Python and AWS Cookbook

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 tags Associate an Elastic IP address with an instance Restore a failed Elastic Block Store volume from a snapshot Store and monitor your own custom metrics in CloudWatch Create a bucket in S3 to contain your data objects Reduce the cost of storing noncritical data Prevent accidental deletion of data in S3 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 Annotation 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 authors boto library. Youll 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 books 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 "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"--Page 4 of cover This book will focus on Elastic Compute Cloud (EC2), Auto Scaling, Elastic Load Balancing and one or two other Amazon Web Services for developers writing in Python. COMPUTERS / Programming Languages / Python