1. AWS
Ac&vate
Developing
on
AWS
Markku
Lepisto
–
Principal
Technology
Evangelist
@markkulepisto

2. Housekeeping
• Presenta&on
~50mins
• Post
Ques&ons
Online
• Q&A
at
the
end
• Reminder
–
Fill
in
the
survey!

3. IDEA
!
For
the
next
-­‐

6. Fail
Fast
Fail
Cheap
Fail
Forward

7. Scale
Success

8. Validate
Idea

9. Minimum
Viable
Product
(MVP)
• Release
quickly
• Limited
core
features
• Iterate
in
produc&on
• Business
decisions
based
on
data
“Produc(on
is
truly
the
only
place
you
can
validate
your
code”
-­‐
Michael
Nygard,
author
of
‘Release
it!’

10. Applica&on
Architecture
for
MVP’s
Core
Features

11. Tightly
Coupled,
Monolithic
(monster)

12. Decomposed
to
Services

13. Decomposed
to
Services

14. Decomposed
to
Services

15. Define
Your
MVP’s
Building
Blocks

16. Define
Your
MVP’s
Building
Blocks
Compute
Object
Store
Load
Balancer
SQL
Database
Iden&ty
&
Access
Data
Warehouse
Applica&on
Lifecycle
CDN
Recommenda&on
Engine
Social
Login
SSO
BI
Analy&cs
Web
Server
Reverse
Proxy
My
Second
Cool
Feature
My
Cool
Feature

17. Focus

18. Focus
on
Your
Core
Differen&ator

19. Outsource
Undifferen&a&ng
Ones
to
Services
Amazon
EC2
Amazon
S3
Elas&c
Load
Balancing
Amazon
RDS
AWS
IAM
Amazon
RedShic
AWS
OpsWorks
Amazon
CloudFront
EasyRec
HybridAuth
JasperSoc
Puma
Nginx
My
Second
Cool
Feature
My
Cool
Feature

20. Amazon
Web
Services

21. Regions,
Zones
and
Edge
Loca&ons

22. API
Regions Availability Zones Edge Locations
Storage
S3 EBS Glacier Storage
Gateway
Foundation
Services
Networking
VPC Direct
Connect
ELB Route53
Databases
RDS ElastiCacheDynamo RedShift
Content Delivery
CloudFront
Analytics
DataPipelineEMR Kinesis
EC2
Compute
WorkSpaces
AWS
Global
Infrastructure
Deployment&
Management
IAM Federation
Identity & AccessMonitoring
CloudWatch
Deployment & Management
BeanStalk Cloud
Formation
OpsWork CloudTrail
AWS
Global
Infrastru
cture
Libraries, SDK’s
Web Console
Interaction
Human Interaction
Support
Command Line
AWS
Global
Infrastructure
Application
Services
Application Services
SES SNS SQS Elastic
Transcoder
CloudSearch SWF AppStream

23. Discover
SW
Components
–
AWS
marketplace

24. Discover
SW
Components
–
GitHub

25. Discover
SW
Components
–
NeglixOSS

26. Services
are
Black
Boxes
Exposed
via
APIs
My
Cool
Feature
Iterate,
even
re-­‐
write
internal
implementa&on
API
is
stable,
with
few
changes,
poten&ally
versioning
API

27. Loose
Coupling
Enables
Scale-­‐out
and
Resiliency
Use
Message
Queues

28. Loose
Coupling
Enables
Scale-­‐out
and
Resiliency
Use
Message
Queues
Simple
Queue
Service
(SQS)

29. Loose
Coupling
Enables
Scale-­‐out
and
Resiliency
Use
Idempotent
Interfaces

30. Loose
Coupling
Enables
Scale-­‐out
and
Resiliency
Use
Circuit
Breakers

31. Loose
Coupling
Enables
Scale-­‐out
and
Resiliency
Use
Circuit
Breakers
Temporarily
bypass
unresponsive
service.
Switch
to
degraded
mode
transac&ons

32. Auto
Scale,
Load
Balance,
Monitor,
HA
Assure
Each
Service
Separately

33. Statelessness
Enables
Scale-­‐out
Separate
State
and
Data
from
Compute
Instances
Load
Balanced,
Auto
Scaling
pool
of
EC2
Workers
Scalable
Services
for
State
and
Data
ElastiCacheDynamoDBS3

34. Amazon
DynamoDB
Zero
Admin
NoSQL
Service
Unlimited
Storage
Provisioned
Throughput
<10ms
response
&me
Durable
on
SSD

35. Cloud-­‐SOA
S
O
A
• Cloud-­‐na&ve
New
Applica&ons
• SOA
principles
leveraging
Cloud
services
• Architect
for
– Automa&on
– Scale
– Cost
– Availability
– Data
• Applica&ons
are
– Always-­‐on
– Self-­‐healing
– An&-­‐fragile

36. Implemented
by
Two-­‐Pizza
Teams
• Small,
autonomous
teams
• Full
responsibility
for
Service
X
• Decoupled
launch
schedules
• No
handovers
• Trust

37. Pulng
It
All
Together
into
a
Solu&on

38. Pulng
It
All
Together
into
a
Solu&on

39. Pulng
It
All
Together
into
a
Solu&on

40. Pulng
It
All
Together
into
a
Solu&on

42. =
Programmable
Plagorm

43. If
you
can
program
it
You
can
automate
it

44. AWS
SDKs

45. Java
SDK
…!
res = ec2.runInstances new RunInstancesRequest([!
!imageId: "ami-00754474", !
!keyName: ”MyKeyPair", !
!instanceType: ”m3.medium", !
!securityGroups: [”MySecurityGroup"],!
!minCount: 1,!
!maxCount: 1,!
!userData:!
!"AWSWeb.war".bytes.encodeBase64().toString()!
!])!
…!
!

46. Unified
Command
Line
Interface
~ $ aws ec2 run-instances
--image-id ami-554ac83c
--min-count 1
--max-count 1
--key-name MyKeyPair
--security-groups MySecurityGroup

48. AMI
AMI
AMI
YOUR
CODE
CORE
SERVICES
3rd
PARTY
LIBRARIES
OPERATING
SYSTEM
YOUR
CODE
CORE
SERVICES
3rd
PARTY
LIBRARIES
OPERATING
SYSTEM
YOUR
CODE
CORE
SERVICES
3rd
PARTY
LIBRARIES
OPERATING
SYSTEM
Pre-­‐baked
Image
Base
OS
Image
+
Orchestra&on

49. 3rd
Party
Configura&on
Mgmt
&
Orchestra&on
Tools

50. AWS
OpsWorks
AWS
CloudFormaHon
AWS
ElasHc
Beanstalk
DevOps
framework
for
applicaHon
lifecycle
management
and
automaHon
Templates
to
deploy
&
update
infrastructure
as
code
Automated
resource
management
–
web
apps
made
easy
DIY
/
On
Demand
DIY,
on
demand
resources:
EC2,
S3,
custom
AMI’s,
etc.
ControlConvenience
AWS
Services
for
Applica&on
Lifecycle
Management

51. CloudForma&on
Template

53. SOURCE CODE
REPOSITORY
DNS
CONTINUOUS
INTEGRATION SERVER
PROJECT
MANAGEMENT SERVER
BUILDS
DATABASE
STORAGE

54. CLOUDFORMATION
TEMPLATE
BUILD +
DB SNAPSHOT

55. Application Versions + Infrastructure Versions
Applica&on
Your
Code
Infrastructure
To
Run
and
Support
Your
Code

56. Deliver
Con&nuously
• Infrastructure
as
Code
– Everything
now
programmable
– App
=
code
+
infrastructure
descrip&on
– In
version
control
• Full
test
automa&on
• Frequent
small
risk
&
size
builds
• Successful
builds
to
produc&on

57. test
Con&nuous
Integra&on
code
build
plan
Agile
Development
Source
hpp://www.collab.net
deploy
operate
collabora&on
value
DevOps
release
Con&nuous
Delivery

58. Go
Global
–
in
Minutes
• Launch
in
a
test
market
• A/B
Tes&ng
• Collect
all
logs
• Analy&cs
à
Insights
à
Iterate
Once
you
hit
the
sweet
spot
–
• Replicate
the
applica&on
to
all
regions

60. Measure
&
Log
Everything
Amazon
CloudWatch

61. COLLECT
|
STORE
|
ANALYZE
|
SHARE
Import
Export
Glacier
S3
EC2
Redshic
DynamoDB
EMR
Data
Pipeline
S3
Direct
Connect
Leverage
AWS
Big
Data
Services
CloudFront
Kinesis

62. Keep
Itera&ng

63. Keep
Innova&ng

64. «
Want
to
increase
innova&on?
Lower
the
cost
of
failure
»
Joi
Ito
MIT
MediaLabs

65. Fail
Fast
&
Cheap
-­‐
Scale
Success
Experiment
OXen
Fail
quickly
at
a
low
cost
More
InnovaHon
Experiment
Infrequently
Failure
is
expensive
Less
InnovaHon
ON-­‐PREMISE

66. DEMOS
1. AWS
Elas&c
Beanstalk
Deploy
to
Produc&on
using
Git
2. AWS
CloudForma&on
Upgrade
a
Deployed
Template
3. AWS
SDK
for
Ruby
Control
DynamoDB
&
RDS

67. Thank You!
aws.amazon.com/ac&vate
Markku
Lepisto
–
Principal
Technology
Evangelist
@markkulepisto

68. Your
Feedback
is
Important
Please
complete
the
Survey!
What’s
good,
what’s
not
What
you
want
to
see
at
these
events
What
you
want
AWS
to
deliver
for
you

69. Q & A