Competency module of shift-left architecture in big data

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.