Automation has become a necessity for industries striving to enhance productivity and eliminate errors in the age of Industry 4.0. Automatic bottle filling devices are essential in the beverage sector for precisely filling bottles with liquids. The information gathered during the filling process is crucial for quality control and process optimization. We present a scalable, secure approach for storing data from a PLC based automatic bottle filling machine on Google Firebase using LabVIEW in this research paper. The motivation for the project came from present demand of remote dashboard to monitor the machine operation, health monitoring of machines using advance algorithm for predictive maintenance to avoid shutdown or reduce downtime. Our proposed solution involves designing a filling plant that uses a photoelectric sensor to locate bottles and a volume control to set desired levels. The system features high and low liquid level indicators, an emergency alarm with automatic stop actions. The filling nozzle drops when the bottle is identified, and two pneumatic cylinders stop six sets of bottles when a specific quantity is reached. The motor's direction, speed, and torque are managed by a variable frequency drive. PLC is mounted on the machine to handle all sequential operations, LabVIEW is gathering data from PLC and sending it on cloud for real time monitoring through remote dashboard, Real time data also enables predictive maintenance, which can significantly cut downtime and maintenance cost. Our methodology can be helpful in the beverage, alcohol, and pharmaceutical industries, as well as other industries that require real time data analysis with remote dashboard facility for the machinery.