The challenges of a distributed multi-cloud world

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Discover how to reach customers in dispersed environments looking for location-specific services with distributed multi-cloud storage
Today, organizations are operating with multi -cloud computing environments . The goal of this scheme is to ensure business continuity, take advantage of the benefits and functionalities offered by different cloud providers , and capture maximum efficiency. At the same time, save costs or access better prices, move workloads between different clouds, enhance compliance, and avoid being locked into a single provider. Let's analyze why this trend is occurring.


Companies use different IaaS, PaaS and SaaS schemes (i.e. infrastructure, platform or software as a service) to access applications that provide them with agility and differentiated services that provide them with car owner database capabilities. And in parallel, many also have private clouds and local data centers.

And while multi-cloud is trending toward becoming the norm, there is still a place for the on-premises data center, at least in the short term, whether as part of a hybrid cloud strategy or to host legacy applications that, for whatever reason, are not suitable for cloud migration.

However, research found that non-sensitive data is far more likely to end up in the cloud than corporate financial or consumer data: only a quarter ( 26% ) of respondents said they were prepared to put all or most of their corporate financial data in the cloud, for example, compared with half ( 51% ) who wanted this sensitive information to remain entirely or mostly on-premises.” Furthermore, the demand for a hybrid cloud strategy was clearly influenced by the pandemic:





92% of companies have a multi-cloud strategy. 82% Hybrid cloud, 10% Multiple public cloud.

Source: Flexera



Data in distributed cloud
From a data management perspective , multi-cloud strategies enable adoption of the best features and differentiators among the major cloud platforms. However, organizations face critical challenges in realizing the full potential of cloud analytics in a complex multi-cloud world.

It should be noted that today's multi-cloud environments tend to become increasingly distributed, adding extra layers of complexity. In fact, distributed cloud is considered "the next generation of cloud computing" according to Gartner , as it retains the advantages of the cloud while extending the reach, allowing it to target location-dependent use cases that will be necessary in the future.

Some analysts predict that by 2024, most cloud services platforms will provide at least some distributed cloud services running where they are physically needed (e.g. at the edge of the network, via strategically located substations), to enable low-latency computing, facilitate greater compliance with regulatory requirements that data must be in a specific customer location, and reduce the risk of network failures.