Automate Amazon Aurora Global Database Using Cloud Formation

Kondala Rao Patibandla ()

Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023, 2024, vol. 2, issue 1, 262-270

Abstract: This article provides an in-depth guide on deploying an AWS Aurora Global Database using AWS CloudFormation. It covers the benefits of Aurora Global Databases, such as high availability, low-latency global reads, and disaster recovery capabilities. The article details the CloudFormation template structure and key parameters needed to set up the Aurora Global Database, enabling seamless data replication across multiple AWS regions. Practical examples and best practices are included to ensure a robust and efficient deployment process.

Keywords: AWS RDS; Aurora RDS; Global Database; RDS cluster; Aurora Global Database (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:

Downloads: (external link)
https://newjaigs.com/index.php/JAIGS/article/view/209 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:das:njaigs:v:2:y:2024:i:1:p:262-270:id:209

Access Statistics for this article

Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023 is currently edited by Justyna Żywiołek

More articles in Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023 from Open Knowledge
Bibliographic data for series maintained by Open Knowledge ().