Fix deployment links

Author: RyaliNvidia

CONTRIBUTING.md

@@ -27,7 +27,7 @@ If you are interested in contributing to OSMO, your contributions will fall into
 
 - **[Git LFS](https://git-lfs.com/)** - Source control for large files (>=3.7.1)
 - **[Bazel](https://bazel.build/install/bazelisk)** - Build tool (>=8.1.1)
-- **[Docker](https://docs.docker.com/get-docker/)** - Container runtime (>=28.3.2)
+- **[Docker](https://docs.docker.com/get-started/get-docker/)** - Container runtime (>=28.3.2)
 - **[Helm](https://helm.sh/docs/intro/install/)** - Package manager for Kubernetes (>=3.17.1)
 - **[KIND](https://kind.sigs.k8s.io/docs/user/quick-start/#installation)** - Kubernetes in Docker
   (>=0.29.0)

docs/conf.py

@@ -71,11 +71,18 @@
 
 # Linkcheck ignore
 linkcheck_ignore = [
-    'https://github.com/settings/tokens/new',
     'https://osmo-example-url.com*',
-    'https://github.com/NVIDIA/Isaac-GR00T*',
+    'http://osmo.example.com*',
+    'https://osmo.example.com*',
+    'http://localhost:*',
+    # Requires authentication so we can't check it
+    'https://github.com/settings/tokens/new',
+    'https://console.volcengine.com*',
+    'https://us-east-1.console.aws.amazon.com*'
 ]
 
+linkcheck_anchors = False
+
 # Copybutton
 copybutton_prompt_text = r">>> |\.\.\. |\$ |In \[\d*\]: | {2,5}\.\.\.: | {5,8}: "
 copybutton_prompt_is_regexp = True

docs/deployment_guide/appendix/deploy_local.rst

@@ -56,7 +56,7 @@ Prerequisites
 
 Install the following tools on your workstation:
 
-* `Docker <https://docs.docker.com/get-docker/>`_ - Container runtime (>=28.3.2)
+* `Docker <https://docs.docker.com/get-started/get-docker/>`_ - Container runtime (>=28.3.2)
 * `KIND <https://kind.sigs.k8s.io/docs/user/quick-start/#installation>`_ - Kubernetes in Docker (>=0.29.0)
 * `kubectl <https://kubernetes.io/docs/tasks/tools/>`_ - Kubernetes command-line tool (>=1.32.2)
 * `helm <https://helm.sh/docs/intro/install/>`_ - Helm package manager (>=3.16.2)

docs/deployment_guide/appendix/deploy_minimal.rst

@@ -610,11 +610,11 @@ With Ingress
 
 1. **Access OSMO Service API**:
 
-   Visit https://<your-domain>/api/docs in your web browser to access the OSMO API.
+   Visit ``https://<your-domain>/api/docs`` in your web browser to access the OSMO API.
 
 2. **Access OSMO UI**:
 
-   Visit https://<your-domain> in your web browser to access the OSMO UI.
+   Visit ``https://<your-domain>`` in your web browser to access the OSMO UI.
 
 .. note::
    1. Replace ``<your-domain>`` with your domain name or use the alternative approach below

docs/deployment_guide/getting_started/create_storage/s3/index.rst

@@ -31,7 +31,7 @@ To handle who can access Datasets, the necessary AWS resources/policies must be
 Setting up the bucket
 =====================
 
-First, navigate to the `AWS S3 console <https://s3.console.aws.amazon.com/s3/home?region=us-west-2>`_
+First, navigate to the `AWS S3 console <https://console.aws.amazon.com:443/s3/home?region=us-west-2>`_
 
 Click on the ``Create Bucket`` button.
 

docs/deployment_guide/index.rst

@@ -67,7 +67,7 @@ Integrate with your existing storage infrastructure:
 
 .. seealso::
 
-   Learn more about OSMO in the `What is OSMO? <https://nvidia.github.io/OSMO/user_guide/main/index.html#what-is-osmo>`_ section of the User Guide.
+   Learn more about OSMO in the `Welcome to OSMO <https://nvidia.github.io/OSMO/user_guide/main/index.html>`_ section of the User Guide.
 
 What You'll Deploy
 ==================

docs/deployment_guide/install_backend/create_backend/cloud_setup.rst

@@ -63,7 +63,7 @@ Setup Guide
        * `Node pools <https://cloud.google.com/kubernetes-engine/docs/concepts/node-pools>`__
      - * **Backend-Operator**: n1-standard-4 (4 vCPUs, 8 GB RAM, auto-scaling: 1-3 nodes)
        * **Compute (CPU)**: n1-standard-8
-       * **Compute (GPU)**: n1-standard-4 with T4/A100, a2-highgpu-1g (A100), a3-highgpu-8g (H100) - `GPUs on Compute Engine <https://cloud.google.com/compute/docs/gpus>`__
+       * **Compute (GPU)**: n1-standard-4 with T4/A100, a2-highgpu-1g (A100), a3-highgpu-8g (H100) - `GPUs on Compute Engine <https://docs.cloud.google.com/compute/docs/gpus>`__
 
 .. note::
 

docs/deployment_guide/install_backend/create_backend/onprem_setup.rst

@@ -97,7 +97,7 @@ Kubeadm is the official tool for bootstrapping Kubernetes clusters and provides
 1. Install containerd 1.7.27+ as the container runtime
 2. Configure control plane and worker nodes per specifications above
 3. Apply appropriate node labels (``node-type=operator``, ``node-type=compute``, ``node-type=gpu``, ``node-type=jetson``)
-4. For GPU nodes (x86_64): Install `NVIDIA drivers <https://docs.nvidia.com/datacenter/tesla/tesla-installation-notes/index.html>`__ (535.216.03+), `CUDA <https://docs.nvidia.com/cuda/cuda-installation-guide-linux/index.html>`__ (12.6+), and `NVIDIA Container Toolkit <https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/latest/install-guide.html>`__
+4. For GPU nodes (x86_64): Install `NVIDIA drivers <https://docs.nvidia.com/cuda/cuda-installation-guide-linux/>`__ (535.216.03+), `CUDA <https://docs.nvidia.com/cuda/cuda-installation-guide-linux/index.html>`__ (12.6+), and `NVIDIA Container Toolkit <https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/latest/install-guide.html>`__
 5. For GPU nodes (Jetson): Install `JetPack 6.2+ <https://developer.nvidia.com/embedded/jetpack>`__ (includes CUDA and container runtime)
 6. Configure CNI plugin and verify CoreDNS is operational
 7. Configure firewall rules per `Kubernetes Ports and Protocols <https://kubernetes.io/docs/reference/networking/ports-and-protocols/>`__

docs/deployment_guide/install_backend/dependencies/dependencies.rst

@@ -34,7 +34,7 @@ Install Dependencies
 Install KAI Scheduler
 ======================
 
-OSMO uses `KAI scheduler <https://github.com/NVIDIA/kai-scheduler>`_ to run AI workflows at very large scale with `Workflow Groups <http://nvidia.github.io/OSMO/user_guide/main/tutorials/parallel_workflows/index.html#groups>`_.
+OSMO uses `KAI scheduler <https://github.com/NVIDIA/kai-scheduler>`_ to run AI workflows at very large scale with `Workflow Groups <https://nvidia.github.io/OSMO/user_guide/main/tutorials/parallel_workflows/index.html#groups>`_.
 
 For more information on the scheduler, see :ref:`scheduler`.
 

docs/deployment_guide/install_backend/observability.rst

@@ -50,7 +50,7 @@ Download the following dashboard JSON files:
 Import to Grafana
 -------------------
 
-Import the dashboards using `Grafana's Import Dashboard <https://grafana.com/docs/grafana/latest/dashboards/export-import/#import-a-dashboard>`__ documentation.
+Import the dashboards using `Grafana's Import Dashboard <https://grafana.com/docs/grafana/latest/visualizations/dashboards/build-dashboards/import-dashboards/>`__ documentation.
 
 Configure Alerts
 -----------------
@@ -61,7 +61,7 @@ Set up alerts using Grafana's `alert configuration <https://grafana.com/docs/gra
 Install Storage Metrics
 ====================================
 
-To enable usage metrics for ephemeral storage in Grafana, install the `k8s-ephemeral-storage-metrics <https://github.com/jmcgrath207/k8s-ephemeral-storage-metrics#installation>`__ plugin in your compute cluster.
+To enable usage metrics for ephemeral storage in Grafana, install the `k8s-ephemeral-storage-metrics <https://github.com/jmcgrath207/k8s-ephemeral-storage-metrics>`__ plugin in your compute cluster.
 
 Update Backend Configs
 =============================