DisneyXOps

DisneyXOps is an end-to-end DevSecOps project that demonstrates the deployment, security, automation, and monitoring of a streaming application on AWS using modern cloud-native technologies.

This project implements industry-standard DevOps practices including CI/CD automation, Infrastructure as Code (IaC), containerization, Kubernetes orchestration, security scanning, code quality analysis, and observability.

---

Overview

DisneyXOps showcases the complete software delivery lifecycle from source code management to production deployment and monitoring.

Key objectives of this project:

• Automate application delivery using CI/CD pipelines
• Improve code quality through static analysis
• Integrate security checks into the deployment workflow
• Deploy containerized applications on Kubernetes
• Provision infrastructure using Terraform
• Monitor application and cluster health in real time
• Implement cloud-native DevOps and DevSecOps practices

---

Architecture

Developer
    |
    v
GitHub Repository
    |
    v
Jenkins Pipeline
    |
    +--> SonarQube Analysis
    |
    +--> OWASP Dependency Check
    |
    +--> Trivy Security Scan
    |
    +--> Docker Image Build
    |
    +--> Push Image to Registry
    |
    +--> Deploy to Amazon EKS
                    |
                    v
           Kubernetes Cluster
                    |
          +---------+---------+
          |                   |
          v                   v
     Prometheus          Grafana
                    |
                    v
              Email Alerts

---

🛠️ Tools & Services Used

Category	Tools
Version Control
CI/CD
Code Quality
Containerization
Orchestration
Monitoring
Security
IAC

---

---

Project Workflow

Source Code Management

Application source code is maintained and version-controlled using GitHub.

Continuous Integration

Jenkins automatically triggers the pipeline whenever code changes are pushed to the repository.

Code Quality Analysis

SonarQube performs static code analysis to identify bugs, code smells, vulnerabilities, and maintainability issues.

Security Validation

OWASP Dependency Check scans project dependencies for known vulnerabilities, while Trivy scans container images to detect security risks before deployment.

Containerization

Docker packages the application and its dependencies into a portable container image.

Infrastructure Provisioning

Terraform provisions and manages AWS infrastructure resources required for the deployment.

Kubernetes Deployment

The application is deployed and managed on Amazon EKS using Kubernetes.

Monitoring and Observability

Prometheus collects application and infrastructure metrics, while Grafana provides dashboards for visualization and monitoring.

Notifications

Email alerts provide information about build status, deployment outcomes, and security scan results.

---

Why These Tools?

Tool	Purpose
GitHub	Source code management and collaboration
Jenkins	CI/CD pipeline automation
SonarQube	Continuous code quality inspection
OWASP Dependency Check	Dependency vulnerability analysis
Trivy	Container image vulnerability scanning
Docker	Application containerization
Terraform	Infrastructure provisioning and management
Kubernetes	Container orchestration and scalability
Amazon EKS	Managed Kubernetes service on AWS
Prometheus	Metrics collection and monitoring
Grafana	Dashboard visualization and analytics
Email Alerts	Operational visibility and notifications

---

Key Features

• End-to-end CI/CD automation
• Infrastructure as Code using Terraform
• Secure containerized deployments
• Automated code quality analysis
• Dependency vulnerability scanning
• Container image security scanning
• Kubernetes-based application orchestration
• Cloud-native deployment on AWS
• Real-time monitoring and visualization
• Automated deployment notifications

---

Security Implementation

• Static code analysis using SonarQube
• Dependency vulnerability assessment using OWASP Dependency Check
• Container image security scanning using Trivy
• Security integrated into the CI/CD workflow
• Infrastructure provisioning through code

---

Monitoring and Observability

• Kubernetes cluster monitoring
• Application performance monitoring
• Resource utilization tracking
• Metrics collection using Prometheus
• Dashboard visualization using Grafana
• Operational alerting and visibility

---

Benefits

• Faster and automated deployments
• Improved application reliability
• Enhanced security posture
• Reduced manual intervention
• Consistent infrastructure management
• Scalable cloud-native architecture
• Better operational visibility
• Production-oriented DevOps workflow

---

Author

Omkar Memane

DevOps Engineer | Cloud & Automation Enthusiast

LinkedIn: https://linkedin.com/in/your-profile

GitHub: https://github.com/your-username

Email: omkarrmemane@gmail.com