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Cloud-native applications are increasingly adopting microservices architectures that support the development agility required by modern software. These applications deploy their components in containers that enable microservices to be deployed across different platforms, supporting the independent scaling of the different components. However, the operational complexity of microservices presents significant challenges in maintaining the performance of such applications, especially in clouds with performance variability and unpredictability. While virtual machine based deployment of applications has been well studied---with sophisticated orchestrators in the literature and practice---there has been little such studies on the opportunity in improving application performance using performance-aware deployment strategies for containers. In this paper, we consider both the runtime and initialization time performance …