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Allocating Remote Engines and clusters to environments and spaces

Remote Engines and Remote Engine clusters belong to a single environment. When you create or edit a Remote Engine or Remote Engine cluster, you can allocate it to:

  • All spaces of an environment.
  • One space. In this situation, only the account that has the Operator (Execute) or the Use engines permission on this space can use this Remote Engines and cluster.
    Information noteNote: Users with the individual permission Engines - Use can only have the space permission Use engines. This space permission is the combination of the Operator (Operator (Execute)) and Viewer (View) permissions. For more information, see Predefined roles for Talend Management Console.

When you allocate an engine or an engine cluster to a space or an environment, if this engine or cluster already has scheduled tasks or plans assigned to it before this allocation, all those tasks or plans are automatically paused and assigned to a Cloud Engine, and the details of this pause are systematically added. The same is true when you delete an engine or an engine cluster.

Note that a paused task or plan on Cloud Engines neither starts Cloud Engine nor consumes tokens.

Procedure

  1. In Talend Management Console, open the Processing page.
  2. Click the Engines tab.
  3. If the engine/cluster exists, right-click the name and click Edit.
    If the engine/cluster does not exist, click Add.
  4. Select the environment and space.
    If you allocate the engine/cluster to one space, the accounts must have the Operator (Execute) or the Use engines permission on the space to be able to use this engine/cluster.
  5. Click Save.
  6. Optional: If this is a newly added remote engine:
    1. Click the name of the engine to access the Engine details page.
    2. Copy the Pair key to your clipboard.
      In the products and the documentation, this key is also referred to as a pre-authorization key or pre-authorized key. It is required when creating the engine either in your Amazon Web Services (AWS) or Microsoft Azure account or when installing it locally.

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