How to become more productive with Gitlab CI

This post introduces strategies to optimize GitLab CI pipeline execution speed and reduce CI minutes consumption. It details the use of Directed Acyclic Graphs (DAGs) with the `needs:` keyword for concurrent job execution, the `parallel:` keyword for running jobs in parallel to increase productivity, and `parallel: matrix:` jobs for breaking down large pipelines. It also explains parent/child pipelines for managing dependencies in monorepos and the benefits of merge trains for stable target branches. Finally, it covers configuring multiple caches in a single job and how efficient pipelines can save money.