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Amazon Cloud
FileMaker AMC is a multi-user web application designed to streamline file-related tasks for both customers and the internal team. It enables customers to log in and request specific files, while the system matches their requests with the best available file from the database. Seeking a robust, scalable, and efficient solution, Foreignerds Inc. partnered with Oodles to develop a full-scale platform after successfully completing the Proof of Concept (POC) phase.
The client required a scalable cloud-based solution with an efficient file-matching algorithm within a 10-week timeline. The project involved designing and implementing the algorithm, developing a secure cloud infrastructure, and optimizing system performance. Additionally, the team focused on seamless integration with the database, ensuring multi-user support, and enhancing system reliability. Tasks included algorithm development, cloud infrastructure implementation, database integration, performance testing, and optimization to deliver a robust and scalable solution.
Our objective is to build a robust, scalable, and efficient cloud-based solution for the client, leveraging the success of the Proof of Concept (POC) phase. The project focuses on implementing a powerful file-matching algorithm and a well-architected cloud infrastructure, ensuring alignment with the client's vision through regular meetings and feedback sessions. We implemented key enhancements to deliver a seamless and efficient platform, including:
Advanced Algorithm Design – Designed a file-matching algorithm tailored to the client’s requirements, prioritizing accuracy and speed.
Efficient Implementation – Developed the solution using a robust technology stack, including Python and Node.js, ensuring smooth integration with the database and cloud infrastructure.
Cloud-Based Architecture – Built a scalable and secure cloud infrastructure to support seamless file management for multiple users.
Comprehensive Testing and Optimization – Conducted extensive testing to refine the algorithm, improving efficiency and reliability based on performance metrics.

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