Home
World Journal of Advanced Research and Reviews
International Journal with High Impact Factor for fast publication of Research and Review articles

Main navigation

  • Home
    • Journal Information
    • Editorial Board Members
    • Reviewer Panel
    • Abstracting and Indexing
    • Journal Policies
    • Our CrossMark Policy
    • Publication Ethics
    • Issue in Progress
    • Current Issue
    • Past Issues
    • Instructions for Authors
    • Article processing fee
    • Track Manuscript Status
    • Get Publication Certificate
    • Join Editorial Board
    • Join Reviewer Panel
  • Contact us
  • Downloads

eISSN: 2581-9615 || CODEN: WJARAI || Impact Factor 8.2 ||  CrossRef DOI

Research and review articles are invited for publication in March 2026 (Volume 29, Issue 3) Submit manuscript

Optimizing costs and reducing DevOps Overhead with the Kafka to SNS-SQS Integration: A comprehensive analysis

Breadcrumb

  • Home
  • Optimizing costs and reducing DevOps Overhead with the Kafka to SNS-SQS Integration: A comprehensive analysis

Bhupender Kumar Panwar *

Salesforce Inc., USA.

Review Article

World Journal of Advanced Research and Reviews, 2025, 26(01), 585-592

Article DOI: 10.30574/wjarr.2025.26.1.1061

DOI url: https://doi.org/10.30574/wjarr.2025.26.1.1061

Received on 25 February 2025; revised on 02 April 2025; accepted on 04 April 2025

The integration of Apache Kafka with AWS Simple Notification Service (SNS) and Simple Queue Service (SQS) represents a strategic approach for organizations seeking to optimize their event-driven architectures. This article explores how this hybrid model addresses the inherent challenges of traditional Kafka deployments by leveraging cloud-native messaging services. By decoupling message production from consumption through SNS's fan-out capabilities and SQS's serverless queuing, enterprises can significantly reduce infrastructure costs while eliminating complex operational overhead. The Kafka to SNS-SQS pattern enhances system reliability through AWS-managed durability features and simplified failure handling mechanisms, ultimately creating a more resilient and maintainable architecture that allows engineering teams to redirect resources from system maintenance to business innovation. 

Event-Driven Architecture; Infrastructure Optimization; Serverless Messaging; Devops Automation; Cloud-Native Integration

https://wjarr.com/sites/default/files/fulltext_pdf/WJARR-2025-1061.pdf

Preview Article PDF

Bhupender Kumar Panwar. Optimizing costs and reducing DevOps Overhead with the Kafka to SNS-SQS Integration: A comprehensive analysis. World Journal of Advanced Research and Reviews, 2025, 26(1), 585-592. Article DOI: https://doi.org/10.30574/wjarr.2025.26.1.1061

Copyright © Author(s). All rights reserved. This article is published under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits use, sharing, adaptation, distribution, and reproduction in any medium or format, as long as appropriate credit is given to the original author(s) and source, a link to the license is provided, and any changes made are indicated.


All statements, opinions, and data contained in this publication are solely those of the individual author(s) and contributor(s). The journal, editors, reviewers, and publisher disclaim any responsibility or liability for the content, including accuracy, completeness, or any consequences arising from its use.

Get Certificates

Get Publication Certificate

Download LoA

Check Corssref DOI details

Issue details

Issue Cover Page

Editorial Board

Table of content

Copyright © 2026 World Journal of Advanced Research and Reviews - All rights reserved

Developed & Designed by VS Infosolution