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Informative Article | Computer Science and Information Technology | United States of America | Volume 13 Issue 8, August 2024 | Rating: 5.2 / 10
Enhancing Cloud System Resilience: A Case Study of Amazon DynamoDB with Active - Active Compute Writer and Active - Passive Data Layer Strategies
Akshay Prabhu
Abstract: Amazon DynamoDB, a NoSQL cloud database service, is renowned for delivering consistent performance at any scale and offers global replication capabilities that facilitate the development of resilient systems. This paper investigates the application of DynamoDB in constructing highly resilient cloud systems, focusing on the strengths and weaknesses of its global tables and data replication strategies. The study particularly addresses issues such as dirty or stale reads associated with multi - region writes into DynamoDB and proposes practical solutions, including alternative technologies and architectural approaches, to improve data consistency and system resilience. By evaluating these strategies, this paper aims to provide insights into optimizing DynamoDB's deployment to ensure data integrity for real - time use cases and optimize data consistency across multiple regions. This study is significant for cloud architects and engineers who aim to leverage Amazon DynamoDB?s capabilities while ensuring high levels of data consistency and system resilience for real - time use cases and data reads.
Keywords: Amazon DynamoDB, cloud resilience, multiregion writes, active replication, data consistency
Edition: Volume 13 Issue 8, August 2024,
Pages: 1526 - 1527