Abstract: Systems and methods for aggregating and analyzing digital manufacturing data are disclosed. An aggregator can collect output data generated by a number of digital manufacturing machines. The output data can be filtered and transmitted to a server for storage in a database. One or more clients can access the data in the database via an API. This can extract 3D printer data, transform it into a canonical form, and upload it to a network-based database. These services can interact using a client-centric messaging system like Kafka or, more generally, a message manager. When a client's producer sends a message, the messaging system responds that the message request either can or cannot be processed. If the message can be processed, then the aggregator sends the message; otherwise the producer can retry at a future time.

Abstract: Systems and methods for aggregating and analyzing digital manufacturing data are disclosed. An aggregator can collect output data generated by a number of digital manufacturing machines. The output data can be filtered and transmitted to a server for storage in a database. One or more clients can access the data in the database via an API. This can extract 3D printer data, transform it into a canonical form, and upload it to a network-based database. These services can interact using a client-centric messaging system like Kafka or, more generally, a message manager. When a client's producer sends a message, the messaging system responds that the message request either can or cannot be processed. If the message can be processed, then the aggregator sends the message; otherwise the producer can retry at a future time.

Abstract: Systems and methods for aggregating and analyzing digital manufacturing data are disclosed. An aggregator can collect output data generated by a number of digital manufacturing machines. The output data can be filtered and transmitted to a server for storage in a database. One or more clients can access the data in the database via an API. This can extract 3D printer data, transform it into a canonical form, and upload it to a network-based database. These services can interact using a client-centric messaging system like Kafka or, more generally, a message manager. When a client's producer sends a message, the messaging system responds that the message request either can or cannot be processed. If the message can be processed, then the aggregator sends the message; otherwise the producer can retry at a future time.