Orchestrating Information Governance Workloads as Stateful Services Using Kubernetes Operator Framework


연구 분야: Software Development



학회: Symposium and Summer School on Service-Oriented Computing


초록

Regulatory compliance is forcing organizations to implement an information governance (IG) strategy, but many are struggling to evolve their IG solutions due to their legacy architecture, as they are not designed to adapt to new business models and for the growing amount of unstructured data produced by a potentially worldwide audience. One of the biggest problems faced is continuously determining data value and adaptation of measures to keep risks and operational costs under control. One way to solve this issue is to leverage cloud technology and find an affordable approach to migrate legacy solutions to a cloud environment. In most cases, this means de-composing monolithic applications, refactoring components and replacing outdated homegrown deployment technologies with cloud-native, automated deployment and orchestration services. Our goal is to show how operational costs can be reduced by running refactored versions of IG solutions in clouds with a minimum of human intervention. This paper discusses the steps to evolve a legacy multi-tier IG solutions from physical to containerized environments by encapsulating human operator knowledge in cloud topology and orchestration artifacts, with the goal of enabling automated deployment and operation in Kubernetes (K8s) managed execution environments.


Author Profile
Cataldo Mega

University of Stuttgart Universitätsstraße 38 56095 Stuttgart Germany

Germany

📄 논문 정보

발행 연도 2023년
인용수 0
출판 국가 Germany
사이트 Springer
좋아요 수 0

연관 논문 목록 (104건)