연구 분야: Software Development
학회: Symposium and Summer School on Service-Oriented Computing
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 In most cases, this means de-composing monolithic applications, refactoring components and replacing outdated homegrown deployment technologies with cloud-native, automated deployment and orchestration services.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.
| 발행 연도 | 2023년 |
|---|---|
| 인용수 | 0 |
| 출판 국가 | Germany |
| 사이트 | Springer |
| 좋아요 수 | 0 |