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Architecting for High Availability
            Sajee Mathew
           Solutions Architect
What is High Availability?
• Availability: Percentage of time an application operates during its work
  cycle
• Loss of availability is known as an outage or downtime
   – App is offline, unreachable, or partially available
   – App is slow to use
   – Planned and unplanned
• Goal
   – No downtime
   – Always available


                                   2
Availability is related to
•   Scalability
     – Ability of an application to accommodate growth without changing design
     – If app cannot scale, availability may be impacted
     – Scalability doesn’t guarantee availability
•   Fault Tolerance
     – Built-in redundancy so apps can continue functioning when components fail
     – Fault tolerance is crucial to HA
•   Disaster Recovery
     – The process, policies, and procedures related to restoring service after a catastrophic event
•   AWS democratizes High Availability
     – Multiple servers, isolated redundant data centers, regions across the globe, FT services, etc.




                                              3
AWS GLOBAL
INFRASTRUCTURE
Regions
 US-WEST (Oregon)
                                                               EU-WEST (Ireland)

                          AWS GovCloud (US)
                                                                                                 ASIA PAC (Tokyo)




                                  US-EAST (Virginia)


                                                                                                                    ASIA PAC (Sydney)
US-WEST (N. California)




                                              SOUTH AMERICA (Sao Paulo)
                                                                                   ASIA PAC
                                                                                   (Singapore)
Availability Zones
 US-WEST (Oregon))
                                                               EU-WEST (Ireland)

                          AWS GovCloud (US)
                                                                                                 ASIA PAC (Tokyo)




                                  US-EAST (Virginia)


                                                                                                                    ASIA PAC (Sydney)
US-WEST (N. California)




                                              SOUTH AMERICA (Sao Paulo)

                                                                                   ASIA PAC
                                                                                   (Singapore)
AWS BUILDING BLOCKS
Inherently Highly Available and           Highly Available with
Fault Tolerant Services                   the right architecture


 Amazon S3                 Amazon SQS      Amazon EC2
 Amazon DynamoDB           Amazon SNS      Amazon EBS
 Amazon CloudFront         Amazon SES      Amazon RDS
 Amazon Route53            Amazon SWF      Amazon VPC
 Elastic Load Balancing    …
1.   DESIGN FOR FAILURE
2.   MULTIPLE AVAILABILITY ZONES
3.   SCALING
4.   SELF-HEALING
5.   LOOSE COUPLING
LET’S BUILD A
HIGHLY AVAILABLE
     SYSTEM
#   1
DESIGN FOR FAILURE
       ●○○○○
« Everything fails
  all the time »
                  Werner Vogels
                 CTO of Amazon
AVOID SINGLE POINTS OF FAILURE
AVOID SINGLE POINTS OF FAILURE




ASSUME EVERYTHING FAILS,
AND WORK BACKWARDS
YOUR GOAL
Applications should continue to function
AMAZON EBS
 ELASTIC BLOCK STORE
AMAZON ELB
ELASTIC LOAD BALANCING
HEALTH CHECKS
#   2
     MULTIPLE
AVAILABILITY ZONES
       ●●○○○
AMAZON RDS
MULTI-AZ
AMAZON ELB AND
MULTIPLE AZs
#   3
SCALING
  ●●●○○
AUTO SCALING
SCALE UP/DOWN EC2 CAPACITY
#   4
SELF-HEALING
    ●●●●○
HEALTH CHECKS
     +
AUTO SCALING
HEALTH CHECKS
      +
 AUTO SCALING
       =
SELF-HEALING
DEGRADED MODE
AMAZON S3
   STATIC WEBSITE
         +
  AMAZON ROUTE 53
WEIGHTED RESOLUTION
#5
 LOOSE
COUPLING
  ●●●●●
BUILD LOOSELY
COUPLED SYSTEMS
   The looser they are coupled,
      the bigger they scale,
 the more fault tolerant they get…
AMAZON SQS
 SIMPLE QUEUE SERVICE
PUBLISH&
RECEIVE   TRANSCODE
                       NOTIFY
PUBLISH&
RECEIVE   TRANSCODE
                       NOTIFY
VISIBILITY TIMEOUT
BUFFERING
CLOUDWATCH METRICS
  FOR AMAZON SQS
        +
   AUTO SCALING
1.   DESIGN FOR FAILURE
2.   MULTIPLE AVAILABILITY ZONES
3.   SCALING
4.   SELF-HEALING
5.   LOOSE COUPLING
1.   DESIGN FOR FAILURE
2.   MULTIPLE AVAILABILITY ZONES
3.   SCALING
4.   SELF-HEALING
5.   LOOSE COUPLING
1.   DESIGN FOR FAILURE
2.   MULTIPLE AVAILABILITY ZONES
3.   SCALING
4.   SELF-HEALING
5.   LOOSE COUPLING
1.   DESIGN FOR FAILURE
2.   MULTIPLE AVAILABILITY ZONES
3.   SCALING
4.   SELF-HEALING
5.   LOOSE COUPLING
1.   DESIGN FOR FAILURE
2.   MULTIPLE AVAILABILITY ZONES
3.   SCALING
4.   SELF-HEALING
5.   LOOSE COUPLING
1.   DESIGN FOR FAILURE
2.   MULTIPLE AVAILABILITY ZONES
3.   SCALING
4.   SELF-HEALING
5.   LOOSE COUPLING
YOUR GOAL
Applications should continue to function
IT’S ALL ABOUT

   CHOICE
BALANCE COST & HIGH AVAILABILITY
AWS ARCHITECTURE CENTER
http://aws.amazon.com/architecture

AWS TECHNICAL ARTICLES
http://aws.amazon.com/articles

AWS BLOG
http://aws.typepad.com

AWS PODCAST
http://aws.amazon.com/podcast

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Architecting for High Availability

  • 1. Architecting for High Availability Sajee Mathew Solutions Architect
  • 2. What is High Availability? • Availability: Percentage of time an application operates during its work cycle • Loss of availability is known as an outage or downtime – App is offline, unreachable, or partially available – App is slow to use – Planned and unplanned • Goal – No downtime – Always available 2
  • 3. Availability is related to • Scalability – Ability of an application to accommodate growth without changing design – If app cannot scale, availability may be impacted – Scalability doesn’t guarantee availability • Fault Tolerance – Built-in redundancy so apps can continue functioning when components fail – Fault tolerance is crucial to HA • Disaster Recovery – The process, policies, and procedures related to restoring service after a catastrophic event • AWS democratizes High Availability – Multiple servers, isolated redundant data centers, regions across the globe, FT services, etc. 3
  • 5. Regions US-WEST (Oregon) EU-WEST (Ireland) AWS GovCloud (US) ASIA PAC (Tokyo) US-EAST (Virginia) ASIA PAC (Sydney) US-WEST (N. California) SOUTH AMERICA (Sao Paulo) ASIA PAC (Singapore)
  • 6. Availability Zones US-WEST (Oregon)) EU-WEST (Ireland) AWS GovCloud (US) ASIA PAC (Tokyo) US-EAST (Virginia) ASIA PAC (Sydney) US-WEST (N. California) SOUTH AMERICA (Sao Paulo) ASIA PAC (Singapore)
  • 7. AWS BUILDING BLOCKS Inherently Highly Available and Highly Available with Fault Tolerant Services the right architecture  Amazon S3  Amazon SQS  Amazon EC2  Amazon DynamoDB  Amazon SNS  Amazon EBS  Amazon CloudFront  Amazon SES  Amazon RDS  Amazon Route53  Amazon SWF  Amazon VPC  Elastic Load Balancing  …
  • 8. 1. DESIGN FOR FAILURE 2. MULTIPLE AVAILABILITY ZONES 3. SCALING 4. SELF-HEALING 5. LOOSE COUPLING
  • 9. LET’S BUILD A HIGHLY AVAILABLE SYSTEM
  • 10.
  • 11.
  • 12.
  • 13.
  • 14. # 1 DESIGN FOR FAILURE ●○○○○
  • 15. « Everything fails all the time » Werner Vogels CTO of Amazon
  • 16. AVOID SINGLE POINTS OF FAILURE
  • 17. AVOID SINGLE POINTS OF FAILURE ASSUME EVERYTHING FAILS, AND WORK BACKWARDS
  • 18. YOUR GOAL Applications should continue to function
  • 19.
  • 20.
  • 21.
  • 22. AMAZON EBS ELASTIC BLOCK STORE
  • 23.
  • 24.
  • 25.
  • 26.
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  • 29.
  • 31.
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  • 33.
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  • 36. # 2 MULTIPLE AVAILABILITY ZONES ●●○○○
  • 38.
  • 39.
  • 40.
  • 41.
  • 43.
  • 44.
  • 45. # 3 SCALING ●●●○○
  • 46.
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  • 50.
  • 51.
  • 52.
  • 53.
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  • 55.
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  • 57.
  • 58. # 4 SELF-HEALING ●●●●○
  • 59. HEALTH CHECKS + AUTO SCALING
  • 60.
  • 61.
  • 62.
  • 63.
  • 64. HEALTH CHECKS + AUTO SCALING = SELF-HEALING
  • 66. AMAZON S3 STATIC WEBSITE + AMAZON ROUTE 53 WEIGHTED RESOLUTION
  • 67.
  • 68.
  • 69.
  • 70. #5 LOOSE COUPLING ●●●●●
  • 71. BUILD LOOSELY COUPLED SYSTEMS The looser they are coupled, the bigger they scale, the more fault tolerant they get…
  • 72. AMAZON SQS SIMPLE QUEUE SERVICE
  • 73. PUBLISH& RECEIVE TRANSCODE NOTIFY
  • 74. PUBLISH& RECEIVE TRANSCODE NOTIFY
  • 75.
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  • 95.
  • 96. CLOUDWATCH METRICS FOR AMAZON SQS + AUTO SCALING
  • 97.
  • 98.
  • 99.
  • 100.
  • 101.
  • 102.
  • 103. 1. DESIGN FOR FAILURE 2. MULTIPLE AVAILABILITY ZONES 3. SCALING 4. SELF-HEALING 5. LOOSE COUPLING
  • 104. 1. DESIGN FOR FAILURE 2. MULTIPLE AVAILABILITY ZONES 3. SCALING 4. SELF-HEALING 5. LOOSE COUPLING
  • 105. 1. DESIGN FOR FAILURE 2. MULTIPLE AVAILABILITY ZONES 3. SCALING 4. SELF-HEALING 5. LOOSE COUPLING
  • 106. 1. DESIGN FOR FAILURE 2. MULTIPLE AVAILABILITY ZONES 3. SCALING 4. SELF-HEALING 5. LOOSE COUPLING
  • 107. 1. DESIGN FOR FAILURE 2. MULTIPLE AVAILABILITY ZONES 3. SCALING 4. SELF-HEALING 5. LOOSE COUPLING
  • 108. 1. DESIGN FOR FAILURE 2. MULTIPLE AVAILABILITY ZONES 3. SCALING 4. SELF-HEALING 5. LOOSE COUPLING
  • 109. YOUR GOAL Applications should continue to function
  • 110. IT’S ALL ABOUT CHOICE BALANCE COST & HIGH AVAILABILITY
  • 111. AWS ARCHITECTURE CENTER http://aws.amazon.com/architecture AWS TECHNICAL ARTICLES http://aws.amazon.com/articles AWS BLOG http://aws.typepad.com AWS PODCAST http://aws.amazon.com/podcast