Runtime Metrics

JFrog ML Documentation

Products
JFrog ML
Content Type
User Guide

Runtime metrics are track anything about your models over time, from latency to error rates to prediction success rates.

The JFrog ML UI displays the model metrics in the Health in the in the Overview tab.

Health Metrics Dashboard

Metric

Description

Median response

The median time elapsed, in milliseconds, of model inference requests in the last 5 minutes.

Error percentage

The percentage of 5XX error type of total request in the last 5 minutes.

Predication success rate

The average success inference requests per minute.

Throughput

The total amount of requests, in 1-minute long windows.

Latency

The time elapsed, in milliseconds, of model inference requests. If one or more of these operations fail, this is the time to fail.

Error rate

The percentage of 5XX errors of total request in 1 aggregation of 1-minute metrics to Datadog.

Exporting Metrics to Your Grafana

JFrog ML allows to connect to the hosted Prometheus and send metrics to Grafana.

If you wish to export the metrics to your Grafana, please contact mlteam@jfrog.com.