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Monitoring of workflow and pipeline execution, state and performance to detect errors and SLA violations early.
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.
Number of completed runs per time unit, important for capacity planning and SLA calculation.
Time from start to completion of a workflow instance to measure performance and SLA adherence.
Proportion of failed executions, relevant for reliability measurement and alerting.
Instrumentation of all pipeline stages, collection of latency metrics and traces, dashboards for SLA status.
Correlating transaction IDs across microservices, alerts on delays, daily SLA reports.
Trace-based troubleshooting combined with log and metric data for fast root-cause analysis.
Define goals and SLAs and select relevant KPIs.
Establish instrumentation standard and integrate libraries.
Build telemetry pipelines (collector, storage, query).
Implement dashboards, alerts and runbooks.
Perform regular reviews and adjust metrics.