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    <title>topic Re: Shared cluster in Administration &amp; Architecture</title>
    <link>https://community.databricks.com/t5/administration-architecture/shared-cluster/m-p/83394#M1591</link>
    <description>&lt;P&gt;No Shiva, it don't work like that,one notebook one session simple, collaborative notebook means one development notebook with multiple user ,but multiple session wont work like that .&lt;/P&gt;</description>
    <pubDate>Mon, 19 Aug 2024 05:43:02 GMT</pubDate>
    <dc:creator>Aviral-Bhardwaj</dc:creator>
    <dc:date>2024-08-19T05:43:02Z</dc:date>
    <item>
      <title>Shared cluster</title>
      <link>https://community.databricks.com/t5/administration-architecture/shared-cluster/m-p/82647#M1549</link>
      <description>&lt;P&gt;Hello Community,&lt;/P&gt;&lt;P&gt;At my company, we use Databricks extensively for workflow development. We operate on a shared cluster that multiple users access concurrently, and we utilize a shared workspace, where one folder is accessible to a designated group. Each user manages their data through their individual secret scope.&lt;/P&gt;&lt;P&gt;However, I have observed a significant issue: when User A executes a code cell, User B is able to execute the following cell, effectively continuing from where User A left off. This situation compromises the isolation between user sessions, posing a potential security risk.&lt;/P&gt;&lt;P&gt;Can anyone suggest a way to ensure better isolation between user sessions in this shared environment?&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Sat, 10 Aug 2024 22:10:48 GMT</pubDate>
      <guid>https://community.databricks.com/t5/administration-architecture/shared-cluster/m-p/82647#M1549</guid>
      <dc:creator>shiva1212</dc:creator>
      <dc:date>2024-08-10T22:10:48Z</dc:date>
    </item>
    <item>
      <title>Re: Shared cluster</title>
      <link>https://community.databricks.com/t5/administration-architecture/shared-cluster/m-p/82666#M1551</link>
      <description>&lt;P&gt;it should not happen , if the user is using different notebooks , if they are using same notebook, it is expected&lt;/P&gt;</description>
      <pubDate>Sun, 11 Aug 2024 16:38:25 GMT</pubDate>
      <guid>https://community.databricks.com/t5/administration-architecture/shared-cluster/m-p/82666#M1551</guid>
      <dc:creator>Aviral-Bhardwaj</dc:creator>
      <dc:date>2024-08-11T16:38:25Z</dc:date>
    </item>
    <item>
      <title>Re: Shared cluster</title>
      <link>https://community.databricks.com/t5/administration-architecture/shared-cluster/m-p/83367#M1590</link>
      <description>&lt;P&gt;Thank you for your response, Aviral.&lt;/P&gt;&lt;P&gt;I agree that if users are using different notebooks, there shouldn’t be any security threat. However, the concern arises even when two users are using the same notebook; it should ideally be different sessions for each user.&lt;/P&gt;&lt;P&gt;Each user has their own OpenAI token. For instance, if User A runs a cell to extract their token, and then User B runs the next cell, User B ends up using User A’s token. This is undesirable behavior and poses a significant security risk.&lt;/P&gt;&lt;P&gt;From my understanding, a shared compute cluster should keep sessions separate for User A and User B. This means that while they share the code, they shouldn’t be sharing the variable values. Unfortunately, this separation is not happening in our environment.&lt;/P&gt;&lt;P&gt;Has anyone else experienced this, or does anyone have suggestions on how to enforce better session isolation?&lt;/P&gt;</description>
      <pubDate>Sun, 18 Aug 2024 19:21:36 GMT</pubDate>
      <guid>https://community.databricks.com/t5/administration-architecture/shared-cluster/m-p/83367#M1590</guid>
      <dc:creator>shiva1212</dc:creator>
      <dc:date>2024-08-18T19:21:36Z</dc:date>
    </item>
    <item>
      <title>Re: Shared cluster</title>
      <link>https://community.databricks.com/t5/administration-architecture/shared-cluster/m-p/83394#M1591</link>
      <description>&lt;P&gt;No Shiva, it don't work like that,one notebook one session simple, collaborative notebook means one development notebook with multiple user ,but multiple session wont work like that .&lt;/P&gt;</description>
      <pubDate>Mon, 19 Aug 2024 05:43:02 GMT</pubDate>
      <guid>https://community.databricks.com/t5/administration-architecture/shared-cluster/m-p/83394#M1591</guid>
      <dc:creator>Aviral-Bhardwaj</dc:creator>
      <dc:date>2024-08-19T05:43:02Z</dc:date>
    </item>
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