The document provides an overview of AWS CI/CD services and their components, including CodeCommit, CodeBuild, CodeDeploy, and CodePipeline, highlighting their roles in the software release process. It covers use cases, infrastructure rollouts, debugging, and rollback strategies, as well as pricing information. Key features of the services include secure source control, automated deployments, and integration with third-party tools for enhanced efficiency in development operations.

1. CI CD using AWS Developer Tools
Bhuvaneswari Subramani
Oct 2019

2. Bhuvaneswari Subramani (Bhuvana)
Director, Engineering Operations, Infor
AWS Community Hero
Currently working on Cloud Computing, DevOps &, Performance QA
https://installjournal.blogspot.com

3. Agenda
• AWS CI CD Services Overview
• Use case leveraging AWS CI CD Services
• Infrastructure Rollouts + WebApp Deployment
• buildspec, appspec
• Debugging Build & Deployment
• Rollback Deployments
• Metrics to gauge DevOps

4. AWS CI CD Services

5. Software Release Phases
Source Build Test Deploy
Testing
• Integration Test
• UI Test
• Load Test
• Penetration Tests
Deployment
Deployment to Prod
Environments
Code Management
• Check-in source code
• Peer review new code
• Version Control
• Multi-enterprise
Package Creation
• Compile Code
• Run Unit Tests
• Create Container Images
Continuous Integration
Continuous Delivery

6. Software Release Phases vs AWS CI CD Services
Source Build Test Deploy
AWS CodeCommit AWS CodeBuild Third Party Tooling AWS CodeDeploy
AWS
CodePipeline

7. Plight of the
self-managed
source control repo

8. AWS CodeCommit
• Secure, Scalable, and managed Git Source
control
• Use Standard git tools
• Scalability, availability and durability of Amazon
S3 & Amazon Dynamo DB
• No repo size limit
• Post commit hooks to call out to SNS / Lambda

9. AWS CodeCommit features
Visualizer Compare Pull Request

10. AWS CodeCommit Visualizer

11. When there is no
CI CD?

12. AWS Code Build
• Fully managed build service that compiles
source code, run tests, and produces
software packages
• Scales continuously and processes multiple
builds
• You can provide custom build environments
suited to your needs via Docker images
• Only pay by the minute for the compute
resources you use
• Launched with Services like CodePipeline or
Jenkins

13. AWS CodeBuild Project
•Where to get the
source code?
Which build
environment to use?
Where to store the
artifact?
Where to store the
build logs?

14. AWS CodeDeploy
• Automates code deployments to EC2 / On-prem
• Handles the complexity of updating your
applications
• Minimal deployment downtime
• Rollback automatically, if failure detected
• Supports varied languages and operating systems
• Integrates with third-party tools like Jenkins

15. AWS CodeDeploy Components
Revision 1
Application
Revision 2
Revision 3
Revision n
Deployment Group
Deployments
Deploy
Config
appspec
.yml
In-place
deployment

16. AWS CodeDeploy
Revision 1
Application
Revision 2
Revision 3
Revision n
Deployment Group
Deployments
Deploy
Config
appspec
.yml
In-place
deployment
What to
deploy?
Where to
deploy?
How to
deploy?

17. AWS CodePipeline
• Continuous delivery service for fast and reliable
application updates
• Model and visualize your software release
process
• Builds, tests and deploys your code on every
commit
• Integrates with third-party tools

18. AWS CodePipeline
Action Action
Stage
Action Action
Stage
Action
Transition

19. Quick look @ pricing*
• AWS CodeCommit: Anyone with an AWS account can get started with
AWS CodeCommit for free. Your account gets 5 active users per month for
free (within limits), after which you pay $1 per additional active user per
month.
• AWS CodeBuild: Only pay by minute for the compute resources you use.
• AWS CodeDeploy: There is no additional charge for code deployments to
Amazon EC2 instances through AWS CodeDeploy. You pay $0.02 per on-
premises instance update using AWS CodeDeploy.
• AWS CodePipeline: You pay only for what you use. AWS CodePipeline
costs $1 per active pipeline* per month. To encourage experimentation,
pipelines are free for the first 30 days after creation.
* Pricing as on Sep 2019

20. AWS CI CD Workflow

21. Use Case
• IaC using Cloud Formation Template
• Create an EC2 Instance
• Install CodeDeploy agent through UserData
• Add specific tag `Name = WebApp`
• Deploy Web Application
• Install Tomcat & deploy WebApp through instructions from
appspec.yml

23. Source Build Deploy

24. Infrastructure Rollout +
Web App Deployment

25. buildspec.yml & appspec.yml files

26. buildspec.yml
buildspec.yml from Web Application Deployments

27. buildspec.yml
buildspec.yml from Web Application Deployments
Create & store an artifact in S3

28. appspec.yml
appspec.yml from Web Application Deployments

29. appspec.yml
Files to be copied to the
instance during
deployment’s install
appspec.yml from Web Application Deployments

30. Debugging, Rollback & Metrics

31. Debugging Builds
• Enable Logging in CloudWatch / S3

32. Debugging Builds
• Enable Logging in CloudWatch / S3
• Local Build Support for AWS CodeBuild
• Get the AWS CodeBuild docker image file from AWS Github
• Build the CodeBuild image locally
• Setup CodeBuild local Agent
• Use the local agent to build your project

33. Debugging Deployments
• CodeDeploy agent generates agent, updater & deployment logs
• Send them to CloudWatch for debugging
• CodeDeploy agent logs [EC2/On-prem only]
• /var/log/aws/codedeploy-agent/codedeploy-agent.log

34. Debugging Deployments
• CodeDeploy agent generates agent, updater & deployment logs
• Send them to CloudWatch for debugging
• CodeDeploy agent logs [EC2/On-prem only]
• /var/log/aws/codedeploy-agent/codedeploy-agent.log
• CodeDeploy deployment logs
• /opt/codedeploy-agent/deployment-root/deployment-logs/
• CodeDeploy updater logs
• /tmp/codedeploy-agent.update.log

35. Rollback Deployments
• Rollback in AWS is actually ====>
• Configure re-deploy by enabling
• Code deploy -> Rollbacks >
• Code deploy -> ‘Automatic Rollbacks’
• Deployment Configuration to enable rollback based on healthy instances

36. Metrics to gauge DevOps
• Rapid Delivery with Increased Efficiency
• Increased Feature releases with reduced TTM
• Quicker feedback (system/user) to teams & stake
holders
• Greater % of defects detected in testing (Unit & SIT
Cycles)
• Ticket / Incidents volume reduction in PreProd & Prod
• High Availability
• Elastic & Scalable Infrastructure

37. DevOps Journey begins
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