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🎵🚀 DevSecOps: Deploy Spotify Clone to Amazon Elastic Kubernetes Service (EKS) using ArgoCD and Monitor with Prometheus & Grafana ✨

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🚀 Introduction

In modern cloud-native development, speed alone is not enough — applications must be secure, scalable, observable, and fully automated. This is where DevSecOps comes in.

In this project, we implement a complete End-to-End DevSecOps pipeline to deploy a Spotify Clone application on Amazon Elastic Kubernetes Service (EKS) using ArgoCD (GitOps) and monitor it using Prometheus & Grafana.

This project demonstrates:

• Infrastructure as Code using Terraform
• CI pipeline using Jenkins
• Containerization with Docker
• Security scanning with Trivy
• GitOps Continuous Delivery with ArgoCD
• Kubernetes deployment on AWS EKS
• Monitoring & Observability

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🤝 Why ArgoCD and AWS EKS?

1️⃣ GitOps Workflow

ArgoCD follows the GitOps model where the desired Kubernetes state is stored in Git. Whenever code changes, ArgoCD automatically syncs and deploys the updated application.

Benefits:

• Version control for infrastructure
• Automatic synchronization
• Self-healing deployments
• Easy rollback

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2️⃣ Managed Kubernetes with EKS

Amazon EKS provides a fully managed Kubernetes control plane, allowing you to focus only on application deployment without worrying about cluster management.

Together, EKS + ArgoCD provide:

✔ Secure and scalable deployments ✔ Automated application lifecycle ✔ Infrastructure + Application as Code

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3️⃣ Continuous Integration with Jenkins

Jenkins automates:

• Docker image build
• Trivy vulnerability scanning
• Push image to DockerHub
• Automatically Update Kubernetes Deployment File in GitHub
• Update Kubernetes manifests

After pushing the Docker image, Jenkins:

• Updates the image tag in k8s/deployment.yaml
• Uses the Jenkins build number as the image version
• Commits the updated file
• Pushes changes back to GitHub automatically
• This ensures every build is secure and production-ready.

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4️⃣ Monitoring & Observability

Using Prometheus & Grafana, we monitor:

• Kubernetes cluster metrics
• Pod performance
• Application health
• Resource utilization

This ensures high availability and production-level visibility.

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🛠️ Steps to Implement

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🔹 Step 1: Provision Infrastructure using Terraform

Navigate to terraform directory:

cd terraform
terraform init
terraform apply --auto-approve

This provisions:

• VPC
• Subnets
• IAM Roles
• EKS Cluster
• Node Group

Configure kubectl:

aws eks update-kubeconfig --name spotify-eks-cluster --region ap-south-1
kubectl get nodes

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🔹 Step 2: Setup Jenkins CI Pipeline

1. Install Jenkins on EC2
2. Configure required credentials (AWS, DockerHub, GitHub)
3. Create Pipeline using:

jenkins/Jenkinsfile

Pipeline performs:

• Clone GitHub repo
• Build Docker image
• Run Trivy scan
• Push image to DockerHub
• Update Kubernetes deployment file

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🔹 Step 3: Install and Configure ArgoCD

Create namespace and install ArgoCD:

kubectl create namespace argocd
kubectl apply -n argocd -f https://raw.githubusercontent.com/argoproj/argo-cd/stable/manifests/install.yaml

Deploy application via:

kubectl apply -f argocd/spotify-app.yaml

ArgoCD will:

• Track Git repository
• Automatically deploy to EKS
• Self-heal configuration drift

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🔹 Step 4: Deploy Monitoring Stack

Create monitoring namespace:

kubectl create namespace monitoring
kubectl apply -f monitoring/

This installs:

• Prometheus
• Grafana
• Node Exporter

Access Grafana via NodePort service and configure Prometheus as data source.

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🔍 Monitoring & Metrics

Prometheus collects:

• Cluster metrics
• Node metrics
• Pod health
• Application performance

Grafana provides dashboards to visualize:

📊 CPU usage 📊 Memory usage 📊 Pod status 📊 Service health

This ensures real-time observability.

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🔄 Complete DevSecOps Workflow

Developer Push → GitHub
        ↓
Jenkins CI Pipeline
(Docker Build + Trivy Scan)
        ↓
Push Image to DockerHub
        ↓
Jenkins Updates Image Tag in GitHub (deployment.yaml)
        ↓
ArgoCD Sync
        ↓
Deploy to AWS EKS
        ↓
Prometheus Collects Metrics
        ↓
Grafana Dashboards

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🎯 Key Highlights

✔ Infrastructure as Code (Terraform) ✔ Secure CI with Trivy scanning ✔ GitOps Continuous Deployment ✔ AWS Managed Kubernetes (EKS) ✔ Full Monitoring & Observability ✔ Production-Ready Architecture

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🧹 Cleanup (Avoid AWS Charges)

cd terraform
terraform destroy --auto-approve

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🔄 Conclusion

This project demonstrates a real-world DevSecOps pipeline integrating:

• Jenkins
• Docker
• Terraform
• AWS EKS
• ArgoCD
• Prometheus
• Grafana

It showcases how automation, security, scalability, and monitoring come together to build a production-ready cloud-native system.

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👨‍💻 Author

Anant DevOps & Cloud Enthusiast 🚀

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