linode · wildmanonline · Feb 1, 2023 · Jan 19, 2023 · Jan 19, 2023 · Jan 19, 2023
diff --git a/docs/guides/_shortguides/email-warning-shortguide/index.md b/docs/guides/_shortguides/email-warning-shortguide/index.md
@@ -3,7 +3,7 @@ slug: email-warning-shortguide
 author:
   name: Linode
   email: docs@linode.com
-description: 'Shortguide that displays the warning note that email ports are blocked on all new Linodes by default.'
+description: 'Shortguide that displays the warning note that email ports are blocked on all new Compute Instances by default.'
 license: '[CC BY-ND 4.0](https://creativecommons.org/licenses/by-nd/4.0)'
 published: 2019-10-31
 modified: 2023-01-24
@@ -17,5 +17,5 @@ aliases: ['/email-warning-shortguide/']
 ---
 
 {{< note type="warning" title="Spam prevention and email restrictions on the Linode Platform" isCollapsible=true >}}
-This guide may involve or result in sending email. In an effort to fight spam, Linode may restrict outbound connections on ports 25, 465, and 587 on Linodes for new accounts created after November 5th, 2019. For more information, please see [Sending Email on Linode](/docs/guides/running-a-mail-server/#sending-email-on-linode).
+This guide may involve sending email from a Compute Instance. In an effort to fight spam, Linode may restrict outbound connections on ports 25, 465, and 587 on Compute Instances for new accounts created after November 5th, 2019. For more information, please see [Sending Email on Linode](/docs/guides/running-a-mail-server/#sending-email-on-linode).
 {{< /note >}}
diff --git a/docs/guides/akamai/get-started/create-a-simple-microsite/index.md b/docs/guides/akamai/get-started/create-a-simple-microsite/index.md
@@ -96,7 +96,7 @@ If you plan to utilize Linode DNS Manager, we recommend taking steps now familia
     {{< note respectIndent=false >}}
 You can also create a Linode Compute instance using these options:
 
-* Create a new Linux machine and install and set up a custom web server. For more information and instructions, refer to [Creating a Compute Instance](/docs/guides/creating-a-compute-instance/).
+* Create a new Linux machine and install and set up a custom web server. For more information and instructions, refer to [Creating a Compute Instance](/docs/products/compute/compute-instances/guides/create/).
 
 * Select your preferred web server from Linode Marketplace to get a fully configured web server. For more information and instructions, refer to [Marketplace Apps - Get Started](/docs/products/tools/marketplace/get-started/).
 
@@ -149,7 +149,7 @@ server {
 
 1.  Next, update your origin certificate to include the Origin hostname and reload your web server.
 
-    If using the Node.js Marketplace App, access your origin server via [LISH](/docs/guides/lish/) or [SSH](/docs/guides/connect-to-server-over-ssh/) connection, replacing the example hostnames with your own:
+    If using the Node.js Marketplace App, access your origin server via [LISH](/docs/products/compute/compute-instances/guides/lish/) or [SSH](/docs/guides/connect-to-server-over-ssh/) connection, replacing the example hostnames with your own:
 
         certbot --expand -d www.test.com -d origin-0361ece-www.test.com
 
@@ -241,19 +241,19 @@ If you want to use a solution such as [GlusterFS](https://www.gluster.org/), ins
 
 1.  Use the Linode cloning feature to create another Linode origin server in the same region.
 
-    Fo
10000
r instructions, refer to [Cloning a Linode](/docs/guides/clone-your-linode/).
+    For instructions, refer to [Cloning a Linode](/docs/products/compute/compute-instances/guides/clone-instance/).
 
 1.  Under **Select Linode to Clone From**, click the Linode you created for the web server in [Create a Linode](#create-a-linode).
 
 1.  Select the same Linode Plan option you previously selected and click **Create Linode**.
 
-1.  [Add a Private IPv4 Address](/docs/guides/managing-ip-addresses/#adding-an-ip-address) to the cloned Linode.
+1.  [Add a Private IPv4 Address](/docs/products/compute/compute-instances/guides/manage-ip-addresses/#adding-an-ip-address) to the cloned Linode.
 
 1.  Select **Power On** for the cloned Linode after creation is complete.
 
 1.  Ensure that the web server is running on your cloned Linode.
 
-    If using the Node.js Marketplace App, [LISH](/docs/guides/lish/) or [SSH](/docs/guides/connect-to-server-over-ssh/) into the cloned Linode and start the Node.js server as a background process:
+    If using the Node.js Marketplace App, [LISH](/docs/products/compute/compute-instances/guides/lish/) or [SSH](/docs/guides/connect-to-server-over-ssh/) into the cloned Linode and start the Node.js server as a background process:
 
         node /opt/nodejs/hello.js &
 
@@ -266,7 +266,7 @@ If you want to use a solution such as [GlusterFS](https://www.gluster.org/), ins
 Linode NodeBalancers distribute user requests between compute instances to improve capacity, performance, and availability. For more information, refer to the [Getting Started with NodeBalancers](/docs/products/networking/nodebalancers/get-started/) guide.
 
 {{< note >}}
-Before you start, make sure that each of your origin servers has a private IPv4 address. For more information and instructions on how to add private IPv4 addresses to your origin servers, refer to the [Managing IP addresses](/docs/guides/managing-ip-addresses/#adding-an-ip-address) guide.
+Before you start, make sure that each of your origin servers has a private IPv4 address. For more information and instructions on how to add private IPv4 addresses to your origin servers, refer to the [Managing IP addresses](/docs/products/compute/compute-instances/guides/manage-ip-addresses/#adding-an-ip-address) guide.
 {{< /note >}}
 
 1.  Log in to the [Linode Cloud Manager](https://login.linode.com/login).

diff --git a/docs/guides/applications/big-data/history-of-machine-learning/index.md b/docs/guides/applications/big-data/history-of-machine-learning/index.md
@@ -150,4 +150,4 @@ This is also the year that Google Assistant, an AI-powered virtual assistant, wa
 
 ## Conclusion
 
-Today, there are many available open-source tools and frameworks that you can use to power machine learning applications. PyTorch is a Python-based machine learning framework that makes use of CPU and GPU to accelerate its processing performance. You can [install PyTorch on an Ubuntu 20.04 Linode server](/docs/guides/pytorch-installation-ubuntu-2004/) and make use of [GPU](/docs/products/compute/gpu/) or [dedicated CPU](/docs/products/compute/dedicated-cpu/) compute instances.
+Today, there are many available open-source tools and frameworks that you can use to power machine learning applications. PyTorch is a Python-based machine learning framework that makes use of CPU and GPU to accelerate its processing performance. You can [install PyTorch on an Ubuntu 20.04 Linode server](/docs/guides/pytorch-installation-ubuntu-2004/) and make use of [GPU](/docs/products/compute/compute-instances/plans/gpu/) or [dedicated CPU](/docs/products/compute/compute-instances/plans/dedicated-cpu/) compute instances.
diff --git a/docs/guides/applications/big-data/how-to-install-apache-kafka-on-ubuntu/index.md b/docs/guides/applications/big-data/how-to-install-apache-kafka-on-ubuntu/index.md
@@ -26,9 +26,9 @@ external_resources:
 
 ## Before You Begin
 
-1.  If you have not already done so, create a Linode account and Compute Instance. See our [Getting Started with Linode](/docs/guides/getting-started/) and [Creating a Compute Instance](/docs/guides/creating-a-compute-instance/) guides.
+1.  If you have not already done so, create a Linode account and Compute Instance. See our [Getting Started with Linode](/docs/products/platform/get-started/) and [Creating a Compute Instance](/docs/products/compute/compute-instances/guides/create/) guides.
 
-1.  Follow our [Setting Up and Securing a Compute Instance](/docs/guides/set-up-and-secure/) guide to update your system. You may also wish to set the timezone, configure your hostname, create a limited user account, and harden SSH access.
+1.  Follow our [Setting Up and Securing a Compute Instance](/docs/products/compute/compute-instances/guides/set-up-and-secure/) guide to update your system. You may also wish to set the timezone, configure your hostname, create a limited user account, and harden SSH access.
 
 {{< note respectIndent=false >}}
 This guide is written for non-root users. Commands that require elevated privileges are prefixed with `sudo`. If you’re not familiar with the `sudo` command, see the [Linux Users and Groups](/docs/guides/linux-users-and-groups/) guide.

diff --git a/docs/guides/applications/big-data/how-to-install-tensorflow/index.md b/docs/guides/applications/big-data/how-to-install-tensorflow/index.md
@@ -33,9 +33,9 @@ This guide describes how to install TensorFlow on Ubuntu 20.04, which is fully s
 
 ## Before You Begin
 
-1.  If you have not already done so, create a Linode account and Compute Instance. See our [Getting Started with Linode](/docs/guides/getting-started/) and [Creating a Compute Instance](/docs/guides/creating-a-compute-instance/) guides.
+1.  If you have not already done so, create a Linode account and Compute Instance. See our [Getting Started with Linode](/docs/products/platform/get-started/) and [Creating a Compute Instance](/docs/products/compute/compute-instances/guides/create/) guides.
 
-1.  Follow our [Setting Up and Securing a Compute Instance](/docs/guides/set-up-and-secure/) guide to update your system. You may also wish to set the timezone, configure your hostname, create a limited user account, and harden SSH access.
+1.  Follow our [Setting Up and Securing a Compute Instance](/docs/products/compute/compute-instances/guides/set-up-and-secure/) guide to update your system. You may also wish to set the timezone, configure your hostname, create a limited user account, and harden SSH access.
 
 {{< note respectIndent=false >}}
 This guide is written for a non-root user. Commands that require elevated privileges are prefixed with `sudo`. If you’re not familiar with the `sudo` command, see the [Linux Users and Groups](/docs/guides/linux-users-and-groups/) guide.

diff --git a/...applications/big-data/how-to-move-machine-learning-model-to-production/index.md b/...applications/big-data/how-to-move-machine-learning-model-to-production/index.md
@@ -29,9 +29,9 @@ This guide will show you how to create a simple Flask API that will use machine
 
 ## Before You Begin
 
-1.  If you have not already done so, create a Linode account and Compute Instance. See our [Getting Started with Linode](/docs/guides/getting-started/) and [Creating a Compute Instance](/docs/guides/creating-a-compute-instance/) guides.
+1.  If you have not already done so, create a Linode account and Compute Instance. See our [Getting Started with Linode](/docs/products/platform/get-started/) and [Creating a Compute Instance](/docs/products/compute/compute-instances/guides/create/) guides.
 
-1.  Follow our [Setting Up and Securing a Compute Instance](/docs/guides/set-up-and-secure/) guide to update your system. You may also wish to set the timezone, configure your hostname, create a limited user account, and harden SSH access.
+1.  Follow our [Setting Up and Securing a Compute Instance](/docs/products/compute/compute-instances/guides/set-up-and-secure/) guide to update your system. You may also wish to set the timezone, configure your hostname, create a limited user account, and harden SSH access.
 
 This guide uses Ubuntu 16.04 in the examples. Modify the commands as needed for your distribution. The scripts in this guide are written in Python 3, but should also work on Python 2.
 

diff --git a/...l-a-jupyter-notebook-server-on-a-linode-behind-an-apache-reverse-proxy/index.md b/...l-a-jupyter-notebook-server-on-a-linode-behind-an-apache-reverse-proxy/index.md
@@ -31,9 +31,9 @@ Jupyter Notebook is being replaced by [JupyterLab](https://jupyterlab.readthedoc
 
 Because this guide is written for Linodes running Ubuntu 16.04, you should:
 
-1.  If you have not already done so, create a Linode account and Compute Instance. See our [Getting Started with Linode](/docs/guides/getting-started/) and [Creating a Compute Instance](/docs/guides/creating-a-compute-instance/) guides.
+1.  If you have not already done so, create a Linode account and Compute Instance. See our [Getting Started with Linode](/docs/products/platform/get-started/) and [Creating a Compute Instance](/docs/products/compute/compute-instances/guides/create/) guides.
 
-1.  Follow our [Setting Up and Securing a Compute Instance](/docs/guides/set-up-and-secure/) guide to update your system. You may also wish to set the timezone, configure your hostname, create a limited user account, and harden SSH access.
+1.  Follow our [Setting Up and Securing a Compute Instance](/docs/products/compute/compute-instances/guides/set-up-and-secure/) guide to update your system. You may also wish to set the timezone, configure your hostname, create a limited user account, and harden SSH access.
 
 ## Install Anaconda Package Manager
 

diff --git a/...tions/big-data/introduction-to-machine-learning-training-and-inference/index.md b/...tions/big-data/introduction-to-machine-learning-training-and-inference/index.md
@@ -18,7 +18,7 @@ contributor:
   link: https://twitter.com/apatrizio
 external_resources:
 - '[How to Move Your Machine Learning Model to Production](/docs/guides/how-to-move-machine-learning-model-to-production/)'
-- '[Use Cases for Linode GPU Instances](/docs/products/compute/gpu/guides/use-cases/)'
+- '[Use Cases for Linode GPU Instances](/docs/products/compute/compute-instances/plans/gpu/)'
 ---
 
 Machine learning (ML) has been around conceptually since 1959, when [Arthur Samuel](https://en.wikipedia.org/wiki/Arthur_Samuel), a pioneer in the field of computer gaming and artificial intelligence, coined the term. Samuel said that machine learning "gives computers the ability to learn without being explicitly programmed". While at IBM he wrote a program to play Checkers, which became the first known self-learning program.
@@ -51,7 +51,7 @@ Once a machine learning model is trained, you can move on to the second phase, w
 
 ## Machine Learning: Cloud vs. On Premises
 
-Training and inference are distinct in their processing requirements. Training requires very powerful processors, with [high-end server CPUs and GPUs](/docs/products/compute/gpu/get-started/); whereas inference can often be accomplished on-device, even a mobile phone. Instagram filters that change a person's appearance are an example. The phone recognizes your facial features and suggests changes.
+Training and inference are distinct in their processing requirements. Training requires very powerful processors, with [high-end server CPUs and GPUs](/docs/products/compute/compute-instances/get-started/); whereas inference can often be accomplished on-device, even a mobile phone. Instagram filters that change a person's appearance are an example. The phone recognizes your facial features and suggests changes.
 
 For training, it is not uncommon for systems to use tens or even hundreds of millions of data set examples. The question then becomes where to accumulate all of your data. If the data resides on premises, then it doesn't make sense to upload it to a cloud service provider (CSP). You should just process the data where it resides.
 
@@ -69,7 +69,7 @@ Cloud storage for machine learning data has multiple benefits and advantages. Th
 
 - **De-coupled architecture is bound to specific hardware**: In an on-prem situation, a company is likely tied to its hardware. When the company upgrades their hardware it also has to undergo a major software rewrite. Cloud-based training has a layer of abstraction from the hardware, so when the hardware is upgraded, the training algorithms may not require a rewrite.
 
-ML training is [where GPUs really shine](/docs/products/compute/gpu/guides/use-cases/), but at the cost of e
F438
xpensive hardware and a sizable electric bill. If you are doing training only a few times a year, then the argument for cloud-based training is clear. Do you really want to invest in millions of dollars in high-end GPU-based servers you might use a half dozen times a year? Take your data to the cloud for training and use the models you generate in the cloud or on premises.
+ML training is [where GPUs really shine](/docs/products/compute/compute-instances/plans/gpu/), but at the cost of expensive hardware and a sizable electric bill. If you are doing training only a few times a year, then the argument for cloud-based training is clear. Do you really want to invest in millions of dollars in high-end GPU-based servers you might use a half dozen times a year? Take your data to the cloud for training and use the models you generate in the cloud or on premises.
 
 ## Tips for Machine Learning in the Cloud
 

diff --git a/docs/guides/applications/cloud-storage/access-google-drive-linode/index.md b/docs/guides/applications/cloud-storage/access-google-drive-linode/index.md
@@ -21,7 +21,7 @@ If you've used Google Drive, you know that it can be an indispensable tool for r
 
 **Google-drive-ocamlfuse (OCamlfuse)** uses the Drive API to scan and access your Google Drive contents. A majority of the following steps involve authorizing its use and applying that authorization to the copy running on your Linode. Once it has been installed and authorized, you will have real-time access to your Google Drive via Linode.
 
-Before beginning, you should be familiar with our [Setting Up and Securing a Compute Instance](/docs/guides/set-up-and-secure/) guide, particularly if your Google Drive contains sensitive personal information. This guide is intended to be run as a non-root user, with sudo privileges required for some steps.
+Before beginning, you should be familiar with our [Setting Up and Securing a Compute Instance](/docs/products/compute/compute-instances/guides/set-up-and-secure/) guide, particularly if your Google Drive contains sensitive personal information. This guide is intended to be run as a non-root user, with sudo privileges required for some steps.
 
 ## Install Software
 

diff --git a/...es/applications/cloud-storage/access-your-box-account-from-your-linode/index.md b/...es/applications/cloud-storage/access-your-box-account-from-your-linode/index.md
@@ -19,9 +19,9 @@ If you've discovered [Box](https://www.box.com/) then you know that it can be a
 
 ## Before You Begin
 
-1.  If you have not already done so, create a Linode account and Compute Instance. See our [Getting Started with Linode](/docs/guides/getting-started/) and [Creating a Compute Instance](/docs/guides/creating-a-compute-instance/) guides.
+1.  If you have not already done so, create a Linode account and Compute Instance. See our [Getting Started with Linode](/docs/products/platform/get-started/) and [Creating a Compute Instance](/docs/products/compute/compute-instances/guides/create/) guides.
 
-1.  Follow our [Setting Up and Securing a Compute Instance](/docs/guides/set-up-and-secure/) guide to update your system. You may also wish to set the timezone, configure your hostname, create a limited user account, and harden SSH access.
+1.  Follow our [Setting Up and Securing a Compute Instance](/docs/products/compute/compute-instances/guides/set-up-and-secure/) guide to update your system. You may also wish to set the timezone, configure your hostname, create a limited user account, and harden SSH access.
 
 {{< note respectIndent=false >}}
 This guide requires having a Box account.

diff --git a/docs/guides/applications/cloud-storage/dropbox/index.md b/docs/guides/applications/cloud-storage/dropbox/index.md
@@ -19,7 +19,7 @@ title: 'Installing and Configuring Dropbox'
 
 Dropbox allows for the storage of your documents, files, videos, and photographs. Whatever you choose to store will be available on the Dropbox website, as well as any computers, phones, or servers you have the Dropbox application installed.
 
-Prior to setting up Dropbox on your Linode it is recommended to follow the [Setting Up and Securing a Compute Instance](/docs/guides/set-up-and-secure/) guide. You will need a [Dropbox account](https://www.dropbox.com/). Dropbox can be used on Debian, Ubuntu, and any Red Hat Enterprise Linux-based OS.
+Prior to setting up Dropbox on your Linode it is recommended to follow the [Setting Up and Securing a Compute Instance](/docs/products/compute/compute-instances/guides/set-up-and-secure/) guide. You will need a [Dropbox account](https://www.dropbox.com/). Dropbox can be used on Debian, Ubuntu, and any Red Hat Enterprise Linux-based OS.
 
 ## Installing Dependencies
Original file line number	Diff line number	Diff line change
Expand Up		@@ -150,4 +150,4 @@ This is also the year that Google Assistant, an AI-powered virtual assistant, wa

		## Conclusion

		Today, there are many available open-source tools and frameworks that you can use to power machine learning applications. PyTorch is a Python-based machine learning framework that makes use of CPU and GPU to accelerate its processing performance. You can [install PyTorch on an Ubuntu 20.04 Linode server](/docs/guides/pytorch-installation-ubuntu-2004/) and make use of [GPU](/docs/products/compute/gpu/) or [dedicated CPU](/docs/products/compute/dedicated-cpu/) compute instances.
		Today, there are many available open-source tools and frameworks that you can use to power machine learning applications. PyTorch is a Python-based machine learning framework that makes use of CPU and GPU to accelerate its processing performance. You can [install PyTorch on an Ubuntu 20.04 Linode server](/docs/guides/pytorch-installation-ubuntu-2004/) and make use of [GPU](/docs/products/compute/compute-instances/plans/gpu/) or [dedicated CPU](/docs/products/compute/compute-instances/plans/dedicated-cpu/) compute instances.