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Building Highly
Available, Scalable
   Web Properties
         with AWS
      Joe Ziegler │Technical Evangelist

              @jiyosub
1.   ELASTICITY
2.   DESIGN FOR FAILURE
3.   LOOSE COUPLING
4.   SECURITY
5.   PERFORMANCE
#   1
ELASTICITY
   ●○○○○
AMAZON EC2
ELASTIC COMPUTE CLOUD
AMAZON
 CLOUDWATCH
MONITORING FOR AWS RESOURCES
AUTO SCALING
SCALE UP/DOWN EC2 CAPACITY
ELASTIC LOAD
 BALANCING
NETWORK TRAFFIC DISTRIBUTION
6 am
10 am
10 am
10 am
7 pm
7 pm
7 pm
without elasticity you can't accelerate
what you really need is…




                           …adjustable capacity
#   2
DESIGN FOR FAILURE
       ●●○○○
« Everything fails
 all the time »
                Werner Vogels
               CTO of Amazon
YOUR GOAL

Applications should continue to function even if
  the underlying physical hardware fails or is
              removed or replaced
Avoid single points of failure.

Assume everything fails, and design
backwards.
Avoid single points of failure.

Assume everything fails, and design
backwards.
AMAZON RDS
RELATIONAL DATABASE SERVICE
AMAZON
ROUTE 53
DOMAIN NAME SERVICE
AMAZON RDS
MULTI-AZ
DEPLOYMENT
AMAZON CLOUDWATCH

  ALARMS
AWS BUILDING BLOCKS
Inherently Fault-Tolerant Services     Fault-Tolerant with
                                       the right architecture
 Amazon S3            Elastic Load
                         Balancing        Amazon EC2
 Amazon SimpleDB
                       AWS IAM           Amazon EBS
 Amazon DynamoDB
                       AWS Elastic       Amazon RDS
 Amazon CloudFront      Beanstalk
 Amazon SWF                              Amazon VPC
                       Amazon
 Amazon SQS             ElastiCache
 Amazon SNS           Amazon EMR
 Amazon SES           Amazon
                         CloudSearch
 Amazon Route53
NETFLIX
CHAOS MONKEY
#   3
 LOOSE
COUPLING
  ●●●○○
BUILD LOOSELY
COUPLED SYSTEMS



 The looser the are coupled,
    the bigger they scale
Create independent components
Create independent components


Design everything as a Black Box
Create independent components


Design everything as a Black Box


Think in terms of services
TRANSCODE
RECEIVE
           & PUBLISH
TRANSCODE
RECEIVE
                   & PUBLISH




          QUEUE
AMAZON SQS
SIMPLE QUEUE SERVICE
START




  CHECK
                                 REJECT           STOP
  VIDEO



                               YES

                  NO
       TOO              SPAM               PUBLISH
                                 SPAM?
      LONG?            CHECK               & NOTIFY

YES                            NO




 SHORTEN
                               TRANSCODE
  VIDEO
MAINTENANCE
AUDITABILITY
FLEXIBILITY
LOW-LEVEL
WHAT ARE WE
TRYING TO DO?
START




  CHECK
                                 REJECT           STOP
  VIDEO



                               YES

                  NO
       TOO              SPAM               PUBLISH
                                 SPAM?
      LONG?            CHECK               & NOTIFY

YES                            NO




 SHORTEN
                               TRANSCODE
  VIDEO
START




  CHECK
                                 REJECT           STOP
  VIDEO



                               YES

                  NO
       TOO              SPAM               PUBLISH
                                 SPAM?
      LONG?            CHECK               & NOTIFY

YES                            NO




 SHORTEN
                               TRANSCODE
  VIDEO
START




  CHECK
                                 REJECT           STOP
  VIDEO



                               YES

                  NO
       TOO              SPAM               PUBLISH
                                 SPAM?
      LONG?            CHECK               & NOTIFY

YES                            NO




 SHORTEN
                               TRANSCODE
  VIDEO
TASKS

DECISIONS   STATELESS !




 HISTORY
STATELESS SCALES
  HORIZONTALLY
AMAZON SWF
    WORKFLOW SERVICE FOR
SCALABLE, RESILIENT APPLICATIONS
AMAZON SWF
  Keeps track of :

   State
   Executed tasks
   Timeouts
   Errors
WORKFLOW
ACTORS
DECIDERS
     COORDINATION LOGIC

1.   Poll for work on a decision list
     Long polling: 60 seconds

2.   Evaluate workflow execution history
     SWF sends full history in JSON format

3.   Return decision to Amazon SWF
     Usually scheduling another task
WORKERS
     COORDINATION LOGIC

1.   Poll for work on a specific task list
     Long polling: 60 seconds

2.   Execute works, send heartbeats
     SWF sends input data from deciders

3.   Return success / failure
     Detailed data can be provided to deciders
ALL
HORIZONTAL SCALING
  PATTERNS APPLY
NO NEW LANGUAGE
      TO LEARN
YOUR CODE IS YOUR WORKFLOW LANGUAGE
        SWF MAINTAINS STATE
AWS FLOW
      FRAMEWORK
Java Library • Entire workflow can be
   expressed in sequential code •
    Integrated with Java Utils API
CHAINED TASKS
          WITHOUT DECISIONS?

RECEIVE         TRANSCODE      NOTIFY




     use AMAZON SQS
TASK GRAPH
            WITH DECISIONS?
                         GOOD              OK
RECEIVE        CHECK             SPAM
                                                TRANSCODE
 VIDEO         LENGTH           CHECK

            LONG                    SPAM



               SHORTEN                           PUBLISH
                                REJECT
                VIDEO                            & NOTIFY




          use AMAZON SWF
#   4
SECURITY
  ●●●●○
AWS IAM
IDENTITY AND ACCESS MANAGEMENT
MULTI-
MULTI-FACTOR
AUTHENTICATION
SECURITY GROUPS
    LAYERED SECURITY
CERTIFICATIONS
& COMPLIANCE
 SAS 70 Type II audit
 ISO 27001 Certification
 Sarbanes-Oxley SOX
 HIPAA healthcare
 FISMA US Federal Government
 DIACAP MAC III Sensitive IATO
 PCI DSS Compliant
  LEVEL 1 SERVICE PROVIDER
#   5
PERFORMANCE
    ●●●●●
VERTICAL
SCALING
CLUSTER COMPUTE
EIGHT EXTRA LARGE

   2x     Intel Xeon E5-2670, eight-core
          Sandy Bridge architecture

   60.5 GB of memory – 3.3 TB of storage
CLUSTER GPU
QUADRUPLE EXTRA LARGE

          Intel Xeon X5570, quad-core
    2x    Nehalem architecture
       NVIDIA Tesla Fermi
    2x M2050 GPUs
   22 GB of memory – 1.7 TB of storage
AMAZON
ELASTICACHE
MEMCACHED COMPATIBLE
  IN-MEMORY CACHE
SEARCH
ENGINES
Relevance &
 Ranking
Faceting
Range
Searching
AMAZON
CLOUDSEARCH
FULLY-MANAGED SEARCH SERVICE
+
DEMOCRATIZE SEARCH

 Amazon CloudSearch delivers a fully-managed search service in the cloud
that can be set up and running in less than 1 hour, with automatic scaling for
        data & traffic, at a price starting at less than $100 per month.
MEDIA SHARING
REFERENCE ARCHITECTURE
1.   ELASTICITY
2.   DESIGN FOR FAILURE
3.   LOOSE COUPLING
4.   SECURITY
5.   PERFORMANCE
« If you're not embarrassed when you ship
  your first version you waited too long »

                                   Matt Mullenweg
                        CEO & Founder of WordPress
aws-apac-marketing@amazon.com
AWS ANZ Customer
  Appreciation Day
Is Coming to Sydney
    November 13 th

    #AWSCADAU
Highly Available Web Properties in Aws

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Highly Available Web Properties in Aws

Notas do Editor

  1. Elasticity is a fundamental property of the CloudThe difference between a classic architecture and a cloud architecture often resides in elasticity implementation
  2. Ideally, you would need a cursor to dynamically adjust to the desired capacity level.It's exactly what EBK do … automatically.
  3. Pour illustrer le launch early
  4. 00:47:00
  5. Is it open sourced yet ?
  6. AUDITABILITY = No central location to track the status of a task
  7. Montrerqu’apartir du moment oudoit faire des decisions, ilfaut considerer l’option SWFBubbles are steps, or activities. [workers]Arrows are control decisions, or coordination logic. [decider]
  8. Activities, or steps
  9. control decisions, or coordination logic
  10. Writing a decider requires you to review the state of the workflow. The decider itself is stateless but SWF keeps the state and tells the decider about what has happened.[Point out that a decider can return several decisions in the same call. This allows for parallel processing.]To write workers and deciders you can use the SWF SDK (provided for Java, .NET, PHP) or call the API directly, but to make this easier [CUE NEXT SLIDE]
  11. Compare this to what was required to write an SQS queue worker: Now the worker might have to send heartbeats; it also needs to take care of informing SWF if the work has been successful or not. This is required for SWF to keep track.
  12. Create distinct Security Groups for each Amazon EC2 clusterUse group-based rules for controlling access between layersRestrict external access to specific IP rangesEncrypt data “at-rest”, encrypt data “in-transit” (SSL)Use Identity and Access Management (IAM)Rotate your AWS CredentialsUse Multi-Factor AuthenticationUse Amazon Virtual Private Cloud (VPC)
  13. Filter by IP range, port range, security group, role
  14. PCI DSS Level 1AWS satisfies the requirements under PCI DSS for shared hosting providers. AWS also has been successfully validated against standards applicable to a Level 1 service provider under PCI DSS Version 2.0. Merchants and other PCI service providers can use the AWS PCI-compliant technology infrastructure for storing, processing, and transmitting credit card information in the cloud, as long as those customers create PCI compliance for their part of the shared environment. Amazon Elastic Compute Cloud (EC2), Amazon Simple Storage Service (S3), Amazon Elastic Block Storage (EBS) and Amazon Virtual Private Cloud (VPC) were included as part of this validation. Under the same circumstances, other enterprises can also benefit by running their applications on other PCI-compliant technology infrastructure. AWS provides additional information and frequently asked questions about its PCI compliance on its web site.
  15. cloud-hosted search service from AWSfully managed search service on the cloudscales automaticallyeliminates complex managementsupport structured or unstructured text documents. Why ?huge explosion on amount of data created everyday. structured or not. 
  16. Amazon CloudSearch builds an index and picks the appropriate initial search instance type to ensure that your index can be stored in RAM. As your data volume grows, Amazon CloudSearch will scale your search domain to a larger search instance type (or partition your index across multiple instances if you are already on the largest search instance type).As with data volume, Amazon CloudSearch automatically scales your search domain to meet your traffic demands. When a search instance reaches over 80% CPU utilization, CloudSearch scales up your search domain by adding a search instance to handle the increased traffic. Conversely, when a search instance reaches below 30% CPU utilization, CloudSearch scales down your search domain by removing the additional search instances in order to minimize costs.
  17. Pour illustrer le launch early