Merge pull request #7 from jasonrandrews/copilot/update-md-links-for-learn-arm

Convert learn.arm.com URLs to local markdown links

Author: jasonrandrews

content/install-guides/streamline-cli.md

@@ -52,7 +52,7 @@ Streamline CLI tools are supported on the following Arm CPUs:
 
 Use the Arm Sysreport utility to determine whether your system configuration supports hardware-assisted profiling. Follow the instructions in [Get ready for performance analysis with Sysreport][1] to discover how to download and run this utility.
 
-[1]: https://learn.arm.com/learning-paths/servers-and-cloud-computing/sysreport/
+[1]: /learning-paths/servers-and-cloud-computing/sysreport/
 
 The `perf counters` entry in the generated report indicates how many CPU counters are available. The `perf sampling` entry indicates if SPE is available. You will achieve the best profiles in systems with at least 6 available CPU counters and SPE.
 

content/learning-paths/automotive/openadkit2_safetyisolation/3_container_spliting.md

@@ -10,7 +10,7 @@ layout: learningpathall
 
 Now that you’ve explored the concept of a safety island, a dedicated subsystem responsible for executing safety-critical control logic, and learned how DDS (Data Distribution Service) enables real-time, distributed communication, you’ll refactor the original OpenAD Kit architecture into a multi-instance deployment.
 
-The predecessor Learning Path, [Deploy Open AD Kit containerized autonomous driving simulation on Arm Neoverse](http://learn.arm.com/learning-paths/automotive/openadkit1_container/), showed how to  deploying three container components on a single Arm-based instance, to handle:
+The predecessor Learning Path, [Deploy Open AD Kit containerized autonomous driving simulation on Arm Neoverse](/learning-paths/automotive/openadkit1_container/), showed how to  deploying three container components on a single Arm-based instance, to handle:
 - The simulation environment
 - Visualization
 - Planning and control

content/learning-paths/automotive/openadkit2_safetyisolation/4_multiinstance_executing.md

@@ -86,7 +86,7 @@ On the Simulation and Visualization node, execute:
 
 Once both machines are running their launch scripts, the Visualizer container exposes a web-accessible interface at: http://6080/vnc.html.
 
-Open this link in your browser to observe the simulation in real time. The demo closely resembles the output in the [previous Learning Path, Deploy Open AD Kit containerized autonomous driving simulation on Arm Neoverse](http://learn.arm.com/learning-paths/automotive/openadkit1_container/4_run_openadkit/). 
+Open this link in your browser to observe the simulation in real time. The demo closely resembles the output in the [previous Learning Path, Deploy Open AD Kit containerized autonomous driving simulation on Arm Neoverse](/learning-paths/automotive/openadkit1_container/4_run_openadkit/). 
 
 ![Distributed OpenAD Kit simulation running on two Arm-based instances with visualizer and simulator coordination over DDS alt-text#center](split_aws_run.gif "Visualizer output from a distributed OpenAD Kit simulation showing ROS 2 modules running across two cloud instances using DDS communication.")
 

content/learning-paths/servers-and-cloud-computing/from-iot-to-the-cloud-part1/_index.md

@@ -18,7 +18,7 @@ prerequisites:
     - 'Visual Studio Code: https://code.visualstudio.com/download' 
     - 'Docker Extension for Visual Studio Code: https://code.visualstudio.com/docs/containers/overview'
     - 'C# Extension for Visual Studio Code: https://marketplace.visualstudio.com/items?itemName=ms-dotnettools.csharp'
-    - 'Install Docker on Arm64: https://learn.arm.com/install-guides/docker/docker-woa/'
+    - '[Install Docker on Arm64](/install-guides/docker/docker-desktop/)'
 
 author: Dawid Borycki
 

content/learning-paths/servers-and-cloud-computing/from-iot-to-the-cloud-part3/how-to-2.md

@@ -7,7 +7,7 @@ layout: learningpathall
 ---
 
 ## Objective
-You will create the managed Kubernetes cluster in Azure, which is integrated with the Azure Container Registry. The cluster will use arm64 VMs as the nodes. This tutorial shows how to manually create the cluster. Optionally you can use Terraform-based deployment as described here: https://learn.arm.com/learning-paths/servers-and-cloud-computing/aks/cluster_deployment/.
+You will create the managed Kubernetes cluster in Azure, which is integrated with the Azure Container Registry. The cluster will use arm64 VMs as the nodes. This tutorial shows how to manually create the cluster. Optionally you can use [Terraform-based deployment](/learning-paths/servers-and-cloud-computing/aks/cluster_deployment/).
 
 ## Create the Kubernetes cluster
 Login to the Azure Portal and type **Kubernetes** in the search box. Then, look for the Kubernetes services:

content/learning-paths/servers-and-cloud-computing/profiling-for-neoverse/system_compatibility.md

@@ -9,7 +9,7 @@ layout: learningpathall
 
 Before you begin, you can use the Arm Sysreport utility to determine whether your system configuration supports hardware-assisted profiling. Follow the instructions in [Get ready for performance analysis with Sysreport][1] to discover how to download and run this utility.
 
-[1]: https://learn.arm.com/learning-paths/servers-and-cloud-computing/sysreport/
+[1]: /learning-paths/servers-and-cloud-computing/sysreport/
 
 The `perf counters` entry in the generated report indicates how many CPU counters are available. The `perf sampling` entry indicates if SPE is available. You can achieve the best profiles in systems with at least 6 available CPU counters and SPE.
 

content/migration/_index.md

@@ -102,7 +102,7 @@ You can quickly find out if software dependencies are available for Arm using th
 
 The below resources are curated to address migration challenges on specific cloud providers. Look through them for additional context.
 - [Porting architecture specific intrinsics](/learning-paths/cross-platform/intrinsics/) - perfect for porting intrinsics from another architecture.
-- [Arm software install guides](https://learn.arm.com/install-guides) - good for quickly installing common tools and software.
+- [Arm software install guides](/install-guides) - good for quickly installing common tools and software.
 - [simd.info](https://simd.info/) - a searchable reference tool for C intrinsics for SIMD engines.
 - [migrate-ease](https://github.com/migrate-ease/migrate-ease) - scan your source code for suggestions to migrate to Arm Neoverse, get started [here](/learning-paths/servers-and-cloud-computing/migrate-ease/).
 - [Arm Infrastructure Solutions blog](https://community.arm.com/arm-community-blogs/b/infrastructure-solutions-blog/) - an Arm-specific technical blog.