System Flow Charts

The system implements advanced workflow traversal with parallel execution, sophisticated retry logic, and comprehensive event-driven observability:

• DAG Traversal & Parallel Execution

  • Initial identification and queueing of root steps (no dependencies)

  • Parallel execution of independent steps at each level

  • Dynamic discovery of next executable steps as dependencies are satisfied

  • Continuous monitoring of dependency status to activate pending steps

  • Automatic task completion detection when all steps are finished

• Industry Standard Exponential Backoff

  • Base delay that doubles with each attempt: base_delay * (2^attempt)

  • Random jitter to prevent thundering herd problems

  • Configurable maximum delay cap (30 seconds)

  • Respects server-provided Retry-After headers when available

• Task Status Management

  • Real-time monitoring of all step statuses

  • Early failure detection and propagation

  • Graceful handling of unrecoverable errors

• Event-Driven Observability

  • Events published at every workflow transition point

  • Custom subscribers for external integrations (Sentry, PagerDuty, Slack)

  • OpenTelemetry integration for production observability

  • Complete event catalog for discovery and documentation

Event Flow Architecture

Throughout the workflow execution, Tasker publishes events that enable comprehensive observability and custom integrations:

• Task Events: task.started, task.completed, task.failed

• Step Events: step.started, step.completed, step.failed, step.retry_requested

• Workflow Events: workflow.viable_steps_discovered, workflow.no_viable_steps

• Observability Events: Performance and monitoring metrics

For complete documentation on the event system and creating custom subscribers, see EVENT_SYSTEM.md.