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)

Availability

The availability is shown in the following diagram:

One of the most important things to think about when planning a production system is availability. It is almost always the case that we run software in order to provide our users with a service. If, for whatever reason, our software is not available to meet the requests our users put on it, then, often, we fail to meet their expectations. Depending on the service that your organization provides, unavailability could cause your users to be unhappy, inconvenienced, or even suffer losses or harm. Part of making an adequate plan for any production system is understanding how downtime or errors might affect your users.

Your definition of availability can depend on the sorts of workload that your cluster is running and your business requirements. A key part in planning a Kubernetes cluster is to understand the requirements...