- Omar Samir (Team Lead)
- Momen Ahmed
- Ahmed Ashraf
- Ahmed Emad
- Ahmed Fahmy
- Mostafa Anwar
Total Duration: 16-2 β 23-7
Total Phases: 10
Project Type: Cloud-Native DevOps Automation Project
π 16-2 β 28-2 (13 Days)
- Initialize Git repository and define branching strategy.
- Structure project folders and naming conventions.
- Learn core AWS networking & compute services:
- EC2 (Virtual Servers)
- RDS (Managed Databases)
- S3 (Object Storage)
- ELB (Load Balancing)
- Manually provision AWS infrastructure to understand architecture flow.
- Initialized GitHub repository
- Manual AWS environment deployed
- Basic architecture documentation
π 1-3 β 15-3 (15 Days)
- Learn Terraform state management, providers, and modules.
- Write modular Terraform code for:
- VPC
- EC2
- RDS
- S3
- ELB
- Configure remote backend for state storage.
- Validate full infra creation & destruction cycle.
- Automated AWS provisioning using Terraform
- Modular infrastructure codebase
- Reproducible infrastructure environment
π 16-3 β 30-3 (15 Days)
- Learn Ansible playbooks, inventory, and roles.
- Integrate Terraform outputs with Ansible inventory.
- Automate EC2 configuration:
- Install Docker
- Install dependencies
- Configure base system settings
- Ensure idempotent configuration.
- Automated server configuration
- Fully prepared EC2 environment for containers
π 31-3 β 14-4 (15 Days)
- Study Docker images, containers & multi-stage builds.
- Containerize microservices:
- Frontend
- Backend API
- Payment Service
- Search Service
- Implement Docker Compose for local orchestration.
- Validate inter-service communication.
- Optimized Dockerfiles
- Working Docker Compose setup
- Validated microservices networking
π 15-4 β 10-5 (26 Days)
- Deep dive into Kubernetes architecture.
- Deploy:
- Pods
- Deployments
- Services
- ConfigMaps & Secrets
- Implement Ingress configuration.
- Implement Horizontal Pod Autoscaler (HPA).
- Perform scaling validation under load.
- Fully deployed Kubernetes application
- Working autoscaling mechanism
- Secure configuration management
π 11-5 β 25-5 (15 Days)
- Configure Nginx reverse proxy.
- Implement traffic routing & load balancing.
- Configure HTTPS (SSL).
- Optional: Deploy Nginx as Kubernetes Ingress Controller.
- Stable public endpoint
- Secure traffic routing configuration
π 26-5 β 15-6 (21 Days)
- Install and configure Jenkins.
- Write Declarative Jenkinsfile.
- Implement CI/CD stages:
- Code checkout
- Docker image build
- Push to registry
- Deploy to Kubernetes
- Implement rollback strategy.
- Test pipeline automation.
- Fully automated CI/CD pipeline
- Auto-deployment to Kubernetes
- Rollback tested successfully
π 16-6 β 30-6 (15 Days)
- Deploy Prometheus for metrics collection.
- Deploy Grafana dashboards.
- Monitor:
- Kubernetes cluster
- Application pods
- Nginx
- Configure alerting rules.
- Real-time monitoring dashboards
- Active alerting system
- Full infrastructure visibility
π 1-7 β 15-7 (15 Days)
- Integrate all components:
- Terraform β Infrastructure
- Ansible β Configuration
- Jenkins β Deployment
- Kubernetes β Orchestration
- Grafana β Monitoring
- Conduct load testing.
- Validate autoscaling.
- Simulate deployment failure and test rollback.
- End-to-end validated system
- Load test report
- Rollback validation report
π 16-7 β 23-7 (8 Days)
- Fix bugs & optimize performance.
- Secure secrets & clean repository.
- Optimize Docker images & infra cost.
- Finalize documentation:
- Architecture diagram
- Deployment guide
- CI/CD explanation
- Monitoring explanation
- Production-ready repository
- Clean & secure infrastructure
- Presentation-ready documentation
β Fully automated cloud-native E-Commerce deployment
β Infrastructure as Code
β CI/CD automation
β Kubernetes auto-scaling
β Monitoring & alerting
β Secure production-ready DevOps architecture