Book Image

AWS Administration Cookbook

By : Rowan Udell, Lucas Chan
Book Image

AWS Administration Cookbook

By: Rowan Udell, Lucas Chan

Overview of this book

Amazon Web Services (AWS) is a bundled remote computing service that provides cloud computing infrastructure over the Internet with storage, bandwidth, and customized support for application programming interfaces (API). Implementing these services to efficiently administer your cloud environments is a core task. This book will help you build and administer your cloud environment with AWS. We’ll begin with the AWS fundamentals, and you’ll build the foundation for the recipes you’ll work on throughout the book. Next, you will find out how to manage multiple accounts and set up consolidated billing. You will then learn to set up reliable and fast hosting for static websites, share data between running instances, and back up your data for compliance. Moving on, you will find out how to use the compute service to enable consistent and fast instance provisioning, and will see how to provision storage volumes and autoscale an application server. Next, you’ll discover how to effectively use the networking and database service of AWS. You will also learn about the different management tools of AWS along with securing your AWS cloud. Finally, you will learn to estimate the costs for your cloud. By the end of the book, you will be able to easily administer your AWS cloud.
Table of Contents (16 chapters)
Title Page
Credits
About the Authors
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface

Auditing your AWS account


We're now going to show you how to set up CloudTrail in your AWS account. Once CloudTrail has been enabled, it will start to record all of the API calls made in your account to the AWS service and then deliver them to you as log files in an S3 bucket. When we talk about API calls we mean things like:

  • Actions performed in the AWS console.
  • Calls made to AWS APIs using the CLI or SDKs.
  • Calls made on your behalf by AWS services. Think CloudFormation or the auto scaling service.

Each entry in the log will contain useful information, such as:

  • The service that was called
  • The action that was requested
  • The parameters sent with the request
  • The response that was returned by AWS
  • The identity of the caller (including IP address)
  • The date and time of the request

How to do it...

  1. Create a new CloudFormation template file; we're going to define the following Resources:
    • An S3 bucket for our CloudTrail log files to be stored in
    • A policy for our S3 bucket that allows the CloudTrail service to write...