UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 12 | Issue 9 | September 2025

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Published in:

Volume 10 Issue 7
July-2023
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

Unique Identifier

Published Paper ID:
JETIR2307593


Registration ID:
521611

Page Number

f736-f741

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Title

Building Highly Scalable Systems: Harnessing the power of Eventstore Model with DynamoDB (or ScyllaDB) with Kafka

Abstract

This report provides a detailed overview of a method for building systems that can grow bigger and handle lots of requests. It uses event sourcing with DynamoDB (or ScyllaDB), Kafka, and compares it to REST architecture. The report explains the basic ideas behind event sourcing and how it helps make systems scalable and durable. It also talks about the steps to follow when using event sourcing, like designing the system structure using DynamoDB for storing events and Kafka for sending events around, and setting up Event Store to manage events. The report discusses the benefits of using event sourcing over REST making systems more flexible, and handling complex tasks. It also mentions the importance of replaying events, making sure everything stays consistent, and handling events in real-time. The report ends by talking about the need to test and monitor system performance and make continuous improvements to keep the system scalable. It is a useful guide for researchers who want to use event sourcing with DynamoDB, Kafka, and Event Store to build highly scalable systems.

Key Words

Event Sourcing, CQRS

Cite This Article

"Building Highly Scalable Systems: Harnessing the power of Eventstore Model with DynamoDB (or ScyllaDB) with Kafka", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 7, page no.f736-f741, July-2023, Available :http://www.jetir.org/papers/JETIR2307593.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Building Highly Scalable Systems: Harnessing the power of Eventstore Model with DynamoDB (or ScyllaDB) with Kafka", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 7, page no. ppf736-f741, July-2023, Available at : http://www.jetir.org/papers/JETIR2307593.pdf

Publication Details

Published Paper ID: JETIR2307593
Registration ID: 521611
Published In: Volume 10 | Issue 7 | Year July-2023
DOI (Digital Object Identifier):
Page No: f736-f741
Country: Bhilai`, Chhattisgarh, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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