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
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
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
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
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
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
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
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
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
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
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