As a MuleSoft Certified Architect, Designer, and Developer, I recently worked on API implementations for one of our clients using MuleSoft’s CloudHub. One feature that we use in some APIs implementations is to split an input payload into multiple fragments, process each payload unit in parallel, and then merge the responses of each payload unit to send a final consolidated response.
In this article, I will demonstrate splitting a Mule payload into multiple fragments, processing each fragment in parallel, and finally, collecting the output of each fragment into a final response to be sent back to the consumer using MuleSoft. https://goo.gl/fDj2Dt #DataIntegration #ML
