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 Table of Contents......Page 5 Conventions Used in This Book......Page 7 Safari® Books Online......Page 8 How to Contact Us......Page 9 Manually Download and Install boto......Page 11 Installing boto with easy_install......Page 12 Installing euca2ools......Page 13 Create Your AWS Account......Page 14 Managing Your AWS Credentials in boto......Page 16 What Is Eucalyptus?......Page 17 Managing Your Google Cloud Storage Credentials in boto......Page 18 1.6 Finding Available Regions for AWS......Page 19 1.8 Controlling Socket Timeouts in boto......Page 20 Discussion......Page 21 Solution......Page 25 Discussion......Page 26 Solution......Page 27 Discussion......Page 28 Discussion......Page 29 Solution......Page 30 Discussion......Page 31 Discussion......Page 32 Discussion......Page 33 Discussion......Page 34 Discussion......Page 36 Solution......Page 37 Discussion......Page 38 Discussion......Page 41 Discussion......Page 46 Problem......Page 47 Discussion......Page 48 Discussion......Page 57 Discussion......Page 58 Solution......Page 59 Solution......Page 60 Discussion......Page 61 Discussion......Page 62 Discussion......Page 63 Problem......Page 64 Discussion......Page 65 Discussion......Page 66 Discussion......Page 67 Discussion......Page 68 Discussion......Page 70 Problem......Page 71 Discussion......Page 72 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