8. 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)
9. 2011 2012 2013 2014
Amazon EC2 Usage
93% YoY increase in EC2
instance usage
(Q4 2014 vs Q4 2013, not including Amazon use)
10. 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
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
27. Speed Is Not Just For Start-ups:
Companies of All Sizes Will Move Faster Than Ever Before
2
28. 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
29. 24
48 61
82
159
280
516
2008 2009 2010 2011 2012 2013 2014
AWS Rapid Pace Of Innovation
516 major new features and services launched in 2014
30. Enterprises Are Using The Cloud For New Apps
& Digital Transformation
StatCast New Applications E-commerceDigital
Personal Finance Web Digital contentHealthcare
33. Delivered 80+%
revenue growth
$67m year ended Mar ‘14
SUBSCRIPTION
REVENUE
83% constant dollar
YOY SUBSCRIPTION
REVENUE GROWTH
$210M year ended Mar ‘14
CASH TO INVEST
$93m year ended Mar ‘14
ANNUALISED
COMMITTED
MONTHLY REVENUE
40. Key Components Of Agility
+ =
Quick to
provision
Don’t have to
reinvent the wheel
Vast infrastructure
technology platform
41. More Functionality Than Any Other
Infrastructure Provider
Enterprise Applications
Administration & Security
Core Services
Platform Services
Infrastructure
AWS Marketplace
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
57. Wide range of
workloads with
significant diversity of
needs
Real World Workloads Come
In All Shapes & Sizes
No need to
standardize on the
lowest common
denominator
58. 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
59. Customers Want To Use The Leading Platform
Largest customer &
partner community
Most functionality
Longest
experience
60. More Functionality Than Any Other
Infrastructure Provider
Enterprise Applications
Administration & Security
Core Services
Platform Services
Infrastructure
AWS Marketplace
61. 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
62. File system
Access To Common Files Via A Shared File
System
Content
repositories
Development
environments
Home
directories
Data intensive
applications
63. The Challenges Of Shared File
Systems
Demand estimation Availability &
performance
Long lead
times
Constant upgrade &
refresh cycle
Status
64. The most obvious missing building block:
Can we manage entire file systems in a similar way to objects?
65. 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
66. Elastic: A File System That Grows
And Shrinks, Automatically
Dynamically and automatically resizes as data is added or removed
No need to provision storage capacity or performance
Pay only for the storage space you use
67. Scalable: A File System For Virtually
Any Workload
Grow to petabyte scale
Throughput and IOPS scale automatically
Support for thousands of concurrent NFS connections
Consistent low latency access
69. Companies Will Use Data More Expansively
Than At Any Other Point In History
4
70. It’s never been easier and less expensive to
collect, store, analyze & share data
71. 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
72. Broad Analytics Usage In
The AWS Cloud
Discovery Development Delivery
Risk Marketing Reporting Trade
Sales
73. More And More Customers Are
Adopting Machine Learning
Email targeting Recommendations Social news
Digital health Language processing Auto-scaling
74. A Legacy Of Machine Learning
At Amazon
“Customers who bought this also bought…”
Natural language processing
Search
Vision systems in Fulfillment Centers
75. How do we provide all internal teams with
access to machine learning?
78. Easily create machine learning models
Visualize and optimize models
Put models into production in seconds
Battle-hardened technology
Introducing Amazon Machine Learning
80. Automatically find patterns in existing data & make confident
predictions on new data
Predictive Models And Machine Learning
81. Train and optimize models on GBs of data
Batch process predictions
Real-time prediction API in one-click
No servers to provision or manage
Easy to Use, High Performance
83. Old World Databases
Lock inProprietary
Punitive licensing with
limited flexibility
Very expensive
S
84. It’s Why Customers Have Been Moving To More Open,
Customer Friendly, Less Expensive Database Engines
85. …But, to get comparable performance
to proprietary databases is hard
86. 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
87. Similar Story For Desktops
Physical Desktops
Expensive
Physically distributed
Data spread across machines
Hard to manage
88. 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
89. 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
94. Amazon EC2 Container Service
Launch and terminate
Docker containers
Across a cluster
of EC2 instances
Mount persistent
volumes at launch
Private Docker
repositories
95. EC2 Container Service Is Now Generally Available
Available to
all customers
Management
console
Geographic
expansion
US East, US West, EU
West, Japan and Sydney
CloudTrail
integration
aws.amazon.com/ecs
96. 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
98. How Are Customers Using
AWS Lambda?
Data triggers
Stream processing
Indexing &
synchronization
IoT
Server-free
back-end
99. 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