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Omniscient DevOps Analytics

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Software Engineering Aspects of Continuous Development and New Paradigms of Software Production and Deployment (DEVOPS 2018)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 11350))

Abstract

DevOps predicates the continuity between Development and Operations teams at an unprecedented scale. Also, the continuity does not stop at tools, or processes but goes beyond into organizational practices, collaboration, co-located and coordinated effort. We conjecture that this unprecedented scale of continuity requires predictive analytics which are omniscient, that is (i) transversal to the technical, organizational, and social stratification in software processes and (ii) correlate all strata to provide a live and holistic snapshot of software development, its operations, and organization. Elaborating this conjecture, we illustrate a set of metrics to be used in the DevOps scenario and overview challenges and future research directions.

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Notes

  1. 1.

    https://jaxenter.com/true-cost-devops-adoption-138287.html.

  2. 2.

    https://chaoss.community/.

  3. 3.

    http://www.agileadvice.com/2005/05/15/agilemanagement/truck-factor/.

  4. 4.

    https://www.laser-foundation.org/devops/2018/.

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Authors and Affiliations

  1. TU/e - JADS, ’s-Hertogenbosch, The Netherlands

    Damian Andrew Tamburri

  2. Vrije Universiteit Brussel, Brussels, Belgium

    Dario Di Nucci

  3. Guardia di Finanza di Trento, Trento, Italy

    Lucio Di Giacomo

  4. University of Zurich, Zürich, Switzerland

    Fabio Palomba

Authors
  1. Damian Andrew Tamburri
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  2. Dario Di Nucci
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  3. Lucio Di Giacomo
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  4. Fabio Palomba
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Corresponding author

Correspondence to Damian Andrew Tamburri .

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Editors and Affiliations

  1. University of Toulouse, Toulouse, France

    Jean-Michel Bruel

  2. Innopolis University, Innopolis, Russia

    Manuel Mazzara

  3. Innopolis University and Politecnico di Milano, Innopolis, Russia

    Bertrand Meyer

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Tamburri, D.A., Di Nucci, D., Di Giacomo, L., Palomba, F. (2019). Omniscient DevOps Analytics. In: Bruel, JM., Mazzara, M., Meyer, B. (eds) Software Engineering Aspects of Continuous Development and New Paradigms of Software Production and Deployment. DEVOPS 2018. Lecture Notes in Computer Science(), vol 11350. Springer, Cham. https://doi.org/10.1007/978-3-030-06019-0_4

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  • DOI: https://doi.org/10.1007/978-3-030-06019-0_4

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