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    <title>topic Re: Do errors get logged as part of the artifact tracking in MLflow? Or is there a way to log errors in general? in Data Engineering</title>
    <link>https://community.databricks.com/t5/data-engineering/do-errors-get-logged-as-part-of-the-artifact-tracking-in-mlflow/m-p/22004#M15026</link>
    <description>&lt;P&gt;For the tracking server? Yes, it does produce logs which you could see if running the tracking server as a standalone service. They are not exposed from the hosted tracking server in Databricks. However there typically aren't errors or logs of interest in the tracking server; errors of interest would occur (and be logged) from the MLflow client that is accessing it, for example, in a notebook cell.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;For model serving, errors are likewise logged, but would be of interest and are exposed in the hosted MLflow serving service. You would see them in the Serving tab of a registered model. Or if deploying to Azure ML or SageMaker, these logs would likewise appear in the console of those services.&lt;/P&gt;</description>
    <pubDate>Tue, 22 Jun 2021 09:50:53 GMT</pubDate>
    <dc:creator>sean_owen</dc:creator>
    <dc:date>2021-06-22T09:50:53Z</dc:date>
    <item>
      <title>Do errors get logged as part of the artifact tracking in MLflow? Or is there a way to log errors in general?</title>
      <link>https://community.databricks.com/t5/data-engineering/do-errors-get-logged-as-part-of-the-artifact-tracking-in-mlflow/m-p/22003#M15025</link>
      <description />
      <pubDate>Mon, 21 Jun 2021 21:15:25 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/do-errors-get-logged-as-part-of-the-artifact-tracking-in-mlflow/m-p/22003#M15025</guid>
      <dc:creator>Anonymous</dc:creator>
      <dc:date>2021-06-21T21:15:25Z</dc:date>
    </item>
    <item>
      <title>Re: Do errors get logged as part of the artifact tracking in MLflow? Or is there a way to log errors in general?</title>
      <link>https://community.databricks.com/t5/data-engineering/do-errors-get-logged-as-part-of-the-artifact-tracking-in-mlflow/m-p/22004#M15026</link>
      <description>&lt;P&gt;For the tracking server? Yes, it does produce logs which you could see if running the tracking server as a standalone service. They are not exposed from the hosted tracking server in Databricks. However there typically aren't errors or logs of interest in the tracking server; errors of interest would occur (and be logged) from the MLflow client that is accessing it, for example, in a notebook cell.&lt;/P&gt;&lt;P&gt;&lt;/P&gt;&lt;P&gt;For model serving, errors are likewise logged, but would be of interest and are exposed in the hosted MLflow serving service. You would see them in the Serving tab of a registered model. Or if deploying to Azure ML or SageMaker, these logs would likewise appear in the console of those services.&lt;/P&gt;</description>
      <pubDate>Tue, 22 Jun 2021 09:50:53 GMT</pubDate>
      <guid>https://community.databricks.com/t5/data-engineering/do-errors-get-logged-as-part-of-the-artifact-tracking-in-mlflow/m-p/22004#M15026</guid>
      <dc:creator>sean_owen</dc:creator>
      <dc:date>2021-06-22T09:50:53Z</dc:date>
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