Gitlab clear cache after pipeline

1. What is the difference between GitLab pipeline cache and artifacts?
2. How long does GitLab cache last?
3. How do I manually clear npm cache?
4. Is it safe to clean NPM cache?
5. What is pipeline and cache?
6. What role the cache memory can perform in pipeline implementation?
7. How do I clean up GitLab storage?
8. How do I delete old artifacts?
9. Where are GitLab pipeline artifacts stored?
10. What is the difference between caching and artifacts?
11. What are GitLab pipeline artifacts?
12. What is the difference between artifacts and cache in github?
13. What is artifacts in GitLab?

What is the difference between GitLab pipeline cache and artifacts?

Cache is stored where GitLab Runner is installed and uploaded to S3 if distributed cache is enabled. Use artifacts to pass intermediate build results between stages. Artifacts are generated by a job, stored in GitLab, and can be downloaded.

How long does GitLab cache last?

Caching on Gitlab Runner CI

The GitLab CI runners can save artifacts and use it throughout the pipeline. This can help in speeding up the build time. By default, artifacts have an expiry time of 30 days unless specified otherwise.

How do I manually clear npm cache?

How to clear cache? To clear a cache in npm, we need to run the npm cache clean --force command in our terminal.

Is it safe to clean NPM cache?

Cache corruption will either trigger an error, or signal to pacote that the data must be refetched, which it will do automatically. For this reason, it should never be necessary to clear the cache for any reason other than reclaiming disk space, thus why clean now requires --force to run.

What is pipeline and cache?

Pipeline caching can help reduce build time by allowing the outputs or downloaded dependencies from one run to be reused in later runs, thereby reducing or avoiding the cost to recreate or redownload the same files again.

What role the cache memory can perform in pipeline implementation?

A cache memory is basically developed to increase the efficiency of the system and to maximise the utilisation of the entire computational speed of the processor. The performance of the processor is highly influenced by the methods employed to transfer data and instructions to and from the processor.

How do I clean up GitLab storage?

Setting a Cleanup Policy

Visit your project in GitLab and click the “Settings” link in the sidebar. Switch to the “CI / CD” category and expand the “Clean up image tags” section near the bottom of the page. Toggle the “Enabled” button to the on position to activate the Cleanup Policy.

How do I delete old artifacts?

Under your repository name, click Actions. In the left sidebar, click the workflow you want to see. From the list of workflow runs, click the name of the run to see the workflow run summary. Under Artifacts, click next to the artifact you want to remove.

Where are GitLab pipeline artifacts stored?

The artifacts are stored by default in /home/git/gitlab/shared/artifacts . Save the file and restart GitLab for the changes to take effect.

What is the difference between caching and artifacts?

Caching persists data between the same job in different Workflow builds. Artifacts persist data after a Workflow has finished.

What are GitLab pipeline artifacts?

Pipeline artifacts are files created by GitLab after a pipeline finishes. These are different than job artifacts because they are not explicitly managed by the . gitlab-ci. yml definitions. Pipeline artifacts are used by the test coverage visualization feature to collect coverage information.

What is the difference between artifacts and cache in github?

Use caching when you want to reuse files that don't change often between jobs or workflow runs, such as build dependencies from a package management system. Use artifacts when you want to save files produced by a job to view after a workflow run has ended, such as built binaries or build logs.

What is artifacts in GitLab?

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.