Summary

Congratulations! You are now able to report metrics and build your own dashboards in Grafana to monitor your data science applications. Over time, don’t hesitate to add new metrics or complete your dashboards if you notice some blind spots: the goal is to be able to watch over every important part at a glance so you can quickly take corrective actions. Those metrics can also be used to drive the evolution of your work: by monitoring the performance and accuracy of your ML models, you can track the effects of your changes and see whether you are going in the right direction.

This is the end of this book and our FastAPI journey. We sincerely hope that you liked it and that you learned a lot along the way. We’ve covered many subjects, sometimes just by scratching the surface, but you should now be ready to build your own projects with FastAPI and serve smart data science algorithms. Be sure to check all the external resources we proposed along the way, as they...