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    <title>article Databricks Monitoring with Log Analytics - DBR 11.3+ in Databricks TV</title>
    <link>https://community.databricks.com/t5/databricks-tv/databricks-monitoring-with-log-analytics-dbr-11-3/ba-p/74787</link>
    <description>&lt;P&gt;&lt;IFRAME src="https://www.youtube.com/embed/CVzGWWSGWGg?si=BU9buHeE8GjrVEfG" width="560" height="315" frameborder="0" allowfullscreen="" title="YouTube video player" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin"&gt;&lt;/IFRAME&gt;&lt;/P&gt;</description>
    <pubDate>Tue, 18 Jun 2024 09:36:23 GMT</pubDate>
    <dc:creator>dustinvannoy</dc:creator>
    <dc:date>2024-06-18T09:36:23Z</dc:date>
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      <title>Databricks Monitoring with Log Analytics - DBR 11.3+</title>
      <link>https://community.databricks.com/t5/databricks-tv/databricks-monitoring-with-log-analytics-dbr-11-3/ba-p/74787</link>
      <description>&lt;P&gt;&lt;SPAN&gt;Log Analytics provides a way to collect and query logs in Azure. For teams that run other workloads in Azure beyond Databricks, they often want to collect their Databricks logs in the same Log Analytics workspace. This video walks through the setup steps and provides a quick demo of this capability for the log4j output and the Spark metrics. This video covers using the updated code for Databricks Runtime 11.3, 12.2, or 13.3. &lt;/SPAN&gt;&lt;/P&gt;</description>
      <pubDate>Tue, 18 Jun 2024 09:36:23 GMT</pubDate>
      <guid>https://community.databricks.com/t5/databricks-tv/databricks-monitoring-with-log-analytics-dbr-11-3/ba-p/74787</guid>
      <dc:creator>dustinvannoy</dc:creator>
      <dc:date>2024-06-18T09:36:23Z</dc:date>
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