GitLab Run Analyzer

A lightweight tool to analyze GitLab runs, helping developers and DevOps teams verify pipeline health and performance across projects.

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About This Tool

Purpose and value are focused on actionable CI/CD visibility. The analyzer pulls runs and jobs from a GitLab project, computes health metrics, and presents trend data suitable for automation and reporting. It enables DevOps teams to quickly assess pipeline reliability, identify bottlenecks, and compare performance across branches or projects. The tool is designed for automation and integration, not for code modification.
Core functionality relies on querying the GitLab API with a project identifier or repository URL, applying a time window, and optionally filtering by branch or tag. It returns a structured digest of metrics plus a daily series to observe dynamics over time. The unique value lies in combining probabilistic quality signals (success rate, durations, failure reasons) with robust edge-case handling and exportable data formats for downstream workflows.
Use cases include post-merge validation, quarterly CI health checks, and cross-project benchmarking for release readiness. The tool is especially valuable to teams practicing continuous delivery, where rapid feedback on pipeline health accelerates resolution and planning. It excels when teams need repeatable, auditable metrics that support automation and governance without requiring manual data stitching.

How to Use

  1. Provide inputs
  2. Configure scope and time window
  3. Run analysis
  4. Review metrics and trends
  5. Export JSON/CSV or feed to reports
How to use analyzer run gitlab

Frequently Asked Questions

Find Quick Answers

What is considered pipeline health?
Pipeline health is a composite measure including the pipeline success rate, average and median durations, and the distribution of failures. It is designed to reflect reliability, speed, and stability over the selected time window.
Which GitLab data is accessed?
The tool queries pipelines, jobs, durations, and statuses for the specified project and time window via the GitLab API. It uses only data necessary to compute metrics and trends.
Can I use this with private repositories?
Yes, if a valid GitLab API token with read access is provided. Private data remains accessible only to authorized users and is limited to the computed metrics.
Can results be exported for reporting?
Yes, results can be exported as JSON or CSV. This enables integration into dashboards, spreadsheets, or automation pipelines.

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