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    <title>topic API Monitoring of Scheduled Jobs: Lakeflow in Databricks in MVP Articles</title>
    <link>https://community.databricks.com/t5/mvp-articles/api-monitoring-of-scheduled-jobs-lakeflow-in-databricks/m-p/147670#M69</link>
    <description>&lt;P&gt;&lt;SPAN&gt;At Databricks, more and more teams are starting to use&amp;nbsp;&lt;/SPAN&gt;&lt;STRONG&gt;Lakeflow&lt;/STRONG&gt;&lt;SPAN&gt;&amp;nbsp;(Jobs &amp;amp; Pipelines), and some companies use it primarily for orchestrating scripts in Databricks. It's a powerful tool for building dependencies, but as the number of jobs grows, problems arise due to the lack of convenient monitoring.&lt;/SPAN&gt;&lt;/P&gt;&lt;P class=""&gt;When you open Jobs &amp;amp; Pipelines, you see a list of jobs, but you don't see how they interact with each other or&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;STRONG&gt;how dense they are&lt;/STRONG&gt;.&lt;/P&gt;&lt;P class=""&gt;There are dozens of tasks, most of which are scheduled for around 8 a.m. The result is chaos that's hard to see but has a significant impact on the infrastructure. Sometimes you might run out of IP addresses in your subnet or the number of reserved resources. And sometimes you just want to choose a free window, but how? In this article, I'll offer my solution.&lt;/P&gt;&lt;DIV&gt;&lt;DIV class=""&gt;&amp;nbsp;&lt;/DIV&gt;&lt;/DIV&gt;</description>
    <pubDate>Mon, 09 Feb 2026 11:11:49 GMT</pubDate>
    <dc:creator>protmaks</dc:creator>
    <dc:date>2026-02-09T11:11:49Z</dc:date>
    <item>
      <title>API Monitoring of Scheduled Jobs: Lakeflow in Databricks</title>
      <link>https://community.databricks.com/t5/mvp-articles/api-monitoring-of-scheduled-jobs-lakeflow-in-databricks/m-p/147670#M69</link>
      <description>&lt;P&gt;&lt;SPAN&gt;At Databricks, more and more teams are starting to use&amp;nbsp;&lt;/SPAN&gt;&lt;STRONG&gt;Lakeflow&lt;/STRONG&gt;&lt;SPAN&gt;&amp;nbsp;(Jobs &amp;amp; Pipelines), and some companies use it primarily for orchestrating scripts in Databricks. It's a powerful tool for building dependencies, but as the number of jobs grows, problems arise due to the lack of convenient monitoring.&lt;/SPAN&gt;&lt;/P&gt;&lt;P class=""&gt;When you open Jobs &amp;amp; Pipelines, you see a list of jobs, but you don't see how they interact with each other or&lt;SPAN&gt;&amp;nbsp;&lt;/SPAN&gt;&lt;STRONG&gt;how dense they are&lt;/STRONG&gt;.&lt;/P&gt;&lt;P class=""&gt;There are dozens of tasks, most of which are scheduled for around 8 a.m. The result is chaos that's hard to see but has a significant impact on the infrastructure. Sometimes you might run out of IP addresses in your subnet or the number of reserved resources. And sometimes you just want to choose a free window, but how? In this article, I'll offer my solution.&lt;/P&gt;&lt;DIV&gt;&lt;DIV class=""&gt;&amp;nbsp;&lt;/DIV&gt;&lt;/DIV&gt;</description>
      <pubDate>Mon, 09 Feb 2026 11:11:49 GMT</pubDate>
      <guid>https://community.databricks.com/t5/mvp-articles/api-monitoring-of-scheduled-jobs-lakeflow-in-databricks/m-p/147670#M69</guid>
      <dc:creator>protmaks</dc:creator>
      <dc:date>2026-02-09T11:11:49Z</dc:date>
    </item>
    <item>
      <title>Re: API Monitoring of Scheduled Jobs: Lakeflow in Databricks</title>
      <link>https://community.databricks.com/t5/mvp-articles/api-monitoring-of-scheduled-jobs-lakeflow-in-databricks/m-p/147672#M70</link>
      <description>&lt;P&gt;full text:&amp;nbsp;&lt;A href="https://medium.com/@protmaks/api-monitoring-of-scheduled-jobs-33a221d9f891" target="_blank"&gt;https://medium.com/@protmaks/api-monitoring-of-scheduled-jobs-33a221d9f891&lt;/A&gt;&lt;/P&gt;</description>
      <pubDate>Mon, 09 Feb 2026 11:12:35 GMT</pubDate>
      <guid>https://community.databricks.com/t5/mvp-articles/api-monitoring-of-scheduled-jobs-lakeflow-in-databricks/m-p/147672#M70</guid>
      <dc:creator>protmaks</dc:creator>
      <dc:date>2026-02-09T11:12:35Z</dc:date>
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