This document provides an overview and comparison of Google App Engine (GAE) and Amazon Web Services (AWS) for hosting applications and services in the cloud. It outlines some of the key features of each including autoscaling, programming languages supported, databases, limitations, pricing models, and example uses. GAE focuses on being easy to use with automatic scaling but has some limitations around customization. AWS provides more flexibility and control through its infrastructure as a service model but requires more management. Both offer free tiers for new users and pay-as-you-go pricing thereafter.

1. The life in the CloudGoogle App Engine & Amazon Web Services 22 June 2011 1

2. Content Google App Engine (GAE) Amazon Web Services (AWS) 2

3. Google App Engine SaaS= Software as a Service Autoscaling Its Free!! Paid if you use more http://code.google.com/intl/en/appengine/ Signup: https://appengine.google.com/ SMS verifying 3

4. GAE - Limitations No Relational Database Instead: “google data store” Google Query Language (GQL) No joins Hard to configure custom libraries Limited to what googleoffers No full Java support No support for “naked domains” foreach.com No hard drive … Files must be stored in the Data Store 4

5. GAE – Pro’s Hot deploy Fast Easy (launcher) App versioning No server configuration No servers to maintain Data store works out of the box Datastores are created automatically Automatic scaling Easy integration with all Google API’s Authentication Google accounts Picasa Google Maps etc 5

6. GAE – Techstuff Supported for: Java Python Go! Mature Eclipse Plugin Launcher: Emulator of GAE for development Online dashboard: https://appengine.google.com/ 6 Guillermo

7. GAE – Example in Python Object Oriented scripting language Create app in the dashboard https://appengine.google.com/ Create project in Eclipse Google plugin must be installed http://code.google.com/intl/en/appengine/docs/java/tools/eclipse.html 7

8. GAE – Hola Platano Simple example, 2 files: app.yaml holaplatano.py 8

9. GAE – app.yaml application: holaplatanoexample version: 1 runtime: python api_version: 1 handlers: - url: /.* script: holaplatano.py 9

10. GAE – holaplatano.py print 'Content-Type: text/html‘ print '‘ print ‘HolaPlatano’ 10

11. GAE – Overall Not really feasible for big projects Easy to use Good enough for smaller sites Free tier is sufficient 11

12. Amazon Web Service 12

13. AWS – Overview IaaS = Infrastructure as a Service Cloud computing Set of services You only pay for what you use Scattered all over the world Different datacenters Paid service Free tier for new users 13

14. AWS – Services Elastic Compute Cloud (ec2) Simple Storage Service (s3) CloudFront Relational Database Service (RDS) … 14

15. AWS – Services API RESTfulAPI authenticated All services are accessible through their API. Java Python Ruby .NET iPhone Android Online console Not everything supported yet Large community and code samples 15

16. AWS – Elastic Compute Cloud (ec2) Create a Virtual Instances Linux Windows Preconfigured instances http://aws.amazon.com/ec2/#instance Reusable images Up and running in 5 minutes 16

17. AWS – Simple Storage Service (s3) Storage in the cloud Unlimited 99.9999999999999999999999% durability and availability No FTP, no disk … its somewhere 17

18. AWS – CloudFront Content Delivery Network Content stored on edge locations All over the world User connects to the nearest location 18

19. AWS – Relational Database Service (RDS) Based on ec2 Scalable database Scale up Scale out (read-replications) Supported Oracle MySQL 19

20. AWS – Some Limitations Not a network infrastructure Dynamic ip’s (they have elastic ips) No multicast ip’s Instances are preconfigured Disk IO is slower … 20

21. Da wast 21 Any questions?