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.
To set up the Google integration to discover and collect metrics against the Google service.
Setup
To set up the Google integration and discover the Google service,
go to Google Integration Discovery Profile and select Ml Version.
Supported metrics
| OpsRamp Metric | Metric Display Name | Unit | Aggregation Type |
|---|---|---|---|
| google_ml_prediction_error_count Cumulative count of prediction errors. | Error count | Count | Average |
| google_ml_prediction_latencies Latency of a certain type. | Latency | Count | Average |
| google_ml_prediction_prediction_count Cumulative count of predictions. | Prediction count | Count | Average |
| google_ml_prediction_response_count Cumulative count of different response codes. | Response count | Count | Average |
Event support
- Supported
- Configurable in OpsRamp Google Integration Discovery Profile.