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Architecting for high
availability
Ianni Vamvadelis, Solution Architect
What is High Availability (HA)?

• Percentage of time an application operates
• Loss of availability is known as an outage or downtime
   – Planned and unplanned
   – App is offline, unreachable, or partially available
   – App is unresponsive




                             2
HA is related to …
• Scalability
   – Often slow is indistinguishable from unavailable.
• Fault Tolerance
   – Apps continue functioning when components fail
• Disaster Recovery
   – Restoring service after a catastrophic event



                            3
HA and DR                  High Availability          Disaster Recovery

• A continuum
• business continuity plan
• Not all or nothing proposition

In the face of internal or external events, how do you…
     – Keep your applications running 24x7
     – Make sure you data is safe
     – Get an application recovered after a major disaster


                                   4
How does AWS Help
 High Availability?
US-WEST (Oregon)
                                                                EU-WEST (Ireland)

                          AWS GovCloud (US)
                                                                                                  ASIA PAC (Tokyo)




                                  US-EAST (Virginia)


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




                                                                                    ASIA PAC
                                                                                    (Singapore)


                                              SOUTH AMERICA (Sao Paulo)
US-WEST (Oregon))
                                                                EU-WEST (Ireland)

                          AWS GovCloud (US)
                                                                                                  ASIA PAC (Tokyo)




                                  US-EAST (Virginia)


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




                                                                                    ASIA PAC
                                                                                    (Singapore)


                                              SOUTH AMERICA (Sao Paulo)
Automation




             8
AWS SERVICES
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    …
AWS
Principles for HA
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
Summary
Leverage AWS Services

Apply 5 principles for HA

Automate

Test your HA implementation


                            117
aws.amazon.com/architecture



            118
JUST EAT WITH AWS
HIGH AVAILABILITY
JUST EAT
   13 countries
   34,000+ restaurants
   8m+ members
   Over 50m orders
 16,000+ restaurants in UK, 8m visits a month




                                                 120
PLATFORM
                                                                                          Devices in restaurants




     Apps and
     External
     Services
                    Consumer                   Public API       Customer     Restaurant
                     Website                                    Care Tools    Services


       APIs

                     Order API   Ratings API       Search API        …             …



      Common
   Infrastructure
                    SQL Server   Networking        Monitoring     Emails




                                                                                                          121
DESIGN FOR FAILURE
                                                           Devices in restaurants




               Web                          Device
              Service                       Service
                             Orders
           eu-west-1a        queue       eu-west-1a



               Web                            JCT
                                            Device
              Service                       Service
                                            Service


            eu-west-1b
                             Orders       eu-west-1b
                              data


               Web
              Service


            eu-west-1c                    eu-west-1c
        Auto scaling Group            Auto scaling Group




                                                                           122
SCALING - PROACTIVE




                      123
SCALING - PROACTIVE

                      Web servers in data center




                                         124
SCALING – PROACTIVE

                      Web servers in data center




                             Web EC2 instances




                                         125
SCALING – REACTIVE

                     Web servers in data center




                            Web EC2 instances




                                        126
EVERYTHING MULTI AZ – CONSUMER WEBSITE




                 99%
                 66%                   99%
                                       66%                66%




                                                                Monitor to keep resource usage at
    eu-west-1a            eu-west-1b         eu-west-1c
                                                                max of 66% of capacity in each AZ
                                                                  when everything’s available.
                       Auto scaling Group




                                                                                         127
EVERYTHING MULTI AZ – INTERNAL APIS
                                            Applications assume that internal APIs will fail
                                           or run slowly. So can cope with the loss of an AZ
                                              or instances – will just degrade gracefully.




                  100%
                   80%                    80%
                                         100%                                80%




                                                                                               Alarms tell us that performance has
     eu-west-1a             eu-west-1b                         eu-west-1c
                                                                                                been degraded – but platform will
                                                                                                  self heal as new instances are
                                                                                                             launched.
                         Auto scaling Group




                                                                                                                        128
EVERYTHING MULTI AZ – SQL SERVER 2012
                                 Connection strings simply contain
                               both primary and secondary servers –
                                    no code changes required.




      Primary      Witness                                             Alarms tell us that failover has
                                                 Secondary
     eu-west-1a   eu-west-1b                     eu-west-1c
                                                                      occurred, but it happens without
                                                                            manual intervention.




                                                                                              129
www.just-eat.com/jobs

DANIEL RICHARDSON                   twitter.com/JustEatUK
DIRECTOR OF ENGINEERING, JUST EAT

daniel.richardson@just-eat.com
                                    www.facebook.com/justeat

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Advanced Topics - Session 4 - Architecting for High Availability

  • 1. Architecting for high availability Ianni Vamvadelis, Solution Architect
  • 2. What is High Availability (HA)? • Percentage of time an application operates • Loss of availability is known as an outage or downtime – Planned and unplanned – App is offline, unreachable, or partially available – App is unresponsive 2
  • 3. HA is related to … • Scalability – Often slow is indistinguishable from unavailable. • Fault Tolerance – Apps continue functioning when components fail • Disaster Recovery – Restoring service after a catastrophic event 3
  • 4. HA and DR High Availability Disaster Recovery • A continuum • business continuity plan • Not all or nothing proposition In the face of internal or external events, how do you… – Keep your applications running 24x7 – Make sure you data is safe – Get an application recovered after a major disaster 4
  • 5. How does AWS Help High Availability?
  • 6. US-WEST (Oregon) EU-WEST (Ireland) AWS GovCloud (US) ASIA PAC (Tokyo) US-EAST (Virginia) ASIA PAC (Sydney) US-WEST (N. California) ASIA PAC (Singapore) SOUTH AMERICA (Sao Paulo)
  • 7. US-WEST (Oregon)) EU-WEST (Ireland) AWS GovCloud (US) ASIA PAC (Tokyo) US-EAST (Virginia) ASIA PAC (Sydney) US-WEST (N. California) ASIA PAC (Singapore) SOUTH AMERICA (Sao Paulo)
  • 9. AWS SERVICES 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  …
  • 11. 1. DESIGN FOR FAILURE 2. MULTIPLE AVAILABILITY ZONES 3. SCALING 4. SELF-HEALING 5. LOOSE COUPLING
  • 12. LET’S BUILD A HIGHLY AVAILABLE SYSTEM
  • 13.
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  • 17. #1 DESIGN FOR FAILURE ●○○○○
  • 18. « Everything fails all the time » Werner Vogels CTO of Amazon
  • 19. AVOID SINGLE POINTS OF FAILURE
  • 20. AVOID SINGLE POINTS OF FAILURE ASSUME EVERYTHING FAILS, AND WORK BACKWARDS
  • 21. YOUR GOAL Applications should continue to function
  • 22.
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  • 25. AMAZON EBS ELASTIC BLOCK STORE
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  • 39. # 2 MULTIPLE AVAILABILITY ZONES ●●○○○
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  • 63. #4 SELF-HEALING ●●●●○
  • 64. HEALTH CHECKS + AUTO SCALING
  • 65.
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  • 68.
  • 69. HEALTH CHECKS + AUTO SCALING = SELF-HEALING
  • 71. AMAZON S3 STATIC WEBSITE + AMAZON ROUTE 53 WEIGHTED RESOLUTION
  • 72.
  • 73.
  • 74.
  • 75. #5 LOOSE COUPLING ●●●●●
  • 76. BUILD LOOSELY COUPLED SYSTEMS The looser they are coupled, the bigger they scale, the more fault tolerant they get…
  • 77. AMAZON SQS SIMPLE QUEUE SERVICE
  • 78. PUBLISH& RECEIVE TRANSCODE NOTIFY
  • 79. PUBLISH& RECEIVE TRANSCODE NOTIFY
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  • 101. CLOUDWATCH METRICS FOR AMAZON SQS + AUTO SCALING
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  • 109. 1. DESIGN FOR FAILURE 2. MULTIPLE AVAILABILITY ZONES 3. SCALING 4. SELF-HEALING 5. LOOSE COUPLING
  • 110. 1. DESIGN FOR FAILURE 2. MULTIPLE AVAILABILITY ZONES 3. SCALING 4. SELF-HEALING 5. LOOSE COUPLING
  • 111. 1. DESIGN FOR FAILURE 2. MULTIPLE AVAILABILITY ZONES 3. SCALING 4. SELF-HEALING 5. LOOSE COUPLING
  • 112. 1. DESIGN FOR FAILURE 2. MULTIPLE AVAILABILITY ZONES 3. SCALING 4. SELF-HEALING 5. LOOSE COUPLING
  • 113. 1. DESIGN FOR FAILURE 2. MULTIPLE AVAILABILITY ZONES 3. SCALING 4. SELF-HEALING 5. LOOSE COUPLING
  • 114. 1. DESIGN FOR FAILURE 2. MULTIPLE AVAILABILITY ZONES 3. SCALING 4. SELF-HEALING 5. LOOSE COUPLING
  • 115. YOUR GOAL Applications should continue to function
  • 116. IT’S ALL ABOUT CHOICE BALANCE COST & HIGH AVAILABILITY
  • 117. Summary Leverage AWS Services Apply 5 principles for HA Automate Test your HA implementation 117
  • 119. JUST EAT WITH AWS HIGH AVAILABILITY
  • 120. JUST EAT  13 countries  34,000+ restaurants  8m+ members  Over 50m orders  16,000+ restaurants in UK, 8m visits a month 120
  • 121. PLATFORM Devices in restaurants Apps and External Services Consumer Public API Customer Restaurant Website Care Tools Services APIs Order API Ratings API Search API … … Common Infrastructure SQL Server Networking Monitoring Emails 121
  • 122. DESIGN FOR FAILURE Devices in restaurants Web Device Service Service Orders eu-west-1a queue eu-west-1a Web JCT Device Service Service Service eu-west-1b Orders eu-west-1b data Web Service eu-west-1c eu-west-1c Auto scaling Group Auto scaling Group 122
  • 124. SCALING - PROACTIVE Web servers in data center 124
  • 125. SCALING – PROACTIVE Web servers in data center Web EC2 instances 125
  • 126. SCALING – REACTIVE Web servers in data center Web EC2 instances 126
  • 127. EVERYTHING MULTI AZ – CONSUMER WEBSITE 99% 66% 99% 66% 66% Monitor to keep resource usage at eu-west-1a eu-west-1b eu-west-1c max of 66% of capacity in each AZ when everything’s available. Auto scaling Group 127
  • 128. EVERYTHING MULTI AZ – INTERNAL APIS Applications assume that internal APIs will fail or run slowly. So can cope with the loss of an AZ or instances – will just degrade gracefully. 100% 80% 80% 100% 80% Alarms tell us that performance has eu-west-1a eu-west-1b eu-west-1c been degraded – but platform will self heal as new instances are launched. Auto scaling Group 128
  • 129. EVERYTHING MULTI AZ – SQL SERVER 2012 Connection strings simply contain both primary and secondary servers – no code changes required. Primary Witness Alarms tell us that failover has Secondary eu-west-1a eu-west-1b eu-west-1c occurred, but it happens without manual intervention. 129
  • 130. www.just-eat.com/jobs DANIEL RICHARDSON twitter.com/JustEatUK DIRECTOR OF ENGINEERING, JUST EAT daniel.richardson@just-eat.com www.facebook.com/justeat