Merge pull request #375 from jhajduk-microsoft/main

adding AMLFS alerting

docs/content/patterns/artificial intelligence/Use Cases/index.md

@@ -0,0 +1,7 @@
+# Overview
+
+There are numerous ways to implement AI solution on Azure, and each comes with its own monitoring solution. Monitoring AI solutions involves a combination of the infra or paas resources, along with monitoring any utilization metrics that can be exposed through the platform or other tooling. This page will summarize the recommended monitoring solutions for different scenarios.
+
+## AI on Infrastructure (BYOM)
+
+Running AI workloads on Azure infrastructure involves monitoring each of the components of the solution, including virtual machines, storage, and networking. Refer to the defined metrics in [HPC](../../specialized/hpc/Alerting-and-Monitoring.md). For monitoring the GPU/CPU metrics, use [Moneo](https://github.com/Azure/Moneo)

docs/content/patterns/artificial intelligence/index.md

@@ -0,0 +1,4 @@
+---
+title: Artificial Intelligence
+geekdocCollapseSection: true
+---

docs/content/patterns/specialized/hpc/_index.md

@@ -11,14 +11,10 @@ High Performance Compute supports a variety of workloads. Seismic modeling, flui
 * Azure Batch Service
 * Azure NetApp Files
 * Azure Blob Storage
-* Azure Managed Lustre Filesystem - Coming Soon!
+* Azure Managed Lustre Filesystem
 
 Please note that an HPC Landing Zone is built on top of the best practices of the Azure Landing Zone. The approach for broader monitoring and alerting in the context of the Azure Landing Zone can be found [here](https://azure.github.io/azure-monitor-baseline-alerts/patterns/alz/Monitoring-and-Alerting/).
 
-## Azure High Performance Computing on Demand
+## Azure CycleCloud Workspace for Slurm
 
-[Azure High Performance Computing on Demand (Az-HOP)](https://learn.microsoft.com/azure/cloud-adoption-framework/scenarios/azure-hpc/azure-hpc-landing-zone-accelerator) is our HPC Landing Zone accelerator. It provides Grafana Dashboards to monitor you cluster. It uses [Azure CycleCloud](https://learn.microsoft.com/azure/cyclecloud/overview?view=cyclecloud-8) as a scheduler.
-
-## GPU Monitoring
-
-We are working on explicit GPU metrics to monitor to for HPC/AI workloads. Until then, Azure HPC Ubuntu VMs come with [Moneo](https://github.com/Azure/Moneo)
+[Azure CycleCloud Workspace for Slurm](https://learn.microsoft.com/azure/cyclecloud/overview-ccws?view=cyclecloud-8) is our HPC Landing Zone accelerator.

services/NetApp/netAppAccounts/alerts.yaml

@@ -6,6 +6,7 @@
   tags:
   - auto-generated
   - agc-19726
+  - hpc
   properties:
     metricName: VolumeConsumedSizePercentage
     metricNamespace: Microsoft.NetApp/netAppAccounts/capacityPools/volumes
@@ -25,6 +26,7 @@
   tags:
   - auto-generated
   - agc-1914
+  - hpc
   properties:
     metricName: VolumeLogicalSize
     metricNamespace: Microsoft.NetApp/netAppAccounts/capacityPools/volumes
@@ -87,6 +89,7 @@
   tags:
   - auto-generated
   - agc-374
+  - hpc
   properties:
     metricName: AverageReadLatency
     metricNamespace: Microsoft.NetApp/netAppAccounts/capacityPools/volumes
@@ -107,6 +110,7 @@
   tags:
   - auto-generated
   - agc-305
+  - hpc
   properties:
     metricName: CbsVolumeOperationComplete
     metricNamespace: Microsoft.NetApp/netAppAccounts/capacityPools/volumes
@@ -126,6 +130,7 @@
   tags:
   - auto-generated
   - agc-301
+  - hpc
   properties:
     metricName: VolumeAllocatedSize
     metricNamespace: Microsoft.NetApp/netAppAccounts/capacityPools/volumes

services/StorageCache/AmlFilesystems/_index.md

@@ -1,5 +1,7 @@
 ---
 title: amlFilesystems
 geekdocCollapseSection: true
-geekdocHidden: true
+geekdocHidden: false
 ---
+
+{{< alertList name="alertList" >}}