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© 2015, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Nicolas Vautier
September 20th, 2016
Automating Software
Deployments with AWS
CodeDeploy
What we’ll cover
The value of Automation
GitHub line of products
AWS CodeDeploy
GitHub integration
The value of Automation(It’s not just about laziness)
We’ve already defined DevOps …
developers customers
releasetestbuild
plan monitor
delivery pipeline
feedback loop
Software development lifecycle
The problem, and its solution
The problem: Humans make mistakes!
• Releasing Code and/or Infrastructure
manually is wrought with human error – That
brings inconsistency
The solution: Automation!
• It bring consistency of outcome (sometimes
it even saves us time)
Setting up a delivery pipeline
Testing Staging Production
deploy
deploy
deploy
Source Build
release
GITHUB PLACEHOLDER
AWS CodeDeploy – What is it?
Managed Service to deploy code to a fleet of
machines
• Efficient
• Highly Scalable
• Reliable
Agent-based: Can deploy to EC2 instances as
well as on-premises instances
Flexible:
• Deploy any type of application
• Re-use existing scripts & tools
Integration with other parts of the developer
toolchain
AWS CodeDeploy - How does it work?
AWS Code Deploy – Components
Application: What you are
deploying – A container for
revisions
Revision:
A given
version of
your
application
Instance:
Target instance
for deployment
Deployment Groups: Group of
instances – A construct for
environment segregation
(Dev/QA/Prod, Blue/Green, A/B, etc.)
AppSpec File: Describes
actions that needs to be taken
pre- or post-deployment
Deployment: The
action of deploying a
new revision onto
instances
AWS Code Deploy – Application
• The Application is
the highest level
container
• Revisions will be
attached to the
Application
AWS Code Deploy – Revisions
Revisions are versions of your application
They can be uploaded to:
• Amazon S3
• GitHub
Revisions are deployed onto Deployment Groups, which are
groups of instance
• Verify your instance has an IAM instance profile and verify
the permissions allows it to participate in AWS CodeDeploy
deployments
• Tag the instance - or make sure it’s in an Auto Scaling Group
• Install the agent (can be automated)
• Verify the agent is running
AWS Code Deploy – Instance setup
AWS Code Deploy – Set up Deployment Groups
Group instances by:
• Auto Scaling Groups
• EC2 Tags
• On-Premise tags
Deploy to Deployment Groups
independently from each other
Could be used for “DevOps” constructs:
• Dev/QA/Prod/etc.
• Blue/Green
• A/B Testing
• Etc.
AWS Code Deploy – Lifecycle Events
AfterInstall
ApplicationStart
ValidateService
ApplicationStop
BeforeInstall
Agent
The agent goes through a
series of steps before and
after deployment
These steps allow you to
tightly control how your
application is deployed
For example, you may want
to stop your application
cleanly
AWS Code Deploy – AppSpec File
version: 0.0
os: linux
files:
- source: /
destination: /var/www/html/WordPress
hooks:
ApplicationStop:
- location: helper_scripts/stop_server.sh
BeforeInstall:
- location: deploy_hooks/install-apache.sh
- location: deploy_hooks/install-mysql.sh
AfterInstall:
- location: deploy_hooks /configure_app.sh
timeout: 30
runas: root
• AppSpec.yml sits in
your application’s
source directory
structure
• Allows you to defines
the hooks you want to
use.
AWS Code Deploy – Deployment Configuration
One-at-a-time
Half-at-a-time
All-at-once
Custom
AWS Code Deploy – Service Integrations – Now and
Future
Auto Scaling – Deploy revisions to an ASG
Elastic Load Balancing (ELB) – Coordinate a Deployment to
Instances behind an ELB.
Amazon S3 – Pull any package for deployment from S3
AWS CodeCommit – Deploy Revisions from AWS
CodeCommit repositories
AWS CodePipeline – Fully automate your deployment with
integration of AWS CodeDeploy and AWS CodePipeline
AWS Lambda – Trigger CodeDeploy to release from AWS
Lambda
AWS Code Deploy – Product Integrations
Demo Time!
GITHUB PLACEHOLDER
Thank You!
nvautier@amazon.com

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Automating Software Deployments with AWS CodeDeploy

  • 1. © 2015, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Nicolas Vautier September 20th, 2016 Automating Software Deployments with AWS CodeDeploy
  • 2. What we’ll cover The value of Automation GitHub line of products AWS CodeDeploy GitHub integration
  • 3. The value of Automation(It’s not just about laziness)
  • 4. We’ve already defined DevOps … developers customers releasetestbuild plan monitor delivery pipeline feedback loop Software development lifecycle
  • 5. The problem, and its solution The problem: Humans make mistakes! • Releasing Code and/or Infrastructure manually is wrought with human error – That brings inconsistency The solution: Automation! • It bring consistency of outcome (sometimes it even saves us time)
  • 6. Setting up a delivery pipeline Testing Staging Production deploy deploy deploy Source Build release
  • 8. AWS CodeDeploy – What is it? Managed Service to deploy code to a fleet of machines • Efficient • Highly Scalable • Reliable Agent-based: Can deploy to EC2 instances as well as on-premises instances Flexible: • Deploy any type of application • Re-use existing scripts & tools Integration with other parts of the developer toolchain
  • 9. AWS CodeDeploy - How does it work?
  • 10. AWS Code Deploy – Components Application: What you are deploying – A container for revisions Revision: A given version of your application Instance: Target instance for deployment Deployment Groups: Group of instances – A construct for environment segregation (Dev/QA/Prod, Blue/Green, A/B, etc.) AppSpec File: Describes actions that needs to be taken pre- or post-deployment Deployment: The action of deploying a new revision onto instances
  • 11. AWS Code Deploy – Application • The Application is the highest level container • Revisions will be attached to the Application
  • 12. AWS Code Deploy – Revisions Revisions are versions of your application They can be uploaded to: • Amazon S3 • GitHub Revisions are deployed onto Deployment Groups, which are groups of instance
  • 13. • Verify your instance has an IAM instance profile and verify the permissions allows it to participate in AWS CodeDeploy deployments • Tag the instance - or make sure it’s in an Auto Scaling Group • Install the agent (can be automated) • Verify the agent is running AWS Code Deploy – Instance setup
  • 14. AWS Code Deploy – Set up Deployment Groups Group instances by: • Auto Scaling Groups • EC2 Tags • On-Premise tags Deploy to Deployment Groups independently from each other Could be used for “DevOps” constructs: • Dev/QA/Prod/etc. • Blue/Green • A/B Testing • Etc.
  • 15. AWS Code Deploy – Lifecycle Events AfterInstall ApplicationStart ValidateService ApplicationStop BeforeInstall Agent The agent goes through a series of steps before and after deployment These steps allow you to tightly control how your application is deployed For example, you may want to stop your application cleanly
  • 16. AWS Code Deploy – AppSpec File version: 0.0 os: linux files: - source: / destination: /var/www/html/WordPress hooks: ApplicationStop: - location: helper_scripts/stop_server.sh BeforeInstall: - location: deploy_hooks/install-apache.sh - location: deploy_hooks/install-mysql.sh AfterInstall: - location: deploy_hooks /configure_app.sh timeout: 30 runas: root • AppSpec.yml sits in your application’s source directory structure • Allows you to defines the hooks you want to use.
  • 17. AWS Code Deploy – Deployment Configuration One-at-a-time Half-at-a-time All-at-once Custom
  • 18. AWS Code Deploy – Service Integrations – Now and Future Auto Scaling – Deploy revisions to an ASG Elastic Load Balancing (ELB) – Coordinate a Deployment to Instances behind an ELB. Amazon S3 – Pull any package for deployment from S3 AWS CodeCommit – Deploy Revisions from AWS CodeCommit repositories AWS CodePipeline – Fully automate your deployment with integration of AWS CodeDeploy and AWS CodePipeline AWS Lambda – Trigger CodeDeploy to release from AWS Lambda
  • 19. AWS Code Deploy – Product Integrations

Editor's Notes

  1. welcome everyone I’m Nico, SA Manager - today, we're going to talk about DevOps at Amazon, and give you an inside peak at how Amazon develops our web applications and services
  2. 2 SECTION: 1. Amazon own DevOps transformation – Changes to product delivery 2. Introduce 3 AWS services that are used internally You should walk away with a high level understanding of the different parts involved with a DevOps transformation, and an idea of how you could use our AWS Code services in your own DevOps processes
  3. Let’s look at amazon. We did not start that way that I just described
  4. SPEEED AND CONSISTENCY
  5. It’s not just about speed or not having to do things manually It’s about consistency. Consistency of processes bring consistency of outcomes
  6. WE SAW THIS DIAGRAM BEFORE
  7. Let’s look at amazon. We did not start that way that I just described
  8. Using AWS CodeDeploy you can perform a true rolling deployment. Each node will be updated sequentially by CodeDeploy. The next slide shows how this could be done using Deployment Configurations. We’ll see in the next presentation how AWS CodeDeploy allows us to implement and automate the “If things don’t look right, STOP” which we discussed earlier.
  9. Let’s look at amazon. We did not start that way that I just described