kubernetes/test-infra

Test infrastructure for the Kubernetes project.

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Summary Information

Updated 54 minutes ago
Added to GitGenius on September 17th, 2026
Created on April 28th, 2016
Open Issues & Pull Requests: 130 (+0)
GitHub issues: Enabled
Number of forks: 2,965
Total Stargazers: 4,023 (+0)
Total Subscribers: 124 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 0.1 hours
Mean response time: 5.6 days
90th percentile: 6.0 days
Tracked items: 145

Most active contributors

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How this project is maintained

About 5% of issues opened in the past year have never received a reply. 36% of open issues come from outside the core team, a mix of external reports and the maintainers' own roadmap. 64% of issues opened in the past year have been closed, leaving a working backlog. Three people close 52% of everything that gets resolved.

Charts & Analytics

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Issue Activity (beta)

Open issues: 33
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 519 days
Stale 30+ days: 29
Stale 90+ days: 20

Recent activity

Opened in 7 days: 0
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

Top labels

  • sig/testing (72)
  • kind/bug (51)
  • kind/cleanup (32)
  • needs-sig (27)
  • kind/feature (22)
  • lifecycle/rotten (22)
  • lifecycle/frozen (21)
  • sig/k8s-infra (18)

Most active issues this week

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Detailed Description

Kubernetes test-infra is a testing infrastructure system that manages continuous integration, test execution, and result reporting for the Kubernetes project.

The project addresses the challenge of coordinating large-scale testing across a complex distributed system. It provides infrastructure for running tests across multiple environments, managing test jobs, collecting results, and surfacing test data through dashboards and reporting tools. The system handles the coordination of test execution pipelines and integrates with version control to trigger tests on code changes.

This tool is primarily relevant for maintainers of large open-source projects that require sophisticated testing infrastructure at scale. It suits projects with multiple test suites, diverse testing environments, and a need to track test reliability and trends over time. Organizations running Kubernetes itself or managing similarly complex testing scenarios would find this infrastructure applicable. The project is tightly integrated with Kubernetes workflows and tooling, making it most directly useful within that ecosystem, though its architectural patterns may inform testing infrastructure decisions elsewhere.

The project shows sustained development activity with regular updates to core testing components and infrastructure tooling. Work continues on maintaining and extending the test execution framework and related utilities. The codebase receives ongoing attention to keep testing infrastructure operational and responsive to project needs. Development remains focused on supporting the testing requirements of the Kubernetes project itself.