You are managing a project where multiple teams are working on different microservices, and each team has its own GitLab repository. You want to ensure that all microservices are tested and integrated simultaneously before deploying to production. Which two strategies would be most effective in achieving this using GitLab CI/CD?
You are managing a CI/CD pipeline in GitLab that needs to deploy to different environments based on the branch being merged (e.g., develop branch to staging, main branch to production). How would you configure the pipeline to ensure the correct deployment for each branch?
You are managing a GitLab project with multiple environments (development, staging, production) and you want to ensure that code changes are tested and deployed in sequence: first to development, then to staging, and finally to production. How can you achieve this?
In GitLab CI/CD, different types of executors can be used to run jobs in different environments. Which of the following is an uncommon executor for running CI/CD jobs in GitLab?
You are noticing that your GitLab CI/CD pipelines are frequently delayed because the shared runners are overloaded. What is the most effective strategy to manage the load on shared runners and ensure timely pipeline execution?