Abstract: Systems and methods for democratizing compliance in an enterprise. A system receives a selection of a project in the enterprise and a compliance type, causes a list of controls associated with the compliance type to be displayed on a user interface, receives a set of configurations for each of the list of controls from the user, dynamically generates a schema based on the compliance type, the list of controls, and the set of configurations, automatically triggers execution of validation of each of the list of controls for the compliance type based on the generated schema, generates results of the validation, the results including a list of non-compliant controls and a list of compliant controls. The execution of validation of the list of controls is retriggered until each of the list of controls corresponding to the compliance type is compliant.

Abstract: In some implementations, a device may generate, based at least in part on a first set of inputs, a serverless software development environment associated with a set of cloud resources. The device may generate, based at least in part on a first machine learning model, a technology stack recommendation having a set of associated tools for performing a software development task. The device may instantiate the selected technology stack in the serverless software development environment and generate a set of applications based at least in part on executing the set of tools. The device may deploy the set of applications in one or more serverless application environments. The device may use machine learning to observe deployed applications, detect hidden anomalies, and perform root-cause analysis, thereby providing a lean and sustainable serverless environment.

Abstract: In some implementations, a device may generate, based at least in part on a first set of inputs, a serverless software development environment associated with a set of cloud resources. The device may generate, based at least in part on a first machine learning model, a technology stack recommendation having a set of associated tools for performing a software development task. The device may instantiate the selected technology stack in the serverless software development environment and generate a set of applications based at least in part on executing the set of tools. The device may deploy the set of applications in one or more serverless application environments. The device may use machine learning to observe deployed applications, detect hidden anomalies, and perform root-cause analysis, thereby providing a lean and sustainable serverless environment.