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 | Google Metric | Metric Display Name | Unit | Description |
|---|---|---|---|---|
| google_ml_prediction_error_count | ml.googleapis.com/prediction/error_count | Error count | count | Cumulative count of prediction errors. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds. |
| google_ml_prediction_latencies | ml.googleapis.com/prediction/latencies | Latency | microseconds | Latency of a certain type. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds. |
| google_ml_prediction_prediction_count | ml.googleapis.com/prediction/prediction_count | Prediction count | count | Cumulative count of predictions. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds. |
| google_ml_prediction_response_count | ml.googleapis.com/prediction/response_count | Response count | count | Cumulative count of different response codes. Sampled every 60 seconds. After sampling, data is not visible for up to 180 seconds. |
Event support
- Supported
- Configurable in OpsRamp Google Integration Discovery Profile.