In this tutorial, we will learn why to use Docker containers for Machine Learning. Learn how to resolve the “it works in my machine” problem.
The first thing to understand before talking about containerization is the concept of micro-services. If a large application is broken down into smaller services, each of those services or small processes can be termed micro-services and they communicate with each other over a network. The microservices approach is the opposite of the monolithic approach which can be difficult to scale. If one particular feature has some issues or crashes, all other features will experience the same. Another example is when the demand for a particular feature is seriously increasing, we are forced to increase the resources such as the hardware not only for this particular feature but for the entire application generating additional costs that are not necessary. This cost can be minimized if a micro-services approach is taken by breaking down the application into a group of smaller services. Each service or features of the application is isolated in a way that we can scale or update without impacting other application features. To put machine learning into production, let’s consider that the application needs to be broken down into smaller micro-services such as ingestion, preparation, combination, separation, training, evaluation, inference, postprocessing and monitoring.
Following the second video about Docker basics, in this video, I explain Docker architecture and explain the different building blocks of the docker engine; docker client, API, Docker Daemon. I also explain what a docker registry is and I finish the video with a demo explaining and illustrating how to use Docker hub.
Docker Architecture Overview & Docker Components. This ultimate guide revolves around the underlying technologies used by Docker Containers to provide effective containerisation services to its users. It explains the entire Docker architecture and its components using intuitive diagrams.
Welcome to this on Docker Tutorial for Beginners. In this video provides an Introduction on C++ development with Docker containers. So we will see How to ship C++ Programs in Docker.
“Docker: Understanding Docker Architecture and Components”, The First thing we are going to do is to run the “docker run hello-world” command. This command tries to find the “hello-world” image locally and if not found, it then downloads an image from the docker hub and runs the container out of this image.
This entry-level guide will tell you why and how to Dockerize your WordPress projects.