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Copy file name to clipboardExpand all lines: articles/hdinsight/hdinsight-scaling-best-practices.md
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@@ -6,8 +6,9 @@ ms.author: ashish
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ms.reviewer: jasonh
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ms.service: hdinsight
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ms.topic: conceptual
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ms.date: 05/13/2019
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ms.date: 06/03/2019
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---
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# Scale HDInsight clusters
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HDInsight provides elasticity by giving you the option to scale up and scale down the number of worker nodes in your clusters. This elasticity, allows you to shrink a cluster after hours or on weekends, and expand it during peak business demands.
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1. Manually end the jobs.
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1. Resubmit the jobs after the scaling operation has concluded.
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To see a list of pending and running jobs, you can use the YARN **ResourceManager UI**, following these steps:
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To see a list of pending and running jobs, you can use the YARN **Resource Manager UI**, following these steps:
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1. Sign in to [Azure portal](https://portal.azure.com).
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2. From the left, navigate to **All services** > **Analytics** > **HDInsight Clusters**, and then select your cluster.
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3. From the main view, navigate to **Cluster dashboards** > **Ambari home**. Enter your cluster credentials.
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4. From the Ambari UI, select **YARN** on the list of services on the left-hand menu.
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5. From the YARN page, select **Quick Links** and hover over the active head node, then select **ResourceManager UI**.
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1. From the [Azure portal](https://portal.azure.com/), select your cluster. See [List and show clusters](./hdinsight-administer-use-portal-linux.md#showClusters) for the instructions. The cluster is opened in a new portal page.
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2. From the main view, navigate to **Cluster dashboards** > **Ambari home**. Enter your cluster credentials.
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3. From the Ambari UI, select **YARN** on the list of services on the left-hand menu.
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4. From the YARN page, select **Quick Links** and hover over the active head node, then select **ResourceManager UI**.
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