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 alerting system, and utilizes the open-source BI tool Metabase for visualization, all secured with role-based access control (RBAC). The implementation resulted in a significant reduction in manual reporting efforts, saving an estimated 20 person-hours per week, and enabled faster, data-driven bottleneck identification. Finally, we evaluate the system's scalability and discuss its trade-offs, positioning it as a valuable contribution to engineering intelligence platforms.

翻译：在现代大规模软件开发中，工程领导者面临着一个重大挑战：如何获得团队绩效与系统健康状况的整体化、数据驱动视图。数据通常分散在众多异构工具中，导致手动报告生成耗时且易出现不一致性。本文介绍了一种集中式框架的架构与实现，该框架旨在为软件生态系统提供开发者体验（DevEx）与关键绩效指标（KPI）的近实时可视化。通过聚合来自各类内部工具与平台的数据，系统计算并可视化开发者生产力、质量与运营效率等关键领域的指标。该架构包含基于cron的数据摄取层、双模式数据存储方法、用于指标预计算的处理引擎、主动告警系统，并采用开源BI工具Metabase进行可视化，所有功能均通过基于角色的访问控制（RBAC）确保安全。实施结果表明，该系统显著减少了手动报告工作量，每周节省约20人时，并实现了更快速的数据驱动瓶颈识别。最后，我们评估了系统的可扩展性并讨论了其权衡，将其定位为对工程智能平台的重要贡献。