Python and AWS Cookbook: Managing Your Cloud with Python and Boto

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Book details

AuthorGarnaat, Mitch
PublisherO'Reilly Media
BindingPaperback
PublishedNovember 29, 2011
Edition1
LanguageEnglish
Pages78
ISBN-10144930544X
ISBN-139781449305444
Weight0.35 lb
Dimensions
H × W × L		 0.5 in × 6.85 in × 8.98 in

Python and AWS Cookbook: Managing Your Cloud with Python and Boto

$10.47 $25.99
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In stock
SKU:
144930544X-5
Condition
Condition notes

Used book in acceptable condition. Pages and cover may have wear, tears, or stickers. Notes or highlighting are possible. CDs and access codes may be missing.

About this book

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.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...

Read the full description

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.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.This book’s recipes include methods to help you:Launch instances on EC2, and keep track of them with tagsAssociate an Elastic IP address with an instanceRestore a failed Elastic Block Store volume from a snapshotStore and monitor your own custom metrics in CloudWatchCreate a bucket in S3 to contain your data objectsReduce the cost of storing noncritical dataPrevent accidental deletion of data in S3


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