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Currently the anomaly detection works based on the account, service name, usage family and few tags which cloudability assumes which has highest coverage.
Issue with this:
Because it doesn't let users to select which tags to consider when generating Anomalies, most of the times the anomalies generated are false positives and are spamming the users.
Example:
If there is platform account which has 100's of tenants consuming EC2 service, each tenant using a story_id tag which changes every day. Cloudability thinks each story id as unique and generates an anomaly for every story id. we need the ability to exclude or include the tags which the anomaly engine needs to consider when generating the anomalies, as the important one's are getting lost in the 100's of false positives which the tool generates daily.
Idea priority | High |
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