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)

Summary

The cluster that we have built in this chapter is still quite simple, and really reflects a starting point that we can build upon in the following chapters. However, it does meet the following essential requirements for production readiness:

  • Reliability: By using EKS, we have provisioned a reliable control plane that we can depend upon to manage our cluster.
  • Scalability: By operating our nodes via an autoscaling group, we can make it simple to add extra capacity to our cluster in seconds.
  • Maintainability: By defining our infrastructure as code using Terraform, we have made it simple to manage our cluster in the future. By setting up a build process for the AMI used by our node machines, we are able to quickly rebuild the image to pull in security updates and updated versions of our node software.