Rabbit MQ with Docker for Microservices

Rabbit MQ message broker helps to implement event-driven architecture for microservices. Instead of tight coupling multiple services, we can send and subscribe to events. In this video, I explain how to dockerize Rabbit MQ and provide a simple, but complete example of communication through Rabbit MQ.

 

React and TensorFlow.js

I explain how to create React app with Yarn and how to integrate TensorFlow.js into that app. A simple model is trained with TensorFlow.js to give you a good starting point. I also show how to run the predict function and read the output.

 

ML Microservice Client with Python and gRPC

In this video, I continue to talk about microservices for ML. I explain how to implement a direct call from the training service to fetch data and run training with model evaluation.

 

ML Microservice with Python and gRPC

I explain how to implement microservice in Python for Machine Learning code. In this example, data processing is done with Pandas, Numpy, and Scikit-Learn libraries. Communication is implemented through gRPC, I explain how to send Numpy array through gRPC.