Heinrich, Robert, Jung, Reiner, Zirkelbach, Christian, Hasselbring, Wilhelm and Reussner, Ralf (2017) An Architectural Model-Based Approach to Quality-aware DevOps in Cloud Applications. In: Software Architecture for Big Data and the Cloud. , ed. by Mistrik, Ivan, Bahsoon, Rami, Ali, Nour, Heisel, Maritta and Maxim, Bruce. Elsevier, Cambridge, pp. 69-89. 1st ISBN 9780128093382 DOI 10.1016/B978-0-12-805467-3.00005-3.

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Abstract

Cloud-based software applications are designed to change often and rapidly during operations to provide constant quality of service. As a result the boundary between development and operations is becoming increasingly blurred. DevOps is a set of practices for the integrated consideration of developing and operating software. Software architecture is a central artifact in DevOps practices. Architectural information must be available during operations. Existing architectural models used in the development phase differ from those used in the operation phase in terms of abstraction, purpose and content. This chapter presents the iObserve approach to address these differences and allow for phase-spanning usage of architectural models.

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