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Recent work has shown that lightweight virtualization like Docker containers can be used in HPC to package applications with their runtime environments. In many respects, applications in containers perform similarly to native applications. Other work has shown that containers can have adverse effects on the latency variation of communications with the enclosed application. This latency variation may have an impact on the performance of some HPC workloads, especially those dependent on synchronization between processes. In this work, we measure the latency characteristics of messages between Docker containers, and then compare those measurements to the performance of real-world applications. Our specific goals are to: measure the changes in mean and variation of latency with Docker containers, study how this affects the synchronization time of MPI processes, and measure the impact of these factors on real­world applications such as the NAS Parallel Benchmark (NPB).