Sydney summit-keynote

Amazon Web Services
Amazon Web ServicesAmazon Web Services
Mike Clayville
VP, Worldwide Field Operations & Business Development
Amazon Web Services
How Is The AWS Business Progressing?
2012 2013 2014
Amazon S3 Usage
102% YoY increase in data transfer
to and from S3
(Q4 2014 vs Q4 2013, not including Amazon use)
2011 2012 2013 2014
Amazon EC2 Usage
93% YoY increase in EC2
instance usage
(Q4 2014 vs Q4 2013, not including Amazon use)
2008 2009 2010 2011 2012 2013 2014
Over 1 Million
Active Customers
“Active customer” is defined as a non-Amazon customer with AWS account usage activity in the past month, including the free tier
Startup Customers
Enterprise Customers
Public Sector Customers
2015 APN Premier Consulting Partners
APN Technology Partners
The fastest growing multi-billion dollar
enterprise IT company in the world
Amazon Web Services > 40%
Salesforce 26%
VMware 15%
Google 15%
CDW 12%
Microsoft 8%
Cisco 7%
SAP 7%
EMC 6%
Oracle 0%
Teradata -1%
CA -3%
HP -5%
CSC -9%
IBM -12%
Multi-billion dollar
enterprise IT vendors
Most recent YoY
revenue growth rate
Cloud Has Become The New Normal
What Are The Patterns Of
This New Normal?
Start-ups Build Businesses
From Scratch In The Cloud
1
No legacy Lower cost structureNo dependencies
S
Move quickly
Building All Applications In The Cloud
Disrupt Long Standing Industries, Quickly
Hotels Storage Gaming
Groceries Matchmaking
Luke Anear
Founder & CEO
 Sydney summit-keynote
 Sydney summit-keynote
 Sydney summit-keynote
 Sydney summit-keynote
 Sydney summit-keynote
Super Powers for everyday workers
The Best App I have ever
downloaded! 



This app saves a heap of time on
site and then when I am at
home, the task is already done;
no more sitting at the computer
writing out reports.
Donald Kempf - Sunshine Cranes
Sydney
Speed Is Not Just For Start-ups: 

Companies of All Sizes Will Move Faster Than Ever Before
2
Chris Taylor
Chief Technology Officer
Page ‹#›
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• Platform for innovation
• Simplification through advanced automation
• Agility
• Supports cultural transformation
It’s completely different and transformational:
Page ‹#›
• Rethink the future
• Automate everything
• Bring people on the journey
• Create the demand
• Keep it simple
Page ‹#›
Flight planning to North America
Page ‹#›
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Adapting to our customers
Understand bookings in real time
Deliver personalised experiences
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Sydney
2008 2009 2010 2011 2012 2013 2014
516
280
159
82
6148
24
AWS Rapid Pace Of Innovation
516 major new features and services launched in 2014
Old World
Large upfront capital investment
Basic compute and storage only
Responsible for feature upgrades
Slow to get new capabilities
Low, variable cost
Broad and deep platform
New features arrive daily
Ready to use
Enterprises Are Using The Cloud 

For New Apps & Digital Transformation
StatCast New Applications E-commerceDigital
Personal Finance Web Digital contentHealthcare
Customers Want Access
To The Whole Lot
3
Key Components Of Agility
+ =
Quick to
provision
Don’t have to
reinvent the wheel
Vast infrastructure
technology platform
Storage
Auditing, Security
& Compliance
Relational
Databases
General Purpose (M3)
Compute Optimized (C3)
Memory Optimized (R3)
GPU Optimized (G2)
Storage Optimized (D2)
IO Optimized (I2)
Low cost, burst-able
performance (T2)
RDS for MySQL
RDS for SQL Server
RDS for Oracle
RDS for PostgreSQL
RDS for Amazon Aurora
Configuration history
Usage audit logs
Change notifications
Dedicated HSMs
Customer controlled keys
Block storage:
Magnetic
General Purpose SSD
Provisioned IOPS SSD
Multi-AZ synchronous
replication
Read replica support
Object storage:
Life cycle management
Event triggers
Data locality control
Not Just The Expansive Services… Much Deeper Features
Compute
“IT organizations cannot treat cloud
IaaS providers like commodities”
Lydia Leong
Customers Don’t Want To Settle 

For A Fraction Of The Functionality
Wide range of
workloads with
significant diversity of
needs
No need to
standardize on the
lowest common
denominator
Customers Want To Use The Leading
Platform
Largest customer &
partner community
Most functionality
Longest
experience
More Functionality Than Any
Other Infrastructure Provider
Enterprise Applications
Administration & Security
Core Services
Platform Services
Infrastructure
AWS Marketplace
A Wide Family Of Storage Workloads Run In
The Cloud Today
Internet-scale web and mobile applications
Content distribution
Backup, archival & disaster recovery
Big data analytics
Databases & business apps
Objects Block Archive
Announcing The Amazon Elastic File System
A managed service to easily set up and scale shared file storage
Introducing The Amazon Elastic File System
A fully managed file system for EC2
Highly available and durable
SSD-based
Automatic data replication across AZs (like S3)
Very high throughput and low latency
Grows to petabyte scale, elastically
Amazon EFS Preview

Winter 2015
Register for the preview today:
aws.amazon.com/efs
Companies Will Use Data More Expansively
Than At Any Other Point In History
4
It’s never been easier and less expensive to 

collect, store, analyze & share data
Sources of Truth Analysis PlatformsHigh Performance Databases
Fully Loaded For Big Data
Amazon S3
Amazon Glacier
Amazon EFS
Amazon DynamoDB
Amazon Aurora
Amazon Redshift
Amazon Kinesis
Amazon EMR
Broad Analytics Usage 

In The AWS Cloud
Discovery Development Delivery
Risk Marketing Reporting Trade
Sales
Julian Dell
IT Director
About amaysim
BYO    
Mobile
No  
Contracts
Fourth  Largest  
Telco  In  Oz
MVNO
Disruptor  
Brand
57
“Data is the new oil”
Growing Pains
58
Hardware for Sale
59
Lift vs Transform
60
We use the time saved wisely
61
Operational Transformation is Paramount
Code  
InfrastructureConfiguration
Mindset  
Change
No  Server  
Logons
AWS  
Best  
Practice
Automation
What we’re doing now
63
Sydney
More And More Customers Are
Adopting Machine Learning
Email targeting Recommendations Social news
Digital health Language processing Auto-scaling
A Legacy Of Machine
Learning At Amazon
“Customers who bought this also bought…”
Natural language processing
Search
Vision systems in Fulfillment Centers
How do we provide all internal teams with
access to machine learning?
The Spark For Hundreds Of New Machine
Learning Applications
Counterfeit goods detection
Customer adoption models
Item classification
Sales lead ranking
Search intent
Demand estimation
Customer support
Display ads
Grouping Customers:
An Experiment
45 days
2 Developers
92% accuracy
20 minutes
1 Developer
92% accuracy
45 days
2 Developers
92% accuracy
Grouping Customers:
An Experiment
Announcing Amazon Machine Learning
A Fully Managed Machine Learning Service for Developers
The Old Shackles Are Loosening
5
Old World Databases
Lock inProprietary
Punitive licensing with
limited flexibility
Contract
Very expensive
S
It’s Why Customers Have Been Moving To More Open,
Customer Friendly, Less Expensive Database Engines
…But, to get comparable performance
to proprietary databases is hard
MySQL compatible
Available, durable, and fault tolerant
5X better performance of high-end MySQL database
Highly scalable and secure
Thousands of customers in the preview
1/10th the cost of the leading
commercial database solutions
Amazon
Aurora
Similar Story For Desktops
Physical Desktops
Expensive
Physically distributed
Data spread across machines
Hard to manage
Virtual Desktops
Centrally managed
Deploy software
Patching & security updates
Provision hardware
Performance is poor
Expensive
Similar Story For Desktops
Physical Desktops
Expensive
Physically distributed
Data spread across machines
Hard to manage
Similar Story For Desktops
No hardware or software to
install or maintain
Monthly pricing - no long term
commitments
Desktop Virtualization The AWS
Way With Amazon WorkSpaces
Access via multiple
devices
Half the price of 

on-premises VDI
Integrates with existing
directories
2015 Is The Year for WorkSpaces At
Johnson & Johnson
Consultants & employees can use Amazon WorkSpaces as
their primary desktop
Deploy 25k+ desktops over the next year
Desktop Applications
Multi-year
software licensing
Under
Utilization
Lack of
visibility
Deployment
challenges
Maintenance
overhead
2015-2025
Two New Capabilities To Help
Available Now
aws.amazon.com/workspacesaws.amazon.com/desktopapps
WorkSpaces
Application Manager (WAM)
AWS Marketplace
for Desktop Applications
Reinvention Is Continuous
6
Amazon EC2 Container Service
Launch and terminate 

Docker containers
Across a cluster 

of EC2 instances
Mount persistent 

volumes at launch
Private Docker 

repositories
A New Service Scheduler
For Long-running Applications
Scale containers

up and down
Distribute traffic

via ELB
Automatically

recover unhealthy

containers
Deploy updated

containers &

definitions
Shrinking Compute To Atomic
Scale With AWS Lambda
AWS Lambda:
An Event Driven Computing Service
Events from AWS services Cloud Functions in
Node.js
Automatic execution with
no servers to provision
How Are Customers Using
AWS Lambda?
Data triggers Stream processing Indexing &
synchronization
IoT Server-free
back-end
Cloud
functions in
Java
Call Cloud Functions
Directly
Integration with
Amazon Cognito
Amazon SNS
triggers
AWS Mobile
SDK support
New AWS Lambda Functionality
For Mobile Developers
Now Generally Available + New Features
Moving To The Cloud Is Not A Binary Decision
7
On-premises Cloud?
What Role Does
Hybrid IT Play?
Services For Hybrid IT
On-premises AWS
Virtual Private Cloud
Direct Connect
AWS Config
Storage Gateway
Integrated 

networking
Directory Service
Identity Federation
Integrated 

identity
Integrated 

management
AWS CloudTrail
Backups
OpsWorks
Deployment
CodeDeploy
vCenter & System Center
plugins
Hybrid IT Is Part Of The Journey,
Not The Destination
Customers & Partners Are All-in On The Cloud And AWS
8
Bold Move In 2009
In 2014:
“Friends don’t let friends
build data centers”
Charles Philips, CEO
In 2014:
Now Announcing Global Availability of Splunk Cloud
Through AWS Worldwide Regions
Godfrey Sullivan, CEO
“Cloud is the new
data center.”
All-in With AWS: Now Common in 2015
Enterprise customers ISV partners
Fighting Gravity
Thank You
Sydney
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Sydney summit-keynote

  • 1. Mike Clayville VP, Worldwide Field Operations & Business Development Amazon Web Services
  • 2. How Is The AWS Business Progressing?
  • 3. 2012 2013 2014 Amazon S3 Usage 102% YoY increase in data transfer to and from S3 (Q4 2014 vs Q4 2013, not including Amazon use)
  • 4. 2011 2012 2013 2014 Amazon EC2 Usage 93% YoY increase in EC2 instance usage (Q4 2014 vs Q4 2013, not including Amazon use)
  • 5. 2008 2009 2010 2011 2012 2013 2014 Over 1 Million Active Customers “Active customer” is defined as a non-Amazon customer with AWS account usage activity in the past month, including the free tier
  • 9. 2015 APN Premier Consulting Partners
  • 11. The fastest growing multi-billion dollar enterprise IT company in the world Amazon Web Services > 40% Salesforce 26% VMware 15% Google 15% CDW 12% Microsoft 8% Cisco 7% SAP 7% EMC 6% Oracle 0% Teradata -1% CA -3% HP -5% CSC -9% IBM -12% Multi-billion dollar enterprise IT vendors Most recent YoY revenue growth rate
  • 12. Cloud Has Become The New Normal
  • 13. What Are The Patterns Of This New Normal?
  • 14. Start-ups Build Businesses From Scratch In The Cloud 1
  • 15. No legacy Lower cost structureNo dependencies S Move quickly Building All Applications In The Cloud
  • 16. Disrupt Long Standing Industries, Quickly Hotels Storage Gaming Groceries Matchmaking
  • 23. Super Powers for everyday workers The Best App I have ever downloaded! 
 
 This app saves a heap of time on site and then when I am at home, the task is already done; no more sitting at the computer writing out reports. Donald Kempf - Sunshine Cranes
  • 25. Speed Is Not Just For Start-ups: 
 Companies of All Sizes Will Move Faster Than Ever Before 2
  • 29. Page ‹#› • Platform for innovation • Simplification through advanced automation • Agility • Supports cultural transformation It’s completely different and transformational:
  • 30. Page ‹#› • Rethink the future • Automate everything • Bring people on the journey • Create the demand • Keep it simple
  • 31. Page ‹#› Flight planning to North America
  • 33. Page ‹#› Adapting to our customers Understand bookings in real time Deliver personalised experiences
  • 37. 2008 2009 2010 2011 2012 2013 2014 516 280 159 82 6148 24 AWS Rapid Pace Of Innovation 516 major new features and services launched in 2014
  • 38. Old World Large upfront capital investment Basic compute and storage only Responsible for feature upgrades Slow to get new capabilities Low, variable cost Broad and deep platform New features arrive daily Ready to use
  • 39. Enterprises Are Using The Cloud 
 For New Apps & Digital Transformation StatCast New Applications E-commerceDigital Personal Finance Web Digital contentHealthcare
  • 40. Customers Want Access To The Whole Lot 3
  • 41. Key Components Of Agility + = Quick to provision Don’t have to reinvent the wheel Vast infrastructure technology platform
  • 42. Storage Auditing, Security & Compliance Relational Databases General Purpose (M3) Compute Optimized (C3) Memory Optimized (R3) GPU Optimized (G2) Storage Optimized (D2) IO Optimized (I2) Low cost, burst-able performance (T2) RDS for MySQL RDS for SQL Server RDS for Oracle RDS for PostgreSQL RDS for Amazon Aurora Configuration history Usage audit logs Change notifications Dedicated HSMs Customer controlled keys Block storage: Magnetic General Purpose SSD Provisioned IOPS SSD Multi-AZ synchronous replication Read replica support Object storage: Life cycle management Event triggers Data locality control Not Just The Expansive Services… Much Deeper Features Compute
  • 43. “IT organizations cannot treat cloud IaaS providers like commodities” Lydia Leong
  • 44. Customers Don’t Want To Settle 
 For A Fraction Of The Functionality Wide range of workloads with significant diversity of needs No need to standardize on the lowest common denominator
  • 45. Customers Want To Use The Leading Platform Largest customer & partner community Most functionality Longest experience
  • 46. More Functionality Than Any Other Infrastructure Provider Enterprise Applications Administration & Security Core Services Platform Services Infrastructure AWS Marketplace
  • 47. A Wide Family Of Storage Workloads Run In The Cloud Today Internet-scale web and mobile applications Content distribution Backup, archival & disaster recovery Big data analytics Databases & business apps Objects Block Archive
  • 48. Announcing The Amazon Elastic File System A managed service to easily set up and scale shared file storage
  • 49. Introducing The Amazon Elastic File System A fully managed file system for EC2 Highly available and durable SSD-based Automatic data replication across AZs (like S3) Very high throughput and low latency Grows to petabyte scale, elastically
  • 50. Amazon EFS Preview
 Winter 2015 Register for the preview today: aws.amazon.com/efs
  • 51. Companies Will Use Data More Expansively Than At Any Other Point In History 4
  • 52. It’s never been easier and less expensive to 
 collect, store, analyze & share data
  • 53. Sources of Truth Analysis PlatformsHigh Performance Databases Fully Loaded For Big Data Amazon S3 Amazon Glacier Amazon EFS Amazon DynamoDB Amazon Aurora Amazon Redshift Amazon Kinesis Amazon EMR
  • 54. Broad Analytics Usage 
 In The AWS Cloud Discovery Development Delivery Risk Marketing Reporting Trade Sales
  • 56. About amaysim BYO     Mobile No   Contracts Fourth  Largest   Telco  In  Oz MVNO Disruptor   Brand
  • 57. 57 “Data is the new oil”
  • 61. We use the time saved wisely 61
  • 62. Operational Transformation is Paramount Code   InfrastructureConfiguration Mindset   Change No  Server   Logons AWS   Best   Practice Automation
  • 65. More And More Customers Are Adopting Machine Learning Email targeting Recommendations Social news Digital health Language processing Auto-scaling
  • 66. A Legacy Of Machine Learning At Amazon “Customers who bought this also bought…” Natural language processing Search Vision systems in Fulfillment Centers
  • 67. How do we provide all internal teams with access to machine learning?
  • 68. The Spark For Hundreds Of New Machine Learning Applications Counterfeit goods detection Customer adoption models Item classification Sales lead ranking Search intent Demand estimation Customer support Display ads
  • 69. Grouping Customers: An Experiment 45 days 2 Developers 92% accuracy
  • 70. 20 minutes 1 Developer 92% accuracy 45 days 2 Developers 92% accuracy Grouping Customers: An Experiment
  • 71. Announcing Amazon Machine Learning A Fully Managed Machine Learning Service for Developers
  • 72. The Old Shackles Are Loosening 5
  • 73. Old World Databases Lock inProprietary Punitive licensing with limited flexibility Contract Very expensive S
  • 74. It’s Why Customers Have Been Moving To More Open, Customer Friendly, Less Expensive Database Engines
  • 75. …But, to get comparable performance to proprietary databases is hard
  • 76. MySQL compatible Available, durable, and fault tolerant 5X better performance of high-end MySQL database Highly scalable and secure Thousands of customers in the preview 1/10th the cost of the leading commercial database solutions Amazon Aurora
  • 77. Similar Story For Desktops Physical Desktops Expensive Physically distributed Data spread across machines Hard to manage
  • 78. Virtual Desktops Centrally managed Deploy software Patching & security updates Provision hardware Performance is poor Expensive Similar Story For Desktops Physical Desktops Expensive Physically distributed Data spread across machines Hard to manage Similar Story For Desktops
  • 79. No hardware or software to install or maintain Monthly pricing - no long term commitments Desktop Virtualization The AWS Way With Amazon WorkSpaces Access via multiple devices Half the price of 
 on-premises VDI Integrates with existing directories
  • 80. 2015 Is The Year for WorkSpaces At Johnson & Johnson Consultants & employees can use Amazon WorkSpaces as their primary desktop Deploy 25k+ desktops over the next year
  • 81. Desktop Applications Multi-year software licensing Under Utilization Lack of visibility Deployment challenges Maintenance overhead 2015-2025
  • 85. Amazon EC2 Container Service Launch and terminate 
 Docker containers Across a cluster 
 of EC2 instances Mount persistent 
 volumes at launch Private Docker 
 repositories
  • 86. A New Service Scheduler For Long-running Applications Scale containers
 up and down Distribute traffic
 via ELB Automatically
 recover unhealthy
 containers Deploy updated
 containers &
 definitions
  • 87. Shrinking Compute To Atomic Scale With AWS Lambda
  • 88. AWS Lambda: An Event Driven Computing Service Events from AWS services Cloud Functions in Node.js Automatic execution with no servers to provision
  • 89. How Are Customers Using AWS Lambda? Data triggers Stream processing Indexing & synchronization IoT Server-free back-end
  • 90. Cloud functions in Java Call Cloud Functions Directly Integration with Amazon Cognito Amazon SNS triggers AWS Mobile SDK support New AWS Lambda Functionality For Mobile Developers Now Generally Available + New Features
  • 91. Moving To The Cloud Is Not A Binary Decision 7
  • 92. On-premises Cloud? What Role Does Hybrid IT Play?
  • 93. Services For Hybrid IT On-premises AWS Virtual Private Cloud Direct Connect AWS Config Storage Gateway Integrated 
 networking Directory Service Identity Federation Integrated 
 identity Integrated 
 management AWS CloudTrail Backups OpsWorks Deployment CodeDeploy vCenter & System Center plugins
  • 94. Hybrid IT Is Part Of The Journey, Not The Destination
  • 95. Customers & Partners Are All-in On The Cloud And AWS 8
  • 96. Bold Move In 2009
  • 97. In 2014: “Friends don’t let friends build data centers” Charles Philips, CEO
  • 98. In 2014: Now Announcing Global Availability of Splunk Cloud Through AWS Worldwide Regions Godfrey Sullivan, CEO “Cloud is the new data center.”
  • 99. All-in With AWS: Now Common in 2015 Enterprise customers ISV partners
  • 102. Sydney