Table of Contents
Table of Contents
Further Reading
What Does Artifact Mean?
An artifact is a file produced as the output of a build, test, or deployment process. Artifacts are evidence of what happened during a run. Teams store, analyze, and share them.
- Build artifacts: executable binaries and container images
- Test artifacts: reports, logs, screenshots, and videos
- Deployment artifacts: configuration files and manifests
Common Types of Test Artifacts
Why Artifacts Matter in Testing
- Traceability: a record of what was built, tested, and deployed
- Debugging: preserved logs, errors, and screenshots
- Compliance: retained test results for audits
- Collaboration: one source of truth for Dev, QA, and Ops
Without artifacts, test results disappear when a run ends. Issues become hard to track and quality hard to prove.
Common Challenges with Artifacts
- Storage sprawl: large suites generate huge amounts of data.
- Inconsistent retention: files get deleted too fast or kept forever without a policy.
- Scattered locations: artifacts spread across CI tools and cloud buckets.
- Limited visibility: developers cannot reach artifacts from other teams' workflows.
How Testkube Handles Artifacts
- Automatic collection: logs, reports, and screenshots are saved after each execution.
- Central access: results and files appear in the Testkube dashboard, CLI, and API.
- Retention control: teams set how long artifacts are kept.
- Flexible storage: artifacts can live in S3-compatible or cloud object storage.
Artifacts stay attached to their executions, so teams always have context for debugging, auditing, and centralized test observability.
Real-World Examples
- B2B SaaS UI testing: a QA team keeps Cypress screenshots and videos to debug failed UI tests.
- Performance monitoring: a DevOps team reviews k6 load reports to track behavior under stress.
- Regulated industries: an enterprise retains PDF test reports for compliance audits.
When a checkout test fails only in staging, the stored video often shows the cause in seconds. Without it, engineers rerun and hope to reproduce.
Best Practices for Managing Artifacts
- Capture on failure at minimum: screenshots and logs matter most when tests fail.
- Set retention policies: balance storage cost with audit needs.
- Name artifacts clearly: include test name, run ID, and environment.
- Centralize storage: one location beats files spread across CI tools.
- Use standard formats: JUnit XML makes reports easy to aggregate.



