The document discusses the rethinking of application design for the cloud, emphasizing a shift towards cloud services-oriented architecture and the integration of various services instead of traditional infrastructure setups. It covers design patterns for cloud applications, continuous delivery practices, and key considerations for selecting service providers, including performance, reliability, and pricing models. The conclusion highlights the significant changes brought by cloud services and the importance of adopting best engineering practices for cloud application development.

1. Rethinking application design
for the Cloud
Cyrille Le Clerc
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2. Speaker
@cyrilleleclerc
CTO
Solution Architect
Cyrille Le Clerc
DevOps, Infra as Code
Continuous Delivery
Open Source
Cloud
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3. You ?
Dev? Ops? Java? Cloud?
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4. Cloud, IaaS, SaaS, PaaS
Infrastructure
as a Service
Platform
as a Service
Linux + storageMe
+ network
“Traditional” admin
App runtime
+ middleware
Managed
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Software
as a Service
Business App
Managed
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5. Agenda
•
Design Patterns for the Cloud
•
Building Applications on the Cloud: Continuous Delivery
•
Conclusion
•
Paradigm Shift: Cloud Services Oriented Architecture
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6. Paradigm Shift
Cloud Services Oriented Architecture
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7. *aaS Ecosystem
• *aaS is about service, not software
• Integrate services, don’t try to setup your own infrastructure
• Amazon AWS: the place to be for *aaS
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8. *aaS Ecosystem
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9. Location and Colocation
ies of
Fallac
ibuted
Distr
puting
Com
• Collocate application and databases
• Some systems can be distant
• Choose your cloud according to the services you require
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10. We
The Cloud & The Law
sel
f-c
erti
fy c
om
plia
not a
I’ m
yer!!!
law
nce
wit
h
Payment Card Industry Data Security Standard (PCI DSS)
Data Privacy Harbor
US EU Safe
HIPAA
Liability
ISO 27001
Data Portability and
Reversibility
Personally Identifiable Information
Applicable Law
Compliance
SSAE 16
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11. Pricing Model
•
Beware of unbounded pricing models
•
Prepare a credit card
•
Pay-per-use vs budget
•
Pay-per-use vs. fixed price
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12. Selection Criteria for a Service Provider
•
Performances
•
Reliability
•
Legal
•
Security
•
Pricing model
•
Location
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13. Design Patterns for the Cloud
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14. Evolution
Revolution
Scale Out
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15. Scale Up
•
Not optimal
•
Still possible, but up to a limit
!
Low utilization!
M1 Small
M1 Large
Then ???
M3 2 XLarge
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16. M1 Extra Large
•
•
•
•
64 bits
15 Gb memory
4 Vcore, 2 cpu unit (~2.5Gh)
1.6 Tb HD
!
!
•
aka « your desktop »
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17. Scale out
Design for clustering
Scale as you need
Pay as you use
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18. Evolution
Revolution
Fear the File System
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19. Fear the File System
•
Shared file system is difficult
•
Best practice for any automated deployment
•
Think multi instance
Local file system: ephemeral near-cache or replica
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20. Local File System is Everywhere!
Local file system is
everywhere!
app-x
tomcat
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21. Local File System is Everywhere!
•
Log files
•
Full text search
•
• Media library
Configuration files
app-x
Config
Search
tomcat
Logs
Media Library
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22. Configuration file
System properties
app-x
tomcat
Config
Amazon S3
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23. Log files
LOG
app-x
tomcat
Logs
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24. Full Text Search
app-x
Search
tomcat
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25. Media Library
Amazon S3
!
!
app-x
•
tomcat
Media Library
Direct access from end
user
•
Amazon S3 Security
tokens
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26. Evolution
Revolution
Latency matters!
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27. Latency Matters
app-x
tomcat
120ms
•
Inter Continental is
common
•
EU to us-east-1 latency:
120ms
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28. Measure
• Chrome Dev Tools
• Google Pagespeed
• YSlow
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29. Improve
•
Content Delivery Network: AWS
•
HTTP Headers: Expires & Cache Control
CloudFront, CloudFlare …
ecommerce
tomcat
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30. Evolution
Revolution
New High Availability Rules
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31. New High Availability Rules
•
Fast disk is “ephemeral”
•
Multiple data centers are
•
SAN is slow & not shareable
everywhere
•
Servers and storage are
infinite
Amazon: regions & availability zones
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32. Building Software on the Cloud
Continuous Delivery
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33. Continuous Delivery
Integration
Deployment
Delivery
•
•
•
•
•
•
•
•
•
Git push
•
Build
•
Test
• Ready for production
•
Production
Git push
Build
Test
Git push
Build
Test
Deploy
Production
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34. Blue Green Deployment
•
Martin Fowler: http://
martinfowler.com/bliki/
BlueGreenDeployment.html
•
Cloud Elasticity → 2x
•
Zero Downtime
number of servers during
deployment
•
NoSQL is your friend
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35. Conclusion
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36. Conclusion
• Cloud Services Oriented Architecture: big change
• Design patterns for the Cloud: mostly engineering best practices
• Start on the cloud with a green field application
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37. Ready for the Cloud!
Questions?
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