Rule-based autonomous database cloud service framework

One or more non-transitory computer-readable media storing instructions that, when executed by one or more processors, cause:

• training a machine learning engine based on a first plurality of past events that were historically generated by one or more database management systems (DBMSs) that include a particular DBMS;
• the machine learning engine generating a first plurality of database rules that includes:
• a first rule to generate a request that indicates database configuration details,
• a second rule that is applicable to a pluggable database, and
• a third rule that is applicable to a container database;
• a rules engine receiving an event from the particular DBMS;
• the rules engine executing, based on the event, said first rule to generate the request that indicates the database configuration details;
• the rules engine sending the request to a request broker;
• the request broker dispatching an asynchronous job based on the request;
• the asynchronous job configuring a database based on the database configuration details;
• retraining the machine learning engine based on a second plurality of past events that are more recent than the first plurality of past events;
• increasing a confidence score based on a count of past events in the second plurality of past events;
• the machine learning engine generating, when the confidence score exceeds a threshold, a second plurality of database rules that replaces the first plurality of database rules.