1. PHP Office Hours
January 12th, 2011

2. Introduction
Jeff Barr, Sr. Evangelist Ryan Parman, PHP
Based in Seattle Development Engineer
Author of Based in Seattle
“Host Your Website in the Creator of the PHP SDK
Cloud”

3. Office Hours IS
Simply, Office Hours is a program the enables a
technical audience the ability to interact with AWS
technical experts.
We look to improve this program by soliciting
feedback from Office Hours attendees. Please let us
know what you would like to see.

4. Office Hours is NOT
Support
 If you have a problem with your current deployment
please visit our forums or our support website
http://aws.amazon.com/premiumsupport/
A place to find out about upcoming services
 We do not typically disclose information about our
services until they are available.

5. Agenda
What’s New
How-to Demonstrations
 Dynamically Instantiate Infrastructure
 Scalable Processing Pipeline
Question and Answer
 Please begin submitting questions now

7. Programming AWS With PHP
We’ll use the free AWS SDK for PHP libraries from
http://aws.amazon.com/sdkforphp

8. SDK Basics
 Download and unpack
 Add directory to PHP’s include_path
 Add AWS keys to config.inc.php
define('AWS_KEY', 'J35NTGFCQOIUY3OMNSQQ');
define('AWS_SECRET_KEY',
'99pizu2vVOK11rk9UAgWVj7PBGzWwertqJlgLV0c');
 Include one file:
require_once('sdk.class.php');

9. SDK XML / PHP SimpleXML

11. Example 1 – Dynamically Instantiate Infrastructure
10 GB
EBS
Volume
Elastic
IP
Address EC2 Instance
100 GB
EBS
Volume

12. Run an EC2 Instance

13. Get Instance Info

14. Allocate Elastic IP Address

15. Attach IP Address to Instance

16. Create 2 EBS Virtual Disk Volumes

17. Attach The Volumes To the Instance

18. Example 2 – Scalable Processing Pipeline

19. Building a Scalable Image Processing Pipeline
Fetch a web page, store in Amazon S3
Parse page and extract links to images
Fetch first 16 images on page, store in Amazon S3
Render images as composite image

20. SQS-Based Application Architecture
URL Fetch S3
Queue Images
Fetch &
Render
Store Page
Queue
Render
Parse S3 Images & S3
Queue Pages
Parse
Page
Image
Queue

21. Architecture Attributes
Simple
 Each stage is easy to understand
 AWS reduces low-level coding
Scalable
 Add more processes
 Add more instances
 Add more stages
 Storage any amount of data
Fault Tolerant
 Messages remain in queues until processed
 Messages reappear in queues if process dies
Asynchronous
 Each stage runs at its own speed
 Build, test, run one stage at a time

22. Define Queues

23. Create Queues

24. Create Queues & Check Status

25. Locate a Queue's URL

26. Post Message to Queue

27. Receive Message From Queue

28. Return Received Message

29. Sample Processing Stage

30. Detailed Processing

31. Detailed Processing

32. Render Images