Monitoring Active Models

This topic describes how to monitor your active models and access any logs related to them.

What is an Active Model?

A model that is in the Deploying, Deployed, or Stopping stages is referred to as an active model.

Cloudera Machine Learning provides two ways to monitor active models:

Monitoring Individual Models

When a model is deployed, Cloudera Machine Learning allows you to specify a number of replicas that will be deployed to serve requests. For each active model, you can monitor its replicas by going to the model's Monitoring page. On this page you can track the number of requests being served by each replica, success and failure rates, and their associated stderr and stdout logs. Depending on future resource requirements, you can increase or decrease the number of replicas by re-deploying the model.

The most recent logs are at the top of the pane (see image). stderr logs are displayed next to a red bar while stdout logs are by a green bar. Note that model logs and statistics are only preserved so long as the individual replica is active. When a replica restarts (for example, in case of bad input) the logs also start with a clean slate.