Architectural Deep Dive and Performance Evaluation: Scaling Relational Workloads with Amazon Aurora
Year: 2025
Type: article
Abstract: Amazon Aurora, a cloud-native relational database engine, has emerged as a leading solution for scalable and high-performance database management. This paper explores Aurora’s unique architecture, focusing on its distributed storage system, adaptive scaling mechanisms, and high availability features. Through real-world case studies, we analyze how organizations have leveraged Aurora to enhance performance and scalability. Additionally, insights from prior benchmarking studies [21] provide an in-depth understanding of Aurora’s efficiency in handling dynamic workloads. This study provides insights into best practices for optimizing Aurora-based systems to achieve cost-efficient and resilient database solutions.
Author: rahul goel
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4409394540