Event-Driven Microservices: Building Responsive and Scalable Systems with Stream Processing

Sanghamithra Duggirala; Prof (Dr) Ajay Shriram Kushwaha

doi:10.36676/urr.v12.i1.1461

Authors

Sanghamithra Duggirala Governors State University , University Park, IL, US, 60484
Prof (Dr) Ajay Shriram Kushwaha Sharda University, Knowledge Park III, Greater Noida, U.P. 201310, India

DOI:

https://doi.org/10.36676/urr.v12.i1.1461

Keywords:

Event-driven microservices, stream processing, scalability, responsiveness, asynchronous communication, real-time analytics, distributed systems, fault tolerance

Abstract

In today’s fast-evolving digital landscape, event-driven microservices have become a cornerstone for building responsive and scalable software systems. This approach decouples application functionalities into distinct, independently deployable services that communicate through asynchronous events, paving the way for more agile development and robust operational performance. Stream processing plays a critical role in this architecture by enabling real-time data ingestion, analysis, and reaction to dynamic workloads. It allows systems to process continuous data streams efficiently, ensuring that every event is handled promptly to support instantaneous decision-making. The integration of event-driven design with stream processing not only enhances system responsiveness but also improves fault tolerance, scalability, and overall reliability.

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