Metrics Tracking

Logixlysia provides built-in metrics tracking to help you monitor your application's performance and resource usage.

Available Metrics

Memory Usage

Track heap memory usage in megabytes:

logixlysia({
  config: {
    customLogFormat: '{level} {method} {path} {memoryUsage}MB'
  }
})

CPU Usage

Monitor CPU usage in seconds:

logixlysia({
  config: {
    customLogFormat: '{level} {method} {path} {cpuUsage}s'
  }
})

Response Size

Track response sizes in bytes:

logixlysia({
  config: {
    customLogFormat: '{level} {method} {path} {responseSize}B'
  }
})

Configuration

Enable metrics tracking in your configuration:

logixlysia({
  config: {
    metrics: {
      memory: true,
      cpu: true,
      responseSize: true
    }
  }
})

Custom Metrics

Add your own custom metrics:

app.use(logixlysia({
  config: {
    customLogFormat: '{level} {method} {path} {customMetric}'
  }
}))
 
app.derive(({ request }) => {
  const start = process.hrtime()
  
  return {
    beforeTime: start,
    customMetric: calculateCustomMetric()
  }
})

Best Practices

Performance Impact
- Enable only necessary metrics
- Consider sampling in high-traffic scenarios
- Monitor metrics collection overhead
Storage
- Configure appropriate retention
- Consider aggregation for long-term storage
- Use appropriate storage backend
Analysis
- Set up alerts for critical metrics
- Create dashboards for visualization
- Regular review of metric trends

Example Configurations

Production Monitoring

logixlysia({
  config: {
    metrics: {
      memory: true,
      cpu: true,
      responseSize: true
    },
    customLogFormat: '{level} {method} {path} {memoryUsage}MB {cpuUsage}s {responseSize}B'
  }
})

Development Debugging

logixlysia({
  config: {
    metrics: {
      memory: true,
      cpu: true
    },
    customLogFormat: '{level} {method} {path} {memoryUsage}MB {cpuUsage}s'
  }
})

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