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Towards an Extensible Approach for Generative Microservice Development and Deployment Using LEMMA

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Software Architecture (ECSA 2021)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13365))

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Abstract

Microservice Architecture (MSA) is an approach to implement scalable and maintainable software systems. However, when compared to monolithic applications, MSA adoption also increases architecture complexity significantly. To cope with this complexity, we investigate the application of Model-driven Engineering to MSA engineering and developed an ecosystem of architecture modeling languages (AMLs), which supports the holistic capturing of stakeholder concerns towards heterogeneous parts of a microservice architecture.

This paper enriches our AML ecosystem with an extensible approach for generating adaptable microservice code and deployment specifications from MSA models. To this end, we first derive requirements for such an approach from MSA characteristics and present two compliant realizations. Next, we integrate the approach with our AML ecosystem by defining a process for MSA model construction and processing, and the manual adaptation of generated artifacts. We validate the effectiveness of our extended AML ecosystem with a case study from the Electromobility domain.

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Notes

  1. 1.

    https://archive.softwareheritage.org/swh:1:dir:ec0f3181c6f2e0ffa9295766052e067d18079c98.

  2. 2.

    https://www.spring.io.

  3. 3.

    https://www.docker.com.

  4. 4.

    https://www.kubernetes.io.

  5. 5.

    https://github.com/Netflix/eureka.

  6. 6.

    https://spring.io/projects/spring-boot.

  7. 7.

    https://micronaut.io.

  8. 8.

    https://spring.io/projects/spring-kafka.

  9. 9.

    https://github.com/SeelabFhdo/lemma/tree/main/code%20generators.

  10. 10.

    https://docs.docker.com/engine/reference/builder.

  11. 11.

    https://www.mariadb.org.

  12. 12.

    https://www.mongodb.com.

  13. 13.

    https://github.com/Netflix/zuul.

  14. 14.

    https://docs.docker.com/compose.

  15. 15.

    Funded by the German Federal Ministry of Transport and Digital Infrastructure under grant number 03EMF0203C.

  16. 16.

    https://archive.softwareheritage.org/swh:1:dir:a1ec70bc3a12387fde806dcb0b5364260541b583.

  17. 17.

    https://kafka.apache.org.

  18. 18.

    https://www.sculptorgenerator.org.

  19. 19.

    https://www.jhipster.tech/jdl.

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Authors and Affiliations

  1. IDiAL Institute, University of Applied Sciences and Arts Dortmund, Otto-Hahn-Straße 27, 44227, Dortmund, Germany

    Florian Rademacher, Jonas Sorgalla, Philip Wizenty & Simon Trebbau

Authors
  1. Florian Rademacher
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  2. Jonas Sorgalla
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  3. Philip Wizenty
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  4. Simon Trebbau
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Corresponding author

Correspondence to Jonas Sorgalla .

Editor information

Editors and Affiliations

  1. Università di Bergamo, Dalmine, Italy

    Patrizia Scandurra

  2. University of Canterbury, Christchurch, New Zealand

    Matthias Galster

  3. Politecnico di Milano, Milan, Italy

    Raffaela Mirandola

  4. KU Leuven, Kortrijk, Belgium

    Danny Weyns

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Rademacher, F., Sorgalla, J., Wizenty, P., Trebbau, S. (2022). Towards an Extensible Approach for Generative Microservice Development and Deployment Using LEMMA. In: Scandurra, P., Galster, M., Mirandola, R., Weyns, D. (eds) Software Architecture. ECSA 2021. Lecture Notes in Computer Science, vol 13365. Springer, Cham. https://doi.org/10.1007/978-3-031-15116-3_12

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  • DOI: https://doi.org/10.1007/978-3-031-15116-3_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-15115-6

  • Online ISBN: 978-3-031-15116-3

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