Opening Keynote – Dr. Werner Vogels, Chief Technology Officer, Amazon.com and Customers Pallanikumaran Selvan, Chief Infrastructure Consultant, Data.gov.sg (Infocomm Development Authority Singapore, Data Science Division) Anju Patwardhan, Global Chief Innovation Officer at Standard Chartered Bank Goragot Wongpaisarnsin, General Manager at Toyota Tsusho Electronics Thailand Karthik Subramanian, Chief Technology Officer at Zalora

1. DR. WERNER VOGELS
CHIEF TECHNOLOGY OFFICER
AMAZON.COM
WELCOME

2. @WERNERWELCOME

3. FROM 2010

4. 70%
YOY GROWTH
1,000,000+
ACTIVE CUSTOMERS PER MONTH
AWS IN 2016:

5. 70%
YOY GROWTH
1,000,000+
ACTIVE CUSTOMERS PER MONTH
AWS IN 2016:
10X
COMPUTE CAPACITY IN USE
OF 14 OTHERS, COMBINED

6. 70%
YOY GROWTH
1,000,000+
ACTIVE CUSTOMERS PER MONTH
AWS IN 2016:
10X
COMPUTE CAPACITY IN USE
OF 14 OTHERS, COMBINED
$10B+
RUN RATE

7. THE TECHNOLOGY
PLATFORM OF CHOICE

8. LARGEST NUMBER OF START-UP CUSTOMERS

9. LARGEST NUMBER OF ENTERPRISE CUSTOMERS

10. LARGEST NUMBER OF PUBLIC SECTOR CUSTOMERS

11. BROADEST ECOSYSTEM OF SYSTEM INTEGRATORS

12. BROADEST ECOSYSTEM OF ISVS

13. INNOVATION ACROSS VIRTUALLY EVERY INDUSTRY
98% REDUCTION IN TIME
FOR CLINICAL TRIALS
MILLIONS OF CONCURRENT
PLAYERS AT LAUNCH
PETABYTES OF REALTIME
DATA PER SEASON
REPLAY BILLIONS OF
TRADES INSTANTLY

14. PATTERNS FOR INNOVATION

15. 1: REMOVE CONSTRAINTS

16. UNBOUND CREATIVITY
THROUGH TECHNOLOGY

17. Data Center Servers Networking Databases Storage
EVERYTHING IS PROGRAMMABLE

18. You are no longer constrained to a location

19. You are no longer constrained to a location

20. ASIA’S ONLINE FASHION DESTINATION
Karthik S, CTO
From the DC to AWS
ZALORA Group

21. 22
ZALORA AT A GLANCE
11MMOBILE APP
DOWNLOADS
4MCUSTOMERS
7MVISITS
WEEKLY
1.5MORDERS
SHIPPED
IN Q4 2015
6.5M
FACEBOOK
FANS
5MSUBSCRIBER
S
Zalora in numbers
Q4 2015
Record one-day sales achieved during 12-12
Online Fever (six times previous record)
Clocked 250% increase in mobile customers
2012
ZALORA Group
formed
Q2 2013
Launched 7-11 pick-ups
Launched iOS App
Launched in-house delivery fleet
Received our one millionth order
Q1 2013
Launched first fully
optimized mobile site
Received highest funding
ever for a start up
Q3 2013
Signed River Island
Launched ZALORA e-Magazine
Launched Android App
Q2 2014
Launched Marketplace
Q3 2014
Launched ZALORA label
Q4 2014
Launched same-day delivery
Opened first click-and-mortar store
Q1 2015
Celebrated 3rd anniversary
Q2 2015
Launched ZALORA Taiwan
Key milestones in the Zalora journey

22. ∙ Platform fully hosted in a physical DC in Hong Kong
∙ Average capacity utilisation of 10%
∙ Living dangerously during peaks
∙ Lead-time for adding peak capacity - 10 days!!
∙ Marketing estimates of traffic spikes usually not accurate
23
FROM LAUNCH THROUGH HYPER GROWTH

23. 24
TYPICAL 48 HOURS
Bursty Traffic - Random Period

24. ∙ Early experiments and doubts (2014 onwards)
∙ Gradual traffic and infrastructure ramp-up
∙ Straddling the cloud/DC - LIVE traffic split
∙ Live migration in 30 days for all sites
∙ Average utilisation at 40%, costs down 40% vs DC
∙ Page speeds up 1-2s for ID/PH (slow countries) vs DC
25
TO INFINITY AND BEYOND

25. WHAT WE DID TO OUR DC
26

26. 27

27. www.zalora.com
THANK
YOU

29. UNBOUND CREATIVITY
THROUGH TECHNOLOGY

30. INFRASTRUCTURE
SERVICES
PLATFORM
SERVICES
ENTERPRISE
SERVICES
SECURITY &
COMPLIANCE
MARKETPLACE
PHYSICAL
INFRASTRUCTURE
COMPUTE
STORAGE
DATABASES
NETWORKING
MONITORING
ANALYTICS
APP SERVICES
MOBILE SERVICES
DEV & OPS
IOT
MIGRATION
HYBRID
VIRTUAL
DESKTOPS
CORPORATE EMAIL
COLLABORATION
IDENTITY
ACCESS CONTROL
KEY MANAGEMENT
CONFIG
COMPLIANCE
AUDITING
BUSINESS APPS
BUSINESS
INTELLIGENCE
SECURITY
DEVOPS TOOLS
NETWORKING
REGIONS
AVAILABILITY
ZONES
EDGE POPS
GLOBAL NETWORK
GOVCLOUD

31. INFRASTRUCTURE
SERVICES
PLATFORM
SERVICES
ENTERPRISE
SERVICES
SECURITY &
COMPLIANCE
MARKETPLACE
PHYSICAL
INFRASTRUCTURE
COMPUTE
STORAGE
DATABASES
NETWORKING
MONITORING
ANALYTICS
APP SERVICES
MOBILE SERVICES
DEV & OPS
IOT
MIGRATION
HYBRID
VIRTUAL
DESKTOPS
CORPORATE EMAIL
COLLABORATION
IDENTITY
ACCESS CONTROL
KEY MANAGEMENT
CONFIG
COMPLIANCE
AUDITING
BUSINESS APPS
BUSINESS
INTELLIGENCE
SECURITY
DEVOPS TOOLS
NETWORKING
REGIONS
AVAILABILITY
ZONES
EDGE POPS
GLOBAL NETWORK
GOVCLOUD

32. INFRASTRUCTURE SERVICES
COMPUTE
STORAGE
DATABASES
NETWORKING
MONITORING
PLATFORM
SERVICES
ANALYTICS
APP SERVICES
MOBILE SERVICES
DEV & OPS
IOT
ENTERPRISE
SERVICES
MIGRATION
HYBRID
VIRTUAL
DESKTOPS
CORPORATE
EMAIL
COLLABORATION
SECURITY &
COMPLIANCE
IDENTITY
ACCESS CONTROL
KEY MANAGEMENT
CONFIG
COMPLIANCE
AUDITING
MARKETPLACE
BUSINESS APPS
BUSINESS
INTELLIGENCE
SECURITY
DEVOPS TOOLS
NETWORKING
PHYSICAL
INFRASTRUCTURE
REGIONS
AVAILABILITY
ZONES
EDGE POPS
GLOBAL NETWORK
GOVCLOUD
• GENERAL PURPOSE (M4)
• COMPUTE OPTIMIZED (C4)
• MEMORY OPTIMIZED (R3, X1)
• GPU OPTIMIZED (G2)
• STORAGE OPTIMIZED (D2)
• IO OPTIMIZED (I2)
• LOW COST, BURST-ABLE (T2)
• DEDICATED INSTANCES

33. INFRASTRUCTURE SERVICES
COMPUTE
STORAGE
DATABASES
NETWORKING
MONITORING
PLATFORM
SERVICES
ANALYTICS
APP SERVICES
MOBILE SERVICES
DEV & OPS
IOT
ENTERPRISE
SERVICES
MIGRATION
HYBRID
VIRTUAL
DESKTOPS
CORPORATE
EMAIL
COLLABORATION
SECURITY &
COMPLIANCE
IDENTITY
ACCESS CONTROL
KEY MANAGEMENT
CONFIG
COMPLIANCE
AUDITING
MARKETPLACE
BUSINESS APPS
BUSINESS
INTELLIGENCE
SECURITY
DEVOPS TOOLS
NETWORKING
PHYSICAL
INFRASTRUCTURE
REGIONS
AVAILABILITY
ZONES
EDGE POPS
GLOBAL NETWORK
GOVCLOUD
• MULTI-AZ REPLICATION
• READ REPLICAS
• LIKE FOR LIKE MIGRATION
• CROSS-ENGINE MIGRATION
AMAZON AURORA

34. INFRASTRUCTURE
SERVICES
PLATFORM
SERVICES
ENTERPRISE
SERVICES
SECURITY &
COMPLIANCE
MARKETPLACE
PHYSICAL
INFRASTRUCTURE
COMPUTE
STORAGE
DATABASES
NETWORKING
MONITORING
ANALYTICS
APP SERVICES
MOBILE SERVICES
DEV & OPS
IOT
MIGRATION
HYBRID
VIRTUAL
DESKTOPS
CORPORATE EMAIL
COLLABORATION
IDENTITY
ACCESS CONTROL
KEY MANAGEMENT
CONFIG
COMPLIANCE
AUDITING
BUSINESS APPS
BUSINESS
INTELLIGENCE
SECURITY
DEVOPS TOOLS
NETWORKING
REGIONS
AVAILABILITY
ZONES
EDGE POPS
GLOBAL NETWORK
GOVCLOUD

35. PLATFORM
SERVICES
ANALYTICS
APP SERVICES
MOBILE SERVICES
DEV & OPS
IOT
ENTERPRISE
SERVICES
MIGRATION
HYBRID
VIRTUAL
DESKTOPS
CORPORATE
EMAIL
COLLABORATION
INFRASTRUCTURE
SERVICES
COMPUTE
STORAGE
DATABASES
NETWORKING
MONITORING
MARKETPLACE
BUSINESS APPS
BUSINESS
INTELLIGENCE
SECURITY
DEVOPS TOOLS
NETWORKING
PHYSICAL
INFRASTRUCTURE
REGIONS
AVAILABILITY
ZONES
EDGE POPS
GLOBAL NETWORK
GOVCLOUD
SECURITY & COMPLIANCE
IDENTITY
ACCESS CONTROL
KEY MANAGEMENT
CONFIG
COMPLIANCE
AUDITING
• IDENTITY POLICIES
• LOCATION POLICIES
• TIME-BASED POLICIES
• INDIVIDUAL API CALLS
• KEY ROTATION
• TEMPORARY CREDENTIALS
• POLICY SIMULATOR

36. INFRASTRUCTURE
SERVICES
PLATFORM
SERVICES
ENTERPRISE
SERVICES
SECURITY &
COMPLIANCE
MARKETPLACE
PHYSICAL
INFRASTRUCTURE
COMPUTE
STORAGE
DATABASES
NETWORKING
MONITORING
ANALYTICS
APP SERVICES
MOBILE SERVICES
DEV & OPS
IOT
MIGRATION
HYBRID
VIRTUAL
DESKTOPS
CORPORATE EMAIL
COLLABORATION
IDENTITY
ACCESS CONTROL
KEY MANAGEMENT
CONFIG
COMPLIANCE
AUDITING
BUSINESS APPS
BUSINESS
INTELLIGENCE
SECURITY
DEVOPS TOOLS
NETWORKING
REGIONS
AVAILABILITY
ZONES
EDGE POPS
GLOBAL NETWORK
GOVCLOUD

37. INFRASTRUCTURE SERVICES
COMPUTE
STORAGE
DATABASES
NETWORKING
MONITORING
PLATFORM
SERVICES
ANALYTICS
APP SERVICES
MOBILE SERVICES
DEV & OPS
IOT
ENTERPRISE
SERVICES
MIGRATION
HYBRID
VIRTUAL
DESKTOPS
CORPORATE
EMAIL
COLLABORATION
SECURITY &
COMPLIANCE
IDENTITY
ACCESS CONTROL
KEY MANAGEMENT
CONFIG
COMPLIANCE
AUDITING
MARKETPLACE
BUSINESS APPS
BUSINESS
INTELLIGENCE
SECURITY
DEVOPS TOOLS
NETWORKING
PHYSICAL
INFRASTRUCTURE
REGIONS
AVAILABILITY
ZONES
EDGE POPS
GLOBAL NETWORK
GOVCLOUD
• OBJECT, ARCHIVE
• FILESYSTEM & BLOCK STORE
• GENERAL PURPOSE (SSD)
• PROVISIONED IOPS (SSD)
• MAGNETIC

38. SOLID STATE
INNOVATION IN BLOCK STORAGE
LATENCY-SENSITIVE, TRANSACTIONAL WORKLOADS
CONSISTENT HIGH IOPS
"BURST" MODEL

39. CAN WE INNOVATE WITH MAGNETIC MEDIA?

40. TWO NEW EBS VOLUME TYPES BUILT FOR THROUGHPUT
THROUGHPUT
OPTIMIZED HDD
(ST1)
UP TO 500MB/S
$0.045 PER GB/MONTH
COLD HDD
(SC1)
UP TO 250MB/S
$0.025 PER GB/MONTH

41. THE INDUSTRY’S BEST PRICE/PERFORMANCE
BLOCK STORAGE FOR BIG DATA WORKLOADS
PROCESSING
LOGS
STREAMING
DATA PROCESSING
DATA ANALYTICS
WITH MAP/REDUCE
DATA
WAREHOUSING
LESS FREQUENTLY
ACCESSED

42. MOBILE ENGAGEMENT
PLATFORM
SOCIAL COMMERCE
SOLUTIONS
PLATFORM FOR
OPERATIONAL INTELLIGENCE
SOCIAL GAMING
CLOUD-DELIVERED,
NEXT-GENERATION SECURITY
SERVICES
OPEN SOURCE, SCALABLE
PLATFORM FOR APACHE
KAFKA

43. MOVE FAST WITHOUT
SACRIFICING CONTROL

44. ORMOVE
FAST
STAY
SECURE

45. BROADEST SET OF ACCREDITATIONS & CERTIFICATIONS
GLACIER VAULT LOCK
& SEC RULE 17A-4(F)
27018

46. BROADEST SERVICES TO SECURE APPLICATIONS
NETWORKING
VIRTUAL
PRIVATE
CLOUD
WEB
APPLICATION
FIREWALL

47. BROADEST SERVICES TO SECURE APPLICATIONS
NETWORKING
VIRTUAL
PRIVATE
CLOUD
WEB
APPLICATION
FIREWALL
IDENTITY
IAM ACTIVE
DIRECTORY
INTEGRATION
SAML
FEDERATION

48. BROADEST SERVICES TO SECURE APPLICATIONS
NETWORKING
VIRTUAL
PRIVATE
CLOUD
WEB
APPLICATION
FIREWALL
ENCRYPTION
KEY
MANAGE-
MENT
SERVICE
CLOUDHSM SERVER-
SIDE
ENCRYPTION
ENCRYPTION
SDK
IDENTITY
IAM ACTIVE
DIRECTORY
INTEGRATION
SAML
FEDERATION

49. BROADEST SERVICES TO SECURE APPLICATIONS
COMPLIANCE
CONFIGCLOUD
TRAIL
SERVICE
CATALOG
CONFIG
RULES
INSPECTOR
NETWORKING
VIRTUAL
PRIVATE
CLOUD
WEB
APPLICATION
FIREWALL
ENCRYPTION
KEY
MANAGE-
MENT
SERVICE
CLOUDHSM SERVER-
SIDE
ENCRYPTION
ENCRYPTION
SDK
IDENTITY
IAM ACTIVE
DIRECTORY
INTEGRATION
SAML
FEDERATION

50. BROADEST SERVICES TO SECURE APPLICATIONS
AMAZON INSPECTOR: NOW GENERALLY AVAILABLE
COMPLIANCE
CONFIGCLOUD
TRAIL
SERVICE
CATALOG
CONFIG
RULES
INSPECTOR
NETWORKING
VIRTUAL
PRIVATE
CLOUD
WEB
APPLICATION
FIREWALL
ENCRYPTION
CLOUDHSM SERVER-
SIDE
ENCRYPTION
ENCRYPTION
SDK
IDENTITY
IAM ACTIVE
DIRECTORY
INTEGRATION
SAML
FEDERATION
KEY
MANAGE-
MENT
SERVICE

51. WHAT’S BEING
ASSESSED?
NETWORK, VMS, OS
& APPLICATION
CONFIGURATIONS
DETECT & REMEDIATE SECURITY ISSUES EARLY & OFTEN
WITH AMAZON INSPECTOR

52. WHAT’S BEING
ASSESSED?
NETWORK, VMS, OS
& APPLICATION
CONFIGURATIONS
BUILT-IN
CONTENT LIBRARY
CHECK COMMON
SECURITY
STANDARDS &
VULNERABILITIES
DETECT & REMEDIATE SECURITY ISSUES EARLY & OFTEN
WITH AMAZON INSPECTOR

53. WHAT’S BEING
ASSESSED?
NETWORK, VMS, OS
& APPLICATION
CONFIGURATIONS
BUILT-IN
CONTENT LIBRARY
CHECK COMMON
SECURITY
STANDARDS &
VULNERABILITIES
DETAILED
LISTS
DETAILED
DASHBOARD
DETECT & REMEDIATE SECURITY ISSUES EARLY & OFTEN
WITH AMAZON INSPECTOR

54. WHAT’S BEING
ASSESSED?
NETWORK, VMS, OS
& APPLICATION
CONFIGURATIONS
BUILT-IN
CONTENT LIBRARY
CHECK COMMON
SECURITY
STANDARDS &
VULNERABILITIES
DETAILED
LISTS
DETAILED
DASHBOARD
FULL AUDIT
TRAILS
TRACK WHAT TESTS
WERE PERFORMED
WHEN AND THEIR
RESULTS
DETECT & REMEDIATE SECURITY ISSUES EARLY & OFTEN
WITH AMAZON INSPECTOR

55. EARLY CUSTOMER AND PARTNER SUCCESS WITH AMAZON INSPECTOR

56. ORMOVE
FAST
STAY
SECURE

57. ANDMOVE
FAST
STAY
SECURE

58. AUTOMATE EVERYTHING

59. © 2016, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Pallanikumaran Selvan, Chief Infrastructure Consultant
Data.gov.sg
Enabling Open Data
Rapid development with AWS

60. Government
Digital
Services
SINGAPORE’S OPEN DATA PLATFORM

61. MISSION
Help people understand and use public data

62. DASHBOARDS
DATA NARRATIVES
TIDY DATA
DEVELOPER APIs
Understanding
Public Data

63. Amazon
EC2 Instance
Starting Point

64. RDS
(Postgresql)
Splitting Up The Instance

65. CHALLENGE
How do you replicate this set-up?
Photo credit: Spencer Cooper / Flickr

66. Amazon
EC2
Amazon
RDS
DATA.GOV.SG
Amazon
Route 53
Amazon
EC2
Amazon
RDS
MASTER
Amazon
Route 53
Using VPCs and Route 53
Amazon
EC2
Amazon
RDS
DEV
Amazon
Route 53
Gitlab
CI
Data.gov.sg
Team
Slack
Notification

68. API Gateway Lambda DynamoDB
Core Services

69. ECS
Agency APILambda
Agency API
Scrappers

70. ➔ Historical data for all APIs
➔ Massive streams of data
➔ Managed NoSQL Database
Historical Data
DynamoDB

71. LESSON
Positive Constraints

72. AWS Lambda
➔ Stateless
➔ Loosely-Coupled
➔ Cohesive

73. Amazon
DynamoDB
Amazon
DynamoDB
ap-southeast-1
AWS
Lambda
ap-northeast-1
Lambda in Tokyo

74. Serverless Architecture
Amazon
DynamoDB
Agency
Server
AWS
Lambda
Amazon
API Gateway
Developers
POST
GET

75. Moving Public Facing APIs
Amazon
DynamoDB
Agency
Server
AWS
Lambda
Amazon
API Gateway
Developers
POST
GET

76. Self-managed API Servers
Amazon
DynamoDB
Agency
Server
AWS
Lambda
Amazon
API Gateway
Developers
POST
Amazon
EC2
Elastic Load
Balancer

77. With 100 lines of code...
RESPONSE
TIMES
(ms)
10 x
FASTER
THEN NOW
1400
1200
1000
800
600
400
200
0

78. Freedom
Disciplined
Development
Positive
Constraints

79. Amazon
EC2
Amazon
Glacier
Amazon
S3
Amazon
RDS
DATA.GOV.SG MASTER DEV
BACKUPS
Gitlab
CI
Data.gov.sg
Team
Amazon
DynamoDB
Amazon
S3
AWS
Lambda
Amazon
CloudWatch
Amazon API
Gateway
Amazon
SES
AWS
Lambda
ECS
AWS
Lambda
Developers
Slack
Amazon
Route 53
Amazon
Route 53
Amazon
Route 53
Our Architecture
Amazon
EC2
Amazon
RDS
Amazon
EC2
Amazon
RDS
Apigee

80. Amazon ECS Amazon EFS
Amazon EC2 NFS
Next Steps
FUTURE
NOW

81. Thank You

83. END TO END CONTINUOUS DELIVERY WITH ELASTIC BEANSTALK
SPIN UP
ENVIRONMENT
QA
ENVIRONMENT
DEPLOY
APP
BUILD
APP
TEST
APP
QA
APP

84. APP
JAVA, .NET, PHP,
NODE.JS, PYTHON,
RUBY, GO
CONTAINER
DOCKER,
MULTI-
CONTAINER
COMPONENTS OF APPS & ELASTIC BEANSTALK

85. APP
JAVA, .NET, PHP,
NODE.JS, PYTHON,
RUBY, GO
CONTAINER
DOCKER,
MULTI-
CONTAINER
AMI,
APP SERVER,
WEB SERVER
PLATFORM
COMPONENTS OF APPS & ELASTIC BEANSTALK

86. APP
JAVA, .NET, PHP,
NODE.JS, PYTHON,
RUBY, GO
INSTANCES AUTO-
SCALING
CONTAINER
DOCKER,
MULTI-
CONTAINER
LOAD
BALANCING
AMI,
APP SERVER,
WEB SERVER
HEALTH
CHECKS
PLATFORM
COMPONENTS OF APPS & ELASTIC BEANSTALK

87. PLATFORM UPDATES: A SHARED RESPONSIBILITY
JAVA, .NET, PHP,
NODE.JS, PYTHON,
RUBY, GO
INSTANCES AUTO-
SCALING
CONTAINER
DOCKER,
MULTI-
CONTAINER
LOAD
BALANCING
AMI,
APP SERVER,
WEB SERVER
HEALTH
CHECKS
PLATFORMAPP

88. CAN WE REMOVE MORE OF THE
MAINTENANCE BURDEN FOR WEB APPS?

89. PLATFORM UPDATES FOR ELASTIC BEANSTALK
SAFELY AND AUTOMATICALLY KEEP YOUR WEB APP PLATFORM UP TO DATE

90. KEEP YOUR APPLICATION PLATFORM UP-TO-DATE, AUTOMATICALLY
STAY IN CONTROL OF PLATFORM UPDATES
SAFELY PERFORM UPDATES WHILE MAINTAINING AVAILABILITY
MANAGED PLATFORM UPDATES FOR ELASTIC BEANSTALK

91. v2
REQUEST
AUTO-SCALING GROUP
LOAD
BALANCER

92. v2
REQUEST
AUTO-SCALING GROUP
LOAD
BALANCER
AUTO-SCALING GROUP
“BLUE”
“GREEN”

93. v2
REQUEST
AUTO-SCALING GROUP
LOAD
BALANCER
AUTO-SCALING GROUP
“BLUE”
“GREEN”

94. v2
REQUEST
AUTO-SCALING GROUP
LOAD
BALANCER
AUTO-SCALING GROUP
“BLUE”
“GREEN”

95. REQUEST
v2
AUTO-SCALING GROUP
LOAD
BALANCER
AUTO-SCALING GROUP
“BLUE”
“GREEN”

96. REQUEST LOAD
BALANCER AUTO-SCALING GROUP

97. SIMPLIFY, RELENTLESSLY

98. SIMPLICITY SCALABILITY LOW COST RELIABILITY LOW LATENCY
AMAZON S3: SIMPLE BY NAME, SIMPLE BY NATURE

99. AMAZON S3
BUILDING BLOCKS FOR
INTERNET-SCALE APPS

100. CAN WE APPLY THE SAME APPROACH TO
ALL APPLICATION COMPONENT

101. AMAZON S3
BUILDING BLOCKS FOR
INTERNET-SCALE APPS
STORAGE
AWS LAMBDA
FUNCTIONS

102. SIMPLICITY SCALABILITY LOW COST RELIABILITY LOW LATENCY
AWS LAMBDA: A SERVERLESS COMPUTE PLATFORM

103. AWS LAMBDA: INTERNET-SCALE COMPUTE PLATFORM
DEPLOY YOUR CODE IN SECONDS
SUB-SECOND METERING
NO SERVERS TO PROCURE, PROVISION OR MANAGE

104. MOBILE
CHAT APP
AD DATA ANALYTICS
AND ROUTING
MOBILE APP
ANALYTICS
IMAGE CONTENT
FILTERING
REAL-TIME VIDEO
AD BIDDING
NEWS CONTENT
PROCESSING
GENE SEQUENCE
SEARCH
CLOUD
TELEPHONY
DATA
PROCESSING
WEB
APPLICATIONS
WEB APPLICATIONSTHREAT INTELLIGENCE
AND ANALYTICS
NEWS CONTENT
PROCESSING
GAME METRICS ANALYTICS
SERVERLESS WEB APPLICATIONS

105. HTML IN S3
JAVASCRIPT
COGNITO
API GATEWAY DYNAMODB
SEARCH
RECOMMEND
CREATE/UPDATE
SERVERLESS WEB APPLICATIONS

106. NODE.JS
WEB APP
SERVER-SENT EVENT
STREAMING RESPONSE
QUER
Y
S
3
LAMBDA
CASCADE
FUNCTION N
LAMBDA
CASCADE
FUNCTION 0 LAMBDA
COUNTING
FUNCTION 0
USER
LAMBDA
COUNTING
FUNCTION 0
LAMBDA
COUNTING
FUNCTION 0
LAMBDA
COUNTING
FUNCTION 0
WEB UI CASCADE PROCESS
SERVERLESS WEB APPLICATIONS

107. INTERNET OF THINGS

108. CLOUDWATCH
EVENTS
LIFECYCLE
HOOKS
CONFIG
RULES
SCHEDULED
JOBS
ECOSYSTEM
CONNECTIVE TISSUE OF AWS ENVIRONMENTS

109. AMAZON S3
BUILDING BLOCKS FOR
INTERNET-SCALE APPS
STORAGE
AWS LAMBDA
FUNCTIONS
AMAZON DYNAMODB
DATA STORE

110. SIMPLICITY SCALABILITY LOW COST RELIABILITY LOW LATENCY
AMAZON DYNAMODB: AN INTERNET SCALE DATA STORE

111. OVER 200 MILLION USERSOVER 4 BILLION ITEMS STORED
MILLIONS OF ADS
PER MONTH
130+ MILLION NEW
USERS IN 1 YEAR
150+ MILLION
MESSAGES PER
MONTH
STATCAST USES BURST SCALABILITY
FOR MANY GAMES ON A SINGLE DAY
OVER 5 BILLION ITEMS OVER 200 MILLION MESSAGES
PROCESSED DAILY
COGNITIVE TRAINING 5+ MILLION
REGISTERED USERS
WEARABLE AND
IOT SOLUTIONS
170,000 CONCURRENT
PLAYERS

112. APIS EMAIL MESSAGING
NOTIFICATION MONITORING ENCRYPTION
SERVICES NOT SERVERS: A BROAD SERVERLESS PLATFORM
AMAZON S3
STORAGE
AWS LAMBDA
FUNCTIONS
AMAZON DYNAMODB
DATA STORE

113. 2: OBSERVE & ACT

114. DRIVEN BY DATA

115. CORE COMPONENTS FOR BIG DATA WORKLOADS
DATA STORE
OF RECORD
S3
HIGH PERFORMANCE
DATABASES
RDS
DYNAMODB
ANALYTICS
CLUSTERS
HADOOP ON EMR
SPARK ON EMR
PREDICTIVE
ANALYTICS
MACHINE LEARNINGELASTICSEARCH
SERVICE
ELASTICSEARCH DATA
WAREHOUSE
REDSHIFT
STREAMING
DATA
KINESIS STREAMS

116. MOVING DATA TO THE CLOUD
PERSISTENT
CONNECTIVITY

117. SMALL &
FREQUENT
HUGE,
LESS FREQUENT
MEDIUM &
OFTEN
PERSISTENT
CONNECTIVITY
MOVING DATA TO THE CLOUD

118. SMALL &
FREQUENT
HUGE,
LESS FREQUENT
MEDIUM &
OFTEN
PERSISTENT
CONNECTIVITY
MOVING DATA TO THE CLOUD

119. KINESIS STREAMS
BUILD CUSTOM APPLICATIONS TO
COLLECT & ANALYZE STREAMING DATA
REAL TIME STREAMING DATA WITH AMAZON KINESIS

120. KINESIS STREAMS
BUILD CUSTOM APPLICATIONS TO
COLLECT & ANALYZE STREAMING DATA
KINESIS FIREHOSE
EASILY LOAD STREAMING
DATA INTO AWS
REAL TIME STREAMING DATA WITH AMAZON KINESIS

121. KINESIS STREAMS
BUILD CUSTOM APPLICATIONS TO
COLLECT & ANALYZE STREAMING DATA
KINESIS FIREHOSE
EASILY LOAD STREAMING
DATA INTO AWS
ELASTICSEARCH INTEGRATION
REAL TIME STREAMING DATA WITH AMAZON KINESIS

122. KINESIS ANALYTICS
RUN STANDARD SQL QUERIES
OVER STREAMING DATA
KINESIS STREAMS
BUILD CUSTOM APPLICATIONS TO
COLLECT & ANALYZE STREAMING DATA
REAL TIME STREAMING DATA WITH AMAZON KINESIS
KINESIS FIREHOSE
EASILY LOAD STREAMING
DATA INTO AWS
ELASTICSEARCH INTEGRATION

123. © 2016, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Goragot Wongpaisarnsin
Assistant General Manager
TSQUARE : Connected Mobility Solution in Thailand
Toyota Tsusho Electronics (Thailand), Co., Ltd.

124. COMPANY INTRODUCTION
Connected
Content
Biz
Embedded
SW Biz
Device
Biz

125. TSQUARE : Connected Mobility Solution
Connected
Content
Embedded
SW
Device
Traffic Info GPS Data Heat Map Anomaly Flood

126. CHALLENGE ON AWS
mobile client
(over 1M downloaded)
Elastic Load
Balancing
EC2
instances
Auto Scaling group
Amazon
S3
MySQL DB
instance
security group
Singapore Region
GPS Vehicle
Probes (over 60,000 Probes)

127. CHALLENGING ON AWS
• Reduce Time to Market
• Increase Business Chances
• Stabilize Quality of Service
• DevOpt Team Building
Business
Ideation
Production Development
Release
& Deployment
Prototyping
Incubation
Business
DeveloperOperation

128. BENEFITS ON AWS
• Max. 35% Cost Optimization
• Simple to reconfigure system
• x 2,500 Performance Up
• Powerful for prototyping idea
6000
3900
2014 2015
Cost
(USD/month)
695
2,000,000
Previous System New System
IoT Gateway Performance
(TPS)

129. NEXT STAGES WITH AWS
Accessibility
Performance
Sustainability
Convenience
Usability
AWS
Lambda
Amazon
Glacier
Amazon
Redshift
Memcached
AWS
CloudFormation
Amazon
Kinesis
Amazon Machine
Learning
AWS IoT
Amazon
Cognito
Amazon API
Gateway

130. Thank you

132. SMALL &
FREQUENT
HUGE,
LESS FREQUENT
MEDIUM &
OFTEN
PERSISTENT
CONNECTIVITY
MOVING DATA TO THE CLOUD

133. SNOWBALL
PETABYTE SCALE
DATA TRANSPORT SERVICE

134. LARGE CUSTOMER
DATASET
END-TO-END
CUSTODY
CUSTOMER DATASET
LOADED

135. 10 SNOWBALLS CONNECTED TO YOUR DMZ = THE THROUGHPUT OF A 100G NETWORK CONNECTION

136. SNOWBALL MOMENTUM BUILDS
30 TIMES 500+ BILLION
AROUND THE WORLD OBJECTS MOVED

137. SMALL &
FREQUENT
HUGE,
LESS FREQUENT
MEDIUM &
OFTEN
PERSISTENT
CONNECTIVITY
MOVING DATA TO THE CLOUD

138. SMALL &
FREQUENT
HUGE,
LESS FREQUENT
MEDIUM &
OFTEN
PERSISTENT
CONNECTIVITY
MOVING DATA TO THE CLOUD

139. LONG DISTANCE
FROM AWS REGION
LARGE
SIZE OBJECTS
LARGE NUMBER
OF OBJECTS
MOVING DATA TO THE CLOUD: LIMITED BY THE SPEED OF LIGHT

140. CAN WE USE THE AWS GLOBAL NETWORK TO
SPEED UP DATA IN BOTH DIRECTIONS?

141. ACCELERATE TRANSFERS TO AMAZON S3 USING THE AWS EDGE NETWORK
AMAZON S3 TRANSFER ACCELERATION

142. 300% FASTER FOR MOST USE CASES
EVEN FASTER IN OTHERS
NO COST UNLESS IT’S FASTER
AMAZON S3 TRANSFER ACCELERATION

144. VIDEO
COLLABORATION
VIDEO
ANALYSIS
CINEMATIC
VIRTUAL REALITY
AMAZON S3 TRANSFER ACCELERATION RESULTS

145. SMALL &
FREQUENT
HUGE,
LESS FREQUENT
MEDIUM &
OFTEN
PERSISTENT
CONNECTIVITY
MOVING DATA TO THE CLOUD

146. CONNECT WITH CUSTOMERS
WHEREVER THEY ARE

147. THE BEST MOBILE APPS RUN ON AWS

148. MOBILE DEVICE MOBILE BACKEND
THE DUALITY OF DEVICES

149. S3DYNAMODB
MOBILE ANALYT ICS
MOBILE DEVICE MOBILE BACKEND
RDS
DATA AND
CONTENT
ANALYTICS
THE DUALITY OF DEVICES

150. S3DYNAMODB
MOBILE ANALYT ICS
SNS
NOTIFICATIONS
MOBILE DEVICE MOBILE BACKEND
RDS
DATA AND
CONTENT
ANALYTICS
THE DUALITY OF DEVICES

151. S3DYNAMODB
MOBILE ANALYT ICS
SNS
AMAZON COGNIT O
API GAT EW AY
LAMBDA
LAMBDA
LAMBDA NOTIFICATIONS
MOBILE DEVICE MOBILE BACKEND
RDS
DATA AND
CONTENT
ANALYTICS
THE DUALITY OF DEVICES

152. S T O R E & S Y N C
D A T A
S A F E G U A R D
A W S C R E D E N T I A L S
G U E S T
A C C E S S
S O C I A L I D E N T I T Y
& L O G I N
AMAZON COGNITO: A HIDDEN GEM

153. Y O U R I D E N T I T Y
P O O L
S T O R E & S Y N C
D A T A
S A F E G U A R D
A W S C R E D E N T I A L S
G U E S T
A C C E S S
S O C I A L I D E N T I T Y &
L O G I N
AMAZON COGNITO: A HIDDEN GEM

154. EASY USER MANAGEMENT
LAMBDA DRIVEN WORKFLOWS
MULTI-FACTOR AUTHENTICATION
EMAIL AND PHONE NUMBER VERIFICATION
FULLY MANAGED IDENTITY POOLS WITH AMAZON COGNITO

155. CONNECT EVERY THING

156. SENSORS ACTUATORS

157. Extract value from
device data
Augment devices’
constrained onboard
resources
Augment devices’
constrained
environments
compute
storage
Big Data
Shadow
State
Apps
offline
WHY CONNECT DEVICES TO THE CLOUD?

158. Run code in the cloud,
and update it without
deploying firmware
updates
Run code in the cloud, and
take action in physical space
through one or more devices
Secure device data, even
when the device operates
in unsecured physical
space.
bidirectional
policy
WHY CONNECT DEVICES TO THE CLOUD?

159. Many SDKs &
Tools
Alternate Protocols Scalability Security &
Management
Integration with Cloud and
Mobile Applications
CONNECTING DEVICES TO CLOUD APPLICATIONS REQUIRES
UNDIFFERENTIATED HEAVY LIFTING.

160. AWS IOT
Securely connect one or one-billion devices to AWS, so they can
interact with applications and other devices

161. AWS IOT
DEVICE SDK
Set of client libraries to
connect, authenticate and
exchange messages
DEVICE GATEWAY
Communicate with devices via
MQTT and HTTP
AUTHENTICATION
AUTHORIZATION
Secure with mutual
authentication and encryption
RULES ENGINE
Transform messages
based on rules and
route to AWS Services
AWS Services
- - - - -
3P Services
DEVICE SHADOW
Persistent thing state
during intermittent
connections
APPLICATIONS
AWS IoT API
DEVICE REGISTRY
Identity and Management of
your things

162. 3: EXPERIMENT, MEASURE, LEARN

163. Statcast Personal Finances
Healthcare
Digital
Web E-commerce
App Platform
Digital Content
Media Web SitesWeb CRM
Digital Media
Digital Services
Education Analytics
FROM EXPERIMENTS TO DIGITAL TRANSFORMATION

164. © 2016, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Standard Chartered
Anju Patwardhan
Global Chief Innovation Officer

166. THE JOURNEY TO AWS IS A WELL TRODDEN PATH
DEVELOPMENT
& TEST
ALL TOGETHER NEW
APPLICATIONS
DIGITAL
ANALYTICS
MOBILE
DC MIGRATION
MISSION
CRITICAL APPS
ALL IN
1 2 3 4

167. THE DESTINATION FOR MANY ENTERPRISES: ALL IN

168. HYBRID AS A STEPPING STONE
Integrated networking
Hybrid app deployments
Integrated networking
Hybrid app deployment
Integrated DevOps Management
Integrated DevOps Management
Realtime data integration
integrated resource management
Integrated networking
Integrated DevOps Management
Integrated networking
Data integration
Hybrid app deployment Integrated networkingIntegrated networking
Integrated security
data integration
Integrated Networking
Automated and integrated back-ups

169. ON-
PREMISES
AWS
BROAD SERVICES FOR HYBRID APPLICATIONS
Single-Tenant
Compute
Bring Your Own
Image/License
Simultaneous, Self-Service
Provisioning of Many VMs
Integration with Existing
Management Tools
Massive Scale
Import / Export
Isolated Network
Across Regions
Fully Isolated
Network Posture
DNS-Based Global
Load Balancing
Network Forensic
Tools
Web Application
Firewall
Isolated Network
within Region
Private Connections from
Your DC to AWS
Network
Performance Tiers
Global Content
Delivery Network
Security Info & Event
Management (SIEM) Integration
Provider-Enabled
Encryption Services
Centralized Key
Management
Automated Security
Assessment
Rich, Role-Based
Access Controls
Hardware Security
Module (HSM) Support
Active Directory (AD)
Integration / AD-aaS
Track Resource
Inventory and Changes
Bulk Object Delete and
Data Lifecycle Mgmt Policies
Customer Ownership
Of Data
Many Scalable
Database Engines
Data
Archival
Simple Import of
Massive Data Amounts
Customer Control
Over Data Locale
Elastic File
System
Database Migration
and Conversion Tools
Gateway – Cached
Volumes
Create and Standardize
on Best Practices
Automate Operations
Management
Release Software
Using Continuous Delivery
Monitor Resources
And Applications
Centralize and Simplify
Software Deployments
Build, Publish
and Manage APIs
Managed Source
Control
Integration with Existing
Management Tools
Data
Warehouse
Integrated
Compute
Integrated
Networking
Integrated
Security & Access
Data Integration &
Lifecycle Mgmt
Resource and
Deployment Mgmt

170. A STRATEGIC,
PHASED MIGRATION
2014 2015 2016
E.G. INNOVATION LABS, MOBILE APP PILOTS, HACKATHONS
E.G. ONLINE BANKING, STREAM DATA PROCESSING
E.G. MOBILE BANKING APP
EXPERIMENTATION
DEVELOP & TEST
PRODUCTION

171. TRAINING &
CERTIFICATION
FOUR KEY COMPONENTS OF MIGRATION

172. TRAINING &
CERTIFICATION
DATA
MIGRATION
FOUR KEY COMPONENTS OF MIGRATION

173. TRAINING &
CERTIFICATION
DATA
MIGRATION
DATABASE
MIGRATION
FOUR KEY COMPONENTS OF MIGRATION

174. AWS DATABASE MIGRATION SERVICE
ON-PREMISES
DATABASES

175. MIGRATE BETWEEN DATABASE ENGINES
ENGINE A
SCHEMA CONVERSION TOOL
SCHEMA & DATA
TRANSFORMATION
DATABASE MIGRATION SERVICE
CONVERT DATABASE
FUNCTIONS
Tables
Partitons
Sequences
Views
Stored Procedures
Triggers
Functions
ENGINE B

176. AMAZON AURORA

177. TRAINING &
CERTIFICATION
DATA
MIGRATION
DATABASE
MIGRATION
APPLICATION
MIGRATION
FOUR KEY COMPONENTS OF MIGRATION

178. AWS APPLICATION DISCOVERY SERVICE
AUTOMATE THE DISCOVERY OF DATA CENTER APPLICATIONS
& THEIR DEPENDENCIES

179. SIMPLIFY APPLICATION DISCOVERY WITH AWS ADS
AUTOMATICALLY DISCOVERY APP INVENTORY
IDENTFIES APP & INFRASTRUCTURE DEPENDENCIES
MEASURES PERFORMANCE BASELINE
DATA ENCRYPTED WITH AMAZON KMS

180. GET HELP WITH MIGRATION FROM ISV AND SI PARTNERS

181. TRAINING &
CERTIFICATION
DATA
MIGRATION
DATABASE
MIGRATION
APPLICATION
MIGRATION
FOUR KEY COMPONENTS OF MIGRATION

182. REINVENT REPEAT

183. THANK YOU
@WERNER