This document discusses how enterprises can take advantage of AWS cloud services. It begins by explaining how AWS provides agility through rapid provisioning of infrastructure. It then discusses how the breadth of AWS platforms allows customers to build sophisticated, scalable applications. Finally, it notes that AWS drives continuous iteration and innovation through frequent new feature releases and upgrades handled automatically.

1. Journey to the Cloud
Markku Lepistö
Principal Technology Evangelist
@markkulepisto

2. AWS Introduction

3. Start-Ups on AWS

4. Enterprises on AWS

5. Public Sector on AWS

6. System Integrators on AWS

7. ISVs on AWS

9. ASEAN Partners

10. Gartner “Magic Quadrant for Cloud Infrastructure as a Service,” Lydia Leong, Douglas
Toombs, Bob Gill, Gregor Petri, Tiny Haynes, August 19, 2013. This Magic Quadrant
graphic was published by Gartner, Inc. as part of a larger research note and should be
evaluated in the context of the entire report.. The Gartner report is available upon
request from Steven Armstrong (asteven@amazon.com). 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. 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.
Gartner Magic Quadrant
for Cloud Infrastructure
as a Service
(August 19, 2013)

11. Why Are Enterprises Choosing AWS?

12. The
primary
reason
businesses
are
moving
so
quickly
to
AWS
and
the
cloud
#1:
Agility

13. Enterprises Can’t Afford to be Slow
Add New Dev Environment
Add New Prod Environment
Add New Environment in Singapore
Add 1,000 Servers
Remove 1,000 Servers
Deploy 1 PB Data Warehouse
Shut down 1 PB Data Warehouse
AWS:
Infrastructure in Minutes
Old World:
Infrastructure in Weeks
Everything changes with this kind of agility

14. A
broad
and
deep
pla;orm
helps
customers
build
sophis<cated,
scalable
applica<ons
#2
Pla.orm
Breadth

15. AWS Platform
AWS Global Infrastructure
Application Services
Networking
Deployment & Administration
DatabaseStorageCompute

16. Oregon
Beijing
Tokyo
Singapore
Ireland
GovCloud
Northern
California
Sydney
São
Paulo
AWS Global Infrastructure
10 Regions
26 Availability Zones
51 Edge Locations
Continuous Expansion

17. Architected for Enterprise Security Requirements
Cer<fica<ons
and
accredita<ons
for
workloads
that
maJer
AWS
CloudTrail
-­‐
AWS
API
call
logging
for
governance
&
compliance
Stores
data
in
S3,
or
archive
to
Glacier
Log
and
review
user
ac<vity

18. Many Enterprises Worry That These are the Only Two Choices
Build a
“Private”
Cloud
Rip everything out
and move to
AWS
#1 #2

19. The Good News is that Cloud isn’t an ‘All or Nothing’ Choice
Corporate
Data Centers
On-­‐Premises
Resources
Cloud
Resources
Integra<on

20. #3:
Con=nuous
Itera=on
and
Innova=on
AWS
con<nuously
upgrades
infrastructure,
so
you
don’t
have
to

21. A Rapid Pace of Innovation
New
Service
Announcements
&
Updates
2012
2011
2010
2009
82
61
48
24
2008
159
280
2013
2014:
80
New
Features
and
Services
Since
January

22. On-­‐premises
infrastructure
Upgrades
are
your
responsibility
Every New Feature and Service Arrives Ready to Use
Upgrades
happen
automa=cally
DynamoDB
Cross-­‐region
import/
export

23. #4:
Cost
Savings
and
Flexibility

24. Lower Costs with AWS Up-Front and Increase Savings as Your Usage Grows
Source: IDC Whitepaper, sponsored by
Amazon, “The Business Value of Amazon
Web Services Accelerates Over Time.”
July 2012
1
“Average of 400 servers
replaced per customer”
Replace
up-­‐front
capital
expense
with
low
variable
cost
2
42 Price
Reductions
Economies
of
scale
allow
us
to
con=nually
lower
costs
3
Pricing
model
choice
to
support
variable
&
stable
workloads
4
Save
more
money
as
you
grow
bigger
On-demand
Reserved
Spot
Tiered Pricing
Volume Discounts
Custom Pricing

25. Journey to the AWS Cloud

26. Common Problems
!
Long
lead
<mes
!
Inability
to
predict
success
!
Sta<c,
pre-­‐invested
capacity
!
High
cost
of
failure
!
Risk
aversion
à
S<fled
Innova<on

27. Ok… So how?

28. Where do I Start?

29. Training
Business Case
RFx
Procurement
Business Processes
Development Tools
Backend Systems
Compliance
Product
Management
MarkeFng
PorGolio
Management
Channels
Lifecycle
Support
Security
Licenses
Try It
Audit

30. Training
Business Case
RFx
Procurement
Business Processes
Development Tools
Backend Systems
Compliance
Product
Management
MarkeFng
PorGolio
Management
Channels
Lifecycle
Support
Security
Licenses
Try It
Audit

31. Try
It!

32. AWS Test Drives
Try
It!

33. AWS Marketplace
Try
It!

34. Cloud for Development & Test Environments
SAP Oracle Enterprise
Applications
SAP
Reduced deployment time
from weeks to days
Reduced test
environment costs
70% reduction in
operational costs
Try
It!

35. Build New Apps in the Cloud
Faster to build Easier to manage Less expensive to run
Distributed architectures for high availability
Financial
record
archiving
Clinical
trial
simula=ons
Product
Prototyping
&
Design
Audience
management
&
crea=ve
design
Hotel
booking
engine
Biological
data
research
Global
web
proper=es
Global
deals
engine
Video
streaming
SIM
card
credit
News
distribu=on
App
streaming
Firmware
upgrades
Mobile
games
Try
It!

36. !
Release
quickly
!
Limited
core
features
!
Iterate
in
produc<on
“Produc(on
is
truly
the
only
place
you
can
validate
your
code”
-­‐
Michael
Nygard,
author
of
‘Release
it!’
Build Minimum Viable Products
Try
It!

38. Use Cloud to Make On-Premises Apps Better
Big Data Analytics Oracle Databases Big Data Analytics
Export operational data
to AWS for analytics
processing
Automated backup
to S3 with
Oracle RMAN
50% cost reduction with
2x faster queries using
Amazon Redshift
Try
It!

39. Backup & Archive
Try
It!

40. Ok tried it -­‐ It worked! What next?

41. Scale
It!
Try
It!

42. Your Data Center
Scale
It!

43. Your Data Center
Project A
Deployed
Your LAN
Segments
Scale
It!

44. Your Data Center
Project B
Deployed
Project C
Deployed
AWS VPC
Scale
It!

45. Your Data Center
Extend Your Datacenter and Networks Securely
Scale
It!

46. Cloud Apps that Integrate with On-Premises Apps
On-Premises
Data Centers
Hybrid
App
AWS serves
application
content & data
Integration to
Samsung data
centers
for financial
transactions
Scale
It!

47. On-Premises
Data Centers
App
1/3 of servers
migrated to AWS
Saved
£1.5 Million
Migrated 500 web
properties in 5
months
New product web
sites live in 2 days
vs. 2 weeks
Migrated clinical
trials simulations
platform
Simulations in
1.2hrs vs. 60hrs
64% reduction in
costs
Migrate Existing Apps to the Cloud
Scale
It!

48. Ok I’m in! How can I take
Full Advantage of the Cloud?

49. Scale
It!
Try
It!
Op=mize
It!

50. The New Role of IT Operations
!
Enabler
of
Services
!
Procured
with
Business-­‐driven
Evalua<ons
!
Offered
On-­‐demand,
Self-­‐Service
!
With
Metering,
Charge-­‐back
Billing
!
And
Compliance
Op=mize
It!

52.
Applica<on
Versions
+
Infrastructure
Versions
Applica<on
Your
Code
Infrastructure
To
Run
and
Support
Your
Code
Op=mize
It!
Infrastructure as Code

53. Continuous Delivery
!
App
code
+
infra
descrip<on
!
In
version
control
!
Test
automa<on
!
Frequent
small
risk
&
size
builds
!
Deploy
to
produc<on
Op=mize
It!

54. test
Con<nuous
Integra<on
code
build
plan
Agile
Development
Source
hJp://www.collab.net
deploy
operate
collabora<on
value
DevOps
release
Con<nuous
Delivery
Op=mize
It!

55. Including
outliers
&
ends
of
distribu<on
Log & Measure Everything Op=mize
It!

56. !
Collect
all
logs
!
A/B
tes<ng
!
Analy<cs
à
Insights
à
Act
!
Iterate
con<nuously
Let Data Drive Your Decisions Op=mize
It!
“Without big data analytics, companies are
blind and deaf, wandering out onto the web
like deer on a freeway”
Geoffrey Moore

57. Import
Export
Glacier
S3
EC2
Redshi]
DynamoDB
EMR
Data
Pipeline
S3
Direct
Connect
COLLECT
STORE
ANALYZE
SHARE
AWS
BIG
DATA
PORTFOLIO
Amazon
Kinesis
-­‐
Fully-managed service for real time processing of
streaming data, at any scale
Leverage Big Data Services
Op=mize
It!

58. • From
over
40
data
centers
down
to
6
• Planning
to
migrate
3000
apps
by
Jan
2015
• Saving
$100M
over
3
Years
VS
1.
Evaluate
infrastructure
costs
&
architecture
2.
Make
business
case
3.
Enable
decision
to
move
to
the
cloud
Customer
Spotlight:
Dow
Jones
Intl.
Datacenter Migrations
Op=mize
It!

59. How Can AWS Help With The Journey?

60. AWS Pathfinder Program
Stakeholder
Briefings
Opera<onal
Integra<on
Training
Workload
Discovery
Proof
of
Concept
Business
Case
Op<onal
Outcomes

61. Rekindle
Innova<on

62. Innovate

63. «
Want
to
increase
innova<on?
Lower
the
cost
of
failure
»
Joi
Ito
MIT
MediaLabs

64. Enterprise Journey to the Cloud
Experiment
O]en
Fail
quickly
at
a
low
cost
More
Innova=on
Experiment
Infrequently
Failure
is
expensive
Less
Innova=on
ON-­‐PREMISE

65. Thank You!