Designing Elasticity Policies for Cloud-Native Applications with Slingshot

Engineering cloud-native applications that provision resources autonomously to match the demand is a continuous and shared concern for stakeholders in the development process. Model-based performance engineering approaches help for up-front engineering of elasticity policies that control the adjustment of resources at runtime. Specifically, the Palladio approach allows stakeholders in the development process to model the application from various viewpoints and make performance predictions. This paper demonstrates Slingshot for designing elasticity policies for cloud-native applications. We make two contributions that build upon the Palladio approach. One contribution is a separate view-point for modeling elasticity policies for cloud-native applications. The second contribution is the Slingshot simulator capable of predicting the performance of modeled elasticity policies.