Migration to Containerized Cloud Infrastructure for Scalable Inventory Management Application

The client operates a complex inventory and order management application built on a monolithic architecture, which has become increasingly difficult to manage and scale as business demands grow. The existing infrastructure leads to high operational costs, limited scalability, and performance bottlenecks, hindering rapid deployment and secure management of sensitive data. They seek to migrate to a more flexible, containerized cloud environment to improve scalability, reduce costs, and enhance system security and performance.

A mid-sized manufacturer specializing in glass production and processing, aiming to optimize their inventory and order management systems for scalability and cost-efficiency.

• Migrate the existing application from an on-premise or regional cloud setup to a centralized, cloud-based infrastructure.
• Transform the monolithic architecture into a modular, containerized system for independent scalability and easier management.
• Implement cloud-native solutions for improved scalability, high availability, and performance.
• Reduce infrastructure and operational costs through optimized resource utilization and automation.
• Establish separate development, staging, and production environments for streamlined deployment workflows.
• Deploy a Content Delivery Network (CDN) to minimize latency and improve user experience.
• Integrate managed database services to ensure high durability, availability, and secure data management.
• Secure sensitive application secrets and credentials using cloud-native secret management tools.
• Implement SSL/TLS certificates management for secure client-server communication.
• Enable comprehensive monitoring, logging, and autoscaling capabilities to handle variable traffic loads.

• Containerization of application components using Docker or equivalent technology.
• Management of containers via orchestration tools such as a managed container service or Kubernetes.
• Automated deployment pipelines for development, staging, and production environments.
• Integration with cloud database services (e.g., relational database engines) for scalable, managed data storage.
• Implementation of content delivery networks to optimize static content delivery.
• Secure secret and credential management through cloud-native tools.
• Automated SSL/TLS certificate provisioning and renewal for secure communication.
• Monitoring and alerting systems for performance and fault detection.
• Autoscaling based on real-time load metrics to ensure consistent performance under variable traffic.

• Database systems for persistence and high availability
• Content Delivery Network for static asset acceleration
• Secret management systems for secure credentials handling
• Monitoring and alerting tools for system health and performance tracking

• System must support autoscaling to handle traffic fluctuations, with minimum downtime.
• Application should achieve high availability with 99.9% uptime SLA.
• Secure handling of sensitive data with encryption at rest and in transit.
• Load testing to validate system capacity to handle projected traffic volumes.
• Automated deployment processes to enable rapid provisioning and rollback.
• Latency should be minimized through CDN integration, targeting sub-100ms response times for static content.

The project is expected to significantly improve system scalability and availability, enabling the application to handle increased traffic with minimal latency. Infrastructure costs are projected to decrease through optimized resource allocation and automation. Enhanced security measures will protect sensitive data, while the modular, containerized architecture will facilitate faster deployment cycles and easier environment replication for future projects. Overall, these improvements will support the client’s growth objectives, improve operational efficiency, and ensure a resilient, high-performance system.