Work

Competency module of shift-left architecture in big data

Year: 2025

Type: conference-paper

Abstract: This research article explores the integration of a Competency module within the Shift-Left Architecture framework tailored for Big Data streaming systems.This study demonstrates that the proposed module significantly enhances maintainability, enables early issue detection, and improves risk assessment.Leveraging automation, real-time monitoring, and proactive validation, the Competency module streamlines configuration management, optimises streaming pipelines and accelerates processing efficiency.Key findings reveal its capability to validate source configurations proactively, reconfigure processing engines, and propose enhancements, reducing manual intervention and minimising downtime.This research contributes a robust framework that strengthens the efficiency, reliability, and scalability of Big Data streaming architectures, offering valuable insights for implementing Shift-Left principles effectively.

DOI: 10.31110/colins/2025-3/003

Authors: Victoria Vysotska, Iryna Kyrychenko, Vadym Demchuk, Nadiia Babkova

Institutions: Lviv Polytechnic National University, Kharkiv National University of Radio Electronics, National Technical University "Kharkiv Polytechnic Institute"

Language: English

Topic: Software System Performance and Reliability

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

OpenAlex ID: W7084057020

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