IDEAS home Printed from https://ideas.repec.org/a/alk/jcsts0/v7y2025i3id9424.html

Deployment Automation for Scalable and Resilient E-Commerce Platforms: A Retail Sector Perspective

Author

Listed:
  • Srinivas Pagadala Sekar

    (Anna University, India)

Abstract

Deployment automation and containerization have emerged as critical enablers for retail e-commerce platforms facing the challenges of a dynamic digital marketplace. This paper examines how cloud engineering foundations provide the essential infrastructure for scalable and resilient retail systems, while deployment automation accelerates innovation cycles and market responsiveness. The advantages of containerization for retail applications are explored, highlighting the consistency and flexibility these technologies bring to complex e-commerce architectures. Container orchestration capabilities are examined for their ability to effectively manage retail system complexity and enable reliable customer experiences despite variable traffic patterns. Supplementing theoretical insights, real-world case studies from the fashion and grocery sectors demonstrate the transformative impact these technologies have on retail operations, showing substantial improvements in availability, scalability, and development velocity. Together, these integrated approaches enable retailers to create technical platforms that can adapt to unpredictable demand, maintain continuous service availability, and rapidly deploy new features in an increasingly competitive digital landscape.

Suggested Citation

  • Srinivas Pagadala Sekar, 2025. "Deployment Automation for Scalable and Resilient E-Commerce Platforms: A Retail Sector Perspective," Journal of Computer Science and Technology Studies, Al-Kindi Center for Research and Development, vol. 7(3), pages 683-689, April.
  • Handle: RePEc:alk:jcsts0:v:7:y:2025:i:3:id:9424
    DOI: 10.32996/jcsts.2025.7.3.78
    as

    Download full text from publisher

    File URL: https://al-kindipublisher.com/index.php/jcsts/article/view/9424
    File Function: Abstract page
    Download Restriction: no

    File URL: https://al-kindipublisher.com/index.php/jcsts/article/download/9424/8086
    File Function: Full text
    Download Restriction: no

    File URL: https://libkey.io/10.32996/jcsts.2025.7.3.78?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:alk:jcsts0:v:7:y:2025:i:3:id:9424. 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: Al-Kindi Center for Research and Development (email available below). General contact details of provider: https://al-kindipublisher.com/index.php/jcsts .

    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.