Determining a recommendation to convert a block of code into a serverless function based on analysis of code in execution in a cloud computing environment is disclosed. The block of code can be correlated to high levels of computing resource utilization that can inflate a cost of deploying a corresponding application in the cloud computing environment by prophylactically increasing an amount of provisioned computing resources to accommodate the high-utilization of the block of code. Converting the block of code into a serverless function can reduce the cost via offloading the functionality from the code into a function call supported by the cloud computing environment in an as-needed capacity, thereby reducing the amount of prophylactically provisioned computing resources. The recommendation can occur continuously in a production environment and cot-to-utilization information can render to facilitate identification of code block conversion targets.