Linkfixes

Author: tcpdumpfbacke

pages/public_cloud/ai_machine_learning/deploy_guide_02_getting_started/guide.de-de.md

@@ -17,14 +17,14 @@ This guide explains how to get started with OVHcloud AI Deploy, covering the dep
 
 ## Requirements
 
-- access to the [OVHcloud Control Panel](https://www.ovh.com/auth/?action=gotomanager&from=https://www.ovh.co.uk/&ovhSubsidiary=GB)
+- access to the [OVHcloud Control Panel](/links/manager)
 - a [Public Cloud project](https://www.ovhcloud.com/en-gb/public-cloud/) in your OVHcloud account
 
 ## Instructions
 
 ### Subscribe to AI Deploy
 
-Log in to your [OVHcloud Control Panel](https://www.ovh.com/auth/?action=gotomanager&from=https://www.ovh.co.uk/&ovhSubsidiary=GB) and switch to `Public Cloud`{.action} in the top navigation bar. After selecting your Public Cloud project, click on `AI Deploy`{.action} in the left-hand navigation bar under **AI & Machine Learning**.
+Log in to your [OVHcloud Control Panel](/links/manager) and switch to `Public Cloud`{.action} in the top navigation bar. After selecting your Public Cloud project, click on `AI Deploy`{.action} in the left-hand navigation bar under **AI & Machine Learning**.
 
 Click on the `Deploy an app`{.action} button and accept the terms and conditions if any.
 
@@ -48,7 +48,7 @@ Select where your AI Deploy app will be hosted, meaning the physical location.
 AI Deploy allows a user to deploy applications from two sources:
 
 - From an OVHcloud catalog with already built-in AI models and applications.
-- From your own Docker image, giving you the full flexibility to deploy what you want. This image can be stored on many types of registry ([OVHcloud Managed Private Registry](https://www.ovhcloud.com/en-gb/public-cloud/managed-private-registry/), [Docker Hub](https://hub.docker.com/), [GitHub packages](https://github.com/features/packages), ...) and the expected format is `<registry-address>/<image-identifier>:<tag-name>`.
+- From your own Docker image, giving you the full flexibility to deploy what you want. This image can be stored on many types of registry ([OVHcloud Managed Private Registry](/links/managed-private-registry), [Docker Hub](https://hub.docker.com/), [GitHub packages](https://github.com/features/packages), ...) and the expected format is `<registry-address>/<image-identifier>:<tag-name>`.
 
 In this tutorial, we will select an OVHcloud Docker image to deploy your first **AI Deploy app**.
 

pages/public_cloud/ai_machine_learning/deploy_guide_02_getting_started/guide.en-asia.md

@@ -17,14 +17,14 @@ This guide explains how to get started with OVHcloud AI Deploy, covering the dep
 
 ## Requirements
 
-- access to the [OVHcloud Control Panel](https://www.ovh.com/auth/?action=gotomanager&from=https://www.ovh.co.uk/&ovhSubsidiary=GB)
+- access to the [OVHcloud Control Panel](/links/manager)
 - a [Public Cloud project](https://www.ovhcloud.com/en-gb/public-cloud/) in your OVHcloud account
 
 ## Instructions
 
 ### Subscribe to AI Deploy
 
-Log in to your [OVHcloud Control Panel](https://www.ovh.com/auth/?action=gotomanager&from=https://www.ovh.co.uk/&ovhSubsidiary=GB) and switch to `Public Cloud`{.action} in the top navigation bar. After selecting your Public Cloud project, click on `AI Deploy`{.action} in the left-hand navigation bar under **AI & Machine Learning**.
+Log in to your [OVHcloud Control Panel](/links/manager) and switch to `Public Cloud`{.action} in the top navigation bar. After selecting your Public Cloud project, click on `AI Deploy`{.action} in the left-hand navigation bar under **AI & Machine Learning**.
 
 Click on the `Deploy an app`{.action} button and accept the terms and conditions if any.
 
@@ -48,7 +48,7 @@ Select where your AI Deploy app will be hosted, meaning the physical location.
 AI Deploy allows a user to deploy applications from two sources:
 
 - From an OVHcloud catalog with already built-in AI models and applications.
-- From your own Docker image, giving you the full flexibility to deploy what you want. This image can be stored on many types of registry ([OVHcloud Managed Private Registry](https://www.ovhcloud.com/en-gb/public-cloud/managed-private-registry/), [Docker Hub](https://hub.docker.com/), [GitHub packages](https://github.com/features/packages), ...) and the expected format is `<registry-address>/<image-identifier>:<tag-name>`.
+- From your own Docker image, giving you the full flexibility to deploy what you want. This image can be stored on many types of registry ([OVHcloud Managed Private Registry](/links/managed-private-registry), [Docker Hub](https://hub.docker.com/), [GitHub packages](https://github.com/features/packages), ...) and the expected format is `<registry-address>/<image-identifier>:<tag-name>`.
 
 In this tutorial, we will select an OVHcloud Docker image to deploy your first **AI Deploy app**.
 

pages/public_cloud/ai_machine_learning/deploy_guide_02_getting_started/guide.en-au.md

@@ -17,14 +17,14 @@ This guide explains how to get started with OVHcloud AI Deploy, covering the dep
 
 ## Requirements
 
-- access to the [OVHcloud Control Panel](https://www.ovh.com/auth/?action=gotomanager&from=https://www.ovh.co.uk/&ovhSubsidiary=GB)
+- access to the [OVHcloud Control Panel](/links/manager)
 - a [Public Cloud project](https://www.ovhcloud.com/en-gb/public-cloud/) in your OVHcloud account
 
 ## Instructions
 
 ### Subscribe to AI Deploy
 
-Log in to your [OVHcloud Control Panel](https://www.ovh.com/auth/?action=gotomanager&from=https://www.ovh.co.uk/&ovhSubsidiary=GB) and switch to `Public Cloud`{.action} in the top navigation bar. After selecting your Public Cloud project, click on `AI Deploy`{.action} in the left-hand navigation bar under **AI & Machine Learning**.
+Log in to your [OVHcloud Control Panel](/links/manager) and switch to `Public Cloud`{.action} in the top navigation bar. After selecting your Public Cloud project, click on `AI Deploy`{.action} in the left-hand navigation bar under **AI & Machine Learning**.
 
 Click on the `Deploy an app`{.action} button and accept the terms and conditions if any.
 
@@ -48,7 +48,7 @@ Select where your AI Deploy app will be hosted, meaning the physical location.
 AI Deploy allows a user to deploy applications from two sources:
 
 - From an OVHcloud catalog with already built-in AI models and applications.
-- From your own Docker image, giving you the full flexibility to deploy what you want. This image can be stored on many types of registry ([OVHcloud Managed Private Registry](https://www.ovhcloud.com/en-gb/public-cloud/managed-private-registry/), [Docker Hub](https://hub.docker.com/), [GitHub packages](https://github.com/features/packages), ...) and the expected format is `<registry-address>/<image-identifier>:<tag-name>`.
+- From your own Docker image, giving you the full flexibility to deploy what you want. This image can be stored on many types of registry ([OVHcloud Managed Private Registry](/links/managed-private-registry), [Docker Hub](https://hub.docker.com/), [GitHub packages](https://github.com/features/packages), ...) and the expected format is `<registry-address>/<image-identifier>:<tag-name>`.
 
 In this tutorial, we will select an OVHcloud Docker image to deploy your first **AI Deploy app**.
 

pages/public_cloud/ai_machine_learning/deploy_guide_02_getting_started/guide.en-ca.md

@@ -17,14 +17,14 @@ This guide explains how to get started with OVHcloud AI Deploy, covering the dep
 
 ## Requirements
 
-- access to the [OVHcloud Control Panel](https://www.ovh.com/auth/?action=gotomanager&from=https://www.ovh.co.uk/&ovhSubsidiary=GB)
+- access to the [OVHcloud Control Panel](/links/manager)
 - a [Public Cloud project](https://www.ovhcloud.com/en-gb/public-cloud/) in your OVHcloud account
 
 ## Instructions
 
 ### Subscribe to AI Deploy
 
-Log in to your [OVHcloud Control Panel](https://www.ovh.com/auth/?action=gotomanager&from=https://www.ovh.co.uk/&ovhSubsidiary=GB) and switch to `Public Cloud`{.action} in the top navigation bar. After selecting your Public Cloud project, click on `AI Deploy`{.action} in the left-hand navigation bar under **AI & Machine Learning**.
+Log in to your [OVHcloud Control Panel](/links/manager) and switch to `Public Cloud`{.action} in the top navigation bar. After selecting your Public Cloud project, click on `AI Deploy`{.action} in the left-hand navigation bar under **AI & Machine Learning**.
 
 Click on the `Deploy an app`{.action} button and accept the terms and conditions if any.
 
@@ -48,7 +48,7 @@ Select where your AI Deploy app will be hosted, meaning the physical location.
 AI Deploy allows a user to deploy applications from two sources:
 
 - From an OVHcloud catalog with already built-in AI models and applications.
-- From your own Docker image, giving you the full flexibility to deploy what you want. This image can be stored on many types of registry ([OVHcloud Managed Private Registry](https://www.ovhcloud.com/en-gb/public-cloud/managed-private-registry/), [Docker Hub](https://hub.docker.com/), [GitHub packages](https://github.com/features/packages), ...) and the expected format is `<registry-address>/<image-identifier>:<tag-name>`.
+- From your own Docker image, giving you the full flexibility to deploy what you want. This image can be stored on many types of registry ([OVHcloud Managed Private Registry](/links/managed-private-registry), [Docker Hub](https://hub.docker.com/), [GitHub packages](https://github.com/features/packages), ...) and the expected format is `<registry-address>/<image-identifier>:<tag-name>`.
 
 In this tutorial, we will select an OVHcloud Docker image to deploy your first **AI Deploy app**.
 

pages/public_cloud/ai_machine_learning/deploy_guide_02_getting_started/guide.en-gb.md

@@ -17,14 +17,14 @@ This guide explains how to get started with OVHcloud AI Deploy, covering the dep
 
 ## Requirements
 
-- access to the [OVHcloud Control Panel](https://www.ovh.com/auth/?action=gotomanager&from=https://www.ovh.co.uk/&ovhSubsidiary=GB)
+- access to the [OVHcloud Control Panel](/links/manager)
 - a [Public Cloud project](https://www.ovhcloud.com/en-gb/public-cloud/) in your OVHcloud account
 
 ## Instructions
 
 ### Subscribe to AI Deploy
 
-Log in to your [OVHcloud Control Panel](https://www.ovh.com/auth/?action=gotomanager&from=https://www.ovh.co.uk/&ovhSubsidiary=GB) and switch to `Public Cloud`{.action} in the top navigation bar. After selecting your Public Cloud project, click on `AI Deploy`{.action} in the left-hand navigation bar under **AI & Machine Learning**.
+Log in to your [OVHcloud Control Panel](/links/manager) and switch to `Public Cloud`{.action} in the top navigation bar. After selecting your Public Cloud project, click on `AI Deploy`{.action} in the left-hand navigation bar under **AI & Machine Learning**.
 
 Click on the `Deploy an app`{.action} button and accept the terms and conditions if any.
 
@@ -48,7 +48,7 @@ Select where your AI Deploy app will be hosted, meaning the physical location.
 AI Deploy allows a user to deploy applications from two sources:
 
 - From an OVHcloud catalog with already built-in AI models and applications.
-- From your own Docker image, giving you the full flexibility to deploy what you want. This image can be stored on many types of registry ([OVHcloud Managed Private Registry](https://www.ovhcloud.com/en-gb/public-cloud/managed-private-registry/), [Docker Hub](https://hub.docker.com/), [GitHub packages](https://github.com/features/packages), ...) and the expected format is `<registry-address>/<image-identifier>:<tag-name>`.
+- From your own Docker image, giving you the full flexibility to deploy what you want. This image can be stored on many types of registry ([OVHcloud Managed Private Registry](/links/managed-private-registry), [Docker Hub](https://hub.docker.com/), [GitHub packages](https://github.com/features/packages), ...) and the expected format is `<registry-address>/<image-identifier>:<tag-name>`.
 
 In this tutorial, we will select an OVHcloud Docker image to deploy your first **AI Deploy app**.
 

pages/public_cloud/ai_machine_learning/deploy_guide_02_getting_started/guide.en-ie.md

@@ -17,14 +17,14 @@ This guide explains how to get started with OVHcloud AI Deploy, covering the dep
 
 ## Requirements
 
-- access to the [OVHcloud Control Panel](https://www.ovh.com/auth/?action=gotomanager&from=https://www.ovh.co.uk/&ovhSubsidiary=GB)
+- access to the [OVHcloud Control Panel](/links/manager)
 - a [Public Cloud project](https://www.ovhcloud.com/en-gb/public-cloud/) in your OVHcloud account
 
 ## Instructions
 
 ### Subscribe to AI Deploy
 
-Log in to your [OVHcloud Control Panel](https://www.ovh.com/auth/?action=gotomanager&from=https://www.ovh.co.uk/&ovhSubsidiary=GB) and switch to `Public Cloud`{.action} in the top navigation bar. After selecting your Public Cloud project, click on `AI Deploy`{.action} in the left-hand navigation bar under **AI & Machine Learning**.
+Log in to your [OVHcloud Control Panel](/links/manager) and switch to `Public Cloud`{.action} in the top navigation bar. After selecting your Public Cloud project, click on `AI Deploy`{.action} in the left-hand navigation bar under **AI & Machine Learning**.
 
 Click on the `Deploy an app`{.action} button and accept the terms and conditions if any.
 
@@ -48,7 +48,7 @@ Select where your AI Deploy app will be hosted, meaning the physical location.
 AI Deploy allows a user to deploy applications from two sources:
 
 - From an OVHcloud catalog with already built-in AI models and applications.
-- From your own Docker image, giving you the full flexibility to deploy what you want. This image can be stored on many types of registry ([OVHcloud Managed Private Registry](https://www.ovhcloud.com/en-gb/public-cloud/managed-private-registry/), [Docker Hub](https://hub.docker.com/), [GitHub packages](https://github.com/features/packages), ...) and the expected format is `<registry-address>/<image-identifier>:<tag-name>`.
+- From your own Docker image, giving you the full flexibility to deploy what you want. This image can be stored on many types of registry ([OVHcloud Managed Private Registry](/links/managed-private-registry), [Docker Hub](https://hub.docker.com/), [GitHub packages](https://github.com/features/packages), ...) and the expected format is `<registry-address>/<image-identifier>:<tag-name>`.
 
 In this tutorial, we will select an OVHcloud Docker image to deploy your first **AI Deploy app**.
 

pages/public_cloud/ai_machine_learning/deploy_guide_02_getting_started/guide.en-sg.md

@@ -17,14 +17,14 @@ This guide explains how to get started with OVHcloud AI Deploy, covering the dep
 
 ## Requirements
 
-- access to the [OVHcloud Control Panel](https://www.ovh.com/auth/?action=gotomanager&from=https://www.ovh.co.uk/&ovhSubsidiary=GB)
+- access to the [OVHcloud Control Panel](/links/manager)
 - a [Public Cloud project](https://www.ovhcloud.com/en-gb/public-cloud/) in your OVHcloud account
 
 ## Instructions
 
 ### Subscribe to AI Deploy
 
-Log in to your [OVHcloud Control Panel](https://www.ovh.com/auth/?action=gotomanager&from=https://www.ovh.co.uk/&ovhSubsidiary=GB) and switch to `Public Cloud`{.action} in the top navigation bar. After selecting your Public Cloud project, click on `AI Deploy`{.action} in the left-hand navigation bar under **AI & Machine Learning**.
+Log in to your [OVHcloud Control Panel](/links/manager) and switch to `Public Cloud`{.action} in the top navigation bar. After selecting your Public Cloud project, click on `AI Deploy`{.action} in the left-hand navigation bar under **AI & Machine Learning**.
 
 Click on the `Deploy an app`{.action} button and accept the terms and conditions if any.
 
@@ -48,7 +48,7 @@ Select where your AI Deploy app will be hosted, meaning the physical location.
 AI Deploy allows a user to deploy applications from two sources:
 
 - From an OVHcloud catalog with already built-in AI models and applications.
-- From your own Docker image, giving you the full flexibility to deploy what you want. This image can be stored on many types of registry ([OVHcloud Managed Private Registry](https://www.ovhcloud.com/en-gb/public-cloud/managed-private-registry/), [Docker Hub](https://hub.docker.com/), [GitHub packages](https://github.com/features/packages), ...) and the expected format is `<registry-address>/<image-identifier>:<tag-name>`.
+- From your own Docker image, giving you the full flexibility to deploy what you want. This image can be stored on many types of registry ([OVHcloud Managed Private Registry](/links/managed-private-registry), [Docker Hub](https://hub.docker.com/), [GitHub packages](https://github.com/features/packages), ...) and the expected format is `<registry-address>/<image-identifier>:<tag-name>`.
 
 In this tutorial, we will select an OVHcloud Docker image to deploy your first **AI Deploy app**.
 

pages/public_cloud/ai_machine_learning/deploy_guide_02_getting_started/guide.en-us.md

@@ -17,14 +17,14 @@ This guide explains how to get started with OVHcloud AI Deploy, covering the dep
 
 ## Requirements
 
-- access to the [OVHcloud Control Panel](https://www.ovh.com/auth/?action=gotomanager&from=https://www.ovh.co.uk/&ovhSubsidiary=GB)
+- access to the [OVHcloud Control Panel](/links/manager)
 - a [Public Cloud project](https://www.ovhcloud.com/en-gb/public-cloud/) in your OVHcloud account
 
 ## Instructions
 
 ### Subscribe to AI Deploy
 
-Log in to your [OVHcloud Control Panel](https://www.ovh.com/auth/?action=gotomanager&from=https://www.ovh.co.uk/&ovhSubsidiary=GB) and switch to `Public Cloud`{.action} in the top navigation bar. After selecting your Public Cloud project, click on `AI Deploy`{.action} in the left-hand navigation bar under **AI & Machine Learning**.
+Log in to your [OVHcloud Control Panel](/links/manager) and switch to `Public Cloud`{.action} in the top navigation bar. After selecting your Public Cloud project, click on `AI Deploy`{.action} in the left-hand navigation bar under **AI & Machine Learning**.
 
 Click on the `Deploy an app`{.action} button and accept the terms and conditions if any.
 
@@ -48,7 +48,7 @@ Select where your AI Deploy app will be hosted, meaning the physical location.
 AI Deploy allows a user to deploy applications from two sources:
 
 - From an OVHcloud catalog with already built-in AI models and applications.
-- From your own Docker image, giving you the full flexibility to deploy what you want. This image can be stored on many types of registry ([OVHcloud Managed Private Registry](https://www.ovhcloud.com/en-gb/public-cloud/managed-private-registry/), [Docker Hub](https://hub.docker.com/), [GitHub packages](https://github.com/features/packages), ...) and the expected format is `<registry-address>/<image-identifier>:<tag-name>`.
+- From your own Docker image, giving you the full flexibility to deploy what you want. This image can be stored on many types of registry ([OVHcloud Managed Private Registry](/links/managed-private-registry), [Docker Hub](https://hub.docker.com/), [GitHub packages](https://github.com/features/packages), ...) and the expected format is `<registry-address>/<image-identifier>:<tag-name>`.
 
 In this tutorial, we will select an OVHcloud Docker image to deploy your first **AI Deploy app**.