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As more and more companies are migrating (or planning to migrate) fromon-premise to Cloud, their focus is to find anomalies and deficits as early aspossible in the development life cycle. We propose Frisbee, a declarativelanguage and associated runtime components for testing cloud-nativeapplications on top of Kubernetes. Given a template describing the system undertest and a workflow describing the experiment, Frisbee automatically interfaceswith Kubernetes to deploy the necessary software in containers, launch neededsidecars, execute the workflow steps, and perform automated checks fordeviation from expected behavior. We evaluate Frisbee through a series oftests, to demonstrate its role in designing, and evaluating cloud-nativeapplications; Frisbee helps in testing uncertainties at the level ofapplication (e.g., dynamically changing request patterns), infrastructure(e.g., crashes, network partitions), and deployment (e.g., saturation points).Our findings have strong implications for the design, deployment, andevaluation of cloud applications. The most prominent is that: erroneousbenchmark outputs can cause an apparent performance improvement, automatedfailover mechanisms may require interoperability with clients, and that aproper placement policy should also account for the clock frequency, not onlythe number of cores.

Frisbee: automated testing of Cloud-native applications in Kubernetes