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Wilson Mar

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Developer Operations for you


This tutorial focuses on continuous integration and deployment.

Amazon defines “DevOps is the combination of cultural philosophies, practices, and tools that increases an organization’s ability to deliver applications and services at high velocity.”

CodeCommit, CodePipeline, Code Deploy

aws devops 201606-650x209-i11

Setup instances

  1. In IAM Service, create Role “codedeploy”.

  2. Create CDInstanceRole

  3. In Compute EC2 service, launch Amazon Linux, t2.micro, 2 instances, using the role created above. In Advanced Details, paste script from https://gist.github.com/mikepfeiffer/4d9386afdcceaf29493a

    EC2 UserData script to install CodeDeploy agent:

    yum install -y aws-cli
    cd /home/ec2-user/
    aws s3 cp 's3://aws-codedeploy-us-east-1/latest/codedeploy-agent.noarch.rpm' . --region us-east-1
    yum -y install codedeploy-agent.noarch.rpm

    CUSTOMIZE folder, region mentionedtwice.

  4. Tag instances with name “Dev” for Development.
  5. Add a Security Group Role for HTTP. No SSH.

AWS CodeDeploy Setup

  1. Got to AWS CodeDeploy service, Get Started Now.
  2. Custom deployment.
  3. Specify an Application Name and Deployment Group Name according to your organization’s naming standards.
  4. Select Tag Type “Amazon EC2” value “Dev” specified for 2 instances in a step above.
  5. Deployment Config - AllAtOnce (instead of Half at a time).
  6. No Triggers.
  7. Select a Service Role ARN defined in a prior step. Create Application.

    The Console provides code to deploy from a S3 bucket.

AWS CodePipeline

  1. Go to AWS CodePipeline service, Get Started.
  2. Specify a Pipeline name according to your organization’s naming standards. (“Pipeline1”)
  3. Select Source Provider: GitHub (NOT Amazon S3). Click Connect to GitHub.
  4. Select a Repository and Branch from the GitHub account authenticated.
  5. Select Deployment provider AWS CodeDeploy (NOT AWS Elastic Beanstalk).
  6. Supply AWS CodeDeploy Application Name and Deployment group from earlier.
  7. Do not define Build Stage (until we have a build).
  8. Create Service Role using default name “AWS-CodePipeline-Service”. View Policy Document to review Actions allowed the role:
  9. Review Pipeline summary.

View app deployed

  1. In EC2, get the Public DNS address (such as “ec2-11-222-177-132-us-west-2-compute.amazonaws.com”).
  2. Paste URL in an internet browser.

    It should respond with “Congratualations”.

Make Change

  1. Commit.
  2. Detect a change.
  3. View app deployed again.

  4. Create a Deployment Group or Autoscaling Group
  5. CodePipeline

  6. appspec.yml file in the root folder in source code repo

    version: 0.0
    os: linux
             - source: /index.html
     destination: /var/www/html/
     - location: scripts/install_dependencies
       timeout: 300
       runas: root
     - location: scripts/start_server
       timeout: 300
       runas: root
     - location: scripts/stop_server
       timeout: 300
       runas: root
  7. For sample application, it’s just a single index.html file containing CSS, no JavaScript.


  8. Install dependencies

    yum install -y httpd
  9. Start server

    service httpd start
  10. Stop server:

    isExistApp = `pgrep httpd`
    if [[ -n  $isExistApp ]]; then
        service httpd stop        

using AWS Code Services

CodeDeploy agent in EC2 Deploy Group

  • Amazon Route 53 globomantics.com

  • https://github.com/mikepfeiffer/PowerShell


Netflix/aminator open-sourced their Python tool for creating EBS-backed AMIs. It’s described in this blog from 2013.

“We knew that application startup latency would be very important, especially during scale-up operations.”

Building a server from installers in S3 can be time-consuming because it take so much I/O.

To save time, their strategy is to create a Base AMI by taking a snapshot of the root volume and make it available as an EBS volume that can be used to launch an EC2 instance.

This is simpler than Packer from Hashicorp.

More on Amazon

This is one of a series on Amazon:

More resources

Justin Manga (@jmenga, pseudo.co.de) in video course Continuous Delivery using Docker and Ansible shows learners how to create a Python app, then Jenkins 2 Pipeline plugin in a container using Cloud Formation files. deploy to a EC2 Container Services holding Debian instances.

Since ECS has Group of 497:

RUN groupadd -g ${DOCKER_GID:-497} docker
  • http://blog.serverbooter.com/blog/2013/10/24/simple-clouformation-with-multiple-aws-accounts/

More on DevOps

This is one of a series on DevOps:

  1. DevOps_2.0
  2. ci-cd (Continuous Integration and Continuous Delivery)
  3. User Stories for DevOps

  4. Git and GitHub vs File Archival
  5. Git Commands and Statuses
  6. Git Commit, Tag, Push
  7. Git Utilities
  8. Data Security GitHub
  9. GitHub API
  10. TFS vs. GitHub

  11. Choices for DevOps Technologies
  12. Java DevOps Workflow
  13. AWS DevOps (CodeCommit, CodePipeline, CodeDeploy)
  14. AWS server deployment options

  15. Digital Ocean
  16. Cloud regions
  17. AWS Virtual Private Cloud
  18. Azure Cloud Onramp
  19. Azure Cloud
  20. Azure Cloud Powershell

  21. Packer automation to build Vagrant images
  22. Terraform multi-cloud provisioning automation

  23. Powershell Ecosystem
  24. Powershell on MacOS
  25. Powershell Desired System Configuration

  26. Jenkins Server Setup
  27. Jenkins Plug-ins
  28. Jenkins Freestyle jobs
  29. Jenkins2 Pipeline jobs using Groovy code in Jenkinsfile

  30. Dockerize apps
  31. Docker Setup
  32. Docker Build

  33. Maven on MacOSX

  34. Ansible

  35. MySQL Setup

  36. SonarQube static code scan

  37. API Management Microsoft
  38. API Management Amazon

  39. Scenarios for load