The integration of Elastic with the Robot Operating System (ROS) offers a robust solution for managing the vast amounts of data generated by connected devices and sensors in the rapidly growing robotics industry, which is expected to reach a global market size of US$ 230 billion by 2025. As automation and robotics become more prevalent across industries such as manufacturing and healthcare, the need for effective data management and analysis is paramount. By utilizing a distributed architecture of nodes and a publish-subscribe messaging system, ROS simplifies the development of complex robotic systems, while Elastic provides a scalable platform for real-time data ingestion and analysis. This integration allows developers to harness insights from sensor data to improve robot performance, as exemplified by companies like MM Karton, REHAU, and Clearpath Robotics. The proposed architecture involves creating a ROS node that communicates sensor data to an MQTT broker, which is then ingested by Elastic's Filebeat into Elasticsearch, enabling real-time visualization and analysis. This collaboration between Elastic and ROS empowers developers to optimize operations and innovate within the robotics field, underscoring the importance of integrating modern data solutions with robotics technology.