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by apavlo
1706 days ago
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Our expected usage for the current version of OtterTune is that you will enable tuning and then let the ML algorithms figure out your workload patterns. The models will then converge with an optimal config and then you switch it back into monitoring mode. How long this takes depends on your workload patterns. We are working on the ability for OtterTune to alert you during monitoring mode when it thinks your workload/database have changed enough that it merits turning the tuning mode back on. We could also have it show the recommendations when this occurs as you suggest. |
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