Data-centric architecture should be designed with multi-cloud


Having access to manage data accross multiple clouds should be the centre of your design, considering the increase in access to data portability.

To be realistic, technology is growing tremendously quickly, quite alarming actually. The future architecture will be multi-cloud. Even if you run everything on-premise.

Think about your environment today - there is production cloud, which supports multiple development environments, you are likely running a cloud for analytics and you operate a global backup network. Each of these environments increasingly wants to run in the cloud model and they expect those same attributes: simple, on-demand, elastic, and driven for innovation.

But at the same time, each of these have their own requirements. What does that mean? Well, that you now have to design a next-gen data strategy that delivers the cloud data experience to each of these environments, yet also delivers the unique capabilities they demand.

This is why your data-centric architecture should be designed with multi-cloud in mind—an assumption that you need to manage data across multiple clouds and achieve the data portability and openness to make this possible. If you don’t design for this, you face a real danger of lock-in, because data is the foundation of infrastructure lock-in.

With the focus now on having access to data portability, its even that much more crucial to have that done. This is the way technology is moving. The way you should be moving. If you need help integrating access to data portability, allow the experts to help.

Ask us for help, we would be happy to help you have access to data portability. Visit us at for more information, or feel free to try it for free for 30 days.

Sebastian Allerelli
Partner at Safe Online
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