Request Distribution & Monitoring System

The Cloud-based Automated System for Data Processing is an innovative solution designed to efficiently handle vast volumes of data. This cutting-edge system boasts advanced capabilities that enable it to dynamically scale up or scale down based on the size of the data being processed. Leveraging a comprehensive technology stack that includes Docker, Kubernetes, GCP, Azure, .NET Core, and REST API, this project represents a robust and scalable framework for streamlined data processing in the cloud.

By harnessing the power of cloud computing and containerization through Docker and Kubernetes, this system ensures optimal resource allocation and utilization. It effectively eliminates the need for manual intervention in scaling operations, as the system autonomously adjusts its capacity to accommodate varying data workloads.

The project leverages the rich features and services provided by Google Cloud Platform (GCP) and Azure, two leading cloud providers renowned for their reliability, scalability, and security. These platforms offer a robust infrastructure to support the seamless execution of data processing tasks, ensuring high performance and availability.

The implementation of .NET Core as the programming framework enables the development of efficient and scalable applications, allowing for streamlined data processing operations. The REST API architecture facilitates seamless communication and integration with other systems and applications, enhancing interoperability and ease of use.

Overall, this Cloud-based Automated System for Data Processing presents an advanced solution that effectively handles large-scale data processing requirements. With its dynamic scalability, efficient resource management, and utilization of leading-edge technologies, this project is poised to revolutionize data processing workflows and drive productivity gains for organizations across various industries.