Amazon Machine Learning is a service that makes it easy for developers of all skill levels to use machine learning technology.
Enable this integration to see in Datadog all your Machine Learning metrics.
If you haven’t already, set up the Amazon Web Services integration first.
In the AWS integration tile, ensure that MachineLearning is checked under metric collection.
Install the Datadog - AWS Machine Learning integration.
Configure Amazon Machine Learning to send logs either to a S3 bucket or to Cloudwatch.
Note: If you log to a S3 bucket, make sure that amazon_machine_learning is set as Target prefix.
Once the lambda function is installed, manually add a trigger on the S3 bucket or Cloudwatch log group that contains your Amazon Machine Learning logs in the AWS console:
| aws.ml.predict_count (count) | The number of observations received by Amazon ML. |
| aws.ml.predict_failure_count (count) | The number of invalid or malformed observations received by Amazon ML. |
Each of the metrics retrieved from AWS will be assigned the same tags that appear in the AWS console, including but not limited to host name, security-groups, and more.
The AWS Machine Learning integration does not include any events.
The AWS Machine Learning integration does not include any service checks.
Need help? Contact Datadog support.
