High-Performance Analytic Platform: This project explores using container technology, cloud computing, and auto-scaling to create a cost-effective and high-performance platform for oil palm analytics. It also focuses on deep learning and Federated Learning to address industry challenges while considering data privacy. The findings highlight enhanced resource efficiency, scalability, and data processing speed, with cost savings compared to traditional server-based solutions. However, potential challenges and privacy risks are also acknowledged.​