Metrics

The Metrics tab provides an historic view of your server's performance and health. Data updates automatically if an auto-refresh interval is set, or manually when a new time range is selected.

The Stats section displays key performance metrics as a grid of cards across the top of the page. Each card shows the current headline value plus its MIN, AVG, and MAX across the selected time range. Count-based metrics - DB Throughput, Errors, 4xx Errors, and 5xx Errors - show SUM, AVG, and MAX instead.

Metric	Description	Why It's Useful
Process CPU	Percentage of CPU used by this specific process.	Detects CPU-intensive applications or bottlenecks.
System CPU	Overall CPU usage across the system.	Helps identify if the host system is under load.
Heap Usage	Amount of heap memory currently in use.	Useful for monitoring memory leaks or high memory consumption.
GC Collection	Time spent performing garbage collection.	High values may indicate inefficient memory management.
Web Request Duration	Average time to complete a web request.	Reveals latency or slow response trends.
Web Request Throughput	Number of requests handled per minute.	Shows traffic volume and server load.
Database Throughput	Number of database operations per minute.	Helps track query load and database responsiveness.
Error Count / 4xx / 5xx Errors	Number of failed or client/server-side errors per minute.	Quickly highlights failing transactions or service issues.

Note

Panels refresh automatically if an auto-refresh interval is set using the top icon. Otherwise, they update when a new time range is selected.

Use the Select Group, Select Job, and Select Instance dropdowns to scope the stats and graphs to a specific server or service. Click + Filter to add a label filter - pick a Label, an operator (e.g. =), and a value - to narrow the data further by any metric label. Use the time-range picker (e.g. Last 1 hour) in the top right to set the window, and the separate auto-refresh control beside it to reload the data on a set interval.

The Datasources icon in the top right opens a panel where you choose which datasource to use for each type - for example, which Prometheus source backs the Metrics data.

Detailed graphs

Each graph provides historical trends for the metrics shown below.

You can:

Zoom in or out on a time range to analyze spikes or anomalies.
Hover over data points to see exact metric values.
Compare multiple metrics to find correlations (e.g., CPU spikes vs. increased error count).

Graphs include:

JIT - just-in-time compilation time
Request Duration and Web Requests - request latency and throughput
Request Status - responses by status code
Errors, 4xx Errors, and 5xx Errors - error rates by type
DB Throughput - database operations over time
Trace Throughput - traces by endpoint

This helps with root-cause analysis - understanding what led to a performance change or incident.

Metric graph actions

The top-right corner of each metric graph contains three action icons:

Ask AI - Send this metric to OpsPilot AI for natural language explanations and analysis of patterns or anomalies.
Full screen - Open the metric in full-screen view for detailed analysis and extended time ranges.
Edit thresholds - Open the Thresholds popover to set a Warning and Critical value for this metric inline (for example, as a percentage for Process CPU). Click Save to apply, or use the reset button to restore the defaults. When a metric exceeds a threshold, it is highlighted visually in the stat cards and graphs.

Need more help?

Contact support in the chat bubble and let us know how we can assist.