Ultimate MLOps Learning Roadmap with Free Learning Resources In 2023

Kubernetes: This open-source system allows you to automate the deployment, scaling, and management of containerized applications. It can be particularly useful for managing machine learning workflows, as it allows you to easily scale up or down as needed. Docker: It is a tool designed to make it easier to create, deploy, and run applications by using containers. Containers allow you to package an application with all of the parts it needs, such as libraries and other dependencies, and ship it all out as one package. This makes it easier to run the application on any other machine because everything it needs is contained in the package.