Research Article
Amazon Aurora: Insights and Benchmarks for Contemporary Application Scaling
|
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
| Volume 186 - Issue 70 |
| Published: March 2025 |
| Authors: Rahul Goel |
10.5120/ijca2025924554
|
Rahul Goel . Amazon Aurora: Insights and Benchmarks for Contemporary Application Scaling. International Journal of Computer Applications. 186, 70 (March 2025), 29-31. DOI=10.5120/ijca2025924554
@article{ 10.5120/ijca2025924554,
author = { Rahul Goel },
title = { Amazon Aurora: Insights and Benchmarks for Contemporary Application Scaling },
journal = { International Journal of Computer Applications },
year = { 2025 },
volume = { 186 },
number = { 70 },
pages = { 29-31 },
doi = { 10.5120/ijca2025924554 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2025
%A Rahul Goel
%T Amazon Aurora: Insights and Benchmarks for Contemporary Application Scaling%T
%J International Journal of Computer Applications
%V 186
%N 70
%P 29-31
%R 10.5120/ijca2025924554
%I Foundation of Computer Science (FCS), NY, USA
Abstract
Amazon Aurora is a high-performance, fully managed relational database solution designed to combine the simplicity and cost-effectiveness of open-source databases with the performance of high-end commercial databases. This paper explores Aurora’s unique architectural components, including its distributed storage layer, adaptive scaling, and replication mechanisms. It also delves into optimization techniques for maximizing throughput and minimizing latency, providing insights for engineers to design efficient and scalable systems. By analyzing benchmarks and use cases, this paper highlights best practices and trade-offs to guide application architects in achieving optimal performance.
References
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