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AWS Resilient Pattern: Implementing Change Data Capture with Reduced Data Loss

Year: 2025

Type: article

Abstract: This paper examines a proposed architecture pattern that has been evaluated to minimize data loss rates in AWS. Change Data Capture (CDC) is a methodology that detects and monitors alterations in a database, facilitating real-time or near-real-time data replication and synchronization among systems. When a CDC process is implemented within a database system, an effective failover mechanism is crucial to ensure the ongoing capture and transmission of changes. It is anticipated that some data loss may occur during the failover process. This article aims to explore the pattern designed to mitigate such data loss

Source: International Journal of Advanced Research in Science Communication and Technology

DOI: 10.48175/ijarsct-25156

Authors: Jhansi Xavier, Praveen Borra

Institution: Florida Atlantic University

Language: English

Topic: Distributed systems and fault tolerance

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

OpenAlex ID: W4409381636

FWCI:

Cites: 3

Cited by:

Related to: 10