IDEAS home Printed from https://ideas.repec.org/a/jbh/ijsrcs/v11y2025i2id1152.html

High Availability and Disaster Recovery in SQL Server: Implementing Always On Solutions for Enterprise Resilience

Author

Listed:
  • Siva Kumar Raju Bhupathiraju

Abstract

This comprehensive technical article explores SQL Server's high availability and disaster recovery solutions, focusing on Always On Availability Groups and Failover Clustering. It presents the architectural foundations, implementation methodologies, and strategic considerations for establishing resilient database environments. The article progresses through detailed discussions of replication models, multi-subnet configurations, and failover strategies while examining the critical role of Windows Server Failover Clustering. Advanced topics include geo-replication approaches, hybrid cloud implementations, and performance optimization techniques for minimizing latency in distributed environments. Through architectural guidance, implementation best practices, and real-world case studies, this resource equips database administrators and IT architects with the knowledge to design and maintain fault-tolerant SQL Server infrastructures that ensure business continuity, operational resilience, and data integrity for mission-critical applications.

Suggested Citation

  • Siva Kumar Raju Bhupathiraju, 2025. "High Availability and Disaster Recovery in SQL Server: Implementing Always On Solutions for Enterprise Resilience," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 11(2), pages 826-837, March.
  • Handle: RePEc:jbh:ijsrcs:v11:y2025:i2:id:1152
    DOI: 10.32628/CSEIT25112417
    Note: Article URL: https://ijsrcseit.com/home/article/view/CSEIT25112417
    as

    Download full text from publisher

    File URL: https://ijsrcseit.com/home/article/view/CSEIT25112417
    File Function: Article URL
    Download Restriction: no

    File URL: https://ijsrcseit.com/home/article/download/CSEIT25112417/CSEIT25112417
    File Function: Full text
    Download Restriction: no

    File URL: https://libkey.io/10.32628/CSEIT25112417?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:jbh:ijsrcs:v11:y2025:i2:id:1152. 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: Pankaj Sharma (USA) (email available below). General contact details of provider: https://ijsrcseit.com/home .

    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.