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Continous deployment of multi-cloud systems

Published:01 September 2015Publication History

ABSTRACT

In this paper we present our mechanism and tooling for the continuous deployment and resource provisioning of multi-cloud applications. In order to facilitate collaboration between development and operation teams as promoted in the DevOps movement, our deployment and resource provisioning engine is based on the Models@Runtime principles. This enables applying the same concepts and language (i.e., CloudML) for deployment and resource provisioning at development-and operation-time.

References

  1. G. Blair, N. Bencomo, and R. France. [email protected]. IEEE Computer, 42(10):22–27, 2009. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. N. Ferry, H. Song, A. Rossini, F. Chauvel, and A. Solberg. CloudMF: Applying MDE to Tame the Complexity of Managing Multi-Cloud Applications. In UCC, 2014. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. M. Httermann. DevOps for developers. Apress, 2012. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. J. Humble and D. Farley. Continuous Delivery: Reliable Software Releases through Build, Test, and Deployment Automation. Addison-Wesley Professional, 2010. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Introduction Continuous Deployment using Models@Runtime The Deployment Engine Conclusion ReferencesGoogle ScholarGoogle Scholar

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  1. Continous deployment of multi-cloud systems

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          cover image ACM Conferences
          QUDOS 2015: Proceedings of the 1st International Workshop on Quality-Aware DevOps
          September 2015
          32 pages
          ISBN:9781450338172
          DOI:10.1145/2804371

          Copyright © 2015 ACM

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          Association for Computing Machinery

          New York, NY, United States

          Publication History

          • Published: 1 September 2015

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