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							@ -99,10 +99,8 @@ Launch The **ClearML Server** in any of the following formats:
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    - [Linux](https://clear.ml/docs/latest/docs/deploying_clearml/clearml_server_linux_mac)
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    - [macOS](https://clear.ml/docs/latest/docs/deploying_clearml/clearml_server_linux_mac)
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    - [Windows 10](https://clear.ml/docs/latest/docs/deploying_clearml/clearml_server_win)
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- Kubernetes    
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    - [Kubernetes Helm](https://clear.ml/docs/latest/docs/deploying_clearml/clearml_server_kubernetes_helm)
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    - Manual [Kubernetes installation](https://clear.ml/docs/latest/docs/deploying_clearml/clearml_server_kubernetes)
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- [Kubernetes Helm](https://clear.ml/docs/latest/docs/deploying_clearml/clearml_server_kubernetes_helm)
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## Connecting ClearML to your ClearML Server
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In order to set up the **ClearML** client to work with your **ClearML Server**:
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@ -120,11 +118,14 @@ In order to set up the **ClearML** client to work with your **ClearML Server**:
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            files_server: "http://localhost:8081"
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        }
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**Note**: If you have set up your **ClearML Server** in a sub-domain configuration, then there is no need to specify a port number,
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> [!NOTE]
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>
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> If you have set up your **ClearML Server** in a sub-domain configuration, then there is no need to specify a port number,
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it will be inferred from the http/s scheme.
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After launching the **ClearML Server** and configuring the **ClearML** client to use the **ClearML Server**,
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you can [use](https://github.com/allegroai/clearml) **ClearML** in your experiments and view them in your **ClearML Server** web server,
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After launching the ClearML Server and configuring the **ClearML** client to use the ClearML Server,
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you can use [ClearML](https://github.com/allegroai/clearml) in your experiments and view them in your ClearML Server web server,
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for example http://localhost:8080.  
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For more information about the ClearML client, see [**ClearML**](https://github.com/allegroai/clearml).
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@ -145,7 +146,9 @@ Every task launched by ClearML-Agent Services  will be registered as a new node
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providing tracking and transparency capabilities.  
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You can also run the ClearML-Agent Services manually, see details in [ClearML-agent services mode](https://github.com/allegroai/clearml-agent#clearml-agent-services-mode-)
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**Note**: It is the user's responsibility to make sure the proper tasks are pushed into the `services` queue. 
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> [!NOTE]
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>
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> It is the user's responsibility to make sure the proper tasks are pushed into the `services` queue. 
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Do not enqueue training / inference tasks into the `services` queue, as it will put unnecessary load on the server.
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## Advanced Functionality
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@ -224,7 +227,7 @@ To upgrade your existing **ClearML Server** deployment:
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## Community & Support
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If you have any questions, look to the ClearML [FAQ](https://clear.ml/docs/latest/docs/faq), or
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If you have any questions, look at the ClearML [FAQ](https://clear.ml/docs/latest/docs/faq), or
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tag your questions on [stackoverflow](https://stackoverflow.com/questions/tagged/clearml) with '**clearml**' tag.
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For feature requests or bug reports, please use [GitHub issues](https://github.com/allegroai/clearml-server/issues).
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