Serverless computing has seen a significant adoption over the last couple of years, with all the major public cloud providers enabling serverless architectures. AWS Lambda, Azure Functions, and Google Cloud Functions provide an abstraction layer to deploy small pieces of code instead of monolithic applications and further simplifies public cloud consumption. But, serverless architecture is not suitable for all the applications and has its own issues that need to be considered.
Virtual machines (VMs), containers, and serverless are all different mechanisms of resource virtualization and have evolved to simplify and manage resources. Moving from one mechanism to another generally involves a significant workflow transformation and care needs to be taken before selecting the right computing model.
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