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Google Machine Learning

Crawler Crawler

Overview

Google Cloud Machine Learning is a managed service that enables you to easily build machine learning models, that work on any type of data, of any size.

Get metrics from Google Machine Learning to:

  • Visualize the performance of your ML Services
  • Correlate the performance of your ML Services with your applications

Setup

Installation

If you haven’t already, set up the Google Cloud Platform integration first. There are no other installation steps that need to be performed.

Data Collected

Metrics

gcp.ml.error_count
(count)
Cumulative count of prediction errors.
shown as error
gcp.ml.latency
(gauge)
Latency of a certain type.
shown as millisecond
gcp.ml.prediction_count
(count)
Cumulative count of predictions.
shown as prediction
gcp.ml.response_count
(count)
Cumulative count of different response codes.
shown as response
gcp.ml.cpu_utilization
(gauge)
Fraction of the allocated CPU that is currently in use.
shown as percent
gcp.ml.memory_utilization
(gauge)
Fraction of the allocated memory that is currently in use.
shown as percent

Events

The Google Cloud Machine Learning integration does not include any event at this time.

Service Checks

The Google Cloud Machine Learning integration does not include any service check at this time.

Troubleshooting

Need help? Contact Datadog Support.