#AWS EKS 创建k8s生产环境实例


  • 在AWS部署海外节点, 图简单使用web控制台创建VPC和k8s集群出错(k8s), 使用cli命令行工具创建成功
  • 本实例为复盘, 记录aws命令行工具创建eks, 安装efs驱动、LBS、ingress-nginx,使用ECR镜像储存等

#安装命令行工具

 
#安装aws cli
cd /tmp
curl -kL "https://awscli.amazonaws.com/awscli-exe-linux-x86_64.zip" -o "awscliv2.zip"
unzip awscliv2.zip
sudo ./aws/install
aws --version
#配置aws key
aws configure
#查看配置
aws configure list
#安装kubectl
curl -o kubectl https://s3.us-west-2.amazonaws.com/amazon-eks/1.22.6/2022-03-09/bin/linux/amd64/kubectl
chmod +x ./kubectl
mv kubectl /usr/local/bin
kubectl version --short --client
#安装eksctl
curl --silent --location "https://github.com/weaveworks/eksctl/releases/latest/download/eksctl_$(uname -s)_amd64.tar.gz" | tar xz -C /tmp
sudo mv /tmp/eksctl /usr/local/bin
eksctl version

#创建VPC网络和子网

#创建VPC网络和子网已单独发帖
aws命令行cli创建VPC网络、公有子网、私有子网、nat网关+EIP - Elvin™ - 博客园

#创建k8s集群

 
#env
k8s_name=aws-k8s
Region=ap-southeast-1 #新加坡
#获取aws账户id
OwnerId=$(aws ec2 describe-vpcs --region ${Region} |jq -r ".Vpcs[0].OwnerId")
#使用已有子网
private-subnets-id="subnet-lan-a-xxx,subnet-lan-b-xxx"
public-subnets-id="subnet-public-a-xxx,subnet-public-b-xxx"
 
# k8s cluster
eksctl create cluster \
--region ${Region} \
--name ${k8s_name} \
--version 1.22 \
--vpc-private-subnets ${private-subnets-id} \
--vpc-public-subnets ${public-subnets-id} \
--managed \
--without-nodegroup \
--dry-run
# 查看
eksctl get cluster --name ${k8s_name} --region ${Region}
# 出错或不要了,可删除
# eksctl delete cluster --name=${k8s_name}
# --dry-run 试运行,正式创建时去掉
# --without-nodegroup 不创建node节点
# --vpc-xx 添加已有网络,若不指定会自动创建
# 建议使用多个可用区网络,k8s集群创建后无法更改
# eksctl create cluster --help #查看帮助

#创建k8s计算节点组

 
#创建b区k8s节点
#k8s nodegroup test
eksctl create nodegroup \
--region ${Region} \
--cluster ${k8s_name} \
--name k8s-work-test \
--node-type m5.large \
--nodes 1 \
--nodes-min 1 \
--nodes-max 10 \
--instance-name test-node-b \
--node-ami-family Ubuntu2004 \
--node-private-networking \
--node-zones ${Region}b \
--node-security-groups sg-xxxxxxx \
--ssh-access \
--ssh-public-key aws-bastion \
--full-ecr-access \
--managed \
--dry-run
# --nodes 1 创建1个node节点, 规格 m5.large 2核8G
# --node-ami-family Ubuntu2004 操作系统Ubuntu20.04
# --node-private-networking 使用私有子网
# --node-zones 可用区
# --node-security-groups 使用已创建的安全组
# --full-ecr-access ECR镜像仓库权限,一定要
# eksctl create nodegroup --help #查看帮助
#节点扩容
eksctl scale nodegroup --region ${Region} \
--cluster ${k8s_name} --nodes=2 --name k8s-work-test
# 测试正常就可以删除, 创建配置更高的正式节点
# delete node
# eksctl delete nodegroup --cluster=${k8s_name} --name=k8s-work-test
 
#创建b区正式节点组
eksctl create nodegroup \
--region ${Region} \
--cluster ${k8s_name} \
--name k8s-work-b \
--node-type m5.4xlarge \
--nodes 2 \
--nodes-min 1 \
--nodes-max 10 \
--instance-name k8s-node-b \
--max-pods-per-node 110 \
--node-ami-family Ubuntu2004 \
--node-private-networking \
--node-zones ${Region}b \
--node-security-groups sg-xxxxxxx \
--ssh-access \
--ssh-public-key aws-bastion \
--full-ecr-access \
--external-dns-access \
--managed \
--dry-run
#规格m5.4xlarge 16核64G
#node-zones创建多区,可用于高可用

#为k8s集群创建IAM OIDC提供商

 
# IAM OIDC即 AWS Identity and Access Management (IAM) OpenID Connect (OIDC)
# 创建IMA权限角色时,需要此功能开启
#查看是否有OIDC,没有则创建
oidc_id=$(aws eks describe-cluster --name ${k8s_name} --query "cluster.identity.oidc.issuer" --output text |cut -d'/' -f 5)
if [ $(aws iam list-open-id-connect-providers | grep $oidc_id | wc -l ) -eq 0 ]; then
eksctl utils associate-iam-oidc-provider --cluster ${k8s_name} --approve
fi

#eks安装efs csi驱动

  • k8s使用AWS EFS储存时用到csi驱动
  • efs可使用nfs协议挂载,但k8s节点默认没安装nfs客户端
 
#创建IAM policy和角色
curl -o iam-policy-efs.json \
https://raw.githubusercontent.com/kubernetes-sigs/aws-efs-csi-driver/master/docs/iam-policy-example.json
aws iam create-policy \
--policy-name EKS_EFS_CSI_Driver_Policy \
--policy-document file://iam-policy-efs.json
#创建权限
eksctl create iamserviceaccount \
--cluster ${k8s_name} \
--namespace kube-system \
--name efs-csi-controller-sa \
--attach-policy-arn arn:aws:iam::${OwnerId}:policy/EKS_EFS_CSI_Driver_Policy \
--approve \
--region ${Region}
# 更新kubeconfig ~/.kube/config
aws eks update-kubeconfig --region ${Region} --name ${k8s_name}
#下载yaml文件
kubectl kustomize \
"github.com/kubernetes-sigs/aws-efs-csi-driver/deploy/kubernetes/overlays/stable/?ref=release-1.4" > aws-eks-efs-csi.1.4.yaml
# vim aws-eks-efs-csi.1.4.yaml
# 手动删除如下部分
apiVersion: v1
kind: ServiceAccount
metadata:
labels:
app.kubernetes.io/name: aws-efs-csi-driver
name: efs-csi-controller-sa
namespace: kube-system
---
#部署efs csi
kubectl apply -f aws-eks-efs-csi.1.4.yaml

#使用efs创建pvc实例

 
apiVersion: v1
kind: PersistentVolume
metadata:
name: aws-efs-test
spec:
capacity:
storage: 2000Gi
accessModes:
- ReadWriteMany
persistentVolumeReclaimPolicy: Retain
csi:
driver: efs.csi.aws.com
volumeHandle: fs-xxx:/data
---
apiVersion: v1
kind: PersistentVolumeClaim
metadata:
name: aws-efs-test
spec:
accessModes:
- ReadWriteMany
resources:
requests:
storage: 2000Gi
# fs-xxx 为efs实例id,需要单独创建
# 创建efs后需添加子网和安全组,否则无法访问

#安装AWS LB Controller

  • AWS LoadBalancer默认使用Classic Load Balancer模式
  • 使用NLB、ALB模式的负载均衡器,和绑定EIP(绑定固定IP),必须安装LB controller
 
#创建IAM角色
curl -o iam_lbs_v2.4.2.json \
https://raw.githubusercontent.com/kubernetes-sigs/aws-load-balancer-controller/v2.4.2/docs/install/iam_policy.json
aws iam create-policy \
--policy-name iam_lbs_v2.4.2 \
--policy-document file://iam_lbs_v2.4.2.json
eksctl create iamserviceaccount \
--cluster=${k8s_name} \
--namespace=kube-system \
--name=aws-load-balancer-controller \
--role-name "AmazonEKSLoadBalancerControllerRole" \
--attach-policy-arn=arn:aws:iam::${OwnerId}:policy/iam_lbs_v2.4.2 \
--approve
#安装cert-manager
kubectl apply \
--validate=false \
-f https://github.com/jetstack/cert-manager/releases/download/v1.5.4/cert-manager.yaml
#下载yaml
curl -Lo aws-load-balancer-controller_2.4.2.yaml \
https://github.com/kubernetes-sigs/aws-load-balancer-controller/releases/download/v2.4.2/v2_4_2_full.yaml
#更改k8s集群名称
sed -i.bak -e "s|your-cluster-name|${k8s_name}|" aws-load-balancer-controller_2.4.2.yaml
#手动删除如下部分
apiVersion: v1
kind: ServiceAccount
metadata:
labels:
app.kubernetes.io/component: controller
app.kubernetes.io/name: aws-load-balancer-controller
name: aws-load-balancer-controller
namespace: kube-system
---
#部署lbs
kubectl apply -f aws-load-balancer-controller_2.4.2.yaml
#查看
kubectl get deployment -n kube-system aws-load-balancer-controller

#安装ingress-nginx-controller

 
#下载yaml
curl -o aws-ingress-nginx.nlb.v1.3.0.yml \
https://raw.githubusercontent.com/kubernetes/ingress-nginx/controller-v1.3.0/deploy/static/provider/aws/deploy.yaml
#增加spec.ipFamilyPolicy: SingleStack

#修改LoadBalancer部分的Service如下

 
---
apiVersion: v1
kind: Service
metadata:
annotations:
#负载均衡器自定义名称
service.beta.kubernetes.io/aws-load-balancer-name: k8s-ingress-slb
#负载均衡 NLB模式
service.beta.kubernetes.io/aws-load-balancer-type: "external"
service.beta.kubernetes.io/aws-load-balancer-nlb-target-type: "ip"
#使用EIP,互联网模式
service.beta.kubernetes.io/aws-load-balancer-scheme: "internet-facing"
#public子网
service.beta.kubernetes.io/aws-load-balancer-subnets: subnet-axxx, subnet-bxxx
#弹性IP地址
service.beta.kubernetes.io/aws-load-balancer-eip-allocations: eipalloc-axxx, eipalloc-bxxx
#获取客户端真事IP
service.beta.kubernetes.io/aws-load-balancer-target-group-attributes: preserve_client_ip.enabled=true
labels:
app.kubernetes.io/component: controller
app.kubernetes.io/instance: ingress-nginx
app.kubernetes.io/name: ingress-nginx
app.kubernetes.io/part-of: ingress-nginx
app.kubernetes.io/version: 1.3.0
name: ingress-nginx-controller
namespace: ingress-nginx
spec:
type: LoadBalancer
# externalTrafficPolicy: Local
ipFamilyPolicy: SingleStack
ipFamilies:
- IPv4
ports:
- appProtocol: http
name: http
port: 80
protocol: TCP
targetPort: http
- appProtocol: https
name: https
port: 443
protocol: TCP
targetPort: https
selector:
app.kubernetes.io/component: controller
app.kubernetes.io/instance: ingress-nginx
app.kubernetes.io/name: ingress-nginx
 
#部署
kubectl apply -f aws-ingress-nginx.nlb.v1.3.0.yml
#查看,获得得到EXTERNAL-IP地址
kubectl get svc ingress-nginx-controller -n ingress-nginx
#ping测试EXTERNAL-IP地址ip是否为自己的EIP地址
ping k8s-ingress-slb-xxx.elb.${Region}.amazonaws.com
#访问测试
curl -I k8s-ingress-slb-xxx.elb.${Region}.amazonaws.com

#使用私有镜像仓库,并部署服务测试

 
#创建存储库nginx
aws ecr create-repository \
--repository-name nginx \
--region $Region
#登录储存库(缓存的登录凭证有效期12小时)
aws ecr get-login-password --region $Region \
| docker login --username AWS --password-stdin ${OwnerId}.dkr.ecr.${Region}.amazonaws.com
#下载公共镜像, 改tag为私有储存库地址
docker pull public.ecr.aws/nginx/nginx:alpine
docker tag public.ecr.aws/nginx/nginx:alpine \
${OwnerId}.dkr.ecr.${Region}.amazonaws.com/nginx:alpine
#push镜像到新建的储存库
docker push ${OwnerId}.dkr.ecr.${Region}.amazonaws.com/nginx:alpine
#deploy test
kubectl create deployment nginx --port=80 \
--image=${OwnerId}.dkr.ecr.${Region}.amazonaws.com/nginx:alpine
#查看
kubectl get pod
#生命周期策略示例,保持5个镜像版本(tag)
cat >aws-ecr-policy.json <<EOF
{
"rules": [
{
"rulePriority": 1,
"description": "Keep only 3 image",
"selection": {
"tagStatus": "any",
"countType": "imageCountMoreThan",
"countNumber": 3
},
"action": {
"type": "expire"
}
}
]
}
EOF
#创建策略
aws ecr put-lifecycle-policy --region $Region \
--repository-name nginx \
--lifecycle-policy-text file://aws-ecr-policy.json
#删除清理pod
kubectl delete deploy/nginx
#删除存储库
aws ecr delete-repository \
--region $Region --force \
--repository-name nginx
  • k8s有pull私有镜像仓库权限,是因为创建参数--full-ecr-access
  • AWS ECR镜像储存服务不支持目录,只能分别给每个镜像创建储存库
  • aws ecr get-login-password生成的凭证有效期12小时,可使用定时任务每天登录2次解决
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