US Patent 12061899 Infrastructure as code (IaC) pre-deployment analysis via a machine-learning model

Deployment code that identifies a desired deployment of a computer application onto a computing system comprising one or more compute instances is accessed. The computer application includes a plurality of computing components to be deployed on the one or more compute instances in accordance with the deployment code. Contents of the deployment code are input into a machine learning model (MLM) that has been trained using: a plurality of previously generated deployment codes that identified corresponding desired deployments of corresponding computer applications, and information that identifies successes or failures associated with attempted deployments of the previously generated deployment codes. An output is received from the MLM. Based on the output from the MLM, information indicative of a likelihood of success of deploying the deployment code is sent to a destination.