Hands-On Auto DevOps with GitLab CI - Analysing 4.6 Code Quality

The video tutorial covers the integration of code quality checks into a GitLab CI pipeline. It explains the use of static analysis tools to maintain code quality and demonstrates setting up a code quality job using Docker containers. The tutorial includes a practical example of running a code quality check on a feature branch and discusses the analysis of results through JSON reports. It concludes with a brief introduction to advanced GitLab features available in paid versions.

What is the primary purpose of integrating a code quality job into the build pipeline?

• To automate the deployment process

• To ensure code quality is maintained with every merge

• To increase the speed of the build process

• To reduce the number of merge requests

Which tool does GitLab use to run static analysis for code quality?

• CircleCI

• Jenkins

• Travis CI

• Docker

What is the role of Docker in Docker in the code quality job setup?

• To run multiple build pipelines simultaneously

• To create virtual machines for testing

• To provide a TCP socket connection for Docker containers

• To deploy applications to production

How does GitLab use the JSON report generated from the code quality job?

• It is used to deploy the application

• It is analyzed to identify code quality issues

• It is sent to developers via email

• It is stored in a database for future reference

Why is the code quality job typically run only on feature branches?

• To reduce the number of artifacts generated

• To avoid conflicts with other jobs

• To ensure it runs faster on master

• To save time by not running it on master

What is a benefit of using code quality reports in merge requests?

• They automatically merge the code

• They reduce the number of required approvals

• They help identify code quality improvements or regressions

• They increase the speed of the merge process

What type of features are discussed in the advanced section of the video?

• Features related to deployment automation

• Free features available to all users

• Paid features available in GitLab Enterprise Edition

• Features for increasing build speed