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

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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Publication Details

Journal
Universal Research Reports
Published
2025-03-05
DOI
https://doi.org/10.36676/urr.v12.i1.1461
Primary Topic
Software System Performance and Reliability
Type
article
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article

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

Prof Ajay Shriram Kushwaha, Sanghamithra Duggirala
Universal Research Reports
Software System Performance and Reliability
article

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

Prof Ajay Shriram Kushwaha, Sanghamithra Duggirala
article en

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.

Universal Research ReportsVol. 12(1)
Governors State University (US), Sharda University (IN)
Openalex Percentile: Top 95%
Software System Performance and Reliability
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Event-Driven Microservices: Building Responsive and Scalable Systems with Stream Processing — Prof Ajay Shriram Kushwaha, Sanghamithra Duggirala · Universal Research Reports (2025) | TGRS Research Map | TGRS