2025 · Implementation
Real-Time Agent Monitoring Dashboard
Designed and shipped a monitoring dashboard for tracking agent performance, token economics, and task completion metrics across a fleet of production AI agents.
observability dashboards react
Overview
Built a real-time monitoring dashboard for an AI infrastructure company running hundreds of agent instances. The dashboard provides visibility into agent health, performance, and cost across the entire fleet.
Features
- Live agent status — real-time view of all running agents, their current tasks, and health indicators
- Token economics — cost tracking per agent, per task type, and per model with trend analysis
- Performance metrics — task completion rates, average latency, and reasoning loop depth distributions
- Alerting — configurable thresholds for cost anomalies, stuck agents, and degrading performance
- Trace viewer — drill-down into individual agent traces to inspect decision-making processes
Tech Stack
- Frontend: React with Recharts for real-time visualizations
- Backend: FastAPI with WebSocket connections for live data
- Data pipeline: ClickHouse for time-series metrics, PostgreSQL for configuration
- Infrastructure: Kubernetes with horizontal pod autoscaling
Results
- Mean time to detect agent issues reduced from 15 minutes to under 30 seconds
- Identified $12K/month in token waste through usage pattern analysis
- Adopted by 3 internal teams within the first month of deployment