# 安装时需要确保 K8S 集群正在运行,并且挂载了 GlusterFS 集群文件系统
# 相关文档: K8S 集群安装配置.md、GlusterFS 集群安装配置.md
# 在各个主机检查 GlusterFS 集群文件系统
df -h /mnt/gluster-gv0
# 正常输出
Filesystem Size Used Avail Use% Mounted on
gfs:/gv0 48T 835G 48T 2% /mnt/gluster-gv0
以下操作均在 K8S 第一个节点,即 Master 节点 192.168.1.21 执行
# 准备 Django 应用,以 Winter_django 为例,复制到 /mnt/gluster-gv0/k8s/django 目录下
# 如果访问 GitHub.com 需要代理在此设置
# export http_proxy=http://192.168.1.109:3128/
# export https_proxy=http://192.168.1.109:3128/
(
if [ ! -d ~/Winter_django ]; then cd ~/ ; git clone https://github.com/AndyInAi/Winter_django.git; fi
mkdir -p /mnt/gluster-gv0/k8s/django
cp -f -r ~/Winter_django /mnt/gluster-gv0/k8s/django/
)
# 生成启动脚本
(
mkdir -p /mnt/gluster-gv0/k8s/django
echo '#!/bin/bash
echo "
deb http://mirrors.tuna.tsinghua.edu.cn/ubuntu/ jammy main restricted universe multiverse
deb http://mirrors.tuna.tsinghua.edu.cn/ubuntu/ jammy-updates main restricted universe multiverse
deb http://mirrors.tuna.tsinghua.edu.cn/ubuntu/ jammy-backports main restricted universe multiverse
deb http://mirrors.tuna.tsinghua.edu.cn/ubuntu/ jammy-security main restricted universe multiverse
" > /etc/apt/sources.list
export DEBIAN_FRONTEND=noninteractive
apt update -y
python3 -V > /dev/null 2>&1 || apt install -y python3
pip3 -V > /dev/null 2>&1 || apt install -y python3-pip
pip3 config set global.index-url https://pypi.tuna.tsinghua.edu.cn/simple
python3 -m django --version > /dev/null 2>&1 || pip3 install django tzdata
cp -f -r /mnt/django/Winter_django ~/
cd ~/Winter_django
python3 manage.py runserver 0.0.0.0:8080
# sleep 88888
'> /mnt/gluster-gv0/k8s/django/start
chmod +x /mnt/gluster-gv0/k8s/django/start
)
# 副本:8 个
# 端口:30006
(
mkdir -p /mnt/gluster-gv0/k8s/django;
kubectl get namespace winter > /dev/null 2>&1 || kubectl create namespace winter;
echo '
apiVersion: apps/v1
kind: Deployment
metadata:
labels:
app: django
name: django
namespace: winter
spec:
replicas: 8
selector:
matchLabels:
app: django
template:
metadata:
labels:
app: django
spec:
volumes:
- name: k8s
hostPath:
path: /mnt/gluster-gv0/k8s
containers:
- image: ubuntu
imagePullPolicy: IfNotPresent
name: django
volumeMounts:
- name: k8s
mountPath: /mnt
command: ["/mnt/django/start"]
' > ~/django.yml;
echo '
apiVersion: v1
kind: Service
metadata:
name: django
namespace: winter
spec:
selector:
app: django
type: LoadBalancer
ports:
- nodePort: 30006
port: 8080
protocol: TCP
targetPort: 8080
sessionAffinity: ClientIP
' > django-port.yml;
sed -i 's/\t/ /g' ~/django.yml;
sed -i 's/\t/ /g' ~/django-port.yml;
kubectl apply -f ~/django.yml;
kubectl apply -f ~/django-port.yml;
)
kubectl get pod,svc,node -n winter -o wide
curl http://192.168.1.22:30006/
curl http://192.168.1.23:30006/
curl http://192.168.1.24:30006/
# 使用浏览器打开
http://192.168.1.24:30006/
http://192.168.1.23:30006/
http://192.168.1.22:30006/
# 静态扩缩,指定 pod 数量,如 12
kubectl scale --replicas=12 -f ~/django.yml
# 动态扩缩,指定最小和最大 pod 数量
kubectl autoscale --max=16 --min=4 -f ~/django.yml