k8s记录-kubeam方式部署k8s
参考：https://blog.csdn.net/networken/article/details/84991940
# k8s工具部署方案
# 1.集群规划
| **服务器** | |
| ------------ | ---------------------------------------- |
| **数量** | >1(根据实际提供的服务器分配模块) |
| **配置** | 16 core /32 memory / 300GB硬盘/50M带宽 |
| **操作系统** | CentOS linux 7.2 master节点需要外网环境 |
| **文件系统** | 300G硬盘安装在/ data目录下 |
| **其他条件** | master节点必须具备外网环境 |
| 节点名称 | 主机名 | IP地址 | 操作系统 |
| -------- | ------------- | ----------- | ---------- |
| master | centos01 | 192.168.0.1 | CentOS 7.2 |
| node1 | centos02 | 192.168.0.2 | CentOS 7.2 |
| node2 | centos03 | 192.168.0.3 | CentOS 7.2 |
# 2.基础环境配置
## 2.1 hostname配置(可选)
**1）修改主机名**
**在192.168.0.1 root用户下执行：**
hostnamectl set-hostname VM_0_1_centos
**在192.168.0.2 root用户下执行：**
hostnamectl set-hostname VM_0_2_centos
**在192.168.0.3 root用户下执行：**
hostnamectl set-hostname VM_0_3_centos
**2）加入主机映射**
**在目标服务器（192.168.0.1 192.168.0.2 192.168.0.3）root用户下执行：**
vim /etc/hosts
192.168.0.1 VM_0_1_centos
192.168.0.2 VM_0_2_centos
192.168.0.3 VM_0_3_centos
## 2.2 关闭selinux(可选)
**在目标服务器（192.168.0.1 192.168.0.2 192.168.0.3）root用户下执行：**
sed -i '/\^SELINUX/s/=.\*/=disabled/' /etc/selinux/config
setenforce 0
## 2.3 修改Linux最大打开文件数
**在目标服务器（192.168.0.1 192.168.0.2 192.168.0.3）root用户下执行：**
vim /etc/security/limits.conf
\* soft nofile 65536
\* hard nofile 65536
## 2.4 关闭防火墙(可选)
**在目标服务器（192.168.0.1 192.168.0.2 192.168.0.3）root用户下执行**
systemctl disable firewalld.service
systemctl stop firewalld.service
systemctl status firewalld.service
## 2.5 软件环境初始化
**1）初始化服务器**
groupadd -g 6000 apps
useradd -s /bin/sh -g apps –d /home/app app
passwd app
yum -y install gcc gcc-c++ make autoconfig openssl-devel supervisor gmp-devel mpfr-devel libmpc-devel libaio numactl autoconf automake libtool libffi-dev
**2）配置sudo**
**在目标服务器（192.168.0.1 192.168.0.2 192.168.0.3）root用户下执行**
vim /etc/sudoers.d/app
app ALL=(ALL) ALL
app ALL=(ALL) NOPASSWD: ALL
Defaults !env_reset
**3）配置ssh无密登录**
**a. 在目标服务器（192.168.0.1 192.168.0.2 192.168.0.3）app用户下执行**
su app
ssh-keygen -t rsa
cat \~/.ssh/id_rsa.pub \>\> /home/app/.ssh/authorized_keys
chmod 600 \~/.ssh/authorized_keys
**b.合并id_rsa_pub文件**
**在192.168.0.1 app用户下执行**
scp \~/.ssh/authorized_keys app\@192.168.0.2:/home/app/.ssh
输入app密码
**在192.168.0.2 app用户下执行**
cat \~/.ssh/id_rsa.pub \>\> /home/app/.ssh/authorized_keys
scp \~/.ssh/authorized_keys app@192.168.0.3:/home/app/.ssh
**在192.168.0.3 app用户下执行**
cat \~/.ssh/id_rsa.pub \>\> /home/app/.ssh/authorized_keys
scp \~/.ssh/authorized_keys app@192.168.0.1:/home/app/.ssh
scp \~/.ssh/authorized_keys app@192.168.0.2:/home/app/.ssh
**c. 在目标服务器（192.168.0.1 192.168.0.2 192.168.0.3）app用户下执行ssh 测试**
ssh app@192.168.0.1
ssh app@192.168.0.2
ssh app@192.168.0.3
## 2.6 sysctl参数配置
**在192.168.0.1 192.168.0.2 192.168.0.3 root用户下操作**
**vim /etc/sysctl.conf**
net.bridge.bridge-nf-call-iptables=1
net.bridge.bridge-nf-call-ip6tables=1
net.ipv4.ip_forward=1
net.ipv4.tcp_tw_recycle=0
vm.swappiness=0
vm.overcommit_memory=1
vm.panic_on_oom=0
fs.inotify.max_user_watches=89100
fs.file-max=52706963
fs.nr_open=52706963
net.ipv6.conf.all.disable_ipv6=1
net.netfilter.nf_conntrack_max=2310720
**#生效**
sysctl –p
## 2.7 ntpd配置
****1**）服务端配置****
**在192.168.0.1 root用户下操作**
yum install -y ntp ntpdate
**修改etc/ntp.conf**
**注释所有的server和restrict**
**加入：**
server 0.cn.pool.ntp.org
server 0.asia.pool.ntp.org
server 3.asia.pool.ntp.org
restrict 0.cn.pool.ntp.org nomodify notrap noquery
restrict 0.asia.pool.ntp.org nomodify notrap noquery
restrict 3.asia.pool.ntp.org nomodify notrap noquery
server 127.127.1.0 # local clock
fudge 127.127.1.0 stratum 10
system enable ntpd
systemctl disable chronyd
systemctl restart ntpd
**查看网络中的NTP服务器**
ntpq –p
****2**）客户端配置****
**在192.168.0.2 192.168.0.3 root用户下操作**
yum install -y ntp ntpdate
**在/etc/ntp.conf加入**
server 192.168.0.1 prefer
system enable ntpd
systemctl disable chronyd
systemctl restart ntpd
**同步**
ntpdate -u 192.168.0.1
执行hwclock --systohc，把系统时间同步到硬件BIOS
ssh app@192.168.0.3
# 3.配置centos源
**在192.168.0.1 root用户下操作，需要外网环境**
**1）安装插件**
yum install -y yum-plugin-downloadonly createrepo rsync
**2）创建目录**
mkdir -p /data/mirrors/centos
**3）下载文件或上传文件**
yum install nginx -y --downloadonly --downloaddir= /data/mirrors/centos
也可以自行下载rpm包到/data/mirrors/centos
**4）创建repo**
createrepo /data/mirrors/centos
**5）安装nginx**
yum -y install nginx
cd /etc/nginx/conf.d
**vim mirrors.conf**
server {
listen 88;
server_name localhost;
root /data/mirrors/;
location / {
autoindex on;
autoindex_exact_size off;
autoindex_localtime on;
}
}
**启服务**
nginx
nginx -t
nginx -s reload
systemctl enable nginx
systemctl start nginx
**6）配置repo（在192.168.0.1 192.168.0.2 192.168.0.3 root用户下操作）**
**vim /etc/yum.repos.d/mirrors.repo**
[yumbase]
name=yum-local-repository
baseurl=http://192.168.0.1:88/centos/
enabled=1
gpgcheck=0
#验证
yum clean all && yum makecache
yum repoinfo webank-local-repository
**7）验证（任意机器）**
yum -y install 软件名.版本号
**8）同步清华大学源（在192.168.0.1 root用户下操作）**
#!/bin/bash
/usr/bin/rsync -avz rsync://mirrors.tuna.tsinghua.edu.cn/centos/7/centosplus/x86_64/Packages/ /data/mirrors/centos
/usr/bin/rsync -avz rsync://mirrors.tuna.tsinghua.edu.cn/centos/7/extras/x86_64/Packages/ /data/mirrors/centos
/usr/bin/rsync -avz rsync://mirrors.tuna.tsinghua.edu.cn/centos/7/os/x86_64/Packages/ /data/mirrors/centos
/usr/bin/rsync -avz rsync://mirrors.tuna.tsinghua.edu.cn/centos/7/updates/x86_64/Packages/ /data/mirrors/centos
/usr/bin/rsync -avz rsync://mirrors.tuna.tsinghua.edu.cn/epel/7Server/x86_64/Packages/ /data/mirrors/centos
**9）同步阿里云k8s组件（在192.168.0.1 root用户下操作）**
需要手动下载：https://mirrors.aliyun.com/kubernetes/yum/repos/kubernetes-el7-x86_64/Packages，下载并拷贝到 /data/mirrors/centos即可。
# 4.安装docker
**在192.168.0.1 192.168.0.2 192.168.0.3 root用户下操作**
wget https://download.docker.com/linux/centos/7/x86_64/stable/Packages/containerd.io-1.2.0-3.el7.x86_64.rpm
wget https://download.docker.com/linux/centos/7/x86_64/stable/Packages/docker-ce-cli-18.09.0-3.el7.x86_64.rpm
wget https://download.docker.com/linux/centos/7/x86_64/stable/Packages/docker-ce-18.09.0-3.el7.x86_64.rpm
wget https://download.docker.com/linux/centos/7/x86_64/stable/Packages/docker-ce-selinux-17.03.3.ce-1.el7.noarch.rpm
rpm -ivh containerd.io-1.2.0-3.el7.x86_64.rpm
rpm -ivh docker-ce-selinux-17.03.3.ce-1.el7.noarch.rpm
rpm -ivh docker-ce-cli-18.09.0-3.el7.x86_64.rpm
rpm -ivh docker-ce-18.09.0-3.el7.x86_64.rpm
systemctl enable docker
usermod -G docker app
systemctl start docker
# 5.registry私有仓库配置
****1**）配置registry私有仓库****
**在192.168.0.1（外网环境）app用户下执行**
docker pull registry.cn-beijing.aliyuncs.com/zhoujun/pause:3.1
docker tag registry.cn-beijing.aliyuncs.com/zhoujun/pause:3.1 k8s.gcr.io/pause:3.1
docker pull registry
docker run -d -v /data/registry:/var/lib/registry -p 5000:5000 --restart=always --privileged=true --name registry registry:latest
**在192.168.0.1 192.168.0.2 192.168.0.3 root用户下执行**
vim /etc/docker/daemon.json加入
{
"registry-mirrors": ["https://njrds9qc.mirror.aliyuncs.com"],
"insecure-registries":["192.168.0.1:5000"]
}
systemctl daemon-reload
systemctl restart docker
docker login 192.168.0.1:5000 输入用户名和密码：wb 123
cat ~/.docker/config.json 查看认证信息
**创建secret**
/data/projects/common/kubernetes/bin/kubectl create secret docker-registry dockercfg-192 --docker-server=192.168.0.1:5000 --docker-username=wb --docker-password=123
**查看创建的dockercfg-192**
/data/projects/common/kubernetes/bin/kubectl get secret |grep dockercfg-192
**2****）推送images到私有仓库**
**在192.168.0.1 app用户下执行**
**a.****改标签**
docker tag f32a97de94e1 192.168.0.1:5000/registry:latest
docker tag k8s.gcr.io/pause:3.1 192.168.0.1:5000/k8s.gcr.io/pause:3.1
**b.****推送**
docker push 192.168.0.1:5000/registry: latest
docker push 192.168.0.1:5000/ k8s.gcr.io/pause:3.1
**c.****拉取**
**在192.168.0.2 192.168.0.3 app用户下执行**
docker pull 192.168.0.1:5000/registry:latest
docker tag f32a97de94e1 registry:latest
docker run -d -v /data/registry:/var/lib/registry -p 5000:5000 --restart=always --privileged=true --name registry registry:latest
docker pull 192.168.0.1:5000/ k8s.gcr.io/pause:3.1
docker tag 192.168.0.1:5000/k8s.gcr.io /pause:3.1 k8s.gcr.io/pause:3.1
# 6.安装k8s管理工具
**在192.168.0.1 192.168.0.2 192.168.0.3 root 用户下安装**
yum -y install kubelet-1.16.1 kubeadm-1.15.4 kubectl-1.15.0 --disableexcludes=kubernetes
systemctl daemon-reload
systemctl enable kubelet
# 7.部署k8s组件
**1）查看所需要镜像（在master节点192.168.0.1 root用户下操作）**
#kubeadm config images list
k8s.gcr.io/kube-apiserver:v1.16.1
k8s.gcr.io/kube-controller-manager:v1.16.1
k8s.gcr.io/kube-scheduler:v1.16.1
k8s.gcr.io/kube-proxy:v1.16.1
k8s.gcr.io/pause:3.1
k8s.gcr.io/etcd:3.3.10
k8s.gcr.io/coredns:1.3.1
**2）下载镜像（在master节点192.168.0.1 root用户下操作）**
**cat kubeadm.sh**
#!/bin/bash
set -e
KUBE_VERSION=v1.16.1
KUBE_PAUSE_VERSION=3.1
ETCD_VERSION=3.3.10
CORE_DNS_VERSION=1.3.1
GCR_URL=k8s.gcr.io
ALIYUN_URL=registry.cn-hangzhou.aliyuncs.com/google_containers
images=(kube-proxy:${KUBE_VERSION}
kube-scheduler:${KUBE_VERSION}
kube-controller-manager:${KUBE_VERSION}
kube-apiserver:${KUBE_VERSION}
pause:${KUBE_PAUSE_VERSION}
etcd:${ETCD_VERSION}
coredns:${CORE_DNS_VERSION})
for imageName in ${images[@]} ; do
docker pull $ALIYUN_URL/$imageName
docker tag $ALIYUN_URL/$imageName $GCR_URL/$imageName
docker rmi $ALIYUN_URL/$imageName
done
**执行脚本**
bash kubeadm.sh
**3）初始化（master节点）**
kubeadm init \
--apiserver-advertise-address 192.168.0.1 \
--kubernetes-version=v1.16.1 \
--image-repository registry.aliyuncs.com/google_containers\
--pod-network-cidr=10.244.0.0/16
初始化了需要重新执行 nohup /usr/local/bin/tiller &
**如返回以下信息表示初始化成功**
kubeadm join 192.168.0.1:6443 --token yksijn.pggvc1rweyk7ryv3 \
--discovery-token-ca-cert-hash sha256:7aee53faa90a6ef1ed6a72b5ef7352843bdb0b4b93c76db786a04805ef47607b
**#添加节点（所有节点）**
kubeadm join 192.168.0.1:8080 --token yksijn.pggvc1rweyk7ryv3 \
--discovery-token-ca-cert-hash sha256:7aee53faa90a6ef1ed6a72b5ef7352843bdb0b4b93c76db786a04805ef47607b --ignore-preflight-errors=all
**#将master节点开放到node节点处**
kubectl taint nodes --all node-role.kubernetes.io/master-
**#导出配置（8080）**
在/etc/profile加入，然后source /etc/profile
export KUBECONFIG=/etc/kubernetes/kubelet.conf
export KUBECONFIG=/etc/kubernetes/admin.conf
**4）安装flannel插件（所有节点）**
mkdir -p $HOME/.kube
sudo cp -i /etc/kubernetes/admin.conf $HOME/.kube/config
sudo chown $(id -u):$(id -g) $HOME/.kube/config
**#下载镜像**
**vim flanneld.sh**
#!/bin/bash
set -e
FLANNEL_VERSION=v0.11.0
QUAY_URL=quay.io/coreos
QINIU_URL=quay-mirror.qiniu.com/coreos
images=(flannel:${FLANNEL_VERSION}-amd64
flannel:${FLANNEL_VERSION}-arm64
flannel:${FLANNEL_VERSION}-arm
flannel:${FLANNEL_VERSION}-ppc64le
flannel:${FLANNEL_VERSION}-s390x)
for imageName in ${images[@]} ; do
docker pull $QINIU_URL/$imageName
docker tag $QINIU_URL/$imageName $QUAY_URL/$imageName
docker rmi $QINIU_URL/$imageName
done
**执行脚本**
bash flanneld.sh
**#创建**
git clone https://github.com/coreos/flannel.git
cd flannel/Documentation
kubectl apply -f kube-flannel.yml
**#验证节点安装情况**
kubectl get componentstatus
kubectl get node
**k8s组件配置镜像仓库**
**#master节点操作**
docker tag k8s.gcr.io/kube-proxy:v1.16.1 192.168.0.1:5000/k8s.gcr.io/kube-proxy:v1.16.1
docker tag k8s.gcr.io/kube-controller-manager:v1.16.1 192.168.0.1:5000/k8s.gcr.io/kube-controller-manager:v1.16.1
docker tag k8s.gcr.io/kube-apiserver:v1.16.1 192.168.0.1:5000/k8s.gcr.io/kube-apiserver:v1.16.1
docker tag k8s.gcr.io/kube-scheduler:v1.16.1 192.168.0.1:5000/k8s.gcr.io/kube-scheduler:v1.16.1
docker tag k8s.gcr.io/coredns:1.3.1 192.168.0.1:5000/k8s.gcr.io/coredns:1.3.1
docker tag k8s.gcr.io/etcd:3.3.10 192.168.0.1:5000/k8s.gcr.io/etcd:3.3.10
docker tag k8s.gcr.io/pause:3.1 192.168.0.1:5000/k8s.gcr.io/pause:3.1
docker tag quay.io/coreos/flannel:v0.11.0-s390x 192.168.0.1:5000/quay.io/coreos/flannel:v0.11.0-s390x
docker tag quay.io/coreos/flannel:v0.11.0-ppc64le 192.168.0.1:5000/quay.io/coreos/flannel:v0.11.0-ppc64le
docker tag quay.io/coreos/flannel:v0.11.0-arm64 192.168.0.1:5000/quay.io/coreos/flannel:v0.11.0-arm64
docker tag quay.io/coreos/flannel:v0.11.0-arm 192.168.0.1:5000/quay.io/coreos/flannel:v0.11.0-arm
docker tag quay.io/coreos/flannel:v0.11.0-amd64 192.168.0.1:5000/quay.io/coreos/flannel:v0.11.0-amd64
docker push 192.168.0.1:5000/k8s.gcr.io/kube-proxy:v1.16.1
docker push 192.168.0.1:5000/k8s.gcr.io/kube-controller-manager:v1.16.1
docker push 192.168.0.1:5000/k8s.gcr.io/kube-apiserver:v1.16.1
docker push 192.168.0.1:5000/k8s.gcr.io/kube-scheduler:v1.16.1
docker push 192.168.0.1:5000/k8s.gcr.io/coredns:1.3.1
docker push 192.168.0.1:5000/k8s.gcr.io/etcd:3.3.10
docker push 192.168.0.1:5000/k8s.gcr.io/pause:3.1
docker push 192.168.0.1:5000/quay.io/coreos/flannel:v0.11.0-s390x
docker push 192.168.0.1:5000/quay.io/coreos/flannel:v0.11.0-ppc64le
docker push 192.168.0.1:5000/quay.io/coreos/flannel:v0.11.0-arm64
docker push 192.168.0.1:5000/quay.io/coreos/flannel:v0.11.0-arm
docker push 192.168.0.1:5000/quay.io/coreos/flannel:v0.11.0-amd64
**node节点操作**
docker pull 192.168.0.1:5000/k8s.gcr.io/kube-proxy:v1.16.1
docker pull 192.168.0.1:5000/k8s.gcr.io/kube-controller-manager:v1.16.1
docker pull 192.168.0.1:5000/k8s.gcr.io/kube-apiserver:v1.16.1
docker pull 192.168.0.1:5000/k8s.gcr.io/kube-scheduler:v1.16.1
docker pull 192.168.0.1:5000/k8s.gcr.io/coredns:1.3.1
docker pull 192.168.0.1:5000/k8s.gcr.io/etcd:3.3.10
docker pull 192.168.0.1:5000/k8s.gcr.io/pause:3.1
docker pull 192.168.0.1:5000/quay.io/coreos/flannel:v0.11.0-s390x
docker pull 192.168.0.1:5000/quay.io/coreos/flannel:v0.11.0-ppc64le
docker pull 192.168.0.1:5000/quay.io/coreos/flannel:v0.11.0-arm64
docker pull 192.168.0.1:5000/quay.io/coreos/flannel:v0.11.0-arm
docker pull 192.168.0.1:5000/quay.io/coreos/flannel:v0.11.0-amd64
docker tag 192.168.0.1:5000/k8s.gcr.io/kube-proxy:v1.16.1 k8s.gcr.io/kube-proxy:v1.16.1
docker tag 192.168.0.1:5000/k8s.gcr.io/kube-controller-manager:v1.16.1 k8s.gcr.io/kube-controller-manager:v1.16.1
docker tag 192.168.0.1:5000/k8s.gcr.io/kube-apiserver:v1.16.1 k8s.gcr.io/kube-apiserver:v1.16.1
docker tag 192.168.0.1:5000/k8s.gcr.io/kube-scheduler:v1.16.1 k8s.gcr.io/kube-scheduler:v1.16.1
docker tag 192.168.0.1:5000/k8s.gcr.io/coredns:1.3.1 k8s.gcr.io/coredns:1.3.1
docker tag 192.168.0.1:5000/k8s.gcr.io/etcd:3.3.10 k8s.gcr.io/etcd:3.3.10
docker tag 192.168.0.1:5000/k8s.gcr.io/pause:3.1 k8s.gcr.io/pause:3.1
docker tag 192.168.0.1:5000/quay.io/coreos/flannel:v0.11.0-s390x quay.io/coreos/flannel:v0.11.0-s390x
docker tag 192.168.0.1:5000/quay.io/coreos/flannel:v0.11.0-ppc64le quay.io/coreos/flannel:v0.11.0-ppc64le
docker tag 192.168.0.1:5000/quay.io/coreos/flannel:v0.11.0-arm64 quay.io/coreos/flannel:v0.11.0-arm64
docker tag 192.168.0.1:5000/quay.io/coreos/flannel:v0.11.0-arm quay.io/coreos/flannel:v0.11.0-arm
docker tag 192.168.0.1:5000/quay.io/coreos/flannel:v0.11.0-amd64 quay.io/coreos/flannel:v0.11.0-amd64
# 8.安装helm
**所有节点安装**
wget
https://get.helm.sh/helm-v2.14.3-linux-amd64.tar.gz
tar xvf helm-v2.14.3-linux-amd64.tar.gz
sudo cp linux-amd64/helm tiller /usr/local/bin
sudo yum install -y socat
sudo yum install -y *rhsm*
sudo yum –y install bridge*
sudo nohup /usr/local/bin/tiller &
sudo sed -i '$a\export HELM_HOST=localhost:44134' /etc/profile
source /etc/profile
helm version
k8s记录-kubeam方式部署k8s的更多相关文章
- k8s记录-kubeam部署
#配置源[kubernetes] name=kubernetes repo baseurl=http://mirrors.aliyun.com/kubernetes/yum/repos/kuberne ...
- k8s记录-node组件部署（十）
1)CA 证书配置登录 192.168.0.1 app 用户下cd ssl/kubernetes#注意修改 KUBE_HOME,BOOTSTRAP_TOKEN #与 3.5 3)token 一致,KU ...
- k8s记录-master组件部署（八）
在 192.168.0.1 app 用户下执行1)程序准备tar zxvf kubernetes-server-linux-amd64.tar.gzmv kubernetes/server/bin/{ ...
- k8s重要概念及部署k8s集群（一）--技术流ken
重要概念 1. cluster cluster是 计算.存储和网络资源的集合,k8s利用这些资源运行各种基于容器的应用. 2.master master是cluster的大脑,他的主要职责是调度,即决 ...
- k8s重要概念及部署k8s集群（一）
k8s介绍 Kubernetes(k8s)是Google开源的容器集群管理系统(谷歌内部:Borg).在Docker技术的基础上,为容器化的应用提供部署运行.资源调度.服务发现和动态伸缩等一系列完整功 ...
- centos7.8 安装部署 k8s 集群
centos7.8 安装部署 k8s 集群 目录 centos7.8 安装部署 k8s 集群 环境说明 Docker 安装 k8s 安装准备工作 Master 节点安装 k8s 版本查看 安装 kub ...
- 使用Kubeadm创建k8s集群之部署规划（三十）
前言 上一篇我们讲述了使用Kubectl管理k8s集群,那么接下来,我们将使用kubeadm来启动k8s集群. 部署k8s集群存在一定的挑战,尤其是部署高可用的k8s集群更是颇为复杂(后续会讲).因此 ...
- 二进制方式安装 k8s
推荐个好用的安装k8s的工具 https://github.com/easzlab/kubeasz 该工具基于二进制方式部署 k8s, 利用 ansible-playbook 实现自动化 1.1 ...
- 使用saltstack自动部署K8S
使用saltstack自动部署K8S 一.环境准备 1.1 规划 1. 操作系统 CentOS-7.x-x86_64. 2. 关闭 iptables 和 SELinux. 3. 所有节点的主机名和 I ...
随机推荐
- Haproxy 让后端RS记录真实IP
一.修改haproxy.cfg配置文件,在defaults中加入如下两行,并重启haproxy. vim /etc/haproxy/haproxy.cfg defaults option http-s ...
- Beta冲刺第6次
二.Scrum部分 1. 各成员情况 翟仕佶 学号:201731103226 今日进展 新增图像拼接合并功能 存在问题 无 明日安排 视情况而定 截图 曾中杰 学号:201731062517 今日进展 ...
- Android PKMS服务
它的作用? 关于PKMS的全称是啥应该咱们不陌生,PackageManagerService,和AMS一样是Android系统的核心服务,它主要负责系统中Package的管理,应用程序的安装.卸载.信 ...
- pid 控制
static std::map<pid_t, TTask *> Tasks; TError TTask::Fork(bool detach) { PORTO_ASSERT(!PostFor ...
- python基础知识-列表的排序问题
def main(): f=['orange','zoo','apple','internationalization','blueberry'] #python 内置的排序方式默认为升序(从小到大) ...
- MongoDB中4种日志的详细介绍
前言 任何一种数据库都有各种各样的日志,MongoDB也不例外.MongoDB中有4种日志,分别是系统日志.Journal日志.oplog主从日志.慢查询日志等.这些日志记录着MongoDB数据库不同 ...
- windows下百度离线人脸识别本地部署与使用（nodejs做客户端，c++做服务端，socket做通信）
1.离线人脸识别本地部署 详情请阅读百度人脸识别官网 2.nodejs做socket通信的客户端 为什么不直接通过调用c++编译的exe获得人脸识别结果? 原因:exe运行时会加载很多模型而消耗很多时 ...
- 上传OSS报错
修改OSS
- CSS样式的引入方式
test.css div{ color:yellow; } 在html中引入 <link href="test.css" type="text/css" ...
- python 获取文件运行路径
import os print(os.getcwd()) print("/".join(os.path.dirname(os.path.abspath(__file__)).spl ...