Book Image

AWS SysOps Cookbook - Second Edition

By : Eric Z. Beard, Rowan Udell, Lucas Chan
Book Image

AWS SysOps Cookbook - Second Edition

By: Eric Z. Beard, Rowan Udell, Lucas Chan

Overview of this book

AWS is an on-demand remote computing service providing cloud infrastructure over the internet with storage, bandwidth, and customized support for APIs. This updated second edition will help you implement these services and efficiently administer your AWS environment. You will start with the AWS fundamentals and then understand how to manage multiple accounts before setting up consolidated billing. The book will assist you in setting up reliable and fast hosting for static websites, sharing data between running instances and backing up data for compliance. By understanding how to use compute service, you will also discover how to achieve quick and consistent instance provisioning. You’ll then learn to provision storage volumes and autoscale an app server. Next, you’ll explore serverless development with AWS Lambda, and gain insights into using networking and database services such as Amazon Neptune. The later chapters will focus on management tools like AWS CloudFormation, and how to secure your cloud resources and estimate costs for your infrastructure. Finally, you’ll use the AWS well-architected framework to conduct a technology baseline review self-assessment and identify critical areas for improvement in the management and operation of your cloud-based workloads. By the end of this book, you’ll have the skills to effectively administer your AWS environment.
Table of Contents (15 chapters)

Launching an instance

There will be scenarios usually when testing and developing your infrastructure code where you need quick access to an instance. Creating it via the AWS CLI is the quickest and most consistent way to create one-off instances.

There are other recipes in this book that will require a running instance. This recipe will get you started.

Getting ready

For this recipe, you must have an existing key pair.

Here, we will be launching an instance of AWS Linux using an Amazon Machine Image (AMI) ID in the us-east-1 region. If you are working in a different region, you will need to update your image-id parameter, since AMIs are stored in each region with unique identifiers.

You must have configured...