Considering that close to 70% of enterprises are moving their applications to the cloud, there are a lot of investments made in finding the most efficient and effective ways for companies to satisfy their customers and changing environments. How much you ask? $1.3 trillion!!

Since the start of the cloud adoption process, hybrid cloud architecture has allowed enterprises to reap the benefits from cloud economics and scalability without compromising data autonomy. 

A multi-cloud architecture brings benefits to the enterprise cloud, too - avoids being locked in to one vendor, accommodating mergers and acquisitions and optimizing cost/performance, just to name a few.

Although both offer the main themes of flexibility, data sovereignty, and the ability to avoid vendor lock-ins, companies still face issues when making these transitions as they still have to adapt to changing requirements: 

DevOps teams now have to learn policies and methodologies of each cloud provider and on top of that, there are multiple vendors to track, which makes it tough to get a clear picture around costs of cloud. 

From a more data-centered thought process, it gets complicated to manage sets of data that are deployed across multiple cloud providers. Another challenge that I've noticed is that as opposed to a private cloud architecture where you're privately sharing virtualized resources/better suited for secured confidential information, data is harder to protect across a multi-cloud or hybrid cloud architecture due to the accessibility which can be a double edged sword. 

On top of all this, the ongoing challenge to scale out teams and retain cloud experts who are implementing, designing and managing complex projects is a crucial challenge in itself. 

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