Open Source Project: DevSecOps for OpenAI Chatbot UI Deployment

Nivas DevSecOps
8 min readAug 19, 2024

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In today’s digital landscape, user engagement is key to the success of any application. From websites to mobile apps, providing users with interactive and personalized experiences is essential. That’s why we’re thrilled to announce our latest endeavor:

What is ChatBOT?

ChatBOT is an AI language model trained on vast amounts of human conversation data. It’s capable of generating human-like text responses based on the input it receives. From answering questions to engaging in conversation, ChatBOT can simulate natural language interactions with users, making it an invaluable tool for enhancing user engagement.

Why ChatBOT?

  1. Personalized Interactions: ChatBOT can understand and respond to user queries in a natural and conversational manner, creating personalized interactions that keep users engaged.
  2. 24/7 Availability: Unlike human agents, ChatBOT is available 24/7 to assist users, providing instant responses to their queries and ensuring a seamless user experience.
  3. Scalability: With ChatBOT deployed in our application, we can handle a large volume of user interactions without compromising performance, ensuring scalability as our user base grows.

How We’re Deploying ChatBOT

To deploy ChatBOT on our EKS, we’re leveraging Jenkins as our CICD (Continuous Integration/Continuous Deployment) tool and deploying the chatbot within a Docker container. This approach allows us to automate the deployment process, ensuring efficient and reliable delivery of updates and enhancements to our users.

Now, let’s get started and dig deeper into each of these steps:-

Launch an Ubuntu(22.04) T2 Large Instance

Launch an AWS T2 Large Instance. Use the image as Ubuntu. You can create a new key pair or use an existing one. Enable HTTP and HTTPS settings in the Security Group and open all ports (not best case to open all ports but just for learning purposes it’s okay).

Install Jenkins, Docker and Trivy

To Install Jenkins

Connect to your console, and enter these commands to Install Jenkins

nano jenkins.sh
#!/bin/bash
sudo apt update -y
wget -O - https://packages.adoptium.net/artifactory/api/gpg/key/public | tee /etc/apt/keyrings/adoptium.asc
echo "deb [signed-by=/etc/apt/keyrings/adoptium.asc] https://packages.adoptium.net/artifactory/deb $(awk -F= '/^VERSION_CODENAME/{print$2}' /etc/os-release) main" | tee /etc/apt/sources.list.d/adoptium.list
sudo apt update -y
sudo apt install temurin-17-jdk -y
/usr/bin/java --version
curl -fsSL https://pkg.jenkins.io/debian-stable/jenkins.io-2023.key | sudo tee \
/usr/share/keyrings/jenkins-keyring.asc > /dev/null
echo deb [signed-by=/usr/share/keyrings/jenkins-keyring.asc] \
https://pkg.jenkins.io/debian-stable binary/ | sudo tee \
/etc/apt/sources.list.d/jenkins.list > /dev/null
sudo apt-get update -y
sudo apt-get install jenkins -y
sudo systemctl start jenkins
sudo chmod 777 jenkins.sh
sudo su #move into root and run
./jenkins.sh # this will installl jenkins

Once Jenkins is installed, you will need to go to your AWS EC2 Security Group and open Inbound Port 8080, since Jenkins works on Port 8080.

Now, grab your Public IP Address

<EC2 Public IP Address:8080>
sudo cat /var/lib/jenkins/secrets/initialAdminPassword

Unlock Jenkins using an administrative password and install the suggested plugins.

Jenkins will now get installed and install all the libraries.

Create a user click on save and continue.

Jenkins Getting Started Screen.

Install Docker

sudo apt-get update
sudo apt-get install docker.io -y
sudo usermod -aG docker $USER #my case is ubuntu
newgrp docker
sudo chmod 777 /var/run/docker.sock

After the docker installation, we create a sonarqube container (Remember to add 9000 ports in the security group).

docker run -d --name sonar -p 9000:9000 sonarqube:lts-community

Now our Sonarqube is up and running

Enter username and password, click on login and change password

username admin
password admin

Update New password, This is Sonar Dashboard.

Install Trivy:

nano script.sh
sudo apt-get install wget apt-transport-https gnupg lsb-release -y
wget -qO - https://aquasecurity.github.io/trivy-repo/deb/public.key | gpg --dearmor | sudo tee /usr/share/keyrings/trivy.gpg > /dev/null
echo "deb [signed-by=/usr/share/keyrings/trivy.gpg] https://aquasecurity.github.io/trivy-repo/deb $(lsb_release -sc) main" | sudo tee -a /etc/apt/sources.list.d/trivy.list
sudo apt-get update
sudo apt-get install trivy -y# Install Terraform
sudo apt install wget -y
wget -O- https://apt.releases.hashicorp.com/gpg | sudo gpg --dearmor -o /usr/share/keyrings/hashicorp-archive-keyring.gpg
echo "deb [signed-by=/usr/share/keyrings/hashicorp-archive-keyring.gpg] https://apt.releases.hashicorp.com $(lsb_release -cs) main" | sudo tee /etc/apt/sources.list.d/hashicorp.list
sudo apt update && sudo apt install terraform

Give permissions and run script

sudo chmod 777 script.sh
./script.sh

Next, we will log in to Jenkins and start to configure our Pipeline in Jenkins

Install Plugins like JDK, Sonarqube Scanner, NodeJs, OWASP Dependency Check

Install Plugin

Goto Manage Jenkins →Plugins → Available Plugins →

Install below plugins

Blue ocean

1 → Eclipse Temurin Installer

2 → SonarQube Scanner

3 → NodeJs Plugin

4 → Docker

5 → Docker commons

6 → Docker pipeline

7 → Docker API

8 → Docker Build step

9 → Owasp Dependency Check

Configure Java and Nodejs in Global Tool Configuration

Goto Manage Jenkins → Tools → Install JDK(17) and NodeJs(19)→ Click on Apply and Save

Grab the Public IP Address of your EC2 Instance, Sonarqube works on Port 9000, so <Public IP>:9000. Goto your Sonarqube Server.

Click on Administration → Security → Users → Click on Tokens and Update Token → Give it a name → and click on Generate Token

click on update Token

Create a token with a name and generate

copy Token

Go to Jenkins Dashboard → Manage Jenkins → Credentials → Add Secret Text. It should look like this

You will this page once you click on create

Now, go to Dashboard → Manage Jenkins → System and Add like the below image.

Click on Apply and Save

The Configure System option is used in Jenkins to configure different server

Global Tool Configuration is used to configure different tools that we install using Plugins

We will install a sonar scanner in the tools.

Manage Jenkins –> Tools –> SonarQube Scanner

In the Sonarqube Dashboard add a quality gate also

Administration–> Configuration–>Webhooks

Click on Create

Add details

#in url section of quality gate
<http://jenkins-public-ip:8080>/sonarqube-webhook/

To see the report, you can go to Sonarqube Server and go to Projects.

First, we configured the Plugin and next, we had to configure the Tool

Goto Dashboard → Manage Jenkins → Tools →

Click on Apply and Save here.

Now, goto Dashboard → Manage Jenkins → Tools →

Go to manage Jenkins –> Credentials

Add DockerHub Username and Password under Global Credentials

Let’s add a pipeline

pipeline{
agent any
tools{
jdk 'jdk17'
nodejs 'node19'
}
environment {
SCANNER_HOME=tool 'sonar-scanner'
}
stages {
stage('Checkout from Git'){
steps{
git branch: 'legacy', url: 'https://github.com/Aj7Ay/chatbot-ui.git'
}
}
stage('Install Dependencies') {
steps {
sh "npm install"
}
}
stage("Sonarqube Analysis "){
steps{
withSonarQubeEnv('sonar-server') {
sh ''' $SCANNER_HOME/bin/sonar-scanner -Dsonar.projectName=Chatbot \
-Dsonar.projectKey=Chatbot '''
}
}
}
stage("quality gate"){
steps {
script {
waitForQualityGate abortPipeline: false, credentialsId: 'Sonar-token'
}
}
}
stage('OWASP FS SCAN') {
steps {
dependencyCheck additionalArguments: '--scan ./ --disableYarnAudit --disableNodeAudit', odcInstallation: 'DP-Check'
dependencyCheckPublisher pattern: '**/dependency-check-report.xml'
}
}
stage('TRIVY FS SCAN') {
steps {
sh "trivy fs . > trivyfs.json"
}
}
stage("Docker Build & Push"){
steps{
script{
withDockerRegistry(credentialsId: 'docker', toolName: 'docker'){
sh "docker build -t chatbot ."
sh "docker tag chatbot nivasheart22/chatbot:latest "
sh "docker push nivasheart22/chatbot:latest "
}
}
}
}
stage("TRIVY"){
steps{
sh "trivy image nivasheart22/chatbot:latest > trivy.json"
}
}
stage ("Remove container") {
steps{
sh "docker stop chatbot | true"
sh "docker rm chatbot | true"
}
}
stage('Deploy to container'){
steps{
sh 'docker run -d --name chatbot -p 3000:3000 nivasheart22/chatbot:latest'
}
}
}

You can see the report has been generated and the status shows as passed. You can see that there are 5.3k lines it scanned. To see a detailed report, you can go to issues.

You will see that in status, a graph will also be generated and Vulnerabilities.

Docker Hub registry :

Trivy Container scan report

<Jenkins-public-ip:3000>

You will get this output

If you facing any error in the docker

Delete the EC2 instance at End.

Together, we’re shaping the future of user engagement and paving the way for innovative solutions in the world of technology.

Thanks for Reading the blog.

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Nivas DevSecOps
Nivas DevSecOps

Written by Nivas DevSecOps

Cloud | DevSecOps| AWS ⭐Passionate Cloud and DevOps . 🎯 Like to stay up-to-date with the latest trends and insights.

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