IDEAS home Printed from https://ideas.repec.org/a/ids/ijdmmm/v15y2023i1p53-78.html
   My bibliography  Save this article

Capturing uncertainties through log analysis using DevOps

Author

Listed:
  • Rajeev Kumar Gupta
  • Arti Jain
  • Ruchika Kumar
  • R.K. Pateriya

Abstract

DevOps is an advancement of agile processes which is mainly used to improve the coordination between development and operation teams. Continuous practices survive within the core of the DevOps which ensures efficient pipelines and high-quality delivery of software. Using such practices in a synchronous, business dynamics compliance and ever-changing needs of clients can meet high performance and reliable final products. This research work is an attempt to propose a simplified solution, guideline and tools support for developing and maintaining quality of continuous practices that are used in the DevOps project. The system automates the correlation among various telemetry data to contribute towards enriching log analysis and reduces manual efforts. The proposed system undergoes in-depth analysis of logs, promotes quality assessments and feedback to developers, which in result, helps in deeper problem diagnosis of the telemetry data. In this work, an empirical study is carried out to gain conceptual clarity on integrated pipeline architecture and to address how automation in continuous monitoring accelerates and extends the feedback loop in the system.

Suggested Citation

  • Rajeev Kumar Gupta & Arti Jain & Ruchika Kumar & R.K. Pateriya, 2023. "Capturing uncertainties through log analysis using DevOps," International Journal of Data Mining, Modelling and Management, Inderscience Enterprises Ltd, vol. 15(1), pages 53-78.
  • Handle: RePEc:ids:ijdmmm:v:15:y:2023:i:1:p:53-78
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=129995
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ids:ijdmmm:v:15:y:2023:i:1:p:53-78. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=342 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.