Update tutorials: add shared nginx-configmap, remove ARM vs Intel config explanation

Author: geremyCohen

content/learning-paths/servers-and-cloud-computing/multiarch_nginx_on_aks/deploy-arm.md

@@ -10,24 +10,8 @@ layout: learningpathall
 
 In this section, you'll add nginx on ARM nodes to your existing cluster, completing your multi-architecture Intel/ARM environment for comprehensive performance comparison.
 
-### A quick note on Arm vs Intel nginx configurations
-
-The only difference between the Arm and Intel nginx configs is the presence of these two lines in the Arm config:
-
-```output
-worker_processes 2
-worker_cpu_affinity 01 10
-```
-
-Why are they there?  ARM's physical cores operate most efficiently when each has a dedicated worker thread with no interruptions. Intel's hyperthreaded cores work best when threads can flexibly be assigned across logical cores.  
-
-Nginx on Arm performs optimally when these values are explicitly set.  Intel performs best when these two values are left at *auto*, which is the default in the Intel-version of the nginx configuration.
-
-## Continuing with Arm K8s Configuration
-
 When applied, the **arm_nginx.yaml** file creates the following K8s objects:
-   - **ConfigMap** (`nginx-arm-config`) - Contains performance-optimized nginx configuration with ARM-specific tuning
-   - **Deployment** (`nginx-arm-deployment`) - Pulls the multi-architecture nginx image from DockerHub, launches a pod on the ARM node, and mounts the ConfigMap as `/etc/nginx/nginx.conf`
+   - **Deployment** (`nginx-arm-deployment`) - Pulls the multi-architecture nginx image from DockerHub, launches a pod on the ARM node, and mounts the shared ConfigMap as `/etc/nginx/nginx.conf`
    - **Service** (`nginx-arm-svc`) - Load balancer targeting pods with both `app: nginx-multiarch` and `arch: arm` labels
 
 Copy and paste the following commands into a terminal to download and apply the ARM deployment and service:

content/learning-paths/servers-and-cloud-computing/multiarch_nginx_on_aks/deploy-intel.md

@@ -10,22 +10,26 @@ layout: learningpathall
 
 In this section, you'll add a new namespace, deployment, and service for nginx on Intel. The end result will be a K8s cluster running nginx accessible via the Internet through a load balancer. 
 
-To better understand the individual components, the configuration is split into two files:
+To better understand the individual components, the configuration is split into three files:
 
 1. **namespace.yaml** - Creates a new namespace called `nginx`, which contains all your K8s nginx objects
 
-2. **intel_nginx.yaml** - Creates the following K8s objects:
-   - **ConfigMap** (`nginx-intel-config`) - Contains performance-optimized nginx configuration
-   - **Deployment** (`nginx-intel-deployment`) - Pulls a multi-architecture [nginx image](https://hub.docker.com/_/nginx) from DockerHub, launches a pod on the Intel node, and mounts the ConfigMap as `/etc/nginx/nginx.conf`
+2. **nginx-configmap.yaml** - Creates a shared ConfigMap (`nginx-config`) containing performance-optimized nginx configuration used by both Intel and ARM deployments
+
+3. **intel_nginx.yaml** - Creates the following K8s objects:
+   - **Deployment** (`nginx-intel-deployment`) - Pulls a multi-architecture [nginx image](https://hub.docker.com/_/nginx) from DockerHub, launches a pod on the Intel node, and mounts the shared ConfigMap as `/etc/nginx/nginx.conf`
    - **Service** (`nginx-intel-svc`) - Load balancer targeting pods with both `app: nginx-multiarch` and `arch: intel` labels
 
 
-The following commands download, create, and apply the namespace and Intel nginx deployment and service configuration:
+The following commands download, create, and apply the namespace, ConfigMap, and Intel nginx deployment and service configuration:
 
 ```bash
 curl -o namespace.yaml https://raw.githubusercontent.com/geremyCohen/nginxOnAKS/refs/heads/main/namespace.yaml
 kubectl apply -f namespace.yaml
 
+curl -o nginx-configmap.yaml https://raw.githubusercontent.com/geremyCohen/nginxOnAKS/refs/heads/main/nginx-configmap.yaml
+kubectl apply -f nginx-configmap.yaml
+
 curl -o intel_nginx.yaml https://raw.githubusercontent.com/geremyCohen/nginxOnAKS/refs/heads/main/intel_nginx.yaml
 kubectl apply -f intel_nginx.yaml
 
@@ -35,7 +39,7 @@ You will see output similar to:
 
 ```output
 namespace/nginx created
-configmap/nginx-intel-config created
+configmap/nginx-config created
 deployment.apps/nginx-intel-deployment created
 service/nginx-intel-svc created
 ```