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The use of impedance spectroscopy is described to diagnose the condition of oil in utility transformers. Actual transformer oil samples having different dissolved fault gas and moisture concentrations were characterized by their impedance spectrum from 1 to 100 kHz using an AD5933 device (Analog Devices). The results show that the impedance spectrum of a transformer oil sample is related to its relative saturation percentage (RS). An integrated cloud-connected smart system is described to continuously monitor the condition of the oil in real-time. As proof of concept, the impedance values of oil samples were measured and transmitted to a cloud computing interface for logging and processing. The integrated system is reliable, inexpensive, and suitable for implementation on utility transformers.