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

Node group

Now that we have prepared an image for the worker nodes in our cluster, we can set up an autoscaling group to manage the launching of the EC2 instances that will form our cluster.

EKS doesn't tie us to managing our nodes in any particular way, so autoscaling groups are not the only option for managing the nodes in our cluster, but using them is one of the simplest ways of managing multiple worker instances in our cluster.

If you wanted to use multiple instance types in your cluster, you could repeat the launch configuration and autoscaling group configuration for each instance type that you wanted to use. In this configuration, we are launching c5.large instances on demand, but you should refer back to Chapter 6, Planning for Production, for more information about choosing appropriate instance sizes for your cluster.

The first part of the configuration sets up...