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2 mistakes that will kill your multicloud project

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2 mistakes that will kill your multicloud project


Multicloud should be easy, right? I mean, it’s just deploying and managing more than a single public cloud. This has unfortunately not been the case. As more enterprises deploy multicloud architectures, some avoidable mistakes are happening over and over again. With a bit of understanding, perhaps you can avoid them. Let’s review the top two:

Not designing and building your multicloud with cloudops in mind. Many enterprises are deploying two, three, or sometimes more public clouds without a clear understanding of how this multicloud architecture will be managed long term.

When a multicloud deployment moves to production, there’s a great number of cloud services caused by leveraging multiple public clouds with redundant services (such as storage and compute). It all becomes too much for the cloudops team to deal with. They can’t operate all of these heterogenous cloud services as well as they should, and the quality of service suffers. It also places way too much risk on the deployment in terms of security and governance operations.

There are a few ways to avoid this. First, don’t do multicloud if you’re not willing to step up to the operational needs. Stick with single cloud deployments only. This takes all best-of-breed services off the table and reduces the value in using cloud at all. The second, and the proper approach, is to automate pretty much everything and to leverage abstractions (single pane of glass) to manage the complexity and still provide best-of-breed benefits.

Choosing “cloud native” everything. Keep in mind that tools that span the public clouds are the most useful. You can use the same interfaces and automation from one cloud to another in your multicloud.

This seems like the obvious choice, but many enterprises moving from single to multiclouds are keeping the native tools that came with a particular public cloud, such as security and operations tools. Companies that opt to keep specific management and monitoring tools for AWS, Microsoft, or Google will have to learn and leverage a tool per public cloud. Not very efficient.

Copyright © 2020 IDG Communications, Inc.



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