I Instability of water quality parameters (ph and tds) in hydroponic reservoirs often triggers crop failure due to delayed manual handling. this research designs an iot-based hydroponic monitoring system using an esp32 microcontroller, mqtt communication protocol, postgresql database, and django web dashboard. the system is also integrated with an early warning system (ews) via a whatsapp gateway featuring a 30-minute cooldown algorithm to prevent automated number blocking. experimental results show that the application of a 1-second sequential delay in the firmware successfully stabilizes sensor readings from ground loop interference. additionally, the openlitespeed web server is proven reliable under a load of 100 simultaneous users, maintaining an average response time of 190 ms and cpu utilization of 32% with zero errors. the total transmission latency from the sensor node to the web interface averages 188 ms. it is concluded that the implemented system successfully delivers responsive, stable, and spam-secure near real-time monitoring.