Aquaculture has positioned itself at the same level with fishing activity. By 2030, global fish consumption will be 60% from aquaculture and 40% from fishing. Water quality is an important factor in the breeding process of a fish, the most important physic-chemical parameters are dissolved oxygen, pH and water temperature. Those parameters must be monitored to avoid problems in aquaculture production like delay in growth of the fish and mortality. In previous researches technological solutions are presented using an IoT device, in most cases they used a local server, on the other hand the collected data were stored in an excel file or a database. In this experiment we chose two parameters, pH and temperature. We carried out two tests, the first consisted of calculating the error rate of the pH sensor. The second test was made on an aquarium in Peru. The objective of the solution is to provide real-Time information to fish-farmers to anticipate risks and have a more efficient production. The results of the tests made are: The error rate of the pH sensor is 3.39 % and it is good because it is less than 5%. On the other hand, the results obtained in the aquarium remained within the acceptable range, however, it showed alerts to the keeper of the aquarium when the pH were lower than 6, because water get more acid when pH is near to 0 making that fishes get illness that will kill them in some cases. In conclusion, our proposal helps the farmers to have the information of their ponds in real time so they can take action against possible risks in their production.