Exploring Usage of AWS Lambda in Data Processing

https://doi.org/10.55529/ijitc.42.35.42

Authors

  • Shubhodip Sasmal Senior Software Engineer, TATA Consultancy Services, Atlanta, Georgia, USA.

Keywords:

Amazon S3, Cloud, SNS (Simple Notification Service), SQS (Simple Queue Service), KMS (Key Management System), Secrets, Redshift.

Abstract

Cloud computing is changing game all around the industry. It’s delivering computing resources, such as storage, processing power without investing in and managing physical infrastructure, offering a more flexible and cost-effective approach to meet computational demands. Serverless computing is a cloud computing execution model where cloud providers automatically manage the infrastructure needed to run applications and scale. This paper examines use of AWS Lambda in Data processing, the leading serverless computing service of Amazon Web Services (AWS). Our study will explore the architecture, integration of AWS Lambda with other AWS services, real-world use cases, proposing best practices for Data processing. This research will provide a complete understanding of AWS Lambda and findings here are a valuable resource for people looking to unleash the benefits of AWS Lambda in a scalable and high-performance cloud-native application architecture.

Published

2024-02-01

How to Cite

Shubhodip Sasmal. (2024). Exploring Usage of AWS Lambda in Data Processing. International Journal of Information Technology & Computer Engineering , 4(02), 35–42. https://doi.org/10.55529/ijitc.42.35.42

Issue

Section

Aricle Publication

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