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# Forecaster
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> This feature is planned for 2016.
Thanks to [machine-learning](https://en.wikipedia.org/wiki/Machine_learning), we should be able to analyze previous events (load evolution, RAM usage, etc.) and to forecast what would come next.
It could leads to:
* forecast report and alerts inside advanced reports
* taking automatic actions before bottlenecks happened
* match the resources needed for a predicted load
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* green IT! By cutting useless nodes in quiet moment and boot them just before the load rise
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## Example
The system detects that every Monday, you got a huge CPU spike on some VMs. It could:
* report you this information
* scale up those VMs just before those spikes, and scale them down after