Kubernetes on AWS

By : Ed Robinson

1 (3)

Buy this Book

Kubernetes on AWS

1 (3)

By: Ed Robinson

Buy this Book

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.

Preface

Who this book is for

What this book covers

To get the most out of this book

Get in touch

Free Chapter

Google's Infrastructure for the Rest of Us

Why do I need a Kubernetes cluster?

Under the hood

Summary

Start Your Engines

Your own Kubernetes

Building and launching a simple application on Minikube

Summary

Reach for the Cloud

Cluster architecture

Creating an AWS account

Setting up a bastion

Instance profiles

Kubernetes software

Installing Kubeadm

Bootstrapping the cluster

Access the API from your workstation

Setting up pod networking

Launching worker nodes

Demo time

Summary

Managing Change in Your Applications

Running pods directly

Jobs

CronJob

Managing long running processes with deployments

DaemonSet

Summary

Managing Complex Applications with Helm

Installing Helm

Configuring a chart

Creating your own charts

Hooks

Packaging Helm charts

Organizational patterns for Helm

Next steps

Planning for Production

The design process

Discovering requirements

Availability

Capacity

Performance

Security

Observability

Summary

A Production-Ready Cluster

Building a cluster

Getting started with Terraform

Control Plane

Preparing node images

Node group

Provisioning add-ons

Managing change

Summary

Sorry My App Ate the Cluster

Resource requests and limits

Horizontal Pod Autoscaling

Summary

Storing State

Volumes

Storage classes

StatefulSet

Summary

Demo time

Congratulations, if you have made it this far through the chapter! You should by now have a fully functional Kubernetes cluster that you can use to experiment with and explore Kubernetes more fully.

Let's demonstrate that the cluster we have built is working by deploying an application to our cluster, as follows:

kubectl apply -f
   https://raw.githubusercontent.com/PacktPublishing/Kubernetes-on-AWS/master/chapter03/demo.yaml

This manifest deploys a simple web application and a service to expose the application to the internet using a load balancer. We can view the public DNS name of the load balancer by using the kubectl get service command, as follows:

> kubectl get svc demo -o wide

Once you have the public address of the load balancer, you might need to wait for a few moments before the address starts to resolve. Visit the address in your browser; you should...