Abstract: Described herein are machine learning methods and systems for application programming Interface (API) management. One or more machine learning-based models, such as a neural network, may be trained to provide a prediction(s) that an API request is likely to succeed (e.g., not cause the API to crash) or to fail (e.g., cause the API to crash, freeze, etc.). The one or more machine learning-based models may be trained using historical API requests that were successful and historical API requests that are not successful. Various aspects of the API requests, as well as system properties associated with the machine(s) that executes/processes the historical API requests, may be used as well when training the one or more machine learning-based models.

Abstract: Provided are methods and systems for application program interface (API) management. An API management device may receive requests from client devices to submit an API and/or API update for implementation. The API management device may determine an operable status of the API and/or the API update by determining whether the API and/or the API update is configured and/or updated for implementation. The API and/or the API update may be determined to be configured and/or updated for implementation when the API and/or the API update does not violate one or more rules. The API management device, based on operable status, may allow or deny the request for implementation.

Abstract: Provided are methods and systems for application program interface (API) management. An API management device may receive requests from client devices to submit an API and/or API update for implementation. The API management device may determine an operable status of the API and/or the API update by determining whether the API and/or the API update is configured and/or updated for implementation. The API and/or the API update may be determined to be configured and/or updated for implementation when the API and/or the API update does not violate one or more rules. The API management device, based on operable status, may allow or deny the request for implementation.

Abstract: Provided are methods and systems for application program interface (API) management. An API management device may receive requests from client devices to submit an API and/or API update for implementation. The API management device may determine an operable status of the API and/or the API update by determining whether the API and/or the API update is configured and/or updated for implementation. The API and/or the API update may be determined to be configured and/or updated for implementation when the API and/or the API update does not violate one or more rules. The API management device, based on operable status, may allow or deny the request for implementation.