Opening Keynote by Adrian Cockcroft, VP Cloud Architecture Strategy, Amazon Web Services

1. Adrian Cockcroft
Vice President Cloud Architecture Strategy

2. Capacity For Our Customers To Grow
An Update On The AWS Business…

3. ~$14B Revenue Run Rate
( t r a ilin g 1 2 m o n t h s , a s o f Q 4 2 0 1 6 )
47% YoY Growth
( Q4 20 15 vs Q4 2016)

4. Millions Of Active Customers Per Month

5. The Fastest Growing Multi-billion Dollar Enterprise
IT Company In The World
AWS
Servicenow
Workday
Salesforce
Adobe
VMware
SAP
Oracle
Microsoft
IBM
Cisco
HPE
-20% -10% 0% 10% 20% 30% 40% 50%

6. Largest Number Of Startup Customers

7. Largest Number Of Enterprise Customers

8. Largest Number Of Public Sector Customers

9. Broadest Ecosystem of System Integrators:
Premier Consulting Partners

10. Broadest Ecosystem of ISVs

11. *Gartner, Magic Quadrant for Cloud Infrastructure as a Service, Worldwide, Leong, Lydia, Petri, Gregor, Gill, Bob, Dorosh, Mike, August 32016
This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available
upon request from AWS : http://www.gartner.com/doc/reprints?id=1-2G2O5FC&ct=150519&st=sb
Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings
or other designation. Gartner research publications consist of the opinions of Gartner's research
organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of
merchantability or fitness for a particular purpose.
AWS is positioned highest in execution and
furthest in vision within the Leaders Quadrant
AWS Positioned as a Leader
in the Gartner Magic Quadrant
for Cloud Infrastructure as
a Service, Worldwide

12. Where Are We In The Cloud’s Evolution?
New Normal
In 2014

13. Where Are We In The Cloud’s Evolution?
New Normal
In 2014
Control Over
Your Own Destiny
In 2015

14. S U P E R
P O W E R S
With AWS, It Can
Feel Like You Have Been Given

15. S U P E R S O N I C
S P E E D

16. M os t Robus t , Ful l y- Fe a t ur e d Te c hnol ogy I nf r a s t r uc t ur e Pl a t f or m

17. Pace Of Innovation:
New Capabilities Daily

18. Compute
Burstable (T2)
General Purpose (M4)
Dense Storage (D2)
Memory Intensive (R4)
Large Memory (X1)
High I/O (I3)
Compute Intensive (C5)
Graphics Intensive (G2)
General Purpose GPU (P2)
FPGAs (F1)
Simple VPS (Lightsail)
RDS For MySQL
RDS For PostgreSQL
RDS For MariaDB
RDS For Oracle
RDS For SQL Server
RDS For Aurora
Heterogeneous migrations
with no downtime
Broad Services With Deep Functionality
Databases Network AvailabilitySecurity & Access
Fully-managed DDoS Protection
WAF with instant threat mitigation
Dedicated HSMs
Graphic Policy Simulator
Identify, Location, and Time Policies
Individual API Call Policies
Key Usage Auditing
Availability Zone architecture for
high operational resiliency
Synchronous data replication
between AZs within a region
Visibility into real-time network
performance
Broad IPv6 support
Multiple NICs per VM

19. Compute
Burstable (T2)
General Purpose (M4)
Dense Storage (D2)
Memory Intensive (R4)
Large Memory (X1)
High I/O (I3)
Compute Intensive (C5)
Graphics Intensive (G2)
General Purpose GPU (P2)
FPGAs (F1)
Simple VPS (Lightsail)
RDS For MySQL
RDS For PostgreSQL
RDS For MariaDB
RDS For Oracle
RDS For SQL Server
RDS For Aurora
Heterogeneous migrations
with no downtime
Broad Services With Deep Functionality
Databases Network AvailabilitySecurity & Access
Fully-managed DDoS Protection
WAF with instant threat mitigation
Dedicated HSMs
Graphic Policy Simulator
Identify, Location, and Time Policies
Individual API Call Policies
Key Usage Auditing
Availability Zone architecture for
high operational resiliency
Synchronous data replication
between AZs within a region
Visibility into real-time network
performance
Broad IPv6 support
Multiple NICs per VM

20. Elastic GPUs On EC2
P2M4 D2 X1 G2T2 R4 I3 C5
General Purpose
GPU
General Purpose
Dense storage Large memory
Graphics intensiveMemory intensive High I/O
Compute intensiveBurstable
Lightsail
Simple VPS
F1
FPGAs
A Broad Spectrum Of Compute Capabilities In The AWS Cloud

21. Secure financial
services
On-demand,
customized
entertainment
3.2 million
online razor
subscribers
Transforming
oil and gas
Migrated 300
servers to AWS
in 6 months
Unprecedented
scale and speed
Cut development
cycles by >50%
Finding patterns in
vast amounts of
data
Reduce analysis
from four months
to four hours
Financial trading with
strong built-in
security and
compliance
Achieving Supersonic Speed
Migrated 300
servers to AWS
in 6 months
Directly upload
high bit rate video

22. X - R A Y V I S I O N

23. The Ability to Understand Your Customers And
Business Better Through Analytics
Data
Warehouse
Amazon
Redshift
Business
Intelligence
Amazon
QuickSight
Ad-hoc queries
against S3
Amazon
Athena

24. The Ability to Understand Your Customers And
Business Better Through Analytics
Hadoop, Spark,
HBase, Hive, Presto,
Mahout, Pig, Zeppelin
Amazon
EMR
Elasticsearch
Amazon
Elasticsearch
Real-time
streaming data
Amazon
Kinesis
Data
Warehouse
Amazon
Redshift
Business
Intelligence
Amazon
QuickSight
Ad-hoc queries
against S3
Amazon
Athena

25. The Ability to Understand Your Customers And
Business Better Through Analytics
Machine
Learning
Amazon
Machine Learning
Hadoop, Spark,
HBase, Hive, Presto,
Mahout, Pig, Zeppelin
Amazon
EMR
Elasticsearch
Amazon
Elasticsearch
Real-time
streaming data
Amazon
Kinesis
Data
Warehouse
Amazon
Redshift
Business
Intelligence
Amazon
QuickSight
Ad-hoc queries
against S3
Amazon
Athena

26. Amazon Athena:
Interactive Queries On Data In S3
No need to move
data to Athena
Query S3 directly
& right away
No infrastructure or
clusters to setup &
manage
Fast results
within seconds
Pay for just the
queries you run

27. Redshift, EMR & Athena:
The Right Tool For The Job
Data
Warehouse
Amazon Redshift
Hadoop, Spark
& Presto
Amazon EMR
Ad-hoc queries
against S3
Amazon Athena

28. Insights to the
field
Scale for
customers
Process data for global
websites
98% faster
queries
Sports team
analysis
Curing and preventing
diseases
Analysis within
milliseconds
Billions of rows of
behavioral data
Personalization Mobile
analytics
Insights to
government
agencies
Healthcare
analytics
Entertainment
media
Process ~45 billion in-
game events daily
Predictive
analytics
Achieving X-Ray Vision

29. P R E C O G N I T I O N

30. Machine Learning at Amazon.com
Retail
Demand Forecasting
Vendor Lead Time
Prediction
Pricing
Packaging
Substitute Prediction
Customers
Recommendation
Product Search
Product Ads
Shopping Advice
Customer Problem
Detection
Catalogue
Browse-Node
Classification
Meta-data Validation
Review Analysis
Product Matching
Text
In-Book Search
Named-entity Extraction
Summarization/Xray
Plagiarism Detection
Seller
Fraud Detection
Predicitve Help
Seller Search &
Crawling
Images
Visual Search
Product Image
Enhancement
Brand Tracking

31. Real Machine Learning Happening On AWS
Computer Vision APIs
Detect Online
Payment Fraud
Computer Vision For
Crowd Sourced Maps
Computer Vision For
Autonomous Driving
ML At Large Scale
Luxury Real Estate
Purchase Predictions
Recommendation Engine Forecast Customer Traffic
Predictive Analytics
On Sports Plays
Image Recognition Search Zestimate (using Apache Spark)
Insurance

32. Artificial Intelligence on AWS
P2Investment in
MXNet
Deep Learning AMI
and Template
Amazon Machine
Learning

33. Artificial Intelligence on AWS
P2Investment in
MXNet
Deep Learning AMI
and Template
Amazon Machine
Learning
Amazon Rekognition Amazon Polly Amazon Lex

34. Amazon AI
Bringing Powerful Artificial Intelligence To All Developers
Amazon
Rekognition
Amazon
Polly
Amazon
Lex

35. Amazon Rekognition:
Image Recognition And Analysis Powered By Deep Learning
Amazon Rekognition
Car
Outside
Daytime
Driving
Objects/Scenes
Female
Smiling
Sunglasses
Faces
Images In, Categories and Facial Analysis Out

36. Recognize, Search & Understand Images
Easy to use Batch
analysis
Real time
analysis
Low costContinually
improving

37. Amazon Polly: Text To Speech
Powered By Deep Learning
Amazon Polly
“The temperature
in WA is 75°F”
“The temperature
in Washington is 75 degrees
Fahrenheit”
Text In, Life-like Speech Out

38. Text To Speech Powered By Deep Learning
Returns an MP3
audio stream
Unlimited
replay
Fully managedLightning fast
responses

39. Amazon Lex:
Speech Recognition & Natural Language Understanding
Amazon Lex
Automatic Speech Recognition
Natural Language Understanding
“What’s the weather
forecast?”
Weather
Forecast

40. Amazon Lex:
Speech Recognition & Natural Language Understanding
Amazon Lex
Automatic Speech Recognition
Natural Language Understanding
“What’s the weather
forecast?”
Weather
Forecast
“It will be
sunny
and 75F”

41. Amazon Lex:
Speech Recognition & Natural Language Understanding
Amazon Lex
Automatic Speech Recognition
Natural Language Understanding
“What’s the weather
forecast?”
Weather
Forecast
“It will be
sunny
and 75F”
“It will be sunny
and 75 degrees
Fahrenheit”
Amazon Polly

42. Build Natural, Conversational Interactions In Voice & Text
Integrated
development in the
AWS console
Fully
managed
Trigger
Lambda
functions
Continually
improving
ASR & NLU
models
Enterprise
connectors
Multi-step
conversations

43. Available Today
Amazon Connect
Easy to use, cloud-based contact center solution
that makes it easy for any business to deliver
better customer service at lower cost.

44. Design
Experience
Creating Contact Flows Is Self-Service
Self-service creation of
conversational interactions.
Amazon Lex (natural
language understanding
and automatic speech
recognition).
Drag and drop makes
call flow editing easy.
Business leaders
can make changes
without coding skills.
Simplicity doesn’t mean
you sacrifice power.
With AWS Lambda, data
and business intelligence
integrations are fast
and flexible.

45. Customer
Connected
Minutes
Pay as
you go
No hassle
telephony
No required
commitments
No hardware or
space required
Automatic
Scaling
Pay Only For The Value
Delivered To Your Customers
Amazon Connect

46. Predictive
financial models
Financial
simulations
Predictive models
for construction
Index people in
video footage
Deep learning in
customer service
Detecting and preventing
fraud with ML
Improved customer
experience
Real-time insights
from video
Bodycams Smart home
improvements
Predictions for
restaurant owners
Voice
recognition
Home price
predictions
Achieving Precognition
Fundraising
chat bot
Computer
Vision APIs
Computer Vision For
Crowd Sourced Maps
Computer Vision For
Autonomous Driving
ML At Large
Scale
Luxury Real Estate
Purchase Predictions
Recommendation
Engine
Predictive Analytics
On Sports Plays
Image Recognition
Search

47. F L I G H T

48. Old World Databases
Very Expensive Proprietary Lock-In Punitive
Licensing

49. Old World Databases
AUDIT
Very Expensive Proprietary Lock-In Punitive
Licensing
You’ve Got
Mail!

50. It’s Why Customers Are Moving
To Open Database Engines

51. Migrating Databases To AWS
22,000+ databases migrated
Migrate between
on-prem and AWS
Migrate between
databases
Automated schema
conversion
Data replication for
zero downtime migrations

52. Amazon Aurora:
Speed And Availability Of Commercial Databases,
With Cost-Effectiveness Of Open Source
Up To 5x
Performance
Of High-end MySQL
Highly
Available and
Durable
MySQL
Compatible
1/10th The Cost Of
Commercial Grade
Databases
Fastest Growing
AWS Service,
Ever

53. Amazon Aurora PostgreSQL-Compatible Edition
Fully PostgreSQL
Compatible
Several times better
performance than
typical PostgreSQL
database
Scalable,
Durable and
Secure
Migrate From
RDS For
PostgreSQL
1/10th The Cost Of
Commercial Grade
Databases

54. Lodging Inventory
System
Scale for large
events
Billions of financial
transactions
Achieving Flight With Amazon Aurora
Petabytes of streams
and playback artifacts
>2 billion
rows
<1 millisecond
response time
Millions of
transactions per day
Reduced
operational burden

55. Freedom From Database Constraints
With Migration To Amazon Aurora

57. Generate suggestions
and trend data in
real time
Analyze historic
trends and future
promotions
Store hotel pricing
information
Using Data and Analytics at Expedia

58. 300 million rows of
data per day
70,000 rows per
second at peak
High performance
and cost effective
17 millisecond
average
response time
Results With Amazon Aurora

59. I N V I S I B I L I T Y

60. A Spectrum of Compute
Virtual Machines Containers Serverless

61. Packaging Updates Execution Run time Unit of Cost
VMs AMI Patching
Multi-threaded,
multi-task
Hours to months Per VM per hour
Containers Container File Versioning
Multi-threaded,
single-task
Minutes to days Per VM per hour
Lambda Code Versioning
Single-threaded,
single-task
Microseconds to
seconds
Per
memory/second
Per request
A Spectrum of Compute

62. Virtual Machines
A Spectrum of Compute

63. EBSAuto ScalingVPC RDSELB
Strong VM Ecosystem

64. A Spectrum of Compute
Containers

65. High
availability
Infrastructure
management
Security Task
scheduling
Pipeline
integration
Container
management
Service
discovery
Resource
access
The Challenges of Container Based Operations

66. Managed platform for:
Cluster Management Container Orchestration Deep AWS Integration
Amazon ECS

67. ELBContainer
Auto Scaling
VPCIAMInstance
Auto Scaling
CloudTrailCloudWatch
Metrics
CloudWatch Logs CloudWatch
Events
X-Ray
Deep Integration with AWS Platform

68. A Spectrum of Compute
AWS Lambda
Serverless

69. State of AWS Lambda
Languages Integrations
Node.js (JavaScript)
Java (Java 8 compatible)
Python
C# (.NET Core)
Amazon API Gateway
AWS CodeCommit
AWS CloudFormation
Amazon Simple Notification Service
Amazon Simple Email Service
Amazon CloudWatch
Amazon Kinesis Streams
Amazon DynamoDB
Amazon RDS
Amazon Aurora
Amazon Cognito
Amazon S3
AWS Config
Amazon Lex
Recent New Features
Support for Node.js 6.10 and C#
AWS Serverless Application Model
Environment Variables
Binary Support
Catch-all endpoints with Lambda
Document APIs
API Gateway updates:

70. AWS X-Ray
Amazon API
Gateway
Amazon
DynamoDB
AWS Lambda Amazon S3 Amazon SQS
Amazon SNS
Amazon
Kinesis
There Are No Cattle, There Is Only The Herd
Amazon Step
Functions

71. Thomson Reuters
processes 4,000
requests per
second
FINRA processes
half a trillion
validations of
stock trades daily
Hearst reduced the time
to ingest and process
data for its analytics
pipeline by 97%
Vevo can handle
spikes of 80x
normal traffic
Expedia triggers 1.2
billion Lambda
requests each month
Massive Scale Achieved

72. Connective Tissue Of AWS Environments
CloudWatch
Events
ELB LifeCycle
Hooks
Config Rules CodeDeploy
Events
Console
Sign-ins
Scheduled Jobs Cognito Your
User Pools
Trusted
Advisor
CloudFormationAuto Scaling
Events
Ecosystem
Lambda As Extensibility Mechanism

73. Connective Tissue Of AWS Environments
Amazon Lex AWS Greengrass AWS Snowball Edge
Alexa Skills Kit
Lambda As Extensibility Mechanism
AWS Lambda@Edge

74. “I want to sequence
functions”
“I want to run
functions in parallel”
“I want to select
functions based on data”
“I want to retry
functions”
“I want to
try/catch/finally”
“I have code that
runs for hours”
Turning Functions into Applications

75. Method Call Function Chaining Database Queues
Different Ways To Coordinate Functions

76. AWS Step Functions
Generally Available Today
Coordinate the components of distributed
applications using visual workflows

77. Scaling out Keeping state Error handling AuditingOperating
AWS Step Functions Takes Care Of Coordination

78. First-Class Primitives With Deep AWS Integration
Containers ServerlessVirtual Machines

79. Deeper Insight
Into Application & Service Execution

80. AWS X-Ray
Analyze and debug distributed
applications in production
Preview Available Today

81. fanout-00002
hello-1.mbfzqxzcpe.us-east-..
hello-2.mbfzqxzcpe.us-east-..
fanout-00005
fanout-00003
throttle
DynamoDB
index
DynamoDB
fanout-00004
400 traces/min
avg - 0.30 ms
600 traces / min
avg - 0.19 ms
1000 traces /min
avg - 0.13 ms
400 traces / min
avg - 0.30 ms
1000 traces / min
avg - 0.28 ms
400 traces / min
avg - 0.30 ms
850 traces / min
avg - 0.16 ms
850 traces / min
avg - 0.17 ms
Client
Client
800 traces / min
avg - 0.19 ms
fanout-00001
560 traces / min
avg - 0.19 ms
fanout-00006
AWS X-Ray

82. Real-time social
experience
Reduced time to
service by 300%
Serverless for app
and website
Assess trending
stories 50% faster
10x revenue
growth
Processes 4,000
requests per second
Retail marketing
application
Increased efficiency
and scalability
Achieving Invisibility
Microservice
architecture manages
usage spikes

83. F O R C E F I E L D

84. Access A Deep Set Of Cloud Security Tools
Shield Virtual Private
Cloud
Web
Application
Firewall
Key
Management
Service
CloudHSM Server-side
Encryption
IAM SAML Federation Active Directory
Integration
Service
Catalog
CloudTrail &
Inspector
Config
Networking Encryption
Identity Compliance

85. Web Application Firewall
CI/CD PipelineApplications
Automation Is Key To Protect Your:
Inspector
Security By Design
IAM KMSCloudHSM CloudTrail Config
Protecting Your Customers And
Your Business Is Priority #1

86. Distributed
Denial of
Service
One Particular Threat Customers Worry About:

87. Web applications running on AWS are already protected
by Shield Standard - no action is required
Protection from volumetric and state exhaustion attacks
Generally Available Today
AWS Shield For Everyone

88. For additional protection against very large
and sophisticated attacks
AWS Shield Advanced
Generally Available Today

89. Advanced notifications
via CloudWatch
Cost protection on ELB,
CloudFront, Route 53
24/7 DDoS response
team and support
WAF included at no
additional cost
AWS Shield Advanced

90. America’s Largest Digital Bank
Innovates Securely on AWS

92. AWS Offers Capital One Important Benefits
SECURITY
And mostly importantly…
ElasticityVelocity Availability Pace of
Innovation

93. In Conclusion…

94. I M M O R T A L I T Y

95. Startups Are Breathing New Life Into Virtually Every Industry
Accommodation
Payments CommunicationTradingVisual Search
Healthcare
Teams
Commerce Education Customer Relations

96. SaaS Companies Are Breathing New Life
Into Virtually Every Industry
ERP
Content management Business Applications
Operation Intelligence
Data Integration
CommunicationCRM
Healthcare

97. Enterprise Transformation

98. T H A N K Y O U