Cloud environment data distribution

A method for managing multiple cloud-delivered services, the method comprising:

• receiving, by an integration adapter executing at a data distribution computing system, event data from a first cloud-delivered service, the event data describing an event at the first cloud-delivered service;
• sending, by the integration adapter and to a determination engine executing at the data distribution computing system, a request for data objects for responding to the event;
• executing, by the determination engine, a trained computerized model;
• providing, by the determination engine, to the trained computerized model, at least a portion of the event data;
• determining, by the determination engine and based on the trained computerized model, a set of data objects responsive to the event at the first cloud-delivered service, the set of data objects comprising a first data object stored at a database management system in communication with the data distribution computing system and a second data object stored by a second cloud-delivered service different than the database management system;
• determining, by the determination engine, a first target cloud-delivered service that is to receive the first data object in response to the event at the first cloud-delivered service and a second target cloud-delivered service that is to receive the second data object in response to the event at the first cloud-delivered service;
• replicating, by the integration adapter, the first data object from the database management system to generate a first replicated data object;
• replicating, by the integration adapter, the second data object from the second cloud-delivered service to generate a second replicated data object;
• sending, by the integration adapter, the first replicated data object to the first target cloud-delivered service;
• sending, by the integration adapter, the second replicated data object to the second target cloud-delivered service;
• sending, by the integration adapter and to the first cloud-delivered service, a feedback request message;
• receiving, by the integration adapter and from the first cloud-delivered service, feedback data, the feedback data describing a responsiveness of the first data object or the second data object to the event;
• and
• modifying the trained computerized model based at least in part on the feedback data.

A non-transitory machine-readable medium comprising instructions thereon that, when executed by at least one processor, causes the at least one processor to perform operations comprising:

• receiving, by an integration adapter executing at a data distribution computing system, event data from a first cloud-delivered service, the event data describing an event at the first cloud-delivered service;
• sending, by the integration adapter and to a determination engine executing at the data distribution computing system, a request for data objects for responding to the event;
• executing, by the determination engine, a trained computerized model;
• providing, by the determination engine, to the trained computerized model, at least a portion of the event data;
• determining, by the determination engine and based on the trained computerized model, a set of data objects responsive to the event at the first cloud-delivered service, the set of data objects comprising a first data object stored by a database management system in communication with the data distribution computing system and a second data object stored by a second cloud-delivered service different than the database management system;
• determining, by the determination engine, a first target cloud-delivered service that is to receive the first data object in response to the event at the first cloud-delivered service and a second target cloud-delivered service that is to receive the second data object in response to the event at the first cloud-delivered service;
• replicating, by the integration adapter, the first data object from the database management system to generate a first replicated data object;
• replicating, by the integration adapter, the second data object from the second cloud-delivered service to generate a second replicated data object;
• sending, by the integration adapter, the first replicated data object to the first target cloud-delivered service;
• sending, by the integration adapter, the second replicated data object to the second target cloud-delivered service;
• sending, by the integration adapter and to the first cloud-delivered service, a feedback request message;
• receiving, by the integration adapter and from the first cloud-delivered service, feedback data, the feedback data describing a responsiveness of the first data object or the second data object to the event;
• and
• modifying the trained computerized model based at least in part on the feedback data.