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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Enterprises spent $1.3 trillion in 2018 on digital transformation technologies such as public cloud platforms, microservices and containers, edge computing, machine learning and artificial intelligence to improve customer experiences, business agility and employee engagement.