NEWS · COMPANIES · #562
AWS publishes serverless Git-metrics dashboard solution using Amazon QuickSight
AWS released a serverless, event-driven pipeline that automatically collects Git metrics from GitHub and GitLab, stores results in Amazon S3, and visualizes analytics with Amazon QuickSight. The solution uses EventBridge Scheduler, Step Functions, Lambda, and CloudFormation parameters, and includes change detection, adaptive chunking, and full/incremental loads to provide near-real-time engineering analytics and support observability in the AI-Driven Development Lifecycle framework.
KEY POINTS
- AWS released a serverless, event-driven pipeline that automatically collects Git metrics from GitHub and GitLab, stores results in Amazon S3, and visualizes analytics with Amazon QuickSight.
- The solution uses EventBridge Scheduler, Step Functions, Lambda, and CloudFormation parameters, and includes change detection, adaptive chunking, and full/incremental loads to provide near-real-time engineering analytics and support observability in the AI-Driven Development Lifecycle framework.
- It gives engineering teams a low-cost, serverless way to continuously measure development activity and to establish baselines for evaluating the impact of AI coding tools.
WHY IT MATTERS
It gives engineering teams a low-cost, serverless way to continuously measure development activity and to establish baselines for evaluating the impact of AI coding tools.