MetricSynth: Framework for Aggregating DORA and KPI Metrics Across Multi-Platform Engineering
Pallav Jain, Yuvraj Agrawal, Ashutosh Nigam, Pushpak Patil

TL;DR
MetricSynth is a centralized framework that aggregates and visualizes DORA and KPI metrics from multiple tools, providing real-time insights into software engineering performance and system health.
Contribution
It introduces a scalable architecture for integrating diverse data sources and visualizing engineering metrics, reducing manual effort and enabling faster decision-making.
Findings
Reduced manual reporting by 20 person-hours per week
Enabled faster bottleneck identification
Demonstrated scalability and effective data aggregation
Abstract
In modern, large-scale software development, engineering leaders face the significant challenge of gaining a holistic and data-driven view of team performance and system health. Data is often siloed across numerous disparate tools, making manual report generation time-consuming and prone to inconsistencies. This paper presents the architecture and implementation of a centralized framework designed to provide near-real-time visibility into developer experience (DevEx) and Key Performance Indicator (KPI) metrics for a software ecosystem. By aggregating data from various internal tools and platforms, the system computes and visualizes metrics across key areas such as Developer Productivity, Quality, and Operational Efficiency. The architecture features a cron-based data ingestion layer, a dual-schema data storage approach, a processing engine for metric pre-computation, a proactive…
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Taxonomy
TopicsScientific Computing and Data Management · Software System Performance and Reliability · Personal Information Management and User Behavior
