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The load metric graph is SUM of the metric for the the full hour. So in your case it would be the SUM of all the CPU datapoints pushed by EC2 for every instance in the ASG. If you'd had 2 instances with the same load as this test one, the graph would show 4k. Predictive scaling is using this to find out the total load that was placed on the instance over the entire hour (since capacity predictions are currently made for whole hours)
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