Hands-On Auto DevOps with GitLab CI - Defining Artifacts

This video tutorial explains how to define and manage artifacts in GitLab CI builds. It covers declaring artifacts, capturing them from both successful and failed builds, and setting expiration times to manage disk space. The tutorial uses a Node.js application as an example, demonstrating how to capture audit results as artifacts. It also discusses handling artifacts in failed builds and the importance of artifact expiration. The video concludes with a preview of using artifacts in future stages.

What is the primary purpose of defining artifacts in GitLab CI?

• To store files for download or future jobs

• To speed up the build process

• To compile JavaScript code

• To replace the build cache

In the context of a Node.js application, what type of file is captured as an artifact?

• Compiled library

• Executable file

• Source code

• NPM audit JSON file

What happens to artifacts when a build fails by default in GitLab CI?

• They are captured only if specified

• They are partially captured

• They are not captured

• They are always captured

Which key in the GitLab CI YAML file allows capturing artifacts even if a job fails?

• paths

• cache

• when

• expire_in

What is a potential benefit of capturing audit files as artifacts?

• They offer insights into dependencies and vulnerabilities

• They provide detailed test logs

• They help compile code

• They speed up the build process

What is the purpose of the 'expire_in' key in the GitLab CI YAML file?

• To specify the cache duration

• To set the expiration time for artifacts

• To define the paths of artifacts

• To determine the build duration

Why might you want to set an expiration time for artifacts?

• To ensure artifacts are always available

• To increase build speed

• To improve security

• To reduce disk space usage