How do I use the parallel section in a pipeline as code?

The parallel section in a pipeline as code allows you to run multiple instances of a job concurrently, distributing the workload across multiple runners or resources. This can significantly speed up the execution time of your pipeline by running tasks in parallel.

Here's how you can use the parallel section in your pipeline as code:

job:
  script:
    - echo "Running job"
  parallel:
    matrix:
      - INSTANCE: ["A", "B", "C"]

In the above example, the job is configured to run in parallel using a matrix. The matrix defines a list of values for the INSTANCE variable, which represents different instances or resources where the job will run. In this case, the job will run three times, each time with a different value for the INSTANCE variable: "A", "B", and "C".

You can customize the matrix based on your requirements, specifying different variables and their corresponding values. This allows you to distribute the workload across multiple resources, such as different servers, containers, or virtual machines.

By leveraging the parallel section, you can take advantage of concurrent execution and optimize the performance of your pipeline. However, keep in mind that not all jobs can be easily parallelized, as there may be dependencies or conflicts between them. It's important to carefully consider the dependencies and resource requirements of your jobs before implementing parallel execution.

Using the parallel section in your pipeline as code, you can harness the power of parallelization to accelerate the execution of your jobs and improve the overall efficiency of your pipeline.