fix(doc): Use Managed NodeGroup for EKS Cluster (#4609)

manifests/kustomize/env/aws/README.md

@@ -1,47 +1,19 @@
 # Sample installation
 
-1. Create an EKS cluster and setup kubectl context
+1. Create an EKS cluster
 
-Using configuration file to simplify EKS cluster creation process:
-```
-apiVersion: eksctl.io/v1alpha5
-kind: ClusterConfig
-metadata:
-  name: kfworkshop
-  region: us-west-2
-  version: '1.17'
-# If your region has multiple availability zones, you can specify 3 of them.
-availabilityZones: ["us-west-2b", "us-west-2c", "us-west-2d"]
-
-# NodeGroup holds all configuration attributes that are specific to a nodegroup
-# You can have several node group in your cluster.
-nodeGroups:
-  - name: cpu-nodegroup
-    instanceType: m5.xlarge
-    desiredCapacity: 2
-    minSize: 0
-    maxSize: 4
-    volumeSize: 50
-    # ssh:
-    #   allow: true
-    #   publicKeyPath: '~/.ssh/id_rsa.pub'
-
-  # Example of GPU node group
-  - name: Tesla-V100
-    instanceType: p3.8xlarge
-    # Make sure the availability zone here is one of cluster availability zones.
-    availabilityZones: ["us-west-2b"]
-    desiredCapacity: 0
-    minSize: 0
-    maxSize: 4
-    volumeSize: 50
-    # ssh:
-    #   allow: true
-    #   publicKeyPath: '~/.ssh/id_rsa.pub'
-```
 Run this command to create EKS cluster
 ```
-eksctl create cluster -f cluster.yaml
+eksctl create cluster \
+--name AWS-KFP \
+--version 1.17 \
+--region us-west-2 \
+--nodegroup-name linux-nodes \
+--node-type m5.xlarge \
+--nodes 2 \
+--nodes-min 1 \
+--nodes-max 4 \
+--managed
 ```
 
 2. Prepare S3
@@ -67,14 +39,16 @@ Follow this [doc](https://www.kubeflow.org/docs/aws/rds/#deploy-amazon-rds-mysql
 
 ```
 kubectl apply -k ../../cluster-scoped-resources
+# If upper one action got failed, e.x. you used wrong value, try delete, fix and apply again
+# kubectl delete -k ../../cluster-scoped-resources
 
 kubectl wait crd/applications.app.k8s.io --for condition=established --timeout=60s
 
 kubectl apply -k ./
 # If upper one action got failed, e.x. you used wrong value, try delete, fix and apply again
 # kubectl delete -k ./
 
-kubectl wait applications/mypipeline -n kubeflow --for condition=Ready --timeout=1800s
+kubectl wait applications/pipeline -n kubeflow --for condition=Ready --timeout=1800s
 
 kubectl port-forward -n kubeflow svc/ml-pipeline-ui 8080:80
 ```