[DOCS-1686] Move System Metrics reference out of Models app settings (#1505)

[DOCS-1686] Move System Metrics reference out of Models app settings

- Move page, change parent
- Update links
- Add redirects
- Adjust links from a few Japanese and Korean pages to the system
metrics page from relrefs to Markdown links so that they continue to
work until the Japanese and Korean content catches up.

Author: mdlinville

content/en/guides/core/automations/automation-events.md

@@ -74,7 +74,7 @@ Because run status is a property of the entire run, you can create a run status
 Currently available only in [W&B Multi-tenant Cloud]({{< relref "/guides/hosting/#wb-multi-tenant-cloud" >}}).
 {{% /alert %}}
 
-Trigger a workflow based on a logged value for a metric, either a metric in a run's history or a [system metric]({{< relref "/guides/models/app/settings-page/system-metrics.md" >}}) such as `cpu`, which tracks the percentage of CPU utilization. W&B logs system metrics automatically every 15 seconds.
+Trigger a workflow based on a logged value for a metric, either a metric in a run's history or a [system metric]({{< relref "/ref/system-metrics.md" >}}) such as `cpu`, which tracks the percentage of CPU utilization. W&B logs system metrics automatically every 15 seconds.
 
 You can create a run metrics automation from the project's **Automations** tab or directly from a line plot panel in a workspace.
 

content/en/guides/integrations/lightning.md

@@ -644,7 +644,7 @@ The core integration is based on the [Lightning `loggers` API](https://pytorch-l
 
 ### What does the integration log without any additional code?
 
-We'll save your model checkpoints to W&B, where you can view them or download them for use in future runs. We'll also capture [system metrics]({{< relref "/guides/models/app/settings-page/system-metrics.md" >}}), like GPU usage and network I/O, environment information, like hardware and OS information, [code state]({{< relref "/guides/models/app/features/panels/code.md" >}}) (including git commit and diff patch, notebook contents and session history), and anything printed to the standard out.
+We'll save your model checkpoints to W&B, where you can view them or download them for use in future runs. We'll also capture [system metrics]({{< relref "/ref/system-metrics.md" >}}), like GPU usage and network I/O, environment information, like hardware and OS information, [code state]({{< relref "/guides/models/app/features/panels/code.md" >}}) (including git commit and diff patch, notebook contents and session history), and anything printed to the standard out.
 
 ### What if I need to use `wandb.run` in my training setup?
 

content/en/ref/_index.md

@@ -47,14 +47,25 @@ no_list: true
     </a>
     <p className="card-content">A beta JavaScript/TypeScript client to track metrics from your Node server.</p>
   {{< /card >}}
+  {{< card >}}
+    <a href="./system-metrics/">
+      <h2 className="card-title">System Metrics</h2>
+    </a>
+    <p className="card-content">Metrics automatically logged by W&B, including CPU, memory, disk, network, and GPU usage.</p>
+  {{< /card >}}
+{{< /cardpane >}}
+
+{{< cardpane >}}
   {{< card >}}
     <a href="./query-panel/">
       <h2 className="card-title">Query Panels</h2>
     </a>
     <p className="card-content"> A beta query language to select and aggregate data.</p>
   {{< /card >}}
+  {{< card >}}
+    <a href="https://weave-docs.wandb.ai/">
+    <h2 className="card-title">W&B Weave</h2>
+  </a>
+    <p className="card-content">Looking for Weave API? See the <a href="https://weave-docs.wandb.ai/">W&B Weave Docs</a>.</p>
+  {{< /card >}}
 {{< /cardpane >}}
-
-{{% alert %}}
-Looking for Weave API? See the [W&B Weave Docs](https://weave-docs.wandb.ai/).
-{{% /alert %}}

content/en/guides/models/app/settings-page/system-metrics.md renamed to content/en/ref/system-metrics.md

@@ -1,11 +1,11 @@
 ---
 description: Metrics automatically logged by W&B.
 menu:
-  default:
+  reference:
     identifier: system-metrics
-    parent: settings
+    parent: reference
 title: System metrics
-weight: 70
+weight: 50
 ---
 
 This page provides detailed information about the system metrics that are tracked by the W&B SDK.
@@ -147,35 +147,35 @@ W&B assigns a `gpu.{gpu_index}.powerPercent` tag to this metric.
 ### GPU SM Clock Speed 
 Represents the clock speed of the Streaming Multiprocessor (SM) on the GPU in MHz. This metric is indicative of the processing speed within the GPU cores responsible for computation tasks.
 
-W&B assigns a `gpu.{gpu_index}.smClock` tag to this metric.
+W&B assigns a `gpu.{gpu_index}.smClock` tag to this metric.
 
 ### GPU Memory Clock Speed
 Represents the clock speed of the GPU memory in MHz, which influences the rate of data transfer between the GPU memory and processing cores.
 
-W&B assigns a `gpu.{gpu_index}.memoryClock` tag to this metric.
+W&B assigns a `gpu.{gpu_index}.memoryClock` tag to this metric.
 
 ### GPU Graphics Clock Speed 
 
 Represents the base clock speed for graphics rendering operations on the GPU, expressed in MHz. This metric often reflects performance during visualization or rendering tasks.
 
-W&B assigns a `gpu.{gpu_index}.graphicsClock` tag to this metric.
+W&B assigns a `gpu.{gpu_index}.graphicsClock` tag to this metric.
 
 ### GPU Corrected Memory Errors
 
 Tracks the count of memory errors on the GPU that W&B automatically corrects by error-checking protocols, indicating recoverable hardware issues.
 
-W&B assigns a `gpu.{gpu_index}.correctedMemoryErrors` tag to this metric.
+W&B assigns a `gpu.{gpu_index}.correctedMemoryErrors` tag to this metric.
 
 ### GPU Uncorrected Memory Errors
 Tracks the count of memory errors on the GPU that W&B uncorrected, indicating non-recoverable errors which can impact processing reliability.
 
-W&B assigns a `gpu.{gpu_index}.unCorrectedMemoryErrors` tag to this metric.
+W&B assigns a `gpu.{gpu_index}.unCorrectedMemoryErrors` tag to this metric.
 
 ### GPU Encoder Utilization
 
 Represents the percentage utilization of the GPU's video encoder, indicating its load when encoding tasks (for example, video rendering) are running.
 
-W&B assigns a `gpu.{gpu_index}.encoderUtilization` tag to this metric.
+W&B assigns a `gpu.{gpu_index}.encoderUtilization` tag to this metric.
 
 <!-- New section -->
 ## AMD GPU

content/en/support/kb-articles/how_can_i_disable_logging_of_system_metrics_to_wb.md

@@ -8,7 +8,7 @@ support:
   - runs
 ---
 
-To disable logging of [system metrics]({{< relref "/guides/models/app/settings-page/system-metrics.md" >}}), set `_disable_stats` to `True`:
+To disable logging of [system metrics]({{< relref "/ref/system-metrics.md" >}}), set `_disable_stats` to `True`:
 
 ```python
 wandb.init(settings=wandb.Settings(x_disable_stats=True))

content/en/support/kb-articles/how_can_i_reduce_how_frequently_to_log_system_metrics.md

@@ -8,7 +8,7 @@ support:
   - runs
 ---
 
-To configure the frequency to log [system metrics]({{< relref "/guides/models/app/settings-page/system-metrics.md" >}}), set `_stats_sampling_interval` to a number of seconds, expressed as a float. Default: `10.0`.
+To configure the frequency to log [system metrics]({{< relref "/ref/system-metrics.md" >}}), set `_stats_sampling_interval` to a number of seconds, expressed as a float. Default: `10.0`.
 
 ```python
 wandb.init(settings=wandb.Settings(x_stats_sampling_interval=30.0))

content/ja/guides/integrations/lightning.md

@@ -642,7 +642,7 @@ Colab のビデオチュートリアルに従うことができます。[こち
 
 ### 追加のコードなしでインテグレーションがログする内容は？
 
-モデルのチェックポイントを W&B に保存し、今後のRunsで使用するために閲覧またはダウンロードできるようにします。また、GPU使用量やネットワークI/Oなどの[システムメトリクス]({{< relref path="/guides/models/app/settings-page/system-metrics.md" lang="ja" >}})、ハードウェア情報やOS情報などの環境情報、gitコミットやdiffパッチ、ノートブックコンテンツやセッション履歴を含む[コードの状態]({{< relref path="/guides/models/app/features/panels/code.md" lang="ja" >}})、標準出力に印刷されるものをキャプチャします。
+モデルのチェックポイントを W&B に保存し、今後のRunsで使用するために閲覧またはダウンロードできるようにします。また、GPU使用量やネットワークI/Oなどの[システムメトリクス](/ref/system-metrics)、ハードウェア情報やOS情報などの環境情報、gitコミットやdiffパッチ、ノートブックコンテンツやセッション履歴を含む[コードの状態]({{< relref path="/guides/models/app/features/panels/code.md" lang="ja" >}})、標準出力に印刷されるものをキャプチャします。
 
 ### トレーニングセットアップで `wandb.run` を使用する必要がある場合はどうすればいいですか？
 

content/ja/support/kb-articles/how_can_i_disable_logging_of_system_metrics_to_wb.md

@@ -10,7 +10,7 @@ toc_hide: true
 type: docs
 url: /ja/support/:filename
 ---
-[システムメトリクス]({{< relref path="/guides/models/app/settings-page/system-metrics.md" lang="ja" >}})のログを無効にするには、`_disable_stats` を `True` に設定します:
+[システムメトリクス](/ref/system-metrics)のログを無効にするには、`_disable_stats` を `True` に設定します:
 
 ```python
 wandb.init(settings=wandb.Settings(x_disable_stats=True))

content/ja/support/kb-articles/how_can_i_reduce_how_frequently_to_log_system_metrics.md

@@ -11,7 +11,7 @@ toc_hide: true
 type: docs
 url: /ja/support/:filename
 ---
-頻度を設定して[システムメトリクス]({{< relref path="/guides/models/app/settings-page/system-metrics.md" lang="ja" >}})をログするには、`_stats_sampling_interval` を秒数で設定します。これは浮動小数点として表現されます。デフォルトは `10.0` です。
+頻度を設定して[システムメトリクス](/ref/system-metrics)をログするには、`_stats_sampling_interval` を秒数で設定します。これは浮動小数点として表現されます。デフォルトは `10.0` です。
 
 ```python
 wandb.init(settings=wandb.Settings(x_stats_sampling_interval=30.0))

content/ko/guides/integrations/lightning.md

@@ -644,7 +644,7 @@ Colab [여기](https://wandb.me/lit-colab)에서 비디오 튜토리얼을 따
 
 ### 추가 코드 없이 통합 로깅은 무엇입니까?
 
-모델 체크포인트를 W&B에 저장하여 볼 수 있거나 향후 run에서 사용하기 위해 다운로드할 수 있습니다. 또한 GPU 사용량 및 네트워크 I/O와 같은 [시스템 메트릭]({{< relref path="/guides/models/app/settings-page/system-metrics.md" lang="ko" >}}), 하드웨어 및 OS 정보와 같은 환경 정보, [코드 상태]({{< relref path="/guides/models/app/features/panels/code.md" lang="ko" >}}) (git 커밋 및 차이 패치, 노트북 콘텐츠 및 세션 기록 포함) 및 표준 출력에 인쇄된 모든 항목을 캡처합니다.
+모델 체크포인트를 W&B에 저장하여 볼 수 있거나 향후 run에서 사용하기 위해 다운로드할 수 있습니다. 또한 GPU 사용량 및 네트워크 I/O와 같은 [시스템 메트릭](/ref/system-metrics), 하드웨어 및 OS 정보와 같은 환경 정보, [코드 상태]({{< relref path="/guides/models/app/features/panels/code.md" lang="ko" >}}) (git 커밋 및 차이 패치, 노트북 콘텐츠 및 세션 기록 포함) 및 표준 출력에 인쇄된 모든 항목을 캡처합니다.
 
 ### 트레이닝 설정에서 `wandb.run`을 사용해야 하는 경우는 어떻게 해야 합니까?