TeaStore - A Micro-Service Reference Application for Performance Engineers

Abstract

Performance engineering researchers propose and employ various methods to analyze, model, optimize and manage the performance of modern distributed applications. In order to evaluate these methods in realistic scenarios, researchers rely on reference applications. Existing testing and benchmarking applications are usually difficult to set up and either outdated, designed for specific testing scenarios, or do not offer the necessary degrees of freedom. In this paper, we present the TeaStore, a micro-service-based reference application. The TeaStore offers multiple services with various performance characteristics and a high degree of freedom regarding its deployment and configuration to be used as a cloud reference application for researchers. The TeaStore is designed for the evaluation of performance modeling and resource management techniques. We invite researchers to use the TeaStore and provide it open-source, extendable, easily deployable and monitorable.