AWS replaces guessed TTS autoscaling targets with live measurements
AWS has published a measurement-driven autoscaling method for Kokoro-82M text-to-speech on SageMaker AI. It derives thresholds from per-instance concurrency before an SLO breach and the full time required to add capacity. The example measures 320.2 seconds of planned scale-out time and uses gated CDK deployment, drift checks, admission control and asymmetric cooldowns.