Use Case Documentation
Cloud Spend Alerts

Choose this use-case if you wish to develop a model that budgets cloud spend and spots unusual spikes in cloud usage. Given a dataset of time-stamped cloud spending and an optional secondary dataset of all relevant service attributes, you can generate a model that monitors your cloud spend. We recommend incorporating as much data as possible about your service attributes, such as service type, service popularity, location, version number, etc.

Dataset and Feature Group Requirements

This section specifies the Datasets / Feature Groups requirements to successfully train a Cloud Spend Alerts model. Feature requirements include recommendations on additional datasets that might enhance model performance.

Training Models - Training Options and Metrics

This section describes all the available model training options that can be used to create a Cloud Spend Alerts model. You can utilize the metric explanations to better understand how they measure the performance of the model you trained.

Prediction API

This section discusses the prediction API method so that you could properly generate predictions from the model you deployed.