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    <title>topic Re: Is there any way to monitor the CPU, disk and memory usage of a cluster while a job is running? in Data Engineering</title>
    <link>https://community.databricks.com/t5/data-engineering/is-there-any-way-to-monitor-the-cpu-disk-and-memory-usage-of-a/m-p/28552#M20336</link>
    <description>&lt;P&gt;&lt;/P&gt;
&lt;P&gt;Spark UI can give you access to some of this information, just not in real-time. It's also intended for Spark-specific performance information such as job and task breakdowns.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;Ganglia metrics can give you real-time metrics along these lines both in real-time and historically.&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;In the Clusters page for your particular cluster, select the "Metrics" link and you'll have access to the "Ganglia UI" link (for real-time) and the historical snapshots list.&lt;A href="https://storage/attachments/1189-screen-shot-2019-05-30-at-40457-pm.png" target="_blank"&gt;screen-shot-2019-05-30-at-40457-pm.png&lt;/A&gt;
&lt;P&gt;You can find out more at the Metrics documentation page:&lt;/P&gt;
&lt;P&gt;&lt;A href="https://docs.databricks.com/user-guide/clusters/metrics.html" target="test_blank"&gt;https://docs.databricks.com/user-guide/clusters/metrics.html&lt;/A&gt;&lt;/P&gt; 
&lt;P&gt;&lt;/P&gt;</description>
    <pubDate>Thu, 30 May 2019 20:11:05 GMT</pubDate>
    <dc:creator>User16301467513</dc:creator>
    <dc:date>2019-05-30T20:11:05Z</dc:date>
    <item>
      <title>Is there any way to monitor the CPU, disk and memory usage of a cluster while a job is running?</title>
      <link>https://community.databricks.com/t5/data-engineering/is-there-any-way-to-monitor-the-cpu-disk-and-memory-usage-of-a/m-p/28550#M20334</link>
      <description>&lt;P&gt;&lt;/P&gt;
&lt;P&gt;I am looking for something preferably similar to Windows task manager which we can use for monitoring the CPU, memory and disk usage for local desktop.&lt;/P&gt; 
&lt;P&gt;&lt;/P&gt;</description>
      <pubDate>Thu, 23 Aug 2018 11:08:35 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/is-there-any-way-to-monitor-the-cpu-disk-and-memory-usage-of-a/m-p/28550#M20334</guid>
      <dc:creator>SaravananPalani</dc:creator>
      <dc:date>2018-08-23T11:08:35Z</dc:date>
    </item>
    <item>
      <title>Re: Is there any way to monitor the CPU, disk and memory usage of a cluster while a job is running?</title>
      <link>https://community.databricks.com/t5/data-engineering/is-there-any-way-to-monitor-the-cpu-disk-and-memory-usage-of-a/m-p/28551#M20335</link>
      <description>&lt;P&gt;&lt;/P&gt;
&lt;P&gt;I would also find this really really useful.&lt;/P&gt; 
&lt;P&gt;&lt;/P&gt;</description>
      <pubDate>Wed, 13 Feb 2019 17:17:16 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/is-there-any-way-to-monitor-the-cpu-disk-and-memory-usage-of-a/m-p/28551#M20335</guid>
      <dc:creator>ThomasKastl</dc:creator>
      <dc:date>2019-02-13T17:17:16Z</dc:date>
    </item>
    <item>
      <title>Re: Is there any way to monitor the CPU, disk and memory usage of a cluster while a job is running?</title>
      <link>https://community.databricks.com/t5/data-engineering/is-there-any-way-to-monitor-the-cpu-disk-and-memory-usage-of-a/m-p/28552#M20336</link>
      <description>&lt;P&gt;&lt;/P&gt;
&lt;P&gt;Spark UI can give you access to some of this information, just not in real-time. It's also intended for Spark-specific performance information such as job and task breakdowns.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;Ganglia metrics can give you real-time metrics along these lines both in real-time and historically.&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;/P&gt;In the Clusters page for your particular cluster, select the "Metrics" link and you'll have access to the "Ganglia UI" link (for real-time) and the historical snapshots list.&lt;A href="https://storage/attachments/1189-screen-shot-2019-05-30-at-40457-pm.png" target="_blank"&gt;screen-shot-2019-05-30-at-40457-pm.png&lt;/A&gt;
&lt;P&gt;You can find out more at the Metrics documentation page:&lt;/P&gt;
&lt;P&gt;&lt;A href="https://docs.databricks.com/user-guide/clusters/metrics.html" target="test_blank"&gt;https://docs.databricks.com/user-guide/clusters/metrics.html&lt;/A&gt;&lt;/P&gt; 
&lt;P&gt;&lt;/P&gt;</description>
      <pubDate>Thu, 30 May 2019 20:11:05 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/is-there-any-way-to-monitor-the-cpu-disk-and-memory-usage-of-a/m-p/28552#M20336</guid>
      <dc:creator>User16301467513</dc:creator>
      <dc:date>2019-05-30T20:11:05Z</dc:date>
    </item>
    <item>
      <title>Re: Is there any way to monitor the CPU, disk and memory usage of a cluster while a job is running?</title>
      <link>https://community.databricks.com/t5/data-engineering/is-there-any-way-to-monitor-the-cpu-disk-and-memory-usage-of-a/m-p/28553#M20337</link>
      <description>&lt;P&gt;&lt;/P&gt;
&lt;P&gt;Ganglia metric are not that much helpful and also with cluster start you lose old data .&lt;/P&gt;
&lt;P&gt;Question is how to get live metrics and view historical data .&lt;/P&gt;
&lt;P&gt;OMS agent are best in that case. i used in Azure databricks and its wonderful .&lt;/P&gt;
&lt;P&gt;should be doable in AWS as well with some modification.&lt;/P&gt; 
&lt;P&gt;&lt;/P&gt;</description>
      <pubDate>Wed, 07 Oct 2020 18:41:53 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/is-there-any-way-to-monitor-the-cpu-disk-and-memory-usage-of-a/m-p/28553#M20337</guid>
      <dc:creator>Anonymous</dc:creator>
      <dc:date>2020-10-07T18:41:53Z</dc:date>
    </item>
    <item>
      <title>Re: Is there any way to monitor the CPU, disk and memory usage of a cluster while a job is running?</title>
      <link>https://community.databricks.com/t5/data-engineering/is-there-any-way-to-monitor-the-cpu-disk-and-memory-usage-of-a/m-p/28554#M20338</link>
      <description>&lt;P&gt;Ganglia metrics can give you real-time metrics along these lines both in real-time and historically. mcdvoice&lt;/P&gt;&lt;P&gt;&lt;/P&gt;</description>
      <pubDate>Tue, 13 Oct 2020 10:17:15 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/is-there-any-way-to-monitor-the-cpu-disk-and-memory-usage-of-a/m-p/28554#M20338</guid>
      <dc:creator>Pelicanine</dc:creator>
      <dc:date>2020-10-13T10:17:15Z</dc:date>
    </item>
    <item>
      <title>Re: Is there any way to monitor the CPU, disk and memory usage of a cluster while a job is running?</title>
      <link>https://community.databricks.com/t5/data-engineering/is-there-any-way-to-monitor-the-cpu-disk-and-memory-usage-of-a/m-p/28555#M20339</link>
      <description>&lt;P&gt;You can use the Ganglia UI to track the CPU, Network, Disk, and Memory. Keep in mind that Ganglia UI in a snapshot displayed every 15 minutes&lt;/P&gt;</description>
      <pubDate>Wed, 01 Feb 2023 10:10:18 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/is-there-any-way-to-monitor-the-cpu-disk-and-memory-usage-of-a/m-p/28555#M20339</guid>
      <dc:creator>youssefmrini</dc:creator>
      <dc:date>2023-02-01T10:10:18Z</dc:date>
    </item>
    <item>
      <title>Re: Is there any way to monitor the CPU, disk and memory usage of a cluster while a job is running?</title>
      <link>https://community.databricks.com/t5/data-engineering/is-there-any-way-to-monitor-the-cpu-disk-and-memory-usage-of-a/m-p/28556#M20340</link>
      <description>&lt;P&gt;as mentioned by few - Ganglia UI can be used to track it. we use the same in our projects.&lt;/P&gt;</description>
      <pubDate>Fri, 03 Feb 2023 11:35:37 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/is-there-any-way-to-monitor-the-cpu-disk-and-memory-usage-of-a/m-p/28556#M20340</guid>
      <dc:creator>Rajeev_Basu</dc:creator>
      <dc:date>2023-02-03T11:35:37Z</dc:date>
    </item>
    <item>
      <title>Re: Is there any way to monitor the CPU, disk and memory usage of a cluster while a job is running?</title>
      <link>https://community.databricks.com/t5/data-engineering/is-there-any-way-to-monitor-the-cpu-disk-and-memory-usage-of-a/m-p/28557#M20341</link>
      <description>&lt;P&gt;Which is real real time matrics​&lt;/P&gt;</description>
      <pubDate>Sat, 04 Feb 2023 14:07:17 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/is-there-any-way-to-monitor-the-cpu-disk-and-memory-usage-of-a/m-p/28557#M20341</guid>
      <dc:creator>Meghala</dc:creator>
      <dc:date>2023-02-04T14:07:17Z</dc:date>
    </item>
    <item>
      <title>Re: Is there any way to monitor the CPU, disk and memory usage of a cluster while a job is running?</title>
      <link>https://community.databricks.com/t5/data-engineering/is-there-any-way-to-monitor-the-cpu-disk-and-memory-usage-of-a/m-p/28558#M20342</link>
      <description>&lt;P&gt;Some important info to look in Gangalia UI in CPU, memory and server load charts to spot the problem:&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;B&gt;CPU chart :&lt;/B&gt;&lt;/P&gt;&lt;UL&gt;&lt;LI&gt;User %&lt;/LI&gt;&lt;LI&gt;Idle %&lt;/LI&gt;&lt;/UL&gt;&lt;P&gt;High percentage of user % indicates heavy CPU usage in the cluster.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;B&gt;Memory chart : &lt;/B&gt;&lt;/P&gt;&lt;UL&gt;&lt;LI&gt;Use %&lt;/LI&gt;&lt;LI&gt;Free %&lt;/LI&gt;&lt;LI&gt;Swap % &lt;/LI&gt;&lt;/UL&gt;&lt;P&gt;If you see purple line over red line in memory chart then it indicates memory swapping and also highlighting high memory usage.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;&lt;B&gt;Server Load Distribution Chart:&lt;/B&gt;&lt;/P&gt;&lt;P&gt;Absence of red squares indicates balanced load on the cluster. Presence of red squares means there is hot spot where load is more.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;</description>
      <pubDate>Sat, 04 Feb 2023 19:57:28 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/is-there-any-way-to-monitor-the-cpu-disk-and-memory-usage-of-a/m-p/28558#M20342</guid>
      <dc:creator>hitech88</dc:creator>
      <dc:date>2023-02-04T19:57:28Z</dc:date>
    </item>
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