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Startup Presentation - PowerPoint

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									Running Your Startup on
 Amazon Web Services

          Alex Iskold
  Founder/CEO AdaptiveBlue
 Feature Writer ReadWriteWeb
     This session is about:

  Amazon Web Services (AWS) -
  robust, scalable and affordable
infrastructure for cloud computing.
               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

   Software Infrastructure Layer
 Grid         Storage       Queue
Service       Service       Service


      Scalable Hardware Layer
          Example: Storage Service
            Storage
            Service

                                           Storage
Storage                                    Service
Service                      New Server


           Storage
           Service

                      The data is automatically
                      re-partitioned/re-balanced to
                      take advantage of the new server
 5 Benefits of Using
Amazon 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 automatically
    scales 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 simple
           REST/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
  Elastic Cloud      Simple Storage
  Service (EC2)       Service (S3)




 Simple Database     Simple Queue
Service (SimpleDB)   Service (SQS)
Elastic Compute Cloud (EC2)

         On-demand grid
    EC2 in a Nutshell
               Usage:

               •   Create Machine Image
               •   Deploy the image to S3
               •   Start 1 or more instances
               •   Use it as regular machine(s)

               Main Options:
  Machine      •   Dynamic/Static IPS
   Image       •   Choose cores
(OS + Apps)    •   Choose locations
               •   Persistence via EBS
         Sample EC2 Use Cases
Batch 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
             Amazon S3              Idea:

  Bucket 1               Bucket N   Put/Get objects into buckets
                …                   based on unique keys.




Put object             Get object   Main Features:

                                    •   Public/Private access.
              Client                •   Support for large objects.
               Sample S3 Use Cases
Image/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
       Simple DB Domain
                                       Idea:
              Record 1
   Key1      Attributes: A1,A2…        Create flat database with
                 …                     auto-indexed tables.
              Record N
                                       Main Features:
   Key2      Attributes: A1,A2…
                                       •   Each attribute is indexed.
                       Get record      •   Record structure is flexible.
Put record             Query records   •   Basic operators in queries
                                       •   Supports sorting.
              Client
      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
           SQS Queue
                             Idea:
           Message 1
              …              Create an infinite
                             asynchronous queue.
           Message N


                   Receive    Main Features:
Send               Message
Message                       •   Multiple queues
                              •   Upto 4K messages
  Writer           Reader     •   Message Locking
               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 uses
Amazon Web Services
      AdaptiveBlue Overview
We develop browser enhancement technologies that
deliver contextual relevant information into the user
current 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 & AWS
            Background

 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


                    EC2
         LB                     LB



   WS1        WSn         WS1        WSn



    SimpleDB                    S3
          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 user
  interacts with an object we write a record with
  USERNAME/OBJECT_KEY pair into 2 domains - one object
  domain, one person domain.

 This way we can instantly retrieve recent objects for a person
  and recent people for each object.
                  AdaptiveBlue
                Recommends AWS
 We love Amazon Web Services and couldn’t have built AdaptiveBlue
  without them.

 Thanks to AWS we scale today to hundreds of thousands of users .

 Our current costs are < 2K per month.

 Amazon team has been nothing less than outstanding in supporting us and
  helping us architect correct solutions.

 We recommend AWS to everyone who asks, because we believe that it
  offers unprecedented head start, scalability and savings.
Amazon Web Services Resources

    All you need - basic info, getting
     started, pricing, tutorials, code,
    forums - all on AWS home page:

        http://tinyurl.com/ynfsn6

								
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