The Docker container runs fine on my machine.CI builds succeed without errors.But once deployed, inference fails unexpectedly.Logs aren’t very helpful either.
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batch size effects
Predictions are made in real time.Ground truth arrives much later.Immediate accuracy monitoring isn’t possible.I still need confidence the model is healthy.