Netflix-Clone DevSecOps Pipeline

Production-Grade CI/CD with Security & Monitoring

A comprehensive DevSecOps pipeline for deploying a Netflix-clone application on AWS with integrated security scanning, GitOps, and advanced monitoring.

🏗️ Architecture Overview

┌─────────────────────────────────────────────────────────────┐
│                     Git Repository                          │
│              (Source Code + Jenkinsfile)                    │
└────────────────────────┬────────────────────────────────────┘
                         │
                         ▼
        ┌────────────────────────────────┐
        │      Jenkins CI/CD Pipeline    │
        │  ✓ Checkout Code               │
        │  ✓ SAST (SonarQube/Semgrep)    │
        │  ✓ Secret Scanning             │
        │  ✓ Dependency Check            │
        │  ✓ Build & Unit Tests          │
        └────────────┬───────────────────┘
                     │
                     ▼
        ┌────────────────────────────────┐
        │   Docker Build & Security      │
        │  ✓ Docker Build                │
        │  ✓ Trivy Scan                  │
        │  ✓ Grype Scan                  │
        │  ✓ Push to ECR                 │
        └────────────┬───────────────────┘
                     │
                     ▼
        ┌────────────────────────────────┐
        │   ArgoCD GitOps Deployment     │
        │  ✓ Auto-Sync from Git          │
        │  ✓ Kustomize Overlays          │
        │  ✓ Multi-Environment Support   │
        └────────────┬───────────────────┘
                     │
                     ▼
        ┌────────────────────────────────┐
        │   AWS EKS Kubernetes Cluster   │
        │  ✓ Rolling Updates             │
        │  ✓ Auto-Scaling (HPA)          │
        │  ✓ Network Policies            │
        │  ✓ Pod Security Policies       │
        └────────────┬───────────────────┘
                     │
                     ▼
        ┌────────────────────────────────┐
        │   Monitoring & Observability   │
        │  ✓ Prometheus Metrics          │
        │  ✓ Grafana Dashboards          │
        │  ✓ Alertmanager Notifications  │
        │  ✓ ELK Stack Logging           │
        │  ✓ Jaeger Distributed Tracing  │
        └────────────────────────────────┘

📋 Components

1. Docker - Containerization

File: Dockerfile
Multi-stage build for optimization
Non-root user for security
Health checks enabled
Layer caching optimized

2. Jenkins - CI/CD Orchestration

File: Jenkinsfile
Parallel execution of security scans
Quality gates (SonarQube)
Automated testing
Docker image building & scanning
ECR push automation
GitOps trigger

Key Stages:

Checkout → Code Quality → Build → Security Scanning → 
Docker Build → Image Scanning → Push to ECR → GitOps Deploy → Smoke Tests

3. Security Scanning Tools

SonarQube: SAST (Static Application Security Testing)
Trivy: Container vulnerability scanning
Grype: Software vulnerability scanner
Semgrep: Code pattern analysis
TruffleHog: Secret detection
OWASP Dependency-Check: Dependency vulnerabilities

4. Kubernetes (AWS EKS) - Orchestration

File: k8s-deployment.yaml
Security Context hardened
Resource limits enforced
Health checks (liveness, readiness, startup)
Horizontal Pod Autoscaler (HPA)
Pod Disruption Budget (PDB)
Network Policies
Rolling Updates

5. ArgoCD - GitOps

File: argocd-applicationset.yaml
Declarative continuous delivery
Multi-environment support
Kustomize overlays
Auto-sync enabled
Self-healing capabilities
Slack notifications

6. Prometheus - Metrics Collection

File: prometheus-setup.yaml
Service monitoring via ServiceMonitor
Recording rules for performance
Alerting rules with thresholds
15-day data retention
Alertmanager integration

Key Metrics:

Request rate & latency
Error rates
Pod restart counters
Resource usage (CPU/Memory)
Deployment status

7. Grafana - Visualization

File: grafana-setup.yaml
Pre-built dashboards
Real-time monitoring
Alert visualization
Multi-datasource support
HTTPS enabled

🚀 Quick Start

Local Testing (Docker Compose)

# 1. Start entire stack
docker-compose up -d

# 2. Access services
echo "Netflix App:    http://localhost:3000"
echo "Jenkins:        http://localhost:8080"
echo "Prometheus:     http://localhost:9090"
echo "Grafana:        http://localhost:3001 (admin/admin)"
echo "Kibana:         http://localhost:5601"
echo "SonarQube:      http://localhost:9000"
echo "Jaeger:         http://localhost:16686"

# 3. View application logs
docker logs netflix-clone

# 4. Run security scans
docker-compose exec app npm run security-check

Production Deployment (AWS)

# 1. Make setup script executable
chmod +x setup-devsecops-pipeline.sh

# 2. Configure AWS credentials
export AWS_REGION="us-east-1"
export AWS_ACCOUNT_ID="123456789"

# 3. Run setup
./setup-devsecops-pipeline.sh

# 4. Verify deployment
kubectl get pods -n production
kubectl port-forward svc/netflix-clone 8080:80 -n production

🔒 Security Features

Container Security

✅ Non-root user execution
✅ Read-only root filesystem
✅ No privilege escalation
✅ Dropped unnecessary capabilities
✅ Security scanning on build

Kubernetes Security

✅ Network Policies (ingress/egress)
✅ Pod Security Policies
✅ RBAC (Role-Based Access Control)
✅ Resource quotas & limits
✅ Security context hardened

Pipeline Security

✅ SAST analysis (SonarQube)
✅ Dependency scanning (OWASP)
✅ Secret detection (TruffleHog)
✅ Container scanning (Trivy/Grype)
✅ Code quality gates enforced

Data Security

✅ Encrypted ECR repositories
✅ Secrets management via Kubernetes secrets
✅ HTTPS for all services
✅ TLS/SSL certificates (Let's Encrypt)

📊 Monitoring & Alerting

Pre-configured Dashboards

Netflix-Clone Production: Application metrics
Kubernetes Cluster: Cluster health & resources
Docker Containers: Container performance

Alert Rules

High error rate (>5% for 5 minutes)
High latency (P95 > 1s)
Pod restart storms
High memory/CPU usage
Pod not ready
Deployment replica mismatch

Notification Channels

Slack channels (#alerts, #critical-alerts)
PagerDuty for critical incidents
Email notifications

🔄 GitOps Workflow

Repository Structure

netflix-clone-gitops/
├── k8s/
│   ├── base/
│   │   ├── deployment.yaml
│   │   ├── service.yaml
│   │   └── kustomization.yaml
│   └── overlays/
│       ├── production/
│       │   └── kustomization.yaml
│       └── staging/
│           └── kustomization.yaml
└── argocd/
    ├── application.yaml
    └── applicationset.yaml

Deployment Process

Code Push: Developer pushes to Git
Jenkins: Runs pipeline, pushes image to ECR
GitOps Repo Update: Jenkins updates image tag in Git
ArgoCD Sync: Detects Git changes, syncs to cluster
Deployment: Rolling update with zero downtime

📈 Performance Optimization

Scaling

HPA: Automatically scales 3-10 pods based on CPU/Memory
Rolling Updates: Zero downtime deployments
Pod Disruption Budget: Maintains minimum availability
Node Affinity: Spreads pods across nodes

Caching & Performance

Redis caching layer
Docker layer caching
Prometheus query optimization
Grafana dashboard caching

Resource Efficiency

CPU: 100m request / 500m limit
Memory: 256m request / 512m limit
Ephemeral storage quotas
Automatic pod eviction policies

🛠️ Troubleshooting

Deployment Issues

# Check pod status
kubectl describe pod <pod-name> -n production

# View logs
kubectl logs <pod-name> -n production

# Get events
kubectl get events -n production --sort-by='.lastTimestamp'

Monitoring Issues

# Check Prometheus targets
kubectl port-forward svc/prometheus 9090:9090 -n monitoring
# Visit http://localhost:9090/targets

# Check Grafana datasources
kubectl port-forward svc/grafana 3000:3000 -n monitoring
# Visit http://localhost:3000

Jenkins Issues

# Check Jenkins logs
kubectl logs -l app.kubernetes.io/name=jenkins -n jenkins

# Access Jenkins console
kubectl port-forward svc/jenkins 8080:8080 -n jenkins

📚 Key Files Reference

File	Purpose
`Dockerfile`	Container image definition
`Jenkinsfile`	CI/CD pipeline configuration
`k8s-deployment.yaml`	Kubernetes deployment manifests
`argocd-applicationset.yaml`	GitOps deployment config
`prometheus-setup.yaml`	Prometheus monitoring setup
`grafana-setup.yaml`	Grafana visualization setup
`docker-compose.yml`	Local development stack
`setup-devsecops-pipeline.sh`	Automated AWS setup script

🔐 Security Compliance

✅ OWASP Top 10: Addressed in design
✅ CIS Kubernetes Benchmarks: Implemented
✅ NIST Cybersecurity: Aligned
✅ PCI-DSS: Encryption & audit logging
✅ HIPAA: Encryption at rest & in transit

📊 Metrics & Dashboards

Application Metrics

Request rate (req/s)
Error rate (%)
P50/P95/P99 latency
Active connections

Infrastructure Metrics

CPU usage (%)
Memory usage (%)
Disk usage (%)
Network I/O

Kubernetes Metrics

Pod restart count
Deployment replicas status
HPA scaling events
Node resource utilization

🤝 Contributing

Create feature branch
Make changes & test locally
Run security scans
Create PR
Jenkins pipeline runs automatically
After approval, merge triggers production deployment

📞 Support & Documentation

Architecture Docs: /docs/architecture.md
API Documentation: /docs/api.md
Troubleshooting Guide: /docs/troubleshooting.md
Security Guidelines: /docs/security.md

📝 License

Proprietary - Netflix-Clone Project

🎯 Summary

This DevSecOps pipeline provides:

✅ Automated Security: Multiple scanning tools integrated
✅ Continuous Deployment: GitOps-based auto-deployment
✅ Comprehensive Monitoring: Real-time metrics & alerts
✅ High Availability: Auto-scaling & failover
✅ Production-Ready: Battle-tested components
✅ Compliance-Ready: Security best practices

Last Updated: 2025-03-24
Version: 1.0.0

Name		Name	Last commit message	Last commit date
Latest commit History 1 Commit
Dockerfile		Dockerfile
Jenkinsfile		Jenkinsfile
Makefile		Makefile
README.md		README.md
argocd-applicationset.yaml		argocd-applicationset.yaml
docker-compose.yml		docker-compose.yml
grafana-setup.yaml		grafana-setup.yaml
k8s-deployment.yaml		k8s-deployment.yaml
prometheus-setup.yaml		prometheus-setup.yaml
setup-devsecops-pipeline.sh		setup-devsecops-pipeline.sh

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