Python and AWS Cookbook

1. General Info
-A Quick Note About Python
-Installing boto
-Getting Started with Amazon Web Services
-Using boto with Eucalyptus
-Using boto with Google Cloud Storage
-Finding Available Regions for AWS
-Enabling Debug Output with boto
-Controlling Socket Timeouts in boto

2. EC2 Recipes
-Launching an Instance
-Keeping Track of Instances with Tags
-Accessing the Console Log
-Uploading Your Own SSH Keypair
-Synchronizing SSH Keypairs Across EC2 Regions
-Associate an Elastic IP Address with an Instance
-Attach a Persistent EBS Volume to an Instance
-Back Up Your EBS Volumes
-Restore a Volume from a Snapshot
-Clone an Existing Instance
-Find All Running EC2 Instances
-Monitoring the Performance of Your Instance
-Getting Notifications
-Storing Custom Data in CloudWatch
-Executing Custom Scripts upon Instance Startup

3. S3 Recipes
-Create a Bucket
-Create a Bucket in a Specific Location
-Store Private Data
-Store Metadata with an Object
-Computing Total Storage Used by a Bucket
-Copy an Existing Object to Another Bucket
-Modify the Metadata of an Existing Object
-Find Out Who Is Accessing Your Data
-Reduce the Cost of Storing Noncritical Data
-Generating Expiring URLs for S3 Objects
-Preventing Accidental Deletion of Data from S3
-Hosting Static Websites on S3
-Uploading Large Objects to S3