Netflix_c

This project is a simple clone of the Netflix.com page. The motivation behind this project is to have hands on experience with DevSecOps tools and processes and also to practice different react properties and features.

Architure of the Project

Home Page of the Project

Deploy Netflix Clone on Cloud

Phase 1: Initial Setup and Deployment

Step 1: Launch EC2 (Ubuntu 22.04):

Provision an EC2 instance on AWS with Ubuntu 22.04.
30 GB EBS volume
Open port 80, 8080, 9000, and 8081 for the application
Connect to the instance using SSH.

Step 2: Clone the Code:

Update all the packages and then clone the code.
Clone your application's code repository onto the EC2 instance:

    git clone https://github.com/Maharshi-Mimo/Netflix_c.git

Step 3: Get the API Key:

Open a web browser and navigate to TMDB (The Movie Database) website.
Click on "Login" and create an account.
Once logged in, go to your profile and select "Settings."
Click on "API" from the left-side panel.
Create a new API key by clicking "Create" and accepting the terms and conditions.
Provide the required basic details and click "Submit."
You will receive your TMDB API key.

Step 4: Install Docker and Run the App Using a Container:

Set up Docker on the EC2 instance:

sudo apt-get update
sudo apt-get install docker.io -y
sudo usermod -aG docker $USER  # Replace with your system's username, e.g., 'ubuntu'
newgrp docker
sudo chmod 777 /var/run/docker.sock

Build and run the application using Docker container

    docker build --build-arg TMDB_V3_API_KEY=<your-api-key> -t netflix .
    docker run -d --name netflix -p 8081:80 netflix:latest
    
    #to delete
    #docker stop <containerid>
    #docker rmi -f netflix

Phase 2: Security

Install SonarQube and Trivy:

Install SonarQube and Trivy on the EC2 instance to scan for vulnerabilities.
To run sonarqube container

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

To access sonarqube: <EC2_pulic_ip>:9000 (by default username & password is admin)

To install Trivy.

        sudo apt-get install wget apt-transport-https gnupg lsb-release
        wget -qO - https://aquasecurity.github.io/trivy-repo/deb/public.key | sudo apt-key add -
        echo deb 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

Integrate SonarQube and Configure:
- Integrate SonarQube with your CI/CD pipeline.
- Configure SonarQube to analyze code for quality and security issues.

Phase 3: CI/CD Setup

Install Jenkins for Automation:
- Install Jenkins on the EC2 instance to automate deployment: Install Java

    sudo apt update
    sudo apt install fontconfig openjdk-17-jre
    java -version
    openjdk version "17.0.8" 2023-07-18
    OpenJDK Runtime Environment (build 17.0.8+7-Debian-1deb12u1)
    OpenJDK 64-Bit Server VM (build 17.0.8+7-Debian-1deb12u1, mixed mode, sharing)
    
    #jenkins
    sudo wget -O /usr/share/keyrings/jenkins-keyring.asc \
    https://pkg.jenkins.io/debian-stable/jenkins.io-2023.key
    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
    sudo apt-get install jenkins
    sudo systemctl start jenkins
    sudo systemctl enable jenkins

Access Jenkins in a web browser using the public IP of your EC2 instance. (At port 8080) e.g., http://<ec2-public-ip>:8080

Install Necessary Plugins in Jenkins:

Goto Manage Jenkins →Plugins → Available Plugins →

Install below plugins

1 Eclipse Temurin Installer (Install without restart)

2 SonarQube Scanner (Install without restart)

3 NodeJs Plugin (Install Without restart)

4 Email Extension Plugin

Configure Java and Nodejs in Global Tool Configuration

Goto Manage Jenkins → Tools → Install JDK(17) and NodeJs(16)→ Click on Apply and Save

SonarQube

Create the token

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

After adding sonar-token

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.

Create a Jenkins webhook

Install Dependency-Check and Docker Tools in Jenkins

Install Dependency-Check Plugin:

Go to "Dashboard" in your Jenkins web interface.
Navigate to "Manage Jenkins" → "Manage Plugins."
Click on the "Available" tab and search for "OWASP Dependency-Check."
Check the checkbox for "OWASP Dependency-Check" and click on the "Install without restart" button.

Configure Dependency-Check Tool:

After installing the Dependency-Check plugin, you need to configure the tool.
Go to "Dashboard" → "Manage Jenkins" → "Global Tool Configuration."
Find the section for "OWASP Dependency-Check."
Add the tool's name, e.g., "DP-Check."
Save your settings.

Install Docker Tools and Docker Plugins:

Go to "Dashboard" in your Jenkins web interface.
Navigate to "Manage Jenkins" → "Manage Plugins."
Click on the "Available" tab and search for "Docker."
Check the following Docker-related plugins:
- Docker
- Docker Commons
- Docker Pipeline
- Docker API
- docker-build-step
Click on the "Install without restart" button to install these plugins.

Add DockerHub Credentials:

To securely handle DockerHub credentials in your Jenkins pipeline, follow these steps:
- Go to "Dashboard" → "Manage Jenkins" → "Manage Credentials."
- Click on "System" and then "Global credentials (unrestricted)."
- Click on "Add Credentials" on the left side.
- Choose "Secret text" as the kind of credentials.
- Enter your DockerHub credentials (Username and Password) and give the credentials an ID (e.g., "docker").
- Click "OK" to save your DockerHub credentials.
- Click on "System" and then "Global credentials (unrestricted)."

Configure CI/CD Pipeline in Jenkins:

Precaution: Run the commands one by one to avoid pipeline failure for docker login issue that you are going tp face

sudo su
sudo usermod -aG docker jenkins
sudo systemctl restart jenkins

Create a CI/CD pipeline in Jenkins to automate your application deployment.

pipeline{
    agent any
    tools{
        jdk 'jdk17'
        nodejs 'node16'
    }
    environment {
        SCANNER_HOME=tool 'sonar-scanner'
    }
    stages {
        stage('clean workspace'){
            steps{
                cleanWs()
            }
        }
        stage('Checkout from Git'){
            steps{
                git branch: 'main', url: 'https://github.com/Maharshi-Mimo/Netflix_c.git'
            }
        }
        stage("Sonarqube Analysis "){
            steps{
                withSonarQubeEnv('sonar-server') {
                    sh ''' $SCANNER_HOME/bin/sonar-scanner -Dsonar.projectName=Netflix \
                    -Dsonar.projectKey=Netflix '''
                }
            }
        }
        stage("quality gate"){
           steps {
                script {
                    waitForQualityGate abortPipeline: false, credentialsId: 'Sonar-token' 
                }
            } 
        }
        stage('Install Dependencies') {
            steps {
                sh "npm install"
            }
        }
        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.txt"
            }
        }
        stage("Docker Build & Push"){
            steps{
                script{
                   withDockerRegistry(credentialsId: 'docker', toolName: 'docker'){   
                       sh "docker build --build-arg TMDB_V3_API_KEY=<yourapikey> -t netflix ."
                       sh "docker tag netflix maharshimimo/netflix:latest "
                       sh "docker push maharshimimo/netflix:latest "
                    }
                }
            }
        }
        stage("TRIVY"){
            steps{
                sh "trivy image maharshimimo/netflix:latest > trivyimage.txt" 
            }
        }
        stage('Deploy to container'){
            steps{
                sh 'docker run -d --name netflix -p 8081:80 maharshimimo/netflix:latest'
            }
        }
    }
}

Pipeline

Phase 4: Monitoring

Provision an EC2 instance on AWS with Ubuntu 22.04.
With 20 GB of storage space.
Open port 9090 (prometheus), and 3000 (for Grafana)
Connect to the instance using SSH

Installing Prometheus:

First, create a dedicated Linux user for Prometheus and download Prometheus.

   sudo useradd --system --no-create-home --shell /bin/false prometheus
   wget https://github.com/prometheus/prometheus/releases/download/v2.47.1/prometheus-2.47.1.linux-amd64.tar.gz

Extract Prometheus files, move them, and create directories:

   tar -xvf prometheus-2.47.1.linux-amd64.tar.gz
   cd prometheus-2.47.1.linux-amd64/
   sudo mkdir -p /data /etc/prometheus
   sudo mv prometheus promtool /usr/local/bin/
   sudo mv consoles/ console_libraries/ /etc/prometheus/
   sudo mv prometheus.yml /etc/prometheus/prometheus.yml

Set ownership for directories:

   sudo chown -R prometheus:prometheus /etc/prometheus/ /data/

Create a systemd unit configuration file for Prometheus:

   sudo nano /etc/systemd/system/prometheus.service

Add the following content to the prometheus.service file:


   [Unit]
   Description=Prometheus
   Wants=network-online.target
   After=network-online.target

   StartLimitIntervalSec=500
   StartLimitBurst=5

   [Service]
   User=prometheus
   Group=prometheus
   Type=simple
   Restart=on-failure
   RestartSec=5s
   ExecStart=/usr/local/bin/prometheus \
     --config.file=/etc/prometheus/prometheus.yml \
     --storage.tsdb.path=/data \
     --web.console.templates=/etc/prometheus/consoles \
     --web.console.libraries=/etc/prometheus/console_libraries \
     --web.listen-address=0.0.0.0:9090 \
     --web.enable-lifecycle

   [Install]
   WantedBy=multi-user.target

Here's a brief explanation of the key parts in this prometheus.service file:

User and Group specify the Linux user and group under which Prometheus will run.
ExecStart is where you specify the Prometheus binary path, the location of the configuration file (prometheus.yml), the storage directory, and other settings.
web.listen-address configures Prometheus to listen on all network interfaces on port 9090.
web.enable-lifecycle allows for management of Prometheus through API calls.
Enable and start Prometheus:

   sudo systemctl enable prometheus
   sudo systemctl start prometheus

Verify Prometheus's status:

   sudo systemctl status prometheus

You can access Prometheus in a web browser using your server's IP and port 9090: e.g., http://<ec2-public-ip>:9090

Installing Node Exporter:

Create a system user for Node Exporter and download Node Exporter:

   sudo useradd --system --no-create-home --shell /bin/false node_exporter
   wget https://github.com/prometheus/node_exporter/releases/download/v1.6.1/node_exporter-1.6.1.linux-amd64.tar.gz

Extract Node Exporter files, move the binary, and clean up:

   tar -xvf node_exporter-1.6.1.linux-amd64.tar.gz
   sudo mv node_exporter-1.6.1.linux-amd64/node_exporter /usr/local/bin/
   rm -rf node_exporter*

Create a systemd unit configuration file for Node Exporter:

   sudo nano /etc/systemd/system/node_exporter.service

Add the following content to the node_exporter.service file:

   [Unit]
   Description=Node Exporter
   Wants=network-online.target
   After=network-online.target

   StartLimitIntervalSec=500
   StartLimitBurst=5

   [Service]
   User=node_exporter
   Group=node_exporter
   Type=simple
   Restart=on-failure
   RestartSec=5s
   ExecStart=/usr/local/bin/node_exporter --collector.logind

   [Install]
   WantedBy=multi-user.target

Enable and start Node Exporter:

   sudo systemctl enable node_exporter
   sudo systemctl start node_exporter

Verify the Node Exporter's status:

   sudo systemctl status node_exporter

You can access Node Exporter metrics in Prometheus.

Configure Prometheus Plugin Integration:

Integrate Jenkins with Prometheus to monitor the CI/CD pipeline.

Prometheus Configuration:

To configure Prometheus to scrape metrics from Node Exporter and Jenkins, you need to modify the prometheus.yml file. Here is an example prometheus.yml configuration for your setup:

cd /etc/prometheus

Open the prometheus .yml file using a text editor (e.g., nano or vim). A

sudo nano prometheus.yml"

Add following lines at the end of prometheus.yml file:

   global:
     scrape_interval: 15s

   scrape_configs:
     - job_name: 'node_exporter'
       static_configs:
         - targets: ['localhost:9100']

     - job_name: 'jenkins'
       metrics_path: '/prometheus'
       static_configs:
         - targets: ['<your-jenkins-ip>:<your-jenkins-port>']

Make sure to replace <your-jenkins-ip> and <your-jenkins-port> with the appropriate values for your Jenkins setup.
Check the validity of the configuration file:

   promtool check config /etc/prometheus/prometheus.yml

Reload the Prometheus configuration without restarting:

   curl -X POST http://localhost:9090/-/reload

You can access Prometheus targets at:

http://<your-prometheus-ip>:9090/targets

Installing Grafana:

Install Grafana on Ubuntu 22.04 and Set it up to Work with Prometheus

Step 1: Install Dependencies:

First, ensure that all necessary dependencies are installed:

sudo apt-get update
sudo apt-get install -y apt-transport-https software-properties-common

Step 2: Add the GPG Key:

Add the GPG key for Grafana:

wget -q -O - https://packages.grafana.com/gpg.key | sudo apt-key add -

Step 3: Add Grafana Repository:

Add the repository for Grafana stable releases:

echo "deb https://packages.grafana.com/oss/deb stable main" | sudo tee -a /etc/apt/sources.list.d/grafana.list

Step 4: Update and Install Grafana:

Update the package list and install Grafana:

sudo apt-get update
sudo apt-get -y install grafana

Step 5: Enable and Start Grafana Service:

To automatically start Grafana after a reboot, enable the service:

sudo systemctl enable grafana-server

Then, start Grafana:

sudo systemctl start grafana-server

Step 6: Check Grafana Status:

Verify the status of the Grafana service to ensure it's running correctly:

sudo systemctl status grafana-server

Step 7: Access Grafana Web Interface:

Open a web browser and navigate to Grafana using your server's IP address. The default port for Grafana is 3000. For example:

http://<your-server-ip>:3000

You'll be prompted to log in to Grafana. The default username is "admin," and the default password is also "admin."

Step 8: Change the Default Password:

When you log in for the first time, Grafana will prompt you to change the default password for security reasons. Follow the prompts to set a new password.

Step 9: Add Prometheus Data Source:

To visualize metrics, you need to add a data source. Follow these steps:

Click on the gear icon (⚙️) in the left sidebar to open the "Configuration" menu.
Select "Data Sources."
Click on the "Add data source" button.
Choose "Prometheus" as the data source type.
In the "HTTP" section:
- Set the "URL" to http://localhost:9090 (assuming Prometheus is running on the same server).
- Click the "Save & Test" button to ensure the data source is working.

Step 10: Import a Dashboard:

To make it easier to view metrics, you can import a pre-configured dashboard. Follow these steps:

Click on the "+" (plus) icon in the left sidebar to open the "Create" menu.
Select "Dashboard."
Click on the "Import" dashboard option.
Enter the dashboard code you want to import (e.g., code 1860).
Click the "Load" button.
Select the data source you added (Prometheus) from the dropdown.
Click on the "Import" button.

You should now have a Grafana dashboard set up to visualize metrics from Prometheus.

Grafana Dashboard of Nodes

Grafana is a powerful tool for creating visualizations and dashboards, and you can further customize it to suit your specific monitoring needs.

Grafana Dashboard of Jenkins

That's it! You've successfully installed and set up Grafana to work with Prometheus for monitoring and visualization.

Configure Prometheus Plugin Integration:
- Integrate Jenkins with Prometheus to monitor the CI/CD pipeline.

Phase 5: Notification

Implement Notification Services:
- Set up email notifications in Jenkins or other notification mechanisms.

Phase 6: Kubernetes

Create Kubernetes Cluster with Nodegroups

In this phase, you'll set up a Kubernetes cluster with node groups. This will provide a scalable environment to deploy and manage your applications.

Monitor Kubernetes with Prometheus

Prometheus is a powerful monitoring and alerting toolkit, and you'll use it to monitor your Kubernetes cluster. Additionally, you'll install the node exporter using Helm to collect metrics from your cluster nodes.

Install Node Exporter using Helm

To begin monitoring your Kubernetes cluster, you'll install the Prometheus Node Exporter. This component allows you to collect system-level metrics from your cluster nodes. Here are the steps to install the Node Exporter using Helm:

Add the Prometheus Community Helm repository:

    helm repo add prometheus-community https://prometheus-community.github.io/helm-charts

Create a Kubernetes namespace for the Node Exporter:

    kubectl create namespace prometheus-node-exporter

Install the Node Exporter using Helm:

    helm install prometheus-node-exporter prometheus-community/prometheus-node-exporter --namespace prometheus-node-exporter

Add a Job to Scrape Metrics on nodeip:9001/metrics in prometheus.yml:

Update your Prometheus configuration (prometheus.yml) to add a new job for scraping metrics from nodeip:9001/metrics. You can do this by adding the following configuration to your prometheus.yml file:

  - job_name: 'Netflix'
    metrics_path: '/metrics'
    static_configs:
      - targets: ['node1Ip:9100']

Replace 'your-job-name' with a descriptive name for your job. The static_configs section specifies the targets to scrape metrics from, and in this case, it's set to nodeip:9001.

Don't forget to reload or restart Prometheus to apply these changes to your configuration.

To deploy an application with ArgoCD, you can follow these steps, which I'll outline in Markdown format:

Deploy Application with ArgoCD

Install ArgoCD:

You can install ArgoCD on your Kubernetes cluster by following the instructions provided in the EKS Workshop documentation.
Set Your GitHub Repository as a Source:

After installing ArgoCD, you need to set up your GitHub repository as a source for your application deployment. This typically involves configuring the connection to your repository and defining the source for your ArgoCD application. The specific steps will depend on your setup and requirements.
Create an ArgoCD Application:
- name: Set the name for your application.
- destination: Define the destination where your application should be deployed.
- project: Specify the project the application belongs to.
- source: Set the source of your application, including the GitHub repository URL, revision, and the path to the application within the repository.
- syncPolicy: Configure the sync policy, including automatic syncing, pruning, and self-healing.
Access your Application
- To Access the app make sure port 30007 is open in your security group and then open a new tab paste your NodeIP:30007, your app should be running.

Phase 7: Cleanup

Cleanup AWS EC2 Instances:
- Terminate AWS EC2 instances that are no longer needed.

Name		Name	Last commit message	Last commit date
Latest commit History 74 Commits
kubernetes		kubernetes
public		public
src		src
.dockerignore		.dockerignore
.env.example		.env.example
.gitignore		.gitignore
Dockerfile		Dockerfile
LICENSE		LICENSE
README.md		README.md
index.html		index.html
package.json		package.json
pipeline.txt		pipeline.txt
tsconfig.json		tsconfig.json
tsconfig.node.json		tsconfig.node.json
vercel.json		vercel.json
vite.config.ts		vite.config.ts
yarn.lock		yarn.lock

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Repository files navigation

Netflix_c

Deploy Netflix Clone on Cloud

Phase 1: Initial Setup and Deployment

Phase 2: Security

Phase 3: CI/CD Setup

Configure Java and Nodejs in Global Tool Configuration

SonarQube

Phase 4: Monitoring

Installing Grafana:

Phase 5: Notification

Phase 6: Kubernetes

Create Kubernetes Cluster with Nodegroups

Monitor Kubernetes with Prometheus

Install Node Exporter using Helm

Deploy Application with ArgoCD

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Netflix_c

Deploy Netflix Clone on Cloud

Phase 1: Initial Setup and Deployment

Phase 2: Security

Phase 3: CI/CD Setup

Configure Java and Nodejs in Global Tool Configuration

SonarQube

Phase 4: Monitoring

Installing Grafana:

Phase 5: Notification

Phase 6: Kubernetes

Create Kubernetes Cluster with Nodegroups

Monitor Kubernetes with Prometheus

Install Node Exporter using Helm

Deploy Application with ArgoCD

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