Orbiter anomaly detection is for any DB (e.g. Postgres, Snowflake) and metrics that business/product teams tend to track such as transaction conversion %, user growth, add item to basket %, etc.
Amazon Cloudwatch anomaly detection is for AWS resources & apps, and covers infra metrics like resource utilization, app performance, ops health.
In terms of the anomaly detection capabilities -- both are using similar machine learning processes to detect metric issues automatically!
Amazon Cloudwatch anomaly detection is for AWS resources & apps, and covers infra metrics like resource utilization, app performance, ops health.
In terms of the anomaly detection capabilities -- both are using similar machine learning processes to detect metric issues automatically!
P.S. If you get curious about the details of our solution, we have a 2 minute video demo ;) Cheers! https://www.youtube.com/watch?v=R7P_M6j0P2A