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2
docs/deploying_clearml/clearml_server_linux_mac.md
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@ -136,7 +136,7 @@ Deploying the server requires a minimum of 8 GB of memory, 16 GB is recommended.
2. Download the ClearML Server docker-compose YAML file.
```
sudo curl https://raw.githubusercontent.com/allegroai/clearml-server/master/docker/docker-compose.yml -o /opt/clearml/docker-compose.yml
sudo curl https://raw.githubusercontent.com/clearml/clearml-server/master/docker/docker-compose.yml -o /opt/clearml/docker-compose.yml
```
1. For Linux only, configure the **ClearML Agent Services**:

2
docs/deploying_clearml/clearml_server_win.md
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@ -57,7 +57,7 @@ Deploying the server requires a minimum of 8 GB of memory, 16 GB is recommended.
1. Save the ClearML Server docker-compose YAML file.
```
curl https://raw.githubusercontent.com/allegroai/clearml-server/master/docker/docker-compose-win10.yml -o c:\opt\clearml\docker-compose-win10.yml
curl https://raw.githubusercontent.com/clearml/clearml-server/master/docker/docker-compose-win10.yml -o c:\opt\clearml\docker-compose-win10.yml
```
1. Run `docker-compose`. In PowerShell, execute the following commands:

6
docs/deploying_clearml/enterprise_deploy/appgw_install_k8s.md
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@ -12,8 +12,8 @@ This guide details the installation of the ClearML AI Application Gateway, speci
* Kubernetes cluster: `>= 1.21.0-0 < 1.32.0-0`
* Helm installed and configured
* Helm token to access allegroai helm-chart repo
* Credentials for allegroai docker repo
* Helm token to access `allegroai` helm-chart repo
* Credentials for `allegroai` docker repo
* A valid ClearML Server installation
## Optional for HTTPS
@ -27,7 +27,7 @@ This guide details the installation of the ClearML AI Application Gateway, speci
```
helm repo add allegroai-enterprise \
https://raw.githubusercontent.com/allegroai/clearml-enterprise-helm-charts/gh-pages \
https://raw.githubusercontent.com/clearml/clearml-enterprise-helm-charts/gh-pages \
--username <GITHUB_TOKEN> \
--password <GITHUB_TOKEN>
```

2
docs/deploying_clearml/upgrade_server_aws_ec2_ami.md
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@ -49,7 +49,7 @@ If upgrading from Trains Server version 0.15 or older, a data migration is requi
1. Download the latest `docker-compose.yml` file. Execute the following command:
```
sudo curl https://raw.githubusercontent.com/allegroai/clearml-server/master/docker/docker-compose.yml -o /opt/clearml/docker-compose.yml
sudo curl https://raw.githubusercontent.com/clearml/clearml-server/master/docker/docker-compose.yml -o /opt/clearml/docker-compose.yml
```
1. Startup ClearML Server. This automatically pulls the latest ClearML Server build.

2
docs/deploying_clearml/upgrade_server_gcp.md
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@ -38,7 +38,7 @@ you can proceed to upgrade to v2.x.
1. Download the latest `docker-compose.yml` file:
```
curl https://raw.githubusercontent.com/allegroai/clearml-server/master/docker/docker-compose.yml -o /opt/clearml/docker-compose.yml
curl https://raw.githubusercontent.com/clearml/clearml-server/master/docker/docker-compose.yml -o /opt/clearml/docker-compose.yml
```
1. Startup ClearML Server. This automatically pulls the latest ClearML Server build.

2
docs/deploying_clearml/upgrade_server_linux_mac.md
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@ -59,7 +59,7 @@ For backwards compatibility, the environment variables ``TRAINS_HOST_IP``, ``TRA
1. Download the latest `docker-compose.yml` file:
```
curl https://raw.githubusercontent.com/allegroai/clearml-server/master/docker/docker-compose.yml -o /opt/clearml/docker-compose.yml
curl https://raw.githubusercontent.com/clearml/clearml-server/master/docker/docker-compose.yml -o /opt/clearml/docker-compose.yml
```
1. Startup ClearML Server. This automatically pulls the latest ClearML Server build:

2
docs/deploying_clearml/upgrade_server_win.md
View File

@ -49,7 +49,7 @@ you can proceed to upgrade to v2.x.
1. Download the latest `docker-compose.yml` file:
```
curl https://raw.githubusercontent.com/allegroai/clearml-server/master/docker/docker-compose-win10.yml -o c:\opt\clearml\docker-compose-win10.yml
curl https://raw.githubusercontent.com/clearml/clearml-server/master/docker/docker-compose-win10.yml -o c:\opt\clearml\docker-compose-win10.yml
```
1. Startup ClearML Server. This automatically pulls the latest ClearML Server build.