Distributed systems often present a runtime behavior different than what is expected by the programmer. Static analysis is not enough to understand the runtime behavior and to diagnoses errors. This difficulty is caused by the non-deterministic nature of distributed systems, because of their inherent characteristics, such as concurrency, communication latency and partial failure. Therefore, it’s necessary a better view of the interactions between the system’s software components in order to understand its runtime behavior. In this work we present a tool that rebuilds the interactions among distributed components, presents a view of distributed threads and remote call sequences, and allows the analysis of causality relationships. Our tool also stores the interactions over time and correlates them to the system architecture and to performance data. The proposed tool helps the developer to better understand scenarios involving an unexpected behavior of the system and to restrict the scope of error analysis, making easier the search for a solution.