Summary
Congratulations! You made it this far!
As of this point, you have already seen and used JupyterHub, Elyra, Apache Spark, MLflow, Apache Airflow, Seldon Core, and Kubernetes. You have learned how these tools can solve the problems that MLOps is trying to solve. And, you have seen all these tools running well on Kubernetes.
There are a lot more things that we want to show you on the platform. However, we can only write so much, as the features of each of those tools that you have seen are enough to fill an entire book.
In the next chapter, we will take a step back to look at the big picture of what has been built so far. Then, you will start using the platform end-to-end on an example use case. You will be wearing different hats, such as data scientist, ML engineer, data engineer, and a DevOps person in the succeeding chapters.
