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<p/><br></br><p><b> Book Synopsis </b></p></br></br><p>If you intend to use Amazon Web Services (AWS) for remote computing and storage, Python is an ideal programming language for developing applications and controlling your cloud-based infrastructure. This cookbook gets you started with more than two dozen recipes for using Python with AWS, based on the author's boto library.</p><p>You'll find detailed recipes for working with the S3 storage service as well as EC2, the service that lets you design and build cloud applications. Each recipe includes a code solution you can use immediately, along with a discussion of why and how the recipe works. You also get detailed advice for using boto with AWS and other cloud services.</p><p>This book's recipes include methods to help you: </p><ul><li>Launch instances on EC2, and keep track of them with tags</li><li>Associate an Elastic IP address with an instance</li><li>Restore a failed Elastic Block Store volume from a snapshot</li><li>Store and monitor your own custom metrics in CloudWatch</li><li>Create a bucket in S3 to contain your data objects</li><li>Reduce the cost of storing noncritical data</li><li>Prevent accidental deletion of data in S3</li></ul><p/><br></br><p><b> About the Author </b></p></br></br><p>Mitch Garnaat is a software developer at Eucalyptus Systems where he is responsible for the development of tools to make it easier to create and manage cloud computing resources. Previously, as a Principal Engineer at Xerox PARC he was the co-inventor and lead developer of DocuShare, a web-based document management product from Xerox. He is the creator of boto, an open source Python library for cloud computing.</p>

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