“Python + Keras + TensorFlow + DeepLearning4j + Apache Kafka + Kafka Streams” => New example added to my “Machine Learning + Kafka Streams Examples” Github project.
Machine Learning / Deep Learning models can be used in different ways to do predictions. Natively in the application or hosted in a remote model server. Then you combine stream processing with RPC / Request-Response paradigm. This blog post shows examples of stream processing vs. RPC model serving using Java, Apache Kafka, Kafka Streams, gRPC and TensorFlow Serving.
I am happy that my first official Confluent blog post was published and want to link to it from by blog: How to Build and Deploy Scalable Machine Learning in Production with Apache Kafka