"Perhaps you deployed your first cloud-native Node.js application to Amazon Web Services and then received a new assignment to port over several legacy .NET applications to a public cloud. Should you try Amazon Lightsail as a first step, or should you review Microsoft Azure's options for .NET developers? Or maybe your team has applications running on Azure that need to securely connect to machine learning models deployed by the data science team on Google Cloud Platform."
"For larger enterprises, supporting multiple clouds is almost inevitable, due to the herculean level of governance required to channel all development, data science, and shadow IT efforts to a single public cloud. Even so, there are several reasons why global businesses and larger enterprises determine that "being multicloud" is strategically important. I reached out to several experienced IT leaders active on Twitter through social chats like IDGTechTalk and CIOChat to get their perspectives on whether and how organizations should support multiple clouds."
Scenarios include deploying cloud-native applications to one provider while porting legacy systems to another and connecting applications on one cloud to machine learning models on another. Multicloud adoption commonly emerges from organizational silos and varied technical requirements. Larger enterprises often find multicloud inevitable because centralizing all development, data science, and shadow IT on one cloud demands immense governance. Teams should ease into multicloud to avoid overwhelming complexity. Key multicloud challenges include governance, the need for specialized technical skills, and integration work across providers. Gradual, governed adoption helps manage risks and costs.
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