Pivotal Cloud Foundry, Google Machine Learning, and Spring
summary
Demonstrates a working pipeline that ingests a user tweet with image, calls GCP Service Broker bound services from Pivotal Cloud Foundry, uses spring cloud dataflow to run processors that call the Cloud Vision API and Natural Language API, stores results in Google Cloud Datastore, matches inventory (TensorFlow helped for image-to-item matching), and replies with a personalized offer plus Google Maps link. The demo runs end-to-end on PCF with RabbitMQ Redis and MySQL; it generally works though one Python adapter needs occasional restarts. Service broker simply supplies discovery and credentials.
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