Documentation is now available for the Fall 2020 Update release!

Google Machine Learning Job

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Introduction

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 OpsRamp Google Public cloud Integration to discover and collect metrics against Google Machine Learning Job.

Setup

If you have not already done so, please set up the OpsRamp Google Integration.

Need to select Ml JOB in Google Integration Discovery Profile in order to discover Google Machine Learning Job.

Metrics

OpsRamp MetricMetric Display NameUnitAggregation TypeDescription
google_ml_training_cpu_utilizationCPU utilizationCountAVERAGEFraction of the allocated CPU that is currently in use.
google_ml_training_memory_utilizationMemory utilizationCountAVERAGEFraction of the allocated memory that is currently in use.
google_ml_training_cpu_utilizationTraining CPU UtilizationCountAVERAGEFraction of the allocated CPU that is currently in use. Sampled every 60 seconds.
google_ml_training_cpu_utilizationAccelerator utilizationCountAVERAGEFraction of the allocated accelerator that is currently in use.
google_ml_training_memory_utilizationAccelerator memory utilizationCountAVERAGEFraction of the allocated accelerator memory that is currently in use.
google_ml_training_network_received_bytes_countNetwork bytes receivedBytesAVERAGENumber of bytes received by the training job over the network.
google_ml_training_network_sent_bytes_countNetwork bytes sentBytesAVERAGENumber of bytes sent by the training job over the network.

Event support

OpsRamp support Google events for Google Machine Learning Environment. Need to configure Google Stream Events in Opsramp Google integration discovery profile.