adding video

Author: hsrasheed

articles/hdinsight/hdinsight-autoscale-clusters.md

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 The Autoscale feature uses two types of conditions to trigger scaling events: thresholds for various cluster performance metrics (called *load-based scaling*) and time-based triggers (called *schedule-based scaling*). Load-based scaling changes the number of nodes in your cluster, within a range that you set, to ensure optimal CPU usage and minimize running cost. Schedule-based scaling changes the number of nodes in your cluster based on operations that you associate with specific dates and times.
 
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+> [!VIDEO https://channel9.msdn.com/Shows/Data-Exposed/Drive-higher-utilization-of-Azure-HDInsight-clusters-with-Autoscale?WT.mc_id=dataexposed-c9-niner]
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 ### Choosing load-based or schedule-based scaling
 
 Consider the following factors when choosing a scaling type: