MLCOST-27: Monitor usage and cost by ML activity
Use cloud resource tagging to manage, identify, organize, search for, and filter resources. Tags help categorize resources by purpose, owner, environment, or other criteria. Associate costs with resources using ML activity categories, such as re-training and hosting, by using tagging to manage and optimize cost in deployment phases. Tagging can be useful for generating billing reports with breakdown of cost by associated resources.
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Use AWS tagging -A tag is a label that you or AWS assigns to an AWS resource. Each tag consists of a key and a value. For each resource, each tag key must be unique, and each tag key can have only one value. You can use tags to organize your resources, and cost allocation tags to track your AWS costs on a detailed level. AWS uses the cost allocation tags to organize your resource costs on your cost allocation report. This will make it easier for you to categorize and track your AWS costs. AWS provides two types of cost allocation tags, an AWS-generated tag and user-defined tags.
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Use AWS Budgets to keep track of cost - AWS Budgets helps you track your Amazon SageMaker AI cost, including development, training, and hosting. You can also set alerts and get a notification when your cost or usage exceeds (or is forecasted to exceed) your budgeted amount. After you create your budget, you can track the progress on the AWS Budgets console.
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