This work explores the practical implementation of Cyber-Physical Systems (CPS) within an industrial context, with a specific focus on enhancing data acquisition, automation, and monitoring processes to create a Textile Plant Digital Twin. The research is conducted in Medellín, Colombia, in collaboration with Leonisa, a prominent Colombian company specializing in underwear and women's clothing. The primary goal of this work is to improve the efficiency and reliability of industrial operations by applying CPS principles, a DevOps approach. The study successfully develops an effective system for data acquisition, incorporating various methodologies such as Node-RED services, Python applications, RFID tag tracking, and water turbidity measurement.