Diving deeper into Kubeflow, Kubernetes, and EKS

In Chapter 3, Deep Learning Containers, we learned that containers help guarantee the consistency of environments where applications can run. In the hands-on solutions of the said chapter, we worked with two containers—one container for training our deep learning model and another one for deploying the model. In larger applications, we will most likely encounter the usage of multiple containers running a variety of applications, databases, and automated scripts. Managing these containers is not easy and creating custom scripts to manage the uptime and scaling of the running containers is an overhead we wish to avoid. That said, it is recommended that you use a tool that helps you focus on what you need to accomplish. One of the available tools that can help us deploy, scale, and manage containerized applications is Kubernetes. This is an open source container orchestration system that provides a framework for running resilient...