Test Artifact

Files or data generated as a result of running a test, such as logs, screenshots, or performance reports. Testkube stores and manages test artifacts for analysis and debugging.

Table of Contents

What Does Test Artifact Mean?

A test artifact is any file, dataset, or output produced during or after a test execution. Common examples include execution logs, screenshots, error traces, coverage reports, or performance metrics. These artifacts serve as evidence of test outcomes and help teams investigate issues, validate fixes, and maintain traceability throughout the testing lifecycle.

Why Test Artifacts Matter

Test artifacts provide critical visibility into what happened during a test. Without them, debugging and root cause analysis become guesswork. By preserving and organizing artifacts, teams can:

  • Reproduce and analyze failed test scenarios.
  • Share results and reports across teams for collaboration.
  • Track changes over time to verify consistent performance.
  • Ensure compliance by retaining audit-ready testing evidence.

Test artifacts are especially valuable in distributed or cloud-native environments, where tests may run across multiple clusters and ephemeral containers.

How Test Artifacts Work with Testkube

  • Automatic Collection: Testkube automatically captures artifacts such as logs, output files, screenshots, and reports from each test execution.
  • Centralized Storage: Artifacts are securely stored in persistent Kubernetes volumes or external storage systems.
  • Accessible via Dashboard or CLI: Users can view or download artifacts directly through the Testkube UI, CLI, or API.
  • Historical Tracking: Testkube maintains execution history and links each artifact to its corresponding test run for easy traceability.
  • Integration Support: Artifacts can be exported to third-party tools like Grafana, ELK Stack, or S3 for extended analysis and reporting.

Frequently Asked Questions (FAQs)

Testkube Test Artifacts FAQ
Testkube captures logs, screenshots, reports, and any output files generated during test execution.
Artifacts are stored in persistent Kubernetes volumes by default but can also be configured to use external storage backends.
They can be accessed through the dashboard, CLI, or API after each test run.
Retention policies can be configured to automatically delete older artifacts and manage storage usage.

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