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In this guide, we explore how to perform integration testing on an AWS EC2 instance by dynamically retrieving the instance’s public IP address or DNS name. This approach removes the need for hard-coded URLs in your Jenkins pipeline, ensuring a more flexible and secure deployment process.

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Overview

Previously, our Docker image was deployed to an Amazon Elastic Compute Cloud (EC2) instance. Now, we improve upon that setup by integrating dynamic fetching of instance details using the AWS CLI. This enables our Jenkins pipeline to extract the correct endpoint and validate our application’s responsiveness through automated tests.

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Testing the Running Docker Container

Before proceeding with dynamic integration testing, you might want to confirm that your Docker container is running on the EC2 instance. Execute the following command on your instance: 
ubuntu@ip-172-31-25-250:~$ sudo docker ps
CONTAINER ID        IMAGE                                               NAMES
cab883634d99        siddharth67/solar-system:537efda2bdf4113ff4f77c5ecaf  solar-system
0.0.0.0:3000->3000/tcp   solar-system
This output shows that the container is active and its port mapping is correct.

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Static vs. Dynamic Configuration

In earlier Jenkins pipeline configurations, the deployment stages used static details: 
stage('Code Coverage') {
}

stage('SAST - SonarQube') {
}

stage('Build Docker Image') {
}

stage('Trivy Vulnerability Scanner') {
}

stage('Push Docker Image') {
}

stage('Deploy - AWS EC2') {
    when {
        branch 'feature/*'
    }
}
To enhance this process, we now use a shell script that fetches EC2 instance details dynamically. This adjustment not only adds flexibility but also minimizes manual errors.

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Creating the Shell Script for Integration Testing

Within your Git repository’s root directory, create a new shell script named integration-testing-ec2.sh and paste one of the versions below.
Ensure that you have AWS CLI version 2.17.56 or later and the jq command-line JSON processor installed on your system.

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Version 1: Fetching Using Network Interface Details

#!/bin/bash
echo "Integration test......."

aws --version

Data=$(aws ec2 describe-instances)
echo "Data - $Data"
URL=$(aws ec2 describe-instances | jq -r '.Reservations[].Instances[] | select(.Tags[].Value == "dev-deploy") | .NetworkInterfaces[].Association.PublicIp')
echo "URL Data - $URL"

if [[ "$URL" != '' ]]; then
    http_code=$(curl -s -o /dev/null -w "%{http_code}" http://$URL:3000/live)
    echo "http_code - $http_code"
    planet_data=$(curl -s -XPOST http://$URL:3000/planet -H "Content-Type: application/json" -d '{"id": "3"}')
    echo "planet_data - $planet_data"
    planet_name=$(echo $planet_data | jq .name -r)
    echo "planet_name - $planet_name"
    if [[ "$http_code" -eq 200 && "$planet_name" == "Earth" ]]; then
        echo "HTTP Status Code and Planet Name Tests Passed"
    else
        echo "One or more test(s) failed"
        exit 1
    fi
else
    echo "Could not fetch a token/URL; Check/Debug line 6"
    exit 1
fi

​
Version 2: Fetching Using the Public IP Address Directly

#!/bin/bash
echo "Integration test........"
aws --version

Data=$(aws ec2 describe-instances)
echo "Data - $Data"
URL=$(aws ec2 describe-instances | jq -r '.Reservations[].Instances[] | select(.Tags[].Value == "dev-deploy") | .PublicIpAddress')
echo "URL Data - $URL"

if [[ "$URL" != '' ]]; then
    http_code=$(curl -s -o /dev/null -w "%{http_code}" http://$URL:3000/live)
    echo "http_code - $http_code"
    planet_data=$(curl -s -XPOST http://$URL:3000/planet -H "Content-Type: application/json" -d '{"id": "3"}')
    echo "planet_data - $planet_data"
    planet_name=$(echo $planet_data | jq -r .name)
    echo "planet_name - $planet_name"
    if [[ "$http_code" -eq 200 && "$planet_name" == "Earth" ]]; then
        echo "HTTP Status Code and Planet Name Tests Passed"
    else
        echo "One or more test(s) failed"
        exit 1
    fi
fi

​
How the Script Operates

  1. AWS CLI Execution
    The script initiates by running the aws ec2 describe-instances command to retrieve details about the instances.
  2. Parsing Instance Information
    It then filters for the EC2 instance tagged as "dev-deploy" using jq to extract either the public IP address or DNS name.
  3. Endpoint Testing
    Once the URL is identified, two tests follow:
    • A GET request to /live verifies service availability.
    • A POST request to /planet with JSON data ({"id": "3"}) retrieves planet data.
  4. Validation
    The script examines whether the HTTP status code is 200 and if the retrieved planet name is "Earth". If both conditions are met, the tests pass; otherwise, the script exits with an error.

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Sample JSON Response

Below is a representative JSON response from the describe-instances command. Although the response contains multiple details, only the public DNS or public IP is used in our script: 
{
    "PrivateDnsName": "ip-10-0-0-157.us-east-2.compute.internal",
    "PrivateIpAddress": "10.0.0.157",
    "ProductCodes": [],
    "PublicDnsName": "ec2-34-253-223-13.us-east-2.compute.amazonaws.com",
    "PublicIpAddress": "34.253.223.13",
    "State": {
        "Code": 16,
        "Name": "running"
    },
    "StateTransitionReason": "",
    "SubnetId": "subnet-04c361d18e83fcab",
    "VpcId": "vpc-123456789abcdef0",
    "Architecture": "x86_64",
    ...
    "NetworkInterfaces": [
        {
            "Association": {
                "PublicDnsName": "ec2-34-253-223-13.us-east-2.compute.amazonaws.com"
            }
        }
    ]
}

​
Invoking the Shell Script via Jenkins Pipeline

Integrate the testing script into your Jenkins pipeline by adding a dedicated stage. Update your Jenkinsfile as follows: 
stage('Integration Testing - AWS EC2') {
    when {
        branch 'feature/*'
    }
    steps {
        // Optionally print environment variables to verify branch details
        sh 'printenv | grep -i branch'
        // Use the AWS Pipeline Steps plugin to set AWS credentials and region
        withAWS(credentials: 'aws-s3-ec2-lambda-creds', region: 'us-east-2') {
            sh '''
                bash integration-testing-ec2.sh
            '''
        }
    }
}
Make sure that your Jenkins controller node has the necessary AWS credentials and that the AWS CLI is properly configured with the correct region. You can verify the installation by running aws --version.

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AWS CLI Authentication and Jenkins Credentials

The AWS CLI requires a valid AWS Access Key, Secret Key, and defined region. Credentials can be managed on the Jenkins Dashboard. Additionally:
  • In Jenkins, view stored credentials for services (e.g., MongoDB, Gitea, DockerHub).
  • Use a snippet generator for configuring AWS Pipeline Settings, specifying your region (e.g., us-east-2).

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Pipeline Execution and Log Verification

When the Jenkins pipeline runs, it will build the Docker image, deploy it to the AWS EC2 instance, and execute the integration tests. The console logs might contain output similar to: 
+ printenv
+ grep -i branch
GIT_BRANCH=feature/enabling-cid
BRANCH_NAME=feature/enabling-cid
+ bash integration-testing-ec2.sh
Integration test...
aws --cli/ 17.56 Python/3.12.6 Linux/6.8.0-45generic ...
Data : { "Reservations" : [ ... ] }
...
planet_data = {"id":"64de122465abc63a2e104d6","name":"Earth", ...}
planet_name = Earth
HTTP Status Code and Planet Name Tests Passed
This confirms that:
  • The integration test retrieves instance details dynamically.
  • The /live endpoint returns a 200 HTTP status code.
  • The /planet POST request returns data with "name": "Earth".
  • The tests pass, verifying a successful integration process.

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Documentation and References

For further details on the AWS CLI describe-instances command, refer to the official AWS CLI Command Reference documentation.

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Visual References

The image shows a webpage from the AWS CLI Command Reference, specifically the documentation for the "describe-instances" command. It includes a note about viewing an older version of the AWS CLI and provides a description of the command's functionality.
The image shows a Jenkins dashboard displaying a list of stored credentials, including IDs and names for various services like MongoDB, Gitea, and DockerHub.
The image shows a Jenkins Pipeline Syntax page with a snippet generator for configuring AWS settings, including fields for region, endpoint URL, and credentials.
The image shows a Jenkins pipeline interface for a project named "solar-system," displaying various stages of the build process with some completed and one marked with a warning. It includes details of integration testing on AWS EC2.

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Conclusion

By dynamically fetching your AWS EC2 instance details using the AWS CLI and validating service endpoints via automated tests, you can significantly streamline your integration testing process. This setup enhances security by removing hard-coded URLs and ensures that your Jenkins pipeline accurately reflects the current state of your deployed environment. Thank you for exploring this integration testing approach on AWS EC2.

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