Organizations employ multiple IaaS/PaaS providers for a variety of reasons
Multi-cloud strategies are implemented by more than half of polling organizations, either by chance or by design computing earlier this month.
Of the 150 executives surveyed, all work in businesses that use cloud infrastructure, but 84 (56%) make “significant use” of multiple cloud IaaS/PaaS providers. The average number of outsiders for cloud providers per organization is 2.3.
The most popular IaaS/PaaS vendors are Microsoft Azure (reporting 82% of respondents using the service) and AWS (64%), with IBM accounting for a third (12%). ..
Which cloud provider do you use for IaaS/PaaS?
There were many reasons to choose multiple cloud providers. This means global operations (12%), meaning that one provider may not cover all regions, multiple teams of developers each (12%) of preferred developers, and new IT leaders (9%) who emphasize a familiar cloud. give. %), integrator. or another partner makes the decision (7%).
However, the main driving force was “avoiding lock-in or excessive reliance on one supplier” (31%).
How did you use multiple public cloud providers? please select the closest answer
There seems to be growing concern about cloud vendor lock-in. This month, 17% said they were taking aggressive steps to avoid cloud lock-in, while a similar survey in January said 9% did the same. Overall, 59% of people consider lock-in to be a matter of concern.
Do you think cloud vendor lock-in is the problem?
Of course, the most common cloud pairing was AWS + Azure. Interestingly, none of the “third clouds” were deployed alone. All the users we selected, GCP, Oracle, IBM, etc (that’s a small sample, of course) deploy these cloud services. Together from another provider. Clearly, these players need to focus on their niches and make their services as interoperable as possible in order to be successful in the multi-cloud world. That’s exactly what they’re doing.
So, while it is common to employ multiple clouds, diversity inevitably creates complexity. More skills need to be deployed, which makes it harder to manage costs. Until now, it has never been so easy to move data and applications cheaply and efficiently, at least between vendors’ clouds.
Multi-cloud requires a lot of decision making known as data gravity. In general, moving large datasets between clouds is a very expensive business and is therefore a factor that limits the flexibility of the multi-cloud concept.
Functionality was an important factor in deciding where to put which database. For example, an organization may have financial information on AWS and ERP on Azure, or it may choose to cluster applications with similar data needs in the same cloud. Some people choose the cloud based on the applications they support. The need for scalability was also an important consideration.
How do you decide which workload/dataset to put in which cloud? Choose the three most important ideas
Yet, despite the problems caused by the gravity of the data, an astonishingly high 30% of organizations are cloud service providers, a “true” multi-cloud promise offered by platform-independent cloud natives. Container technology stated that it actively manages data between CSPs).
Are you actively managing your data between environments from different cloud service providers?
Therefore, this diagram is a practical but fragmented approach, choosing the best cloud for your job from two or three (and in some cases even more) options. Organizations are enthusiastic about diversification because they are wary of lock-in and often use multiple providers for historical reasons, but they remain that way because of the difficulty of moving data and some applications. .. However, a significant number of respondents report that they are actively managing data between clouds. Exactly what they are doing and how to do this will be the subject of future research.
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