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Workflow monitoring observes running process and pipeline executions, collects metrics, events and traces, and makes state and throughput visible. It supports error detection, SLA monitoring and root-cause analysis across end-to-end pipelines. Effective workflow monitoring requires instrumentation, event correlation and a central observability backbone.
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Workflow monitoring observes running processes, their states and their outcomes so deviations become visible.
Workflow monitoring grew from operational oversight of business processes and software systems. The observability movement extended it with correlated logs, metrics and traces; OpenTelemetry provides open technical specifications for this approach.
Each workflow step produces states and signals. Monitoring collects them, associates them with a run, and exposes delays, errors and bottlenecks through dashboards and alerts.
The process state is observed continuously.
Signals are associated with a workflow run and analyzed.
Dashboards and alerts support operations and troubleshooting.
Workflow monitoring helps teams detect blocked or failing processes early and improve them deliberately.
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