Simple example of how to deploy Node.js application to AWS EC2 instance using AWS CodeDeploy and AWS CodePipeline services

1.1. Go to Create IAM Role Page

1.2. Choose EC2

1.3. Find and choose AmazonEC2RoleforAWSCodeDeploy policy

1.4. Add a name for the role and create

1.1. Go to Create IAM Role Page

1.2. Choose CodeDeploy

1.3. You will see AWSCodeDeployRole policy

1.4. Add a name for the role and create

1.1. Go to Launch EC2 Instance Page

1.2. Choose an Amazon Machine Image (AMI)

1.3. Add an IAM role that you have created in step #1 to the instance

1.4. The OS should be the same that you have in appspec.yml file's os

1.5. Add the user data, to run on instance launching step

#!/bin/bash
sudo yum -y update
sudo yum -y install ruby
sudo yum -y install wget
cd /home/ec2-user
wget https://aws-codedeploy-us-east-1.s3.amazonaws.com/latest/install
sudo chmod +x ./install
sudo ./install auto

1.6. Add a tag Name: YOUR_INSTANCE_NAME_HERE

1.6. Launch the instance

1.1. Go to Create Application Page

1.2. Add an Application name and choose an EC2 as a Compute platform

1.2. Create deployment group

1.2. As a Service role choose the role that you have created in step #2

1.2. As an Environment configuration choose Amazon EC2 instances or what you need

1.2. Turn off the Load balancer if you don't need it

1.1. Go to Create CodePipeline Page

1.2. Add an Pipeline name

1.3. New Service role can be generated automatically, or, you can choose an existing one

1.2. As a Source provider choose GitHub version 2, or the source which you need(The steps below was exposed for the GitHub source)

1.3. Create a connection with GitHub, after choose Repository name and Branch name

1.4. Turn off Start the pipeline on source code change, if you don't need it. in that case you will run the pipeline manually

1.5. Skip Add build stage stage

1.5. As a Deploy provider choose AWS CodeDeploy, choose the region and feel the Application name and Deployment group by the values that you have created in step #4

1.5. Review and create CodePipeline

After you can run the pipeline manually, by click on the Release button on Pipeline's page. Or it will be run automatically if you are using Start the pipeline on source code change.

sudo service codedeploy-agent status

/opt/codedeploy-agent/deployment-root/deployment-logs/codedeploy-agent-deployments.log

• Author - Edgar Sargsyan
• Website - https://sargsyan.dev
• Twitter - @cybereternal

License Summary This sample code is made available under a modified MIT license. See the LICENSE file.