Machine learning (ML) is a subfield of artificial intelligence (AI). The goal of ML is to make computers learn from the data that you give them. Instead of writing code that describes the action the computer should take, your code provides an algorithm that adapts based on examples of intended behavior. The resulting program, consisting of the algorithm and associated learned parameters, is called a trained model.

Use the OpsRamp Google public cloud integration to discover and collect metrics against the Google service.

Setup

To set up the OpsRamp Google integration and discover the Google service, go to Google Integration Discovery Profile and select Ml Version.

Metrics

OpsRamp MetricMetric Display NameUnitAggregation Type
google_ml_prediction_error_count

Cumulative count of prediction errors.
Error countCountAverage
google_ml_prediction_latencies

Latency of a certain type.
LatencyCountAverage
google_ml_prediction_prediction_count

Cumulative count of predictions.
Prediction countCountAverage
google_ml_prediction_response_count

Cumulative count of different response codes.
Response countCountAverage

Event support

  • Supported
  • Configurable in OpsRamp Google Integration Discovery Profile.

External reference