Book Image

Kubernetes on AWS

By : Ed Robinson
Book Image

Kubernetes on AWS

By: Ed Robinson

Overview of this book

Docker containers promise to radicalize the way developers and operations build, deploy, and manage applications running on the cloud. Kubernetes provides the orchestration tools you need to realize that promise in production. Kubernetes on AWS guides you in deploying a production-ready Kubernetes cluster on the AWS platform. You will then discover how to utilize the power of Kubernetes, which is one of the fastest growing platforms for production-based container orchestration, to manage and update your applications. Kubernetes is becoming the go-to choice for production-grade deployments of cloud-native applications. This book covers Kubernetes from first principles. You will start by learning about Kubernetes' powerful abstractions - Pods and Services - that make managing container deployments easy. This will be followed by a guided tour through setting up a production-ready Kubernetes cluster on AWS, while learning the techniques you need to successfully deploy and manage your own applications. By the end of the book, you will have gained plenty of hands-on experience with Kubernetes on Amazon Web Services. You will also have picked up some tips on deploying and managing applications, keeping your cluster and applications secure, and ensuring that your whole system is reliable and resilient to failure.
Table of Contents (12 chapters)

Labelling images

If you have an even moderately complex workflow for developing and releasing your software, you might quickly find yourself wanting to add even more semantic information about your images into its tag than just a simple version number. This can quickly become unwieldy, as you will need to modify your build and deployment tooling whenever you want to add some extra information.

Thankfully, Docker images carry around labels that can be used to store whatever metadata is relevant to your image.

Adding a label to your image is done at build time, using the LABEL instruction in your Dockerfile. The LABEL instruction accepts multiple key value pairs in this format:

LABEL <key>=<value> <key>=<value> ... 

Using this instruction, we can store any arbitrary metadata that we find useful on our images. And because the metadata is stored inside the...