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Hi,
This article gives you a good overview on all scaling strategies incl. schedule scaling and predictive scaling:
https://www.missioncloud.com/blog/top-five-aws-auto-scaling-strategies
In essence:
- you use schedule scaling when you know in advance the changes (increases / decreases) in your workloads due to scheduled events that triggers those changes
- you use predictive scaling when you have data points about previous moments of workloads changes and you use a predictive model (ML-based or not) to predict the future changes in your workloads and adapt your compute capacity accordingly. Best,
Didie
0
Predictive scaling uses machine learning to predict capacity requirements based on historical data from CloudWatch https://aws.amazon.com/blogs/aws/new-predictive-scaling-for-ec2-powered-by-machine-learning/
Scheduled scaling is set manually https://docs.aws.amazon.com/autoscaling/application/userguide/application-auto-scaling-scheduled-scaling.html
Thank you for your answer. It is very useful for me.
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Your answer is very helpful. Thank you very much.