The deployment of applications closer to end-users through fog computing has shown promise in improving network communication times and reducing contention. However, the use of fog applications such as microservices necessitates intricate network interactions among heterogeneous devices. Consequently, understanding the impact of different application and infrastructure parameters on performance becomes crucial. Current literature either offers end-to-end models that lack granularity and validation or fine-grained models that only consider a portion of the infrastructure. Our research first compares experimentally the accuracy of the existing integrated frameworks. We then combine one of these tools with a collection of validated models to obtain comprehensive metrics regarding microservice applications operating in the fog. Through a usecase, we demonstrate the effectiveness of our approach in investigating fog environments, from examining application latencies to greenhouse gas emissions.