• DocumentCode
    3722451
  • Title

    Architectural Support for DevOps in a Neo-Metropolis BDaaS Platform

  • Author

    Hong-Mei Chen;Rick Kazman;Serge Haziyev;Valentyn Kropov;Dmitri Chtchourov

  • Author_Institution
    ITM Dept., Univ. of Hawaii, Honolulu, HI, USA
  • fYear
    2015
  • Firstpage
    25
  • Lastpage
    30
  • Abstract
    Big data as a Service (BDaaS) provides a viable strategy for organizations to implement scalable, tailorable big data infrastructure and applications built on this infrastructure. New trends in the BDaaS market are moving toward an open world model -- what we call the Neo-Metropolis model -- for developing BDaaS platforms. The key to the success of such large-scale technology-agnostic platforms, we posit, is an architectural strategy revolving around microservices and DevOps. This article presents the results of an action research with a Neo-Metropolis BDaaS vendor and illustrates how architectural support for DevOps is critical in achieving desired system qualities and enabling platform success. This research contributes to illuminate best practices of DevOps, and to validate and augment a set of DevOps tactics previously developed, while adding and recategorizing new instances of well-established architectural tactics.
  • Keywords
    "Kernel","Big data","Organizations","Market research","Computer architecture","Production","Testing"
  • Publisher
    ieee
  • Conference_Titel
    Reliable Distributed Systems Workshop (SRDSW), 2015 IEEE 34th Symposium on
  • Type

    conf

  • DOI
    10.1109/SRDSW.2015.14
  • Filename
    7371437