metrics

You can monitor API latency and trade execution by using Prometheus-compatible counters, gauges, and histograms to track request latency, trade fill rates, and slippage in real-time. This enables proactive issue detection for trading systems.

System monitoring tracks CPU usage, memory consumption, and event loop lag to assess application health. These gauges help identify performance bottlenecks and resource exhaustion before they impact system stability.

WebSocket performance metrics export requires a metrics registry for collection and exposition. The registry aggregates connection stability data, error rates, and latency counters into a Prometheus-compatible format for real-time alerting and analysis.

Yes, trade metrics monitoring tracks order fill rates, slippage, and execution latency specifically for trading bots. This allows operators to detect dropping fill rates or increasing slippage and intervene before significant financial impact occurs.

Yes, a metrics registry is required for collection and exposition of telemetry data. The registry aggregates counters, gauges, and histograms, enabling data export for in-depth analysis and integration with monitoring platforms.

The best way to monitor trading system health is using Prometheus-compatible metrics that combine system monitoring, API latency tracking, and trade execution data into a unified view. This approach enables real-time alerting and proactive performance optimization.