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© 2016, Amazon Web Services, Inc. or its Affiliates. All rights reserved.
Chris Munns, Business Development Manager - DevOps
April 2016
DevOps on AWS:
Deep Dive on Continuous Delivery
and the AWS Developer Tools
https://secure.flickr.com/photos/mgifford/4525333972
Why are we
here today?
Software moves faster today
Software creation and distribution is
easier and faster than ever:
• Startups can now take on giants with little to
no funding ahead of time
• Getting your software into the hands of
millions is a download away
• Your ability to move fast is paramount to your
ability to fight off disruption
Old software delivery model
The software delivery model has drastically changed
New software delivery model
What tools do you need to move fast?
Releasing software in this new software driven world
requires a number of things:
• Tools to manage the flow of your software development
release process
• Tools to properly test and inspect your code for defects
and potential issues
• Tools to deploy your applications
First, we need to
understand a little bit about
software release processes
https://www.flickr.com/photos/jurvetson/5201796697/
• Integration
tests with
other systems
• Load testing
• UI tests
• Penetration
testing
Release processes have four major phases
Source Build Test Production
• Check-in
source code
such as .java
files.
• Peer review
new code
• Compile code
• Unit tests
• Style checkers
• Code metrics
• Create
container
images
• Deployment
to production
environments
Release processes levels
Source Build Test Production
Continuous integration
Continuous delivery
Continuous deployment
Release Processes levels
Source Build Test Production
Continuous integration
Continuous deployment
Our focus today
Continuous delivery
Continuous Delivery Benefits
Improve developer
productivity
Find and address
bugs quickly
Deliver updates fasterAutomate the software
release process
A look back at
development at
Amazon..
https://secure.flickr.com/photos/pixelthing/15806918992/
2001
Development transformation at Amazon: 2001-2009
2009
monolithic
application + teams
microservices + 2 pizza teams
Things went much
better under this
model and teams
were releasing faster
than ever, but we felt
that we could still
improve.
In 2009, we
ran a study to
find out where
inefficiencies
might still exist
We were just waiting.
WaitWrite
Code WaitBuild
Code WaitDeploy
to Test
Deploy
to
Prod
We were just waiting.
WaitWrite
Code WaitBuild
Code WaitDeploy
to Test
Deploy
to
Prod
Mins Days Mins Days Mins Days Mins
We were just waiting.
WaitWrite
Code WaitBuild
Code WaitDeploy
to Test
Deploy
to
Prod
Weeks
Mins Days Mins Days Mins Days Mins
We were just waiting.
WaitWrite
Code WaitBuild
Code WaitDeploy
to Test
Deploy
to
Prod
Weeks
Mins Days Mins Days Mins Days Mins
We built tools to
automate our software
release process
https://secure.flickr.com/photos/lindseygee/5894617854/
Automated actions and
transitions; from check-
in to production
Development benefits:
• Faster
• Safer
• Simplification &
standardization
• Visualization of the
process
Pipelines
This has continued to work out really well:
In 2014:
• Thousands of service teams across Amazon
• Building microservices
• Practicing continuous delivery
• Many environments (staging, beta, production)
50 million deploys
This has continued to work out really well:
Every year at Amazon, we perform a survey of all our
software developers. The 2014 results found only one
development tool/service could be correlated statistically
with happier developers:
Our pipelines service!
continuous delivery == happier developers!
Continuous delivery service for fast and
reliable application updates
Model and visualize your software release
process
Builds, tests, and deploys your code every time
there is a code change
Integrates with 3rd party tools and AWS
AWS CodePipeline
Source
Source
GitHub
Build
JenkinsOnEC2
Jenkins
Deploy
JavaApp
Elastic Beanstalk
Pipeline
Stage
Action
Transition
CodePipeline
MyApplication
Source
Source
GitHub
Build
JenkinsOnEC2
Jenkins
Deploy
JavaApp
Elastic Beanstalk
NotifyDevelopers
Lambda
CodePipeline
MyApplication
Parallel actions
Source
Source
GitHub
Build
JenkinsOnEC2
Jenkins
Deploy
JavaApp
Elastic Beanstalk
NotifyDevelopers
Lambda
TestAPI
Runscope
CodePipeline
MyApplication
Sequential actions
8. Retrieve build artifact
EC2 instance
CodePipeline
Source
Source
GitHub
Build
JenkinsOnEC2
Jenkins
Deploy
JavaApp
Elastic Beanstalk
Source Artifact
S3
Build Artifact
S3
5. Get source artifact
1. Get Changes
6. Store build artifact
3. Poll for Job
4. Acknowledge Job
7. Put Success
9. Deploy build artifact
Elastic Beanstalk
Web container
Java App
MyApplication
We have a strong partner list, and it’s growing
Source Build Test Deploy
AWS service integrations
Source Invoke Logic Deploy
AWS Elastic BeanstalkAmazon S3
AWS CodeDeploy
AWS Lambda
Building your application
development release
pipeline
https://www.flickr.com/photos/seattlemunicipalarchives/12504672623/
DEMO!
Build & test your
application
https://secure.flickr.com/photos/spenceyc/7481166880
Building Your Code
“Building” code typically refers to languages that
require compiled binaries:
• .NET languages: C#, F#, VB.net, etc.
• Java and related languages: Java, Scala,
JRuby
• Go
• iOS languages: Swift, Objective-C
We also refer to the process of creating Docker
container images as “building” the image. EC2
No Building Required!
Many languages don’t require building. These
are considered interpreted languages:
• PHP
• Ruby
• Python
• Node.js
You can just deploy your code!
EC2
Testing Your Code
Testing is both a science and an art form!
Goals for testing your code:
• Want to confirm desired functionality
• Catch programming syntax errors
• Standardize code patterns and format
• Reduce bugs due to non-desired application
usage and logic failures
• Make applications more secure
Where to Start with Testing
1. Start with a generic syntax linter
• Are you missing brackets, commas, etc.?
2. Work on the top of the pyramid initially to
test user facing experience/functionality
• Are your pages rendering properly?
3. Move on to deeper UI/service checks
• Are these two components in sync?
4. Start unit tests against basic user functions
and move deeper into application logic
• Invest more time and effort here as you find
bugs or failures in production
Where to Focus Your Tests:
UI
Service
Unit 70%
20%
10%
Deploying your
applications
https://secure.flickr.com/photos/simononly/15386966677
Automates code deployments to any instance
Handles the complexity of updating your
applications
Avoid downtime during application deployment
Deploy to Amazon EC2 or on-premises
servers, in any language and on any operating
system
Integrates with 3rd party tools and AWS
AWS CodeDeploy
appspec.yml Example
version: 0.0
os: linux
files:
- source: /
destination: /var/www/html
permissions:
- object: /var/www/html
pattern: “*.html”
owner: root
group: root
mode: 755
hooks:
ApplicationStop:
- location: scripts/deregister_from_elb.sh
BeforeInstall:
- location: scripts/install_dependencies.sh
ApplicationStart:
- location: scripts/start_httpd.sh
ValidateService:
- location: scripts/test_site.sh
- location: scripts/register_with_elb.sh
appspec.yml Example
version: 0.0
os: linux
files:
- source: /
destination: /var/www/html
permissions:
- object: /var/www/html
pattern: “*.html”
owner: root
group: root
mode: 755
hooks:
ApplicationStop:
- location: scripts/deregister_from_elb.sh
BeforeInstall:
- location: scripts/install_dependencies.sh
ApplicationStart:
- location: scripts/start_httpd.sh
ValidateService:
- location: scripts/test_site.sh
- location: scripts/register_with_elb.sh
• Remove/add instance to ELB
• Install dependency packages
• Start Apache
• Confirm successful deploy
• More!
• Send application files to one
directory and configuration
files to another
• Set specific permissions on
specific directories & files
v2 v2 v2 v2 v2 v2
one at a time
half at a time
all at once
v2 v2 v2 v1 v1 v1
v2 v1 v1 v1 v1 v1 Agent Agent
Dev Deployment group
OR
Prod Deployment group
Agent
AgentAgent
Agent Agent
Agent
Choose Deployment Speed and Group
https://www.flickr.com/photos/spacex/16510243060/
Launching to
Production
Launching to Production
After you’ve built and tested your code and
hopefully gone through a few pre-production
deploys, its time for the real thing!
You’ll want think about:
• Impact to customers
• Impact to infrastructure
• Impact to business
How can we track these and communicate
deploys?
Extend AWS CodePipeline Using Custom Actions
Update tickets Provision resources
Update dashboards Send notifications Security scan
Mobile testing
Source
Source
GitHub
Build
JenkinsOnEC2
Jenkins
Deploy
Action
Custom Action
JavaApp
Elastic Beanstalk
MyApplication
CodePipeline
Deploy
JavaApp
Elastic Beanstalk Job Worker
3. Perform Job
1. Poll for Job
2. Acknowledge Job
4. Put Success
Amazon
EC2
With custom actions,
the job worker drives the interaction
between AWS CodePipeline
and other applications or services
Source
Source
GitHub
Build
JenkinsOnEC2
Jenkins
Deploy
MyAction
AWS Lambda
JavaApp
Elastic Beanstalk
2. Perform Job
1. Invoke Lambda function
3. PutJobSuccessResult
MyApplication
CodePipeline With AWS Lambda-based actions,
AWS CodePipeline
drives the integration with Lambda,
which then connects with other
applications or services
AWS
Lambda
3. PutJobSuccessResult w/
Continuation Token
4. Invoke Lambda function w/
Continuation Token
5. PutJobSuccessResult #3 & #4 repeat until no continuation
token is sent, signaling the action has
been completed (#5).
What Extension Method Should I Use?
Lambda Custom Action
Short-running tasks are easy to build Can perform any type of workload
Long-running tasks need more work Control over links displayed in console
Node.js, Python, and Java support Any language support
Runs on AWS Can run on-premises
No servers to provision or manage Requires compute resources
FIN, ACK
We’ve seen a quick run through today of the benefits of
continuous delivery on our software release process:
• Continuous integration (build/test) helps shrink our
feedback loop greatly
• We can get our software out in front of our users much
more rapidly
• By moving faster we can actually ensure better quality
• CodePipeline allows for integration with almost any
service or tool you can think of!
• Plus visualization of what’s going on!
Try it out today
Test out CodePipeline and spin up a full continuous
delivery pipeline using the Starter Kit
bit.ly/AWSCodeStarterKit
Resources to learn more:
• Continuous integration: https://aws.amazon.com/devops/continuous-integration/
• Continuous delivery: https://aws.amazon.com/devops/continuous-delivery/
• CodePipeline
• https://aws.amazon.com/codepipeline/
• https://aws.amazon.com/documentation/codepipeline/
• CodeDeploy
• https://aws.amazon.com/codedeploy/
• https://aws.amazon.com/documentation/codedeploy/
• https://github.com/awslabs/aws-codedeploy-samples
• Code Services Starter Kit: http://bit.ly/AWSCodeStarterKit
But wait, there’s more!
Thank you!

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DevOps on AWS: Deep Dive on Continuous Delivery and the AWS Developer Tools

  • 1. © 2016, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Chris Munns, Business Development Manager - DevOps April 2016 DevOps on AWS: Deep Dive on Continuous Delivery and the AWS Developer Tools
  • 3. Software moves faster today Software creation and distribution is easier and faster than ever: • Startups can now take on giants with little to no funding ahead of time • Getting your software into the hands of millions is a download away • Your ability to move fast is paramount to your ability to fight off disruption
  • 4. Old software delivery model The software delivery model has drastically changed New software delivery model
  • 5. What tools do you need to move fast? Releasing software in this new software driven world requires a number of things: • Tools to manage the flow of your software development release process • Tools to properly test and inspect your code for defects and potential issues • Tools to deploy your applications
  • 6. First, we need to understand a little bit about software release processes https://www.flickr.com/photos/jurvetson/5201796697/
  • 7. • Integration tests with other systems • Load testing • UI tests • Penetration testing Release processes have four major phases Source Build Test Production • Check-in source code such as .java files. • Peer review new code • Compile code • Unit tests • Style checkers • Code metrics • Create container images • Deployment to production environments
  • 8. Release processes levels Source Build Test Production Continuous integration Continuous delivery Continuous deployment
  • 9. Release Processes levels Source Build Test Production Continuous integration Continuous deployment Our focus today Continuous delivery
  • 10. Continuous Delivery Benefits Improve developer productivity Find and address bugs quickly Deliver updates fasterAutomate the software release process
  • 11. A look back at development at Amazon.. https://secure.flickr.com/photos/pixelthing/15806918992/
  • 12. 2001 Development transformation at Amazon: 2001-2009 2009 monolithic application + teams microservices + 2 pizza teams
  • 13. Things went much better under this model and teams were releasing faster than ever, but we felt that we could still improve.
  • 14. In 2009, we ran a study to find out where inefficiencies might still exist
  • 15. We were just waiting. WaitWrite Code WaitBuild Code WaitDeploy to Test Deploy to Prod
  • 16. We were just waiting. WaitWrite Code WaitBuild Code WaitDeploy to Test Deploy to Prod Mins Days Mins Days Mins Days Mins
  • 17. We were just waiting. WaitWrite Code WaitBuild Code WaitDeploy to Test Deploy to Prod Weeks Mins Days Mins Days Mins Days Mins
  • 18. We were just waiting. WaitWrite Code WaitBuild Code WaitDeploy to Test Deploy to Prod Weeks Mins Days Mins Days Mins Days Mins
  • 19. We built tools to automate our software release process https://secure.flickr.com/photos/lindseygee/5894617854/
  • 20. Automated actions and transitions; from check- in to production Development benefits: • Faster • Safer • Simplification & standardization • Visualization of the process Pipelines
  • 21. This has continued to work out really well: In 2014: • Thousands of service teams across Amazon • Building microservices • Practicing continuous delivery • Many environments (staging, beta, production) 50 million deploys
  • 22. This has continued to work out really well: Every year at Amazon, we perform a survey of all our software developers. The 2014 results found only one development tool/service could be correlated statistically with happier developers: Our pipelines service! continuous delivery == happier developers!
  • 23. Continuous delivery service for fast and reliable application updates Model and visualize your software release process Builds, tests, and deploys your code every time there is a code change Integrates with 3rd party tools and AWS AWS CodePipeline
  • 27. 8. Retrieve build artifact EC2 instance CodePipeline Source Source GitHub Build JenkinsOnEC2 Jenkins Deploy JavaApp Elastic Beanstalk Source Artifact S3 Build Artifact S3 5. Get source artifact 1. Get Changes 6. Store build artifact 3. Poll for Job 4. Acknowledge Job 7. Put Success 9. Deploy build artifact Elastic Beanstalk Web container Java App MyApplication
  • 28. We have a strong partner list, and it’s growing Source Build Test Deploy
  • 29. AWS service integrations Source Invoke Logic Deploy AWS Elastic BeanstalkAmazon S3 AWS CodeDeploy AWS Lambda
  • 30. Building your application development release pipeline https://www.flickr.com/photos/seattlemunicipalarchives/12504672623/
  • 31. DEMO!
  • 32. Build & test your application https://secure.flickr.com/photos/spenceyc/7481166880
  • 33. Building Your Code “Building” code typically refers to languages that require compiled binaries: • .NET languages: C#, F#, VB.net, etc. • Java and related languages: Java, Scala, JRuby • Go • iOS languages: Swift, Objective-C We also refer to the process of creating Docker container images as “building” the image. EC2
  • 34. No Building Required! Many languages don’t require building. These are considered interpreted languages: • PHP • Ruby • Python • Node.js You can just deploy your code! EC2
  • 35. Testing Your Code Testing is both a science and an art form! Goals for testing your code: • Want to confirm desired functionality • Catch programming syntax errors • Standardize code patterns and format • Reduce bugs due to non-desired application usage and logic failures • Make applications more secure
  • 36. Where to Start with Testing 1. Start with a generic syntax linter • Are you missing brackets, commas, etc.? 2. Work on the top of the pyramid initially to test user facing experience/functionality • Are your pages rendering properly? 3. Move on to deeper UI/service checks • Are these two components in sync? 4. Start unit tests against basic user functions and move deeper into application logic • Invest more time and effort here as you find bugs or failures in production
  • 37. Where to Focus Your Tests: UI Service Unit 70% 20% 10%
  • 39. Automates code deployments to any instance Handles the complexity of updating your applications Avoid downtime during application deployment Deploy to Amazon EC2 or on-premises servers, in any language and on any operating system Integrates with 3rd party tools and AWS AWS CodeDeploy
  • 40. appspec.yml Example version: 0.0 os: linux files: - source: / destination: /var/www/html permissions: - object: /var/www/html pattern: “*.html” owner: root group: root mode: 755 hooks: ApplicationStop: - location: scripts/deregister_from_elb.sh BeforeInstall: - location: scripts/install_dependencies.sh ApplicationStart: - location: scripts/start_httpd.sh ValidateService: - location: scripts/test_site.sh - location: scripts/register_with_elb.sh
  • 41. appspec.yml Example version: 0.0 os: linux files: - source: / destination: /var/www/html permissions: - object: /var/www/html pattern: “*.html” owner: root group: root mode: 755 hooks: ApplicationStop: - location: scripts/deregister_from_elb.sh BeforeInstall: - location: scripts/install_dependencies.sh ApplicationStart: - location: scripts/start_httpd.sh ValidateService: - location: scripts/test_site.sh - location: scripts/register_with_elb.sh • Remove/add instance to ELB • Install dependency packages • Start Apache • Confirm successful deploy • More! • Send application files to one directory and configuration files to another • Set specific permissions on specific directories & files
  • 42. v2 v2 v2 v2 v2 v2 one at a time half at a time all at once v2 v2 v2 v1 v1 v1 v2 v1 v1 v1 v1 v1 Agent Agent Dev Deployment group OR Prod Deployment group Agent AgentAgent Agent Agent Agent Choose Deployment Speed and Group
  • 44. Launching to Production After you’ve built and tested your code and hopefully gone through a few pre-production deploys, its time for the real thing! You’ll want think about: • Impact to customers • Impact to infrastructure • Impact to business How can we track these and communicate deploys?
  • 45. Extend AWS CodePipeline Using Custom Actions Update tickets Provision resources Update dashboards Send notifications Security scan Mobile testing
  • 46. Source Source GitHub Build JenkinsOnEC2 Jenkins Deploy Action Custom Action JavaApp Elastic Beanstalk MyApplication CodePipeline Deploy JavaApp Elastic Beanstalk Job Worker 3. Perform Job 1. Poll for Job 2. Acknowledge Job 4. Put Success Amazon EC2 With custom actions, the job worker drives the interaction between AWS CodePipeline and other applications or services
  • 47. Source Source GitHub Build JenkinsOnEC2 Jenkins Deploy MyAction AWS Lambda JavaApp Elastic Beanstalk 2. Perform Job 1. Invoke Lambda function 3. PutJobSuccessResult MyApplication CodePipeline With AWS Lambda-based actions, AWS CodePipeline drives the integration with Lambda, which then connects with other applications or services AWS Lambda 3. PutJobSuccessResult w/ Continuation Token 4. Invoke Lambda function w/ Continuation Token 5. PutJobSuccessResult #3 & #4 repeat until no continuation token is sent, signaling the action has been completed (#5).
  • 48. What Extension Method Should I Use? Lambda Custom Action Short-running tasks are easy to build Can perform any type of workload Long-running tasks need more work Control over links displayed in console Node.js, Python, and Java support Any language support Runs on AWS Can run on-premises No servers to provision or manage Requires compute resources
  • 49. FIN, ACK We’ve seen a quick run through today of the benefits of continuous delivery on our software release process: • Continuous integration (build/test) helps shrink our feedback loop greatly • We can get our software out in front of our users much more rapidly • By moving faster we can actually ensure better quality • CodePipeline allows for integration with almost any service or tool you can think of! • Plus visualization of what’s going on!
  • 50. Try it out today Test out CodePipeline and spin up a full continuous delivery pipeline using the Starter Kit bit.ly/AWSCodeStarterKit
  • 51. Resources to learn more: • Continuous integration: https://aws.amazon.com/devops/continuous-integration/ • Continuous delivery: https://aws.amazon.com/devops/continuous-delivery/ • CodePipeline • https://aws.amazon.com/codepipeline/ • https://aws.amazon.com/documentation/codepipeline/ • CodeDeploy • https://aws.amazon.com/codedeploy/ • https://aws.amazon.com/documentation/codedeploy/ • https://github.com/awslabs/aws-codedeploy-samples • Code Services Starter Kit: http://bit.ly/AWSCodeStarterKit But wait, there’s more!