This document discusses how to smartly deploy software on AWS. It introduces microservices architecture and how it enables faster deployments. It then describes AWS services that can be used to implement continuous delivery of microservices, including CodeCommit for source control, CodePipeline for continuous integration and delivery, and CodeDeploy for deployment. CodeDeploy allows rolling deployments without downtime by deploying to instances in stages. It ensures successful deployments by tracking instance health and allowing rollbacks if issues are detected. The document provides an example reference architecture of using these services across development, test, and production environments.

1. AWS로 스마트하게 소프트웨어 배포하기
김일호, 솔루션즈 아키텍트, 한국 아마존웹서비스

3. ~11.6s
Mean time between
deployments
(weekday)
~1,079
Max number of
deployments in a
single hour
~10,000
Mean number of
hosts simultaneously
receiving a
deployment
~30,000
Max number of hosts
simultaneously
receiving a
deployment
DEPLOYMENTS AT
AMAZON.COM

4. Monolithic
Service-Oriented
architecture
Agility
Microservice

5. Better Communication~
Better productivity~
Effectiveness~
Decentralized~
Agility~
Ownership~

6. Microservice development lifecycle
developers delivery pipelinesservices
releasetestbuild
releasetestbuild
releasetestbuild
releasetestbuild
releasetestbuild

7. MonitorProvisionDeployTestBuildCode
Elastic Beanstalk
OpsWorks
Cloud
Watch
Cloud
Formation
Code
Deploy
Code
Commit
Code
Pipeline

8. CodeCommit

9. Source control in the cloud
Secure Fully
managed
High
availability
Store
anything

10. AWS CodeCommit
• Use standard Git tools
• Scalability, availability, and durability of Amazon S3
• Encryption at rest with customer-specific keys
• No repo size limit
git pull/push CodeCommit
Git objects in
Amazon S3
Git index in
Amazon
DynamoDB
Encryption key
in AWS KMS
SSH or HTTPS

11. CodePipeline

12. AWS CodePipeline
Continuous delivery and release automation, just like Amazon
Build
1) Build
2) Unit test
1) Deploy
2) UI test
Source Beta Production
1) Deploy
2) Load test
Gamma
1) Deploy region1
2) Deploy region2
3) Deploy regoin3

13. AWS CodePipeline
• Continuous Delivery and Release Automation
• Design your own workflow
• Source-Code Checking
• Building
• Testing
• Deploying
• Integration with partners and custom plugins
• Configure gates between stages
• Time based vs manual approvals
• Visual editor and status monitoring

14. CodePipeline example
https://blogs.aws.amazon.com/application-management/blog/tag/CodePipeline

15. CodePipeline example
https://blogs.aws.amazon.com/application-management/blog/tag/CodePipeline

16. CodeDeploy

17. CodeDeploy
• Scale from 1 instance to thousands
• Deploy without downtime
• Centralize deployment control and monitoring
Staging
CodeDeployv1, v2, v3
Production
Dev
Application
revisions
Deployment groups

18. Step 1: Package your application (with an AppSpec file)
version: 0.0
os: linux
files:
- source: chef/
destination: /etc/chef/codedeploy
- source: target/hello.war
destination: /var/lib/tomcat6/webapps
hooks:
ApplicationStop:
- location: deploy_hooks/stop-tomcat.sh
BeforeInstall:
- location: deploy_hooks/install-chef.sh
AfterInstall:
- location: deploy_hooks/librarian-install.sh
ApplicationStart:
- location: deploy_hooks/chef-solo.sh
ValidateService:
- location: deploy_hooks/verify_service.sh

19. Step 1: Package your application (with an AppSpec file)
version: 0.0
os: linux
files:
- source: chef/
destination: /etc/chef/codedeploy
- source: target/hello.war
destination: /var/lib/tomcat6/webapps
hooks:
ApplicationStop:
- location: deploy_hooks/stop-tomcat.sh
BeforeInstall:
- location: deploy_hooks/install-chef.sh
AfterInstall:
- location: deploy_hooks/librarian-install.sh
ApplicationStart:
- location: deploy_hooks/chef-solo.sh
ValidateService:
- location: deploy_hooks/verify_service.sh

20. Step 1: Package your application (with an AppSpec file)
version: 0.0
os: linux
files:
- source: chef/
destination: /etc/chef/codedeploy
- source: target/hello.war
destination: /var/lib/tomcat6/webapps
hooks:
ApplicationStop:
- location: deploy_hooks/stop-tomcat.sh
BeforeInstall:
- location: deploy_hooks/install-chef.sh
AfterInstall:
- location: deploy_hooks/librarian-install.sh
ApplicationStart:
- location: deploy_hooks/chef-solo.sh
ValidateService:
- location: deploy_hooks/verify_service.sh

21. Step 2: Set up your target environments
Agent Agent Agent
Staging
Agent Agent
Agent Agent
Agent
Agent
Production
Deployment groupDeployment group
Group instances by:
• Auto Scaling group
• Amazon EC2 tag
• On-premises tag

22. Step 3: Deploy
aws deploy create-deployment
--application-name MyApp
--deployment-group-name TargetGroup
--s3-location bucket=MyBucket,key=MyApp.zip
AWS CLI & SDKs
AWS Console
CI / CD Partners
GitHub

23. Deployment config – Choose speed
v2 v2 v2 v2 v2 v2 v2 v2All-at-once
Min. healthy hosts = 0
v2 v2 v2 v2 v1 v1 v1 v1Half-at-a-time
Min. healthy hosts = 50%
v2 v2 v1 v1 v1 v1 v1 v1[Custom]
Min. healthy hosts = 75%
v2 v1 v1 v1 v1 v1 v1 v1One-at-a-time
Min. healthy hosts = 99%

24. Rolling update – Deploy without downtime
v1v1 v1
Load Balancer

25. Rolling update – Deploy without downtime
v1v2 v1
Load Balancer

26. Rolling update – Deploy without downtime
v2v2 v1
Load Balancer

27. Rolling update – Deploy without downtime
v2v2v2
Load Balancer

28. Rolling update – Deploy without downtime
v2v2 v2
Load Balancer

29. Health tracking – Catch deployment problems
v2v2 v2
Load Balancer

30. Health tracking – Catch deployment problems
v3 v2 v2Stop
Load Balancer

31. Health tracking – Catch deployment problems
v2v2 v2
Load Balancer
Rollback

32. Health tracking – Catch deployment problems
v2v2 v2
Load Balancer

33. Amazon
S3
Prod-subnet
Web
serve
r
App
serve
r
Amazon
RDS
ELB
Production
Dev-subnet
Auto Scaling group
Web
serve
r
Auto Scaling group
App
serve
r
Amazon
RDS
ELB
Development
Test-subnet
Web
serve
r
App
serve
r
Amazon
RDS
ELB
Test
CodePipleline CodeDeployCodeCommit
Services
- Highly available CloudWatch alarm
CloudTrail
CloudFormation
Elastic
Beanstalk

34. Online Labs & Training
Gain confidence and hands-on
experience with AWS.
Watch free Instructional Videos
and explore Self-Paced Labs
Instructor Led Classes
Learn how to design, deploy and
operate highly available, cost-
effective and secure applications
on AWS in courses led by qualified
AWS instructors
Validate your technical
expertise with AWS and use
practice exams to help you
prepare for AWS Certification
AWS Certification
More info at http://aws.amazon.com/training

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