The following page may contain information related to upcoming products, features and functionality. It is important to note that the information presented is for informational purposes only, so please do not rely on the information for purchasing or planning purposes. Just like with all projects, the items mentioned on the page are subject to change or delay, and the development, release, and timing of any products, features or functionality remain at the sole discretion of GitLab Inc.
Artifacts are files created as part of a build process that often contain metadata about that build's jobs like test results, security scans, etc. These can be used for reports that are displayed directly in GitLab or can be published to GitLab Pages or in some other way for users to review. These artifacts can provide a wealth of knowledge to development teams and the users they support.
Job Artifacts and Pipeline Artifacts are both included in the scope of Build Artifacts to empower GitLab CI users to more effectively manage testing capabilities across their software lifecycle in both the gitlab-ci.yml or as the latest output of a job.
For information about storing containers or packages or information about release evidence see the Package Stage direction page.
For specific information and features related to display of artifact data, check out the GitLab Features and for information about administration of artifacts please reference the Job Artifact documentation. You may also be looking for one of the related direction pages from the Verify Stage.
In 15.4 we continue instrumentation improvements beginning with the addition of usage pings for JUnit reports gitlab#339720. This new infrastructure enables quicker implementation for other report types and helps us better understand usage to prioritize features in the future as well as troubleshoot bug reports. We are also focused on resolving storage calculations for Build Artifacts as we begin to focus more on storage consumption gitlab&5754 over the next two quarters. The team is also excited to deliver our MVC for the new Artifacts page gitlab#33418. We invite user feedback as we continue to iterate on usability improvements.
Beyond this, we will continue working on our goal of providing a great artifact experience for both operators and users of GitLab there are some opportunities we can address. These are listed in priority order in this table:
| Challenge | Related Epics & Issues | |
| 1 | There is no easy way to manage and analyze all artifacts in a Project. Downloading artifacts from jobs/pipelines and comparing or analyzing them is painful today given the sizes of the files and the other workarounds that are necessary. | gitlab&7473 |
| 2 | Artifacts are hard to manage | gitlab&5754 |
| 3 | Reports from child pipelines are hard to find | gitlab&4019 |
| 4 | MR reports do not have visibility to child pipeline artifacts | gitlab&8205 |
We will continue to improve instrumentation through FY23 Q3 to increase monitoring capabilities for artifact usage in gitlab#339721.
The Gitlab Sales teams are looking for more complex ways for customers to make use of Ultimate and Premium features like SAST and DAST with monorepos by letting customers namespace parts of reports to more granular analysis or combining Matrix Builds and Metrics Reports.
The most popular customer request is for the ability to support the generation of multiple artifacts per job to reduce the need for pipeline logic to make select files available to later jobs.
One of our most complicated request, is to handle the expire_at experience in self-managed customers better. Today, our implementation deletes data as expected for GitLab.com users, and shouldn't do the same for self-managed.
The Gitlab quality team has requested the ability to upload artifacts from a job when it fails due to a timeout to assist in debugging those pipeline failures.
The team is also investigating performance issues related to the build artifact feature set as part of our focus on Availability and Performance.
To meet our long term vision that enables users to more easily use and manage their Build Artifacts we will need to add and improve the usability of artifact in the UI. We understand limitations on artifact size remains a challenge and we need to provide optimized solutions for management of artifacts through an API to delete artifacts and an API to upload artifacts directly to GitLab without them being generated by a pipeline.