Directed Acyclic Graph (DAG) style dependencies between individual stages in a continuous deployment pipeline allow for a more flexible workflow and better utilize available computational resources. Imagine a simple pipeline consisting of three jobs: A syntax check A code complexity check Running all unit tests You may be tempted to group those in two stages: A) Build (consisting of jobs 1 and 2) and B) Test (consisting of the unit tests): Traditional Sequences In plain old GitLab pipelines, you would ...
