Building a Scalable and Integrated Event-Driven Processing Framework Using AWS Lambda for Real-Time Data Applications

Authors: Anila Gogineni

DOI: https://doi.org/10.5281/zenodo.14881005

Short DOI: https://doi.org/g8494q

Country: USA

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Abstract: This paper presents a framework based on AWS Lambda for constructing a large-scale and fully integrated event processing system targeted for real time data. The framework also meets the major issues in today’s specialized data architecture such as scalability, low-latency operation, and cost. The proposed architecture of the solution effectively minimizes the operational complexity, infrastructure control, and scale absurdity with the help of AWS Lambda. The design fully aligns with other AWS services including amazon S3, DynamoDB, and EventBridge to create a strong and integrated ecosystem for data ingestion, processing as well as storage. The methodology is established in such a way that it forms a loosely coupled, yet highly cohesive system in order to deliver continuity and fault tolerance. Event sources, processing layer, and the means by which services must communicate with one another are also engineered to provide better performance, but where possible their usage and setup are as simple as can be. The implementation concentrates on data security, monitoring by AWS CloudWatch, and cost control approaches of provisioned concurrency and efficient resource uses. The analysis shows how our proposed framework provides high throughput and reliability for real-time data processing use-cases, namely IoT analytics and financial transaction monitoring. This paper demonstrates the usefulness of AWS Lambda approach to managing event-based asynchronous processes and appreciates the fact that some constraints of the architecture, such as cold-start latency, may limit its effectiveness in specific settings. The framework can be used as a scalable and cost-efficient solution for organizations using serverless computing to analyze real-time data, and provides valuable insights for future advancements of serverless architecture and Event Driven Computing.

Keywords: AWS Lambda, Event-Driven Architecture, Real-Time Data Processing, Serverless Computing, Scalability, Data Flow, AWS Services, API Gateway, DynamoDB, CloudWatch, Cloud Integration

Paper Id: 232139

Published On: 2020-09-07

Published In: Volume 8, Issue 5, September-October 2020

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