GitHub Actions / Events, execution, and data boundaries

GitHub Actions β€” Events, execution, and data boundaries

Trace a run from event selection through jobs, matrices, and retained outputs.

6 lessons Β· No account required

What you will learn

  • Identify the exact object and revision being discussed.
  • Choose explicit scheduling and data-transfer mechanisms.

  1. Workflow, job, step, and action boundaries

    Read an Actions definition as an event-driven execution graph with distinct state boundaries.

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  2. YAML, contexts, and expression evaluation

    Separate configuration parsing, Actions expression expansion, and shell execution.

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  3. Events, refs, and checkout identity

    Know which event created a run and which source revision the job actually reads.

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  4. Runners, shells, and working directories

    Make execution assumptions explicit instead of depending on a familiar label.

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  5. needs, matrices, and failure behavior

    Expand deliberate test combinations and keep mandatory evidence visible through failures.

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  6. Outputs, environment files, and file artifacts

    Choose the correct data channel and preserve producer identity at every boundary.

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