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Day 52: Your CI/CD pipeline on AWS - Part 3 🚀 ☁

Day 52: Your CI/CD pipeline on AWS - Part 3 🚀 ☁

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sutish pradhan
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Table of contents

🙏 Introduction:

In this blog, we will deploy a CI/CD pipeline on AWS using tools such as CodeCommit, CodeBuild, CodeDeploy, CodePipeline, and S3. This is Part 3.

🔶What is CodeDeploy ?

  • AWS CodeDeploy is a deployment service that automates application deployments to Amazon EC2 instances, on-premises instances, serverless Lambda functions, or Amazon ECS services.

  • CodeDeploy can deploy application content that runs on a server and is stored in Amazon S3 buckets, GitHub repositories, or Bitbucket repositories. It can also deploy a serverless Lambda function. There is no need to make changes to your existing code before using CodeDeploy.

🎯Task: 1

  1. Read about Appspec.yaml file for CodeDeploy

The application specification file (AppSpec file) is a YAML -formatted or JSON-formatted file used by CodeDeploy to manage a deployment. The AppSpec file for an EC2/On-Premises deployment must be named appspec. yml or appspec. yaml

  1. Deploy index.html file on EC2 machine using nginx

Create Application

  • Navigate to CodeDeploy and click on Create Application.

  • Provide an application name, select the compute platform as EC2 instance, and click on Create application

  • Application created

Create Deployment group in application of CodeDeploy

  • Go to IAM role and create one role with below permission policies

  • Go to EC2 instance and create an instance

  • Now go to codedeploy application and click on create deployment group

  • Enter group name and select previously created role

  • Select In place and enter name of EC2 instance which we created

  • Deployment group created

  1. Setup a CodeDeploy agent in order to deploy code on EC2

Manually Set Up a CodeDeploy Agent

  • you have to setup a CodeDeploy agent in order to deploy code on EC2

  • Connect to EC2 instance and create install.sh file and enter below script and run it

  •     #!/bin/bash 
    # This installs the CodeDeploy agent and its prerequisites on Ubuntu 22.04.  
    sudo apt-get update 
    sudo apt-get install ruby-full ruby-webrick wget -y 
    cd /tmp 
    wget https://aws-codedeploy-us-west-2.s3.us-west-2.amazonaws.com/releases/codedeploy-agent_1.3.2-1902_all.deb 
    mkdir codedeploy-agent_1.3.2-1902_ubuntu22 
    dpkg-deb -R codedeploy-agent_1.3.2-1902_all.deb codedeploy-agent_1.3.2-1902_ubuntu22 
    sed 's/Depends:.*/Depends:ruby3.0/' -i ./codedeploy-agent_1.3.2-1902_ubuntu22/DEBIAN/control 
    dpkg-deb -b codedeploy-agent_1.3.2-1902_ubuntu22/ 
    sudo dpkg -i codedeploy-agent_1.3.2-1902_ubuntu22.deb 
    systemctl list-units --type=service | grep codedeploy 
    sudo service codedeploy-agent status

  • EC2 doesn't have a role policy that allows it to retrieve data from S3 for CodeDeploy. Therefore, create a new service role to enable communication between EC2 and S3, as well as CodeDeploy.

Attach that service role to EC2 instance

  • Select the EC2 instance, then in the Actions menu, navigate to Security and click on Modify IAM role.

  • Select the role that we created in above step & click on Update IAM role

  • Restart code-deploy agent

🎯Task: 2

  1. Add appspec.yaml file to CodeCommit Repository and complete the deployment process

  • Create appspec.yml file

  • Create a script folder. Inside the script folder, create install_nginx.sh and start_nginx.sh.

  • Push this file to code-commit repository

  • Click on Strat build

Deployment process

  • Navigate to CodeDeploy and click on the application we created, then proceed to the Deployments section & Click on Create deployment.

  • Select the Deployment group name, enter the path, and click on Create deployment.

  • Deployment completed successfully

  • Copy the public IP address of the instance and paste it into your browser. This will display the output of the index.html file.

👋 Conclusion :

In this blog, we have covered CodeDeploy, Appspec.yaml & we have demonstrate how to add appspec.yaml file to CodeCommit Repository and complete the deployment process, in the next blog we will cover some advanced AWS Topics.

Thank you for reading!

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