Abstract
The onset of microservices and serverless computer solutions has forced an ever-increasing demand for tools and techniques to establish and maintain the quality of infrastructure code, the blueprint that drives the operationalization of large-scale software systems. In the EU H2020 project RADON, we propose a machine-learning approach to elaborate and evolve Infrastructure-as-Code as part of a full-fledged industrial-strength DevOps pipeline. This paper illustrates RADON and
shows our research roadmap.
shows our research roadmap.
Original language | English |
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Publication status | Published - 2020 |
Event | Proceedings of the 8th European Conference On Service-Oriented And Cloud Computing (ESOCC) - Duration: 28 Sept 2020 → 30 Sept 2020 https://esocc-conf.eu/ |
Workshop
Workshop | Proceedings of the 8th European Conference On Service-Oriented And Cloud Computing (ESOCC) |
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Period | 28/09/20 → 30/09/20 |
Internet address |