Serverless Microservices with AWS Lambda for Real-Time Data Processing

Authors: Raju Dachepally

DOI: https://doi.org/10.5281/zenodo.14881045

Short DOI: https://doi.org/g84943

Country: USA

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Abstract: In the fast-evolving world of enterprise software, the shift from traditional monolithic applications to microservices has enabled organizations to achieve greater flexibility, scalability, and resilience. Serverless computing, particularly AWS Lambda, further accelerates this transition by eliminating the need to manage underlying server infrastructure. This paper focuses on the adoption of serverless microservices for real-time data processing, highlighting the benefits, design considerations, and implementation strategies. It also covers the challenges faced in maintaining state, mitigating cold starts, and ensuring secure, fault-tolerant systems. Practical use cases, including event-driven architectures, are discussed to showcase the potential of serverless microservices to drive operational efficiency and cost optimization.

Keywords: Serverless, AWS Lambda, Microservices, Real-Time Data Processing, Event-Driven Architecture, Scalability, Cost Optimization, Fault Tolerance

Paper Id: 232143

Published On: 2019-02-03

Published In: Volume 7, Issue 1, January-February 2019

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