Publisher: O'Re..illy Media 2011 | 76 Pages
ISBN: 144930544X
EPUB + PDF | 1 MB + 5 MB
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 recipes includes a code solution you can use immediately, along with a discussion of why and how the recipes 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 and Elastic IP address with and instance
*Restore an 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
Python and AWS Cookbook
Download (EPUB) | Download (PDF)
EPUB + PDF | 1 MB + 5 MB
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 recipes includes a code solution you can use immediately, along with a discussion of why and how the recipes 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 and Elastic IP address with and instance
*Restore an 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
Python and AWS Cookbook
Download (EPUB) | Download (PDF)
