Author:
Samaras-Tsakiris Konstantinos,Vineet Reddy Rajula,Borges Aurindo Barros Francisco,Alvarez Fernandez Eduardo,Wagner Andreas
Abstract
The infrastructure behind home.cern and 1000 other Drupal websites serves more than 15,000 unique visitors daily. To best serve the site owners, a small engineering team needs development speed to adapt to their evolving needs and operational velocity to troubleshoot emerging problems rapidly. We designed a new Web Frameworks platform by extending Kubernetes to replace the ageing physical infrastructure and reduce the dependency on homebrew components.
The new platform is modular, built around standard components and thus less complex to operate. Some requirements are covered solely by upstream open source projects, whereas others by components shared across CERN’s web hosting platforms. We leverage the Operator framework and the Kubernetes API to get observability, policy enforcement, access control and auditing, and high availability for free. Thanks to containers and namespaces, websites are isolated. This isolation clarifies security boundaries and minimizes attack surface, while empowering site owners.
In this work we present the new system’s open-source design contrasted with the one it replaces, demonstrating how we drastically reduced our technical debt.
Reference26 articles.
1. Henderson F., Software Engineering at Google (2020), 1702.01715, http://arxiv.org/abs/1702.01715
2. Fairbanks G., Ur-Technical Debt (2020), ISSN 1937-4194
3. Kaviani N., Kalinin D., Maximilien M., Towards Serverless as Commodity: A Case ofKnative, in Proceedings of the 5th International Workshop on Serverless Computing (Association for Computing Machinery, 2019), WOSC ’19, pp. 13–18, ISBN 978-14503-7038-7
4. Banek C., Thornton A., Economou F., Fausti A., Krughoff K.S., Sick J., Why Is the LSST Science Platform Built on Kubernetes? (2019), 1911.06404, http://arxiv.org/abs/1911.06404
5. Hariri S., Kind M.C., Batch and Online Anomaly Detection for Scientific Applications in a Kubernetes Environment, in Proceedings of the 9th Workshop on Scientific Cloud Computing (Association for Computing Machinery, 2018), ScienceCloud’18, pp. 1–7, ISBN 978-1-4503-5863-7
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献