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Running CI jobs in sequential, parallel, and custom orders

Dec 10, 2020Itzik Gan Baruch
Running CI jobs in sequential, parallel, and custom orders
SummaryAI, from the source post

This post introduces the concepts of sequential job execution using `stages`, artifact management with `paths` and `expire_in`, and parallel job execution within stages. It also demonstrates how to specify Docker images using the `image` keyword and how to define job dependencies using `needs` to create Directed Acyclic Graphs (DAGs) for more flexible pipeline execution. The post also covers installing missing packages within a job's `before_script`.

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