A Framework for Developing DevOps Operation Automation in Clouds using Components-off-the-Shelf

ABSTRACTDevOps is an emerging paradigm that integrates the development and operations teams to enable fast and efficient continuous delivery of software. Applications and services deployed on cloud platforms can benefit from implementing the DevOps practice. This involves using different tools for enabling end-to-end automation to ensure continuous deployment and maintain good Quality-of-Service. Self-Adaptive systems can support the DevOps process by automating service deployment and maintenance without manual intervention by employing a MAPE-K (Monitoring, Analysis, Planning, Execution- Knowledge) framework. While industrial MAPE-K tools are robust and built for production environments, they lack the flexibility to adapt large applications on multi-cloud environments. Academic models are more flexible and can be used to perform sophisticated self-adaption, but can lack the robustness to be used in production environments. In this paper, we present a MAPE-K framework that is built with existing Components-off-the-Shelf (COTS) that interacts with each other to perform self-adaptive actions on multi-cloud environments. By integrating existing COTS, we are able to deploy a MAPE-K framework efficiently to support DevOps for applications running on a multi-cloud environment. We validate our framework with a prototype implementation and demonstrate its practical feasibility by a detailed case study done on a real industrial platform.