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Maestro user guide
- Introduction
- Getting started
- Building with Maestro BPMN
- Understanding Maestro BPMN modeling
- Opening the modeling canvas
- Modeling your process
- Aligning and connecting BPMN elements
- Autopilot for Maestro (Preview)
- Process Repository
- Implementing a simple BPMN process
- Implementing a complex BPMN process
- Debugging
- Simulating
- Evaluations (Preview)
- Common implementation scenarios
- Building with Maestro Case
- Introduction to Maestro Case
- Maestro BPMN vs. Maestro Case: when to use case management
- The Maestro Case lifecycle: from event trigger to app experience
- Build your first case with Maestro Case
- Build a Maestro Case with a coding agent (preview)
- Defining case keys (system vs. external)
- Establishing task I/O and write-back contracts
- Exit rules and early stage termination
- Modeling primary and secondary stages
- Triggering a case from Data Fabric
- Implementing stage-level personas and permissions
- Setting SLAs and automated escalation rules
- Configuring a rework loop (re-entry)
- Configuring and testing the Case Manager Agent (preview)
- Case Manager input and output contract
- Maestro Case component dictionary
- Building with Maestro Flow
- Maestro Automate
- Integrations
- Operating
- Monitoring
- Optimizing
- Reference information
Process operations capabilities in Maestro for monitoring live executions, managing running automations, and maintaining visibility after publishing a process.
After you publish a process, Maestro shifts from design mode to operational control. Process operations is the area where you monitor and manage your running automations, ensuring they execute reliably and transparently.
Use Process operations to:
- Monitor live executions. Track active and historical process instances in real time.
- Act on process runs. Pause, resume, retry, or migrate individual instances without redeploying.
- Maintain governance and compliance. Every change and variable update is logged for full traceability.
- Identify trends early. Review instance counts, fault rates, and durations to detect recurring issues before they impact SLAs.
Together, these capabilities turn Maestro into an operational command center—bridging design-time modeling with runtime management.