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A Model-Driven Approach to Continuous Delivery of Cloud Resources

Abstract:

DevOps is a paradigm which brings practices and tools that optimize the software delivery time. Cloud-based DevOps processes facilitate the continuous delivery of infrastructure and software applications (i.e. cloud resources). In particular, Infrastructure as Code is the cornerstone of DevOps for automating the infrastructure provisioning based on practices from software development. There exist several Configuration Management Tools (CMTs) that use script languages to define the infrastructure provisioning to be deployed in a particular cloud provider. However, manual setting of the script languages to establish the infrastructure provisioning in a CMT for a particular cloud provider is a time-consuming and error-prone activity. For these reasons, the aim of my PhD research is proposing a model-driven approach to abstract and automate a continuous delivery process of cloud resources through model-driven techniques and DevOps. In addition, this approach seeks to cover the development process of cloud resources in development, testing and production environments.