Workflow Monitoring
Build observability systems to track, analyze, and optimize your agentic AI workflows in production
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0 / 5 completedWhy Monitor Workflows?
In production, you can't manage what you can't measure. Workflow monitoring gives you visibility into agent performance, helps detect issues before users notice them, and provides the data needed to optimize your systems over time.
The Observability Triad
Quantitative measurements: success rates, latency, throughput, error counts
Detailed event records: what happened, when, and why. Essential for debugging.
Request flow through system: visualize execution path, identify bottlenecks.
Four Critical Benefits
Catch issues before they cascade. Alert on degrading performance, rising error rates, or stuck workflows.
Identify slow operations, inefficient patterns, and resource bottlenecks. Use data to guide improvements.
Understand usage patterns and growth trends. Scale infrastructure proactively, not reactively.
Track workflow outcomes, user behavior, and operational efficiency. Connect tech metrics to business goals.
Interactive: Real-Time Metrics Dashboard
This simulates a live monitoring dashboard. Click "Refresh Metrics" to see how values change over time and how status indicators update based on thresholds:
System Health
Good monitoring starts with choosing the right metrics. Focus on indicators that directly impact user experience and business outcomes—not vanity metrics that look impressive but don't drive decisions.