Book Image

Getting Started with Containerization

By : Dr. Gabriel N. Schenker, Hideto Saito, Hui-Chuan Chloe Lee, Ke-Jou Carol Hsu
Book Image

Getting Started with Containerization

By: Dr. Gabriel N. Schenker, Hideto Saito, Hui-Chuan Chloe Lee, Ke-Jou Carol Hsu

Overview of this book

Kubernetes is an open source orchestration platform for managing containers in a cluster environment. This Learning Path introduces you to the world of containerization, in addition to providing you with an overview of Docker fundamentals. As you progress, you will be able to understand how Kubernetes works with containers. Starting with creating Kubernetes clusters and running applications with proper authentication and authorization, you'll learn how to create high-availability Kubernetes clusters on Amazon Web Services (AWS), and also learn how to use kubeconfig to manage different clusters. Whether it is learning about Docker containers and Docker Compose, or building a continuous delivery pipeline for your application, this Learning Path will equip you with all the right tools and techniques to get started with containerization. By the end of this Learning Path, you will have gained hands-on experience of working with Docker containers and orchestrators, including SwarmKit and Kubernetes. This Learning Path includes content from the following Packt products: • Kubernetes Cookbook - Second Edition by Hideto Saito, Hui-Chuan Chloe Lee, and Ke-Jou Carol Hsu • Learn Docker - Fundamentals of Docker 18.x by Gabriel N. Schenker
Table of Contents (25 chapters)
Title Page
Copyright
About Packt
Contributors
Preface
Index

Consuming Docker system events


The Docker engine, when creating, running, stopping, and removing containers and other resources such as volumes or networks, produces a log of events. These events can be consumed by external systems, such as some infrastructure services that use them to make informed decisions. An example of such a service could be a tool that creates an inventory of all containers that are currently running on the system.

We can hook ourselves into this stream of system events and output them, for example in a terminal, by using the following command:

$ docker system events

This command is a blocking command. Thus, when you execute it in your terminal session the according session is blocked. Therefore, we recommend that you always open an extra window when you want to use this command.

Assuming we have executed the preceding command in an extra terminal window, we can now test it and run a container like this:

$ docker container run --rm alpine echo "Hello World"

The output produced...