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Towards a Taxonomy of Microservices Architectures

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Software Engineering and Formal Methods (SEFM 2017)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 10729))

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Abstract

The microservices architectural style is gaining more and more momentum for the development of applications as suites of small, autonomous, and conversational services, which are then easy to understand, deploy and scale. However, the proliferation of approaches leveraging microservices calls for a systematic way of analyzing and assessing them as a completely new ecosystem: the first cloud-native architectural style. This paper defines a preliminary analysis framework in the form of a taxonomy of concepts, encompassing the whole microservices lifecycle, as well as organizational aspects. This framework is necessary to enable effective exploration, understanding, assessing, comparing, and selecting microservice-based models, languages, techniques, platforms, and tools. Then, we analyze state of the art approaches related to microservices using this taxonomy to provide a holistic perspective of available solutions.

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Notes

  1. 1.

    Due to the space limit, the full list can be found in: https://goo.gl/j5ec4A.

  2. 2.

    https://www.openapis.org/.

  3. 3.

    https://techcrunch.com/2016/12/02/aws-shoots-for-total-cloud-domination/.

  4. 4.

    https://martinfowler.com/articles/serverless.html.

  5. 5.

    https://blog.zhaw.ch/icclab/research-directions-for-faas/.

  6. 6.

    http://microservices.io/patterns/.

  7. 7.

    E.g., Netflix Fido – https://github.com/Netflix/Fido.

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Authors and Affiliations

  1. Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milan, Italy

    Martin Garriga

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  1. Martin Garriga
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Correspondence to Martin Garriga .

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  1. Nazarbayev University, Astana, Kazakhstan

    Antonio Cerone

  2. Fondazione Bruno Kessler, Povo, Italy

    Marco Roveri

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Garriga, M. (2018). Towards a Taxonomy of Microservices Architectures. In: Cerone, A., Roveri, M. (eds) Software Engineering and Formal Methods. SEFM 2017. Lecture Notes in Computer Science(), vol 10729. Springer, Cham. https://doi.org/10.1007/978-3-319-74781-1_15

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  • DOI: https://doi.org/10.1007/978-3-319-74781-1_15

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