How to become more productive with Gitlab CI

What this post added

This post introduces strategies to enhance GitLab CI/CD pipeline productivity. It details the use of Directed Acyclic Graphs (DAG) with the `needs:` keyword to enable concurrent job execution, reducing pipeline wait times. It also explains how `parallel:` keyword increases work productivity by running multiple instances of a job simultaneously, and how `parallel: matrix:` jobs break down large pipelines into manageable parts. The post further discusses parent/child pipelines for better dependency management in monorepos and introduces merge trains for stable target branches. Finally, it highlights the ability to configure multiple caches in a single job for performance gains and explains how efficient pipelines can save money.