologies became an enabler for other technologies like Cloud Computing.

When we talk of cloud computing technologies as well, there has been massive evolution within this domain. Initially, we saw hybrid cloud deployment models, which allowed enterprises to retain some workloads on premise, while others went to the Cloud.

Subsequently, these very hybrid cloud infrastructures evolved into multi-clouds, where an enterprise can now pick and choose which workload is most suited to which public Cloud Service Provider (CSP), or even a private cloud deployment.

Alongside this evolution of multi cloud environments, we are now moving towards distributed clouds. As the name suggests, a distributed cloud will be all about localization of data, processes and workloads.

However, due to the resource intensive nature of distributed clouds, only some specific workloads and processes will be able to justify the costs and Return on Investment (ROI). One thing is for sure though, we have already set foot into distributed clouds.

Distributed clouds, backed up by super fast information and communication technologies like 5G, will eliminate the latency faced in moving data to and fro. Still, some workloads such as self-driving vehicles are so time sensitive that only a distributed cloud will work.

Secondly, the rapid adoption of distributed cloud models will by no means reduce the relevance and efficacy of Public Cloud infrastructures, such as the ones being offered by dinCloud, an ATSG company.

On the flip side, both a distributed cloud, and the public cloud will be functioning in tandem, complementing each other in their own unique ways. The bulk of time sensitive workloads will be handled by the distributed cloud.

Analytical workloads, requiring in-depth analysis and use of tools like Artificial Intelligence (AI) will nonetheless be handled by the immense muscle of the public cloud. The insights obtained from the public cloud will further streamline time sensitive workloads.

Lastly, we are gradually but surely setting foot in an era where the boundaries between the public, private, hybrid and multi clouds will become really blurred. The outcome however, will exhibit in the form of exceptional customer and employee experiences.

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