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Digital Transformation and the Role of Dynamic Tooling in Extracting Microservices from Existing Software Systems

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Systems, Software and Services Process Improvement (EuroSPI 2021)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1442))

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Abstract

The emergence of microservices architecture has promised to offer scalable, maintainable, evolvable, agile, and failure-resilient software products attracting software companies to migrate their legacy systems to a microservices architecture. However, the migration process imposes a technical challenge to effectively identify potential microservice candidates from medium and large monolithic codebases. In recent years, automatic and semi-automatic migration methods analysing the static and the dynamic behaviour of monoliths at runtime are getting a growing attention. Along with the methods, dynamic data collection tools are proposed. In this paper, we systematically review, compare, and contrast dynamic data collection tools using criteria that were developed from existing studies on monolithic to microservice migration. We identified eight dynamic data collection tools and analysed the features using four open source codebases from Github. The paper further presents an in-depth study of two fitting tools applying them over the selected codebases. Such analysis enables researchers and practitioners to make informed decisions in the selection of dynamic data collection tools to automatically/semi-automatically migrate legacy codebases.

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Notes

  1. 1.

    https://kieker-monitoring.net/.

  2. 2.

    https://github.com/gousiosg/java-callgraph.

  3. 3.

    https://github.com/jazzband/django-silk.

  4. 4.

    https://github.com/dbeaver/dbeaver.

  5. 5.

    https://www.ej-technologies.com/products/jprofiler/overview.html.

  6. 6.

    https://github.com/aragozin/jvm-tools.

  7. 7.

    https://github.com/openzipkin/brave.

  8. 8.

    https://github.com/eclipse/eclipse.jdt.ls.

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Acknowledgment

This research is supported in part by the Department of Enterprise, Trade and Employment, Ireland under the Disruptive Technologies Innovation Fund grant number DT20180116, and also supported in part, by Science Foundation Ireland grant number 13/RC/2094_P2 to Lero - the Science Foundation Ireland Research Centre for Software.

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Authors and Affiliations

  1. Dublin City University and Lero, The SFI Research Centre for Software, Dublin, Ireland

    Neil Lapuz, Paul Clarke & Yalemisew Abgaz

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  1. Neil Lapuz
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  2. Paul Clarke
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  3. Yalemisew Abgaz
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Correspondence to Neil Lapuz .

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Editors and Affiliations

  1. Gazi University, Ankara, Turkey

    Murat Yilmaz

  2. Dublin City University, Dublin, Ireland

    Paul Clarke

  3. I.S.C.N. GesmbH, Graz, Austria

    Richard Messnarz

  4. IMC University of Applied Sciences Krems, Krems, Austria

    Michael Reiner

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Lapuz, N., Clarke, P., Abgaz, Y. (2021). Digital Transformation and the Role of Dynamic Tooling in Extracting Microservices from Existing Software Systems. In: Yilmaz, M., Clarke, P., Messnarz, R., Reiner, M. (eds) Systems, Software and Services Process Improvement. EuroSPI 2021. Communications in Computer and Information Science, vol 1442. Springer, Cham. https://doi.org/10.1007/978-3-030-85521-5_20

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  • DOI: https://doi.org/10.1007/978-3-030-85521-5_20

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