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DAG Execution
DAG Execution
How Cascades executes workflows using dependency-aware task ordering, controlled concurrency, and deterministic execution paths.
Cascades executes workflows as directed acyclic graphs (DAGs) so teams can coordinate complex workflows without losing visibility into task order, dependencies, or execution state.
Before a workflow runs, Cascades validates the graph structure to ensure tasks can execute safely and predictably.
How execution works
Each workflow is made up of connected tasks.
A task only runs when all required upstream dependencies have completed successfully.
Example:
Receive alert
→ Enrich incident
→ Notify responders
→ Trigger remediation
→ Export audit records