A serverless, data-driven Git metrics dashboard using Amazon Quick Sight

A tutorial for building a fully serverless pipeline that gathers Git metrics from GitHub and GitLab and displays near-real-time delivery analytics in Amazon QuickSight dashboards at low cost.

By AIWI EditorialReviewed by Chayanika DivekarAI-assisted summary · human-reviewed1 min readPublished Sep 17, 2026

Single source1 source

Reality Check

Availability: Shipping now
Hype-o-meter: Mostly substance
Who it's for: Developers · Enterprises
Do this now: Follow the AWS walkthrough to set up the serverless pipeline and connect your GitHub or GitLab metrics to QuickSight.
Claims check: Presented as a build guide; cost and near-real-time claims are stated by the publisher without specific figures.
Corroboration: Single source · 1 source

Key Takeaways

Serverless pipeline collects Git metrics from GitHub and GitLab
Data is visualized in interactive Amazon QuickSight dashboards
Provides engineering teams near-real-time delivery analytics
Designed to run at low cost

The AWS Machine Learning Blog outlines how to construct a fully serverless pipeline that automatically pulls Git metrics from both GitHub and GitLab. The collected data is then presented through interactive Amazon QuickSight dashboards, offering engineering teams near-real-time visibility into their software delivery analytics.

Why it matters

By relying on a serverless architecture, the approach aims to keep operating costs low while removing the need to manage infrastructure. Consolidating metrics from multiple Git hosting platforms into a single dashboard can give teams a unified view of delivery performance.

Who should care

Engineering teams and platform or DevOps practitioners who use GitHub or GitLab and want automated, low-cost delivery analytics on AWS will find this walkthrough relevant.

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Sources & Further Reading

A serverless, data-driven Git metrics dashboard using Amazon Quick Sight — AWS Machine Learning Blog · Sep 17, 2026

Frequently Asked Questions

Which source systems does the pipeline support?

It collects Git metrics from both GitHub and GitLab.

How are the metrics visualized?

Through interactive Amazon QuickSight dashboards.

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