Optimize compute resources on Amazon ECS with Predictive Scaling
Containers Blog
AWS has introduced Predictive Scaling for Amazon ECS, a new feature that uses machine learning to anticipate and proactively scale container services based on historical demand patterns.
- Uses advanced ML algorithms to forecast demand and scale tasks before traffic spikes
- Works alongside existing reactive scaling policies like target tracking
- Helps improve application availability and performance
- Operates in two modes: Forecast Only and Forecast And Scale
- Learns from up to 14 days of historical data to generate hourly forecasts
Ideal for applications with consistent daily or weekly demand patterns, Predictive Scaling helps optimize compute resources by scaling tasks proactively and reducing over-provisioning costs.
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