Merge pull request #274114 from pauldotyu/main

Increase resource limits for ai-service in AKS+OpenAI docs

Author: prmerger-automator[bot]

articles/aks/open-ai-quickstart.md

@@ -229,8 +229,8 @@ Now that the application is deployed, you can deploy the Python-based microservi
                 cpu: 20m
                 memory: 50Mi
               limits:
-                cpu: 30m
-                memory: 85Mi
+                cpu: 50m
+                memory: 128Mi
     ---
     apiVersion: v1
     kind: Service
@@ -284,7 +284,7 @@ Now that the application is deployed, you can deploy the Python-based microservi
           nodeSelector:
             "kubernetes.io/os": linux
           containers:
-          - name: order-service
+          - name: ai-service
             image: ghcr.io/azure-samples/aks-store-demo/ai-service:latest
             ports:
             - containerPort: 5001
@@ -298,10 +298,10 @@ Now that the application is deployed, you can deploy the Python-based microservi
             resources:
               requests:
                 cpu: 20m
-                memory: 46Mi
+                memory: 50Mi
               limits:
-                cpu: 30m
-                memory: 65Mi
+                cpu: 50m
+                memory: 128Mi
     ---
     apiVersion: v1
     kind: Service

articles/aks/open-ai-secure-access-quickstart.md

@@ -227,8 +227,8 @@ To use Microsoft Entra Workload ID on AKS, you need to make a few changes to the
                 cpu: 20m
                 memory: 50Mi
               limits:
-                cpu: 30m
-                memory: 85Mi
+                cpu: 50m
+                memory: 128Mi
     EOF
     ```