Smart-Inventory-Management-System

A scalable inventory management platform that tracks stock levels in real time and generates automated alerts. The system showcases DevOps best practices including Docker containerization, Terraform-based infrastructure, Kubernetes deployment, CI/CD pipelines, and observability.

Smart Inventory Management System

📌 Estimated Duration: 100 Days

Real-time inventory tracking platform with alerting, automation, scalable deployment, and monitoring.

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Phase 1 – Architecture & Design (6 Days)

• Define microservices architecture.
• Design infrastructure layout.
• Initialize Git repository.

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Phase 2 – AWS Infrastructure Setup (8 Days)

• Deploy EC2 & S3.
• Configure VPC & Security Groups.

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Phase 3 – Terraform Automation (14 Days)

• Modularize infrastructure provisioning.
• Implement remote backend state.
• Validate reproducibility.

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Phase 4 – Ansible Configuration (12 Days)

• Configure server environment.
• Install Docker & runtime dependencies.

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Phase 5 – Dockerization (12 Days)

• Containerize:
  • Inventory service
  • Alert service
  • Dashboard
• Validate service communication.

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Phase 6 – Kubernetes Deployment (18 Days)

• Deploy scalable services.
• Implement autoscaling.
• Configure ConfigMaps & Secrets.

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Phase 7 – CI/CD Automation (14 Days)

• Automate build & deployment.
• Implement rollback strategy.

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Phase 8 – Monitoring & Alerts (10 Days)

• Configure Prometheus metrics.
• Create Grafana dashboards.
• Implement alert thresholds.

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Phase 9 – Integration & Optimization (6 Days)

• Load testing.
• Performance optimization.
• Documentation finalization.

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✅ Final Outcome

✔ Real-time inventory tracking
✔ Automated deployments
✔ Scalable microservices
✔ Monitoring & alerting system

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