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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
- Patterns library
- 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
Understanding Process monitoring
Real-time visibility into process execution in Maestro, including instance tracking, bottleneck identification, and access points for the monitoring interface.
Process monitoring gives you real-time insight into how your processes perform after deployment.
It’s where you can visually track instance execution, identify bottlenecks, and validate that processes behave as designed.
You can access Process monitoring from the Maestro Home page or from the Process operations area:
- Select a process in Instance management, then choose the Monitoring tab, or
- Open Insights directly for a broader, cross-process view.
Use Process monitoring to:
- Visualize live process execution. See which steps are running, completed, or faulted.
- Measure performance. Review durations, completion rates, and SLA compliance.
- Investigate anomalies. Drill down into slow or faulted elements to find root causes.
Monitoring helps both business and technical users move from individual instances to overall process health—turning execution data into continuous improvement signals.