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A new discipline at the intersection of the development and operation of software systems known as DevOps has seen significant growth recently. Among the wide range of tasks of DevOps professionals, we focus on that of selecting appropriate cloud deployments for distributed applications. Despite the advent of automated software deployment and management frameworks, reasoning about good deployments still requires interaction with experts, often through discussions on online technical forums and social networks. Current social networking technologies offer basic ways to communicate. Within the DevOps community, communication on application structure and cloud deployment tradeoffs could become more effective by using knowledge present in global community-sourced information repositories. In this paper we argue for the benefits of tapping into such knowledge and for seamlessly feeding it back into the social networking platform. The social networking platform presented in this paper integrates social networking with automated deployment of applications on multi-clouds and with knowledge drawn from community-sourced information repositories. The implementation leverages two such repositories, the PaaSage repository and Chef Supermarket. Our user evaluation experiments demonstrate the value created for DevOps professionals.

Modern business information systems are typically multi-tiered distributed systems comprising Web services, application services, databases, enterprise information systems, file systems, storage controllers, and other storage systems. In such environments, data is stored in different forms at multiple tiers, with each tier associated with some level of data abstraction. An information entity owned by an application generally maps to several data entities, logically associated across tiers and related to the application. Discovery of such relationships in a distributed system is a challenging problem, complicated by the widespread adoption of virtualization technologies and by the traditional tendency to manage each tier as an independent domain. In this paper, we present a system and methodology for model-driven discovery of end-to-end application-data relationships spanning multiple tiers, from the applications to the lowest levels of the storage hierarchy. The key to our methodology involves modeling how data is used and transformed by distributed software components. An important benefit of our system, which we call Galapagos, is the ability to reflect business decisions expressed at the application level to the level of storage.