While many industries worry about putting all their cloud eggs in one service provider’s basket, a less-understood value of multicloud is emerging. Credit: varintorn Recently the banking industry has faced questions about its use of cloud computing. There is concern that concentrating on a single cloud provider’s resources could leave that bank exposed if the cloud provider has a major outage or for some other reasons goes away. Or more likely, jacks up prices to unacceptable levels or changes to draconian terms. There is even concern that regulators won’t be able to access information from some public cloud providers, many of which are hosted in other countries. The concentration of compute and storage resources on platforms not owned and operated by the banks could lead to unacceptable risk to bank customers, investors, and other stakeholders. There are many dimensions to these risks. If a client told me that they were going with a single public cloud provider, my concern would not be risk of lock-in with that provider in terms of outages, price gouging, or even going out of business. It would be more about limiting themselves to solutions found in the “walled garden” of a single cloud provider. In other words, not being able to leverage the best solutions across cloud providers and ending up with an underoptimized architecture. The question here is not about creating the best and most optimized solutions, but spreading the risk by using a true multicloud deployment, meaning two or more public clouds. Although I think this is less important than finding the best technology to solve problems, there is something there to explore as well. Multicloud has much disaster recovery value. Many innovative enterprises have leveraged one cloud provider as the primary system host and another as a secondary. For the same application and data this means that the system can fail-over from one provider to another, in many cases without the end users even knowing that the back-end cloud provider has been swapped out automatically. This an active-active approach to disaster recovery. If you think active-active is expensive to build, deploy, and operate, you are correct. You can count on twice the cost of deploying the same application and data on a single cloud provider. This is why we still don’t see many of these types of multicloud tricks, but they are out there. More important is the value of having options. Multicloud gives you the choice to find best-of-breed technologies among three to five public cloud providers versus a single one. More options lead to reduced systemic risk as well, which I think is of secondary value and consideration, but it’s indeed a value of multicloud, nonetheless. I recommend that those leveraging multicloud create playbooks that define how applications and data can be migrated to another cloud provider within the same multicloud deployment, either in reaction to unacceptable increases in prices, excessive outages, or a concern with the business itself. This requires that you have staff who understand each cloud provider and are able to leverage existing in-house resources to make the move rapidly. If you’re not using a multicloud deployment, your response will take months or even years versus weeks to leverage a new public cloud option within a multicloud deployment. If you’ve already got a multicloud arrangement, the operations, security, and governance layers will already be in place, and moving from one cloud to another will be easy. Not concentrating most of your applications and data on a single cloud is a clear multicloud value. This may be why people adopt multicloud—as a way to mitigate risk. However, I think other features are of greater value. Related content analysis Generative AI won’t fix cloud migration You’ve probably heard how generative AI will solve all cloud migration problems. It’s not that simple. Generative AI could actually make it harder and more costly. By David Linthicum Jul 12, 2024 5 mins Generative AI Artificial Intelligence Cloud Computing analysis All the brilliance of AI on minimalist platforms Buy all the processing and storage you can or go with a minimum viable platform? AI developers and designers are dividing into two camps. By David Linthicum Jul 09, 2024 5 mins Generative AI Cloud Architecture Artificial Intelligence analysis The next 10 years for cloud computing Despite AI's explosive growth, the industry still needs to face facts that customers are unhappy about costs and vendor lock-in. By David Linthicum Jul 05, 2024 5 mins Amazon Web Services Google Cloud Platform Microsoft Azure analysis Serverless cloud technology fades away Serverless was a big deal for a hot minute, but now it seems old-fashioned, even though its basic elements, agility and scalability, are still relevant. By David Linthicum Jul 02, 2024 4 mins Serverless Computing Cloud Computing Software Development Resources Videos