Stop guessing auto scaling targets for TTS on Amazon SageMak
先了解这件事
A traffic spike hits your self-hosted text-to-speech (TTS) endpoint, and requests start queueing. Latency climbs past your service level objective (SLO) right when the most callers are listening. The auto scaling policy behind that endpoint was supposed to prevent this, but the target value it scales on was a guess, and guesses like that fail silently until real traffic proves them wrong. Get that number wrong, and it’s paid for in one of two ways, and neither shows up as an
摘自 AWS Machine Learning Blog
报道时间线
沿着报道，了解事件的不同侧面。
- AWS Machine Learning Blog官方一手Stop guessing auto scaling targets for TTS on Amazon SageMaker AI
A traffic spike hits your self-hosted text-to-speech (TTS) endpoint, and requests start queueing. Latency climbs past your service level objective (SLO) right when the most callers are listening. The auto scaling policy behind that endpoint was supposed to prevent this, but the target value it scales on was a guess, and guesses like that fail silently until real traffic proves them wrong. Get that number wrong, and it’s paid for in one of two ways, and neither shows up as an
本事件热度走势
还没有足够的连续观测数据，暂不绘制趋势。