How do I deploy a Keras model in production and monitor its performance over time

Question

Can i know How do I deploy a Keras model in production and monitor its performance over time?

Answer 1

Deploy a Keras model using a Flask API with TensorFlow Serving and monitor performance using Prometheus and Grafana.

Here is the code snippet you can refer to:

In the above code, we are using the following key points:

• Loads a pre-trained Keras model (model.h5).
• Sets up a simple Flask API to serve predictions.
• Accepts JSON input and returns predictions.
• Runs the server on 0.0.0.0:5000 for accessibility.

Hence, by using Flask to serve predictions and monitoring tools like Prometheus and Grafana, we ensure a scalable and well-observed Keras model deployment in production.