System and method for testing cloud hybrid ai/ml platforms

A system for performing a health check of a user configured function, the system comprising:

• at least one processor;
• at least one memory;
• and
• at least one communication circuit,
• wherein the at least one processor is configured to:
• submit, via a user interface and over a public network, a function and a corresponding meta file to a health check system;
• upload the function to an object storage and store in the object storage;
• validate the meta file;
• when the meta file is validated, send a validation result to a plugin master table of a metadata database for storage, and retrieve the function from the object storage by a private network;
• validate, on the private network, the function;
• and
• when the function is validated, update a status of the function in the plugin master table, and add a schedule for execution of the validated function to a health check master table of the metadata database.

A non-transitory computer readable storage medium that stores a computer program for performing a health check of a user configured function, the computer program, when executed by a processor, causing a system to perform a process comprising:

• submitting, via a user interface and over a public network, a function and a corresponding meta file to a health check system;
• uploading the function to an object storage and storing in the object storage;
• validating the meta file;
• when the meta file is validated, sending a validation result to a plugin master table of a metadata database for storage, and retrieving the function from the object storage by a private network;
• validating, on the private network, the function;
• and
• when the function is validated, updating a status of the function in the plugin master table, and adding a schedule for execution of the validated function to a health check master table of the metadata database.