Running Your Startup onAmazon Web Services
Alex IskoldFounder/CEO AdaptiveBlue
Feature Writer ReadWriteWeb
Amazon Web Services (AWS) -robust, scalable and affordable
infrastructure for cloud computing.
This session is about:
We will cover:
The Basics of Cloud Computing The Benefits of Using Amazon Web Services Amazon Web Services Stack How AdaptiveBlue is using AWS How you can get started using AWS
Basics of Cloud Computing
Basics of Cloud Computing
Scalable Hardware Layer
Basics of Cloud Computing
Scalable Hardware Layer
Software Infrastructure LayerGrid
ServiceStorageService
Queue Service
Example: Storage Service
StorageService
StorageService
StorageService
StorageService
New Server
The data is automaticallyre-partitioned/re-balanced totake advantage of the new server
5 Benefits of UsingAmazon Web Services
1. Pay-per use model
You are only charged for disk space,CPU time and bandwidth that you use.
2. Instant scalability
Your Service automaticallyscales on AWS stack.
3. Reliable/Redundant/Secure
Infrequent outages (so far).Data is redundant in the cloud.
All services have built-in security.
* Soon will add Comprehensive to the list.
4. Most services accessed via simpleREST/SOAP API
Libraries are available in all major languages.Minimal learning curve.
5. Amazon - Experience &Commitment
Amazon has been doing this for ~15 years. Company-wide commitment to AWS.
Amazon Web Services Stack
Simple DatabaseService (SimpleDB)
Elastic Cloud Service (EC2)
Simple StorageService (S3)
Simple QueueService (SQS)
Elastic Compute Cloud (EC2)
On-demand grid
EC2 in a Nutshell
MachineImage
(OS + Apps)
Usage:
• Create Machine Image• Deploy the image to S3• Start 1 or more instances• Use it as regular machine(s)
Main Options:
• Dynamic/Static IPS• Choose cores• Choose locations• Persistence via EBS
Sample EC2 Use CasesBatch Processing
All instances are configured with the same code. Each instance operates on a subset of data. Partitions are specified in configuration file.
Web Service
All instances are configured with the same code. One or more instances are configured as load balancers
(HAProxy for example). DNS Server distributes requests between load balancers.
EC2 vs. Web Hosting Company
Good
Instantly add new instances Full-control over the machines and choice of the environment Likely cheaper (but depends on your exact situation)
Bad
Need to put the images together and manage instances No dedicated technical support(but there is premium support and RightScale solutions)
Simple Storage Service (S3)
Large media and everything else storage.
S3 in a Nutshell
Client
Idea:
Put/Get objects into bucketsbased on unique keys.
Main Features:
• Public/Private access.• Support for large objects.
Amazon S3
Bucket 1 Bucket N…
Put object Get object
Sample S3 Use CasesImage/Video storage
Put your media once on S3 and then serve it up Reads are 10 times cheaper than writes!
Serialize your Java Objects
Define unique key based on the object attributes Write out binary serialized version to a stream Write bytes to S3 Read them back when needed
Simple Database Service (SimpleDB)
Basic database and indexing service
Simple DB in a Nutshell
Client
Idea:
Create flat database with auto-indexed tables.
Main Features:
• Each attribute is indexed.• Record structure is flexible.• Basic operators in queries• Supports sorting.
Simple DB DomainRecord 1
Put recordGet recordQuery records
Key1 Attributes: A1,A2…
Record NKey2 Attributes: A1,A2…
…
Sample SimpleDB Use Cases
Index Media files stored on S3
Use the same key as on S3 Write the record with each metadata element as attribute
Store flat objects
Use SimpleDB as a storage for non-nested data
Simple Queue Service (SQS)
Infinite Asynchronous Queue
SQS in a Nutshell
Writer
Idea:
Create an infinite asynchronous queue.
Main Features:
• Multiple queues• Upto 4K messages• Message Locking
SQS QueueMessage 1
SendMessage
ReceiveMessage
Message N
…
Reader
Sample SQS Use Cases
Twitter Friend Update
For each update generate a task to update friends Process updates in order
Publish/Subscribe
Post messages to the queue to inform multiple subscribers
Process Pipeline
Use different queues to put, for example, and order through a pipeline.
How AdaptiveBlue usesAmazon Web Services
AdaptiveBlue Overview
We develop browser enhancement technologies thatdeliver contextual relevant information into the usercurrent page:
1. What did your friends and other people think about it?
2. How popular is this book right now?
3. What are additional relevant links for this book?
AdaptiveBlue & AWSBackground
One of the first companies to use AWS Started with using S3 Now using S3, SimpleDB, EC2 and Commerce Service
AdaptiveBlue AWS Architecture
Web Browser 1 Web Browser N…
SimpleDB
EC2
S3
WS1
LB
WSn WS1
LB
WSn
AdaptiveBlue & AWS
On EC2: We are running web service and load balancers
On S3: We are storing XML representation of books, music,
movies, stocks, wines, etc. as well as XML of user profiles.
On SimpleDB: Records of interactions between users and things they are
looking at, liking or commenting. Records that map user ids to other services Records that map between our internal object keys and
URLs for this object around the web.
Noteworthy usage
We turn SimpleDB into relational database via redundancy.
We have person and object domains. Each time when the userinteracts with an object we write a record withUSERNAME/OBJECT_KEY pair into 2 domains - one objectdomain, one person domain.
This way we can instantly retrieve recent objects for a personand recent people for each object.
AdaptiveBlueRecommends AWS
We love Amazon Web Services and couldn’t have built AdaptiveBluewithout them.
Thanks to AWS we scale today to hundreds of thousands of users .
Amazon team has been nothing less than outstanding in supporting us andhelping us architect correct solutions.
We recommend AWS to everyone who asks, because we believe that itoffers unprecedented head start, scalability and savings.
Amazon Web Services Resources
All you need - basic info, gettingstarted, pricing, tutorials, code,
forums - all on AWS home page:
http://tinyurl.com/ynfsn6
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