The model classifies upright images correctly.Rotated versions of the same images fail.The content is the same.Only orientation changed.
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A new column was added to the input data.No one thought it would affect the model.Suddenly, inference started failing or producing nonsense results.This keeps happening as systems evolve.
My model works well during training and validation.But inference results differ even with similar inputs.There’s no obvious bug in the code.It feels like something subtle is off.
gaps during high load
As usage increased, we started seeing more UNABLE_TO_LOCK_ROW errors. These rarely occurred earlier but are now fairly common during updates and integrations. The logic hasn’t changed much. I want to understand why locking becomes more frequent over time.
Permission sets were initially simple, but over time they’ve multiplied. Users now have multiple overlapping permissions, and access issues are common. I want to understand why permission management degrades.