一个轻量的Linux运维监控脚本-伙伴云

一个轻量的Linux运维监控脚本

网友投稿 672 2022-05-28

写在前面

我的需求

嗯，有几台很老的机器，上面部署的几个很老的应用

我需要每周对机器上的一些内存，磁盘，线程，应用和数据库进行巡查监控，输出运维报告

因为是很老的东西，所以不敢随便乱动，怕掉坑里.

每次巡查都是通过通过命令行的方式一个一个指标处理的。

我是这样做的

写了一个巡查脚本，输入一些需要监控的核心指标

脚本获取指标只使用系统自带的一些命令，没有安装任何工具。

这里要说明：这种方式很 old，对于这样的多机器自动化巡查监控

一个轻量的Linux运维监控脚本

如果只是基础指标监控，轻量一点可以使用：

Ansible利用template等模块,魔法变量、系统变量直接获取指标信息

或者ansible-galaxy找找有没有相关的角色

如果需要告警、监控触发器、自动发现、主被动监控之类的功能，则需要部署一些重量级的：

可以使用Prometheus、Zabbix、Nagios、Cacti等

通过容器化的方式也是很容易实现的。

我的生命不长，但是，如你所说，我是自己生命的主宰。-----《阳光姐妹淘》

下面就脚本和小伙伴简单介绍下，如果小伙伴也有我这样的情况，可以参考。主要监控信息有以下几部分内容

系统基础信息

内存交换分区相关信息

CPU相关信息

磁盘和IO相关信息

进程相关信息

网络相关信息

系统基础信息

系统基础信息包括一下几部分：

内核信息

操作系统版本

当前时间及系统运行时间

当前登录用户数

┌──[root@vms81.liruilongs.github.io]-[~] └─$sh shell.sh bash_os SPN 日常巡查脚本输出 ############## 系统基础信息 ####### ------------------------------------ |内核信息: 3.10.0-693.el7.x86_64 ------------------------------------ |操作系统版本: CentOS linux release 7.4.1708 (Core) ------------------------------------ |当前时间及运行时间: 18:06:22 up 9 min ------------------------------------ |当前登录用户数: 1 user ------------------------------------

对应的脚本中的函数

function bash_os() { # "系统基础信息" #内核信息 kernel=$(uname -r) #操作系统版本 release=$(cat /etc/redhat-release) #主机名称 hostname=$HOSTNAME #当前时间及运行时间 dateload=$(uptime | awk -F "," '{print $1}') # 当前登录用户数 users=$(uptime | awk -F "," '{print $2}') echo -e "\n\033[32m############## 系统基础信息 #######\033[0m\n" echo -e "\033[32m------------------------------------\033[0m" echo -e "|内核信息:\033[31m $kernel \033[0m" echo -e "\033[32m------------------------------------\033[0m" echo -e "|操作系统版本:\033[31m $release \033[0m" echo -e "\033[32m------------------------------------\033[0m" echo -e "|当前时间及运行时间:\033[31m $dateload \033[0m" echo -e "\033[32m------------------------------------\033[0m" echo -e "|当前登录用户数:\033[31m $users \033[0m" echo -e "\033[32m------------------------------------\033[0m" }

内存交换分区相关信息

内存信息包括一下几部分：

总内存容量

用户程序内存量

多进程共享内存量

缓存占用内存量

空闲内存容量

剩余可用内存容量

可用内存百分比

总的交换分区容量

用户使用的交换分区容量

剩余交换分区容量

可用交换分区占比

################## 内存 ############ ------------------------------------ |总内存容量: 3.10G ------------------------------------ |用户程序内存量: 1.21G ------------------------------------ |多进程共享内存量: 0.02G ------------------------------------ |缓存占用内存量: 1759MB ------------------------------------ |空闲内存容量: 0.18G ------------------------------------ |剩余可用内存容量: 1.57G ------------------------------------ |可用内存百分比： 50.68% ------------------------------------ ############## 交换分区 ############# ------------------------------------ 总的交换分区容量： 0.00G ------------------------------------ |用户使用的交换分区容量： 0.00G ------------------------------------ |剩余交换分区容量： 0.00G ------------------------------------ |占用内存资源最多的10个进程列表: 434568 kube-apiserver --advertise-address=192.168.26.81 --allow-privileged=true --token-auth-file=/etc/kubernetes/pki/liruilong.csv --authorization-mode=Node,RBAC --client-ca-file=/etc/kubernetes/pki/ca.crt --enable-admission-plugins=NodeRestriction --enable-bootstrap-token-auth=true --etcd-cafile=/etc/kubernetes/pki/etcd/ca.crt --etcd-certfile=/etc/kubernetes/pki/apiserver-etcd-client.crt --etcd-keyfile=/etc/kubernetes/pki/apiserver-etcd-client.key --etcd-servers=https://127.0.0.1:2379 --kubelet-client-certificate=/etc/kubernetes/pki/apiserver-kubelet-client.crt --kubelet-client-key=/etc/kubernetes/pki/apiserver-kubelet-client.key --kubelet-preferred-address-types=InternalIP,ExternalIP,Hostname --proxy-client-cert-file=/etc/kubernetes/pki/front-proxy-client.crt --proxy-client-key-file=/etc/kubernetes/pki/front-proxy-client.key --requestheader-allowed-names=front-proxy-client --requestheader-client-ca-file=/etc/kubernetes/pki/front-proxy-ca.crt --requestheader-extra-headers-prefix=X-Remote-Extra- --requestheader-group-headers=X-Remote-Group --requestheader-username-headers=X-Remote-User --secure-port=6443 --service-account-issuer=https://kubernetes.default.svc.cluster.local --service-account-key-file=/etc/kubernetes/pki/sa.pub --service-account-signing-key-file=/etc/kubernetes/pki/sa.key --service-cluster-ip-range=10.96.0.0/12 --tls-cert-file=/etc/kubernetes/pki/apiserver.crt --tls-private-key-file=/etc/kubernetes/pki/apiserver.key 140716 /usr/bin/kubelet --bootstrap-kubeconfig=/etc/kubernetes/bootstrap-kubelet.conf --kubeconfig=/etc/kubernetes/kubelet.conf --config=/var/lib/kubelet/config.yaml --network-plugin=cni --pod-infra-container-image=registry.aliyuncs.com/google_containers/pause:3.5 95636 kube-controller-manager --allocate-node-cidrs=true --authentication-kubeconfig=/etc/kubernetes/controller-manager.conf --authorization-kubeconfig=/etc/kubernetes/controller-manager.conf --bind-address=127.0.0.1 --client-ca-file=/etc/kubernetes/pki/ca.crt --cluster-cidr=10.244.0.0/16 --cluster-name=kubernetes --cluster-signing-cert-file=/etc/kubernetes/pki/ca.crt --cluster-signing-key-file=/etc/kubernetes/pki/ca.key --controllers=*,bootstrapsigner,tokencleaner --kubeconfig=/etc/kubernetes/controller-manager.conf --leader-elect=true --port=0 --requestheader-client-ca-file=/etc/kubernetes/pki/front-proxy-ca.crt --root-ca-file=/etc/kubernetes/pki/ca.crt --service-account-private-key-file=/etc/kubernetes/pki/sa.key --service-cluster-ip-range=10.96.0.0/12 --use-service-account-credentials=true 94252 etcd --advertise-client-urls=https://192.168.26.81:2379 --cert-file=/etc/kubernetes/pki/etcd/server.crt --client-cert-auth=true --data-dir=/var/lib/etcd --initial-advertise-peer-urls=https://192.168.26.81:2380 --initial-cluster=vms81.liruilongs.github.io=https://192.168.26.81:2380 --key-file=/etc/kubernetes/pki/etcd/server.key --listen-client-urls=https://127.0.0.1:2379,https://192.168.26.81:2379 --listen-metrics-urls=http://127.0.0.1:2381 --listen-peer-urls=https://192.168.26.81:2380 --name=vms81.liruilongs.github.io --peer-cert-file=/etc/kubernetes/pki/etcd/peer.crt --peer-client-cert-auth=true --peer-key-file=/etc/kubernetes/pki/etcd/peer.key --peer-trusted-ca-file=/etc/kubernetes/pki/etcd/ca.crt --snapshot-count=10000 --trusted-ca-file=/etc/kubernetes/pki/etcd/ca.crt 90888 /usr/bin/dockerd --insecure-registry 192.168.26.56 -H fd:// --containerd=/run/containerd/containerd.sock 44736 /usr/bin/containerd 43584 calico-node -felix 40900 kube-scheduler --authentication-kubeconfig=/etc/kubernetes/scheduler.conf --authorization-kubeconfig=/etc/kubernetes/scheduler.conf --bind-address=127.0.0.1 --kubeconfig=/etc/kubernetes/scheduler.conf --leader-elect=true --port=0 37572 calico-node -allocate-tunnel-addrs 37284 calico-node -confd% ------------------------------------

对应的脚本中的函数

function memory() { # 内存相关数据统计`free -m` #总内存容量 mem_total=$(free -m | awk '/Mem/{printf "%.2fG", $2/1024}') # 用户程序占用内存量 mem_user=$(free -m | awk '/Mem/{printf "%.2fG", $3/1024}') # 多进程共享占用内存量 mem_shared=$(free -m | awk '/Mem/{printf "%.2fG", $5/1024}') #缓存占用内存量 mem_buff_cache=$(free -m | awk '/Mem/{printf "%.fMB", $(NF-1)}') #空闲内存容量 mem_free=$(free -m | awk '/Mem/{printf "%.2fG", $4/1024 }') # 剩余可用内存容量 mem_available=$(free -m | awk 'NR==2{printf "%.2fG",$NF/1024}') # 可用内存使用占比 mem_percentage=$(free -m | awk '/Mem/{printf "%.2f", $NF/$2*100}') #总的交换分区容量 swap_total=$(free -m | awk '/Swap/{printf "%.2fG", $2/1024}') #用户使用的交换分区容量 swap_user=$(free -m | awk '/Swap/{printf "%.2fG",$3/1024}') #剩余交换分区容量 swap_free=$(free -m | awk '/Swap/{printf "%.2fG",$4/1024}') #可用交换分区占比 swap_percentage=$(free -m | awk '/Swap/{printf "%.2f",$4/$2*100}') #占用内存资源最多的10个进程列表 top_proc_mem=$(ps --no-headers -eo rss,args | sort -k1 -n -r | head -10) echo -e "\n\033[32m################## 内存 ############\033[0m\n" echo -e "\033[32m------------------------------------\033[0m" echo -e "|总内存容量:\033[31m $mem_total \033[0m" echo -e "\033[32m------------------------------------\033[0m" echo -e "|用户程序内存量:\033[31m $mem_user \033[0m" echo -e "\033[32m------------------------------------\033[0m" echo -e "|多进程共享内存量:\033[31m $mem_shared \033[0m" echo -e "\033[32m------------------------------------\033[0m" echo -e "|缓存占用内存量:\033[31m $mem_buff_cache \033[0m" echo -e "\033[32m------------------------------------\033[0m" echo -e "|空闲内存容量:\033[31m $mem_free \033[0m" echo -e "\033[32m------------------------------------\033[0m" echo -e "|剩余可用内存容量:\033[31m $mem_available \033[0m" echo -e "\033[32m------------------------------------\033[0m" echo -e "|可用内存百分比：\033[31m $mem_percentage% \033[0m" echo -e "\033[32m------------------------------------\033[0m" echo -e "\033[32m############## 交换分区 #############\033[0m\n" echo -e "\033[32m------------------------------------\033[0m" echo -e "总的交换分区容量：\033[31m $swap_total \033[0m" echo -e "\033[32m------------------------------------\033[0m" echo -e "|用户使用的交换分区容量：\033[31m $swap_user \033[0m" echo -e "\033[32m------------------------------------\033[0m" echo -e "|剩余交换分区容量：\033[31m ${swap_free}" echo -e "\033[32m------------------------------------\033[0m" if [ $(free -m | awk '/Swap/{print $2}') -ne 0 ]; then echo -e "|可用交换分区占比：\033[31m $swap_percentage% \033[0m" echo -e "\033[32m------------------------------------\033[0m" fi echo -e "|占用内存资源最多的10个进程列表:" echo -e "\033[31m$top_proc_mem% \033[0m" echo -e "\033[32m------------------------------------\033[0m" }

CPU相关信息

CPU相关信息包含：

CPU型号

CPU内核数量

CPU最近1/5/15分钟的平均负载

当前CPU中断数量

当前上下文切换数量

################## CPU 相关 ############ ------------------------------------ |CPU型号: AMD Ryzen 7 2700U with Radeon Vega Mobile Gfx ------------------------------------ |CPU内核数量:2 ------------------------------------ |CPU最近1/5/15分钟的平均负载:0.34 0.52 0.90 ------------------------------------ |CPU中断数量:1544 ------------------------------------ |上下文切换数量:2639 ------------------------------------ |占用CPU资源最多的10个进程列表: 14.3 kube-apiserver --advertise-address=192.168.26.81 --allow-privileged=true --token-auth-file=/etc/kubernetes/pki/liruilong.csv --authorization-mode=Node,RBAC --client-ca-file=/etc/kubernetes/pki/ca.crt --enable-admission-plugins=NodeRestriction --enable-bootstrap-token-auth=true --etcd-cafile=/etc/kubernetes/pki/etcd/ca.crt --etcd-certfile=/etc/kubernetes/pki/apiserver-etcd-client.crt --etcd-keyfile=/etc/kubernetes/pki/apiserver-etcd-client.key --etcd-servers=https://127.0.0.1:2379 --kubelet-client-certificate=/etc/kubernetes/pki/apiserver-kubelet-client.crt --kubelet-client-key=/etc/kubernetes/pki/apiserver-kubelet-client.key --kubelet-preferred-address-types=InternalIP,ExternalIP,Hostname --proxy-client-cert-file=/etc/kubernetes/pki/front-proxy-client.crt --proxy-client-key-file=/etc/kubernetes/pki/front-proxy-client.key --requestheader-allowed-names=front-proxy-client --requestheader-client-ca-file=/etc/kubernetes/pki/front-proxy-ca.crt --requestheader-extra-headers-prefix=X-Remote-Extra- --requestheader-group-headers=X-Remote-Group --requestheader-username-headers=X-Remote-User --secure-port=6443 --service-account-issuer=https://kubernetes.default.svc.cluster.local --service-account-key-file=/etc/kubernetes/pki/sa.pub --service-account-signing-key-file=/etc/kubernetes/pki/sa.key --service-cluster-ip-range=10.96.0.0/12 --tls-cert-file=/etc/kubernetes/pki/apiserver.crt --tls-private-key-file=/etc/kubernetes/pki/apiserver.key 5.9 kube-controller-manager --allocate-node-cidrs=true --authentication-kubeconfig=/etc/kubernetes/controller-manager.conf --authorization-kubeconfig=/etc/kubernetes/controller-manager.conf --bind-address=127.0.0.1 --client-ca-file=/etc/kubernetes/pki/ca.crt --cluster-cidr=10.244.0.0/16 --cluster-name=kubernetes --cluster-signing-cert-file=/etc/kubernetes/pki/ca.crt --cluster-signing-key-file=/etc/kubernetes/pki/ca.key --controllers=*,bootstrapsigner,tokencleaner --kubeconfig=/etc/kubernetes/controller-manager.conf --leader-elect=true --port=0 --requestheader-client-ca-file=/etc/kubernetes/pki/front-proxy-ca.crt --root-ca-file=/etc/kubernetes/pki/ca.crt --service-account-private-key-file=/etc/kubernetes/pki/sa.key --service-cluster-ip-range=10.96.0.0/12 --use-service-account-credentials=true 5.8 /usr/bin/kubelet --bootstrap-kubeconfig=/etc/kubernetes/bootstrap-kubelet.conf --kubeconfig=/etc/kubernetes/kubelet.conf --config=/var/lib/kubelet/config.yaml --network-plugin=cni --pod-infra-container-image=registry.aliyuncs.com/google_containers/pause:3.5 5.1 calico-node -felix 3.4 etcd --advertise-client-urls=https://192.168.26.81:2379 --cert-file=/etc/kubernetes/pki/etcd/server.crt --client-cert-auth=true --data-dir=/var/lib/etcd --initial-advertise-peer-urls=https://192.168.26.81:2380 --initial-cluster=vms81.liruilongs.github.io=https://192.168.26.81:2380 --key-file=/etc/kubernetes/pki/etcd/server.key --listen-client-urls=https://127.0.0.1:2379,https://192.168.26.81:2379 --listen-metrics-urls=http://127.0.0.1:2381 --listen-peer-urls=https://192.168.26.81:2380 --name=vms81.liruilongs.github.io --peer-cert-file=/etc/kubernetes/pki/etcd/peer.crt --peer-client-cert-auth=true --peer-key-file=/etc/kubernetes/pki/etcd/peer.key --peer-trusted-ca-file=/etc/kubernetes/pki/etcd/ca.crt --snapshot-count=10000 --trusted-ca-file=/etc/kubernetes/pki/etcd/ca.crt 2.6 /usr/bin/dockerd --insecure-registry 192.168.26.56 -H fd:// --containerd=/run/containerd/containerd.sock 0.7 kube-scheduler --authentication-kubeconfig=/etc/kubernetes/scheduler.conf --authorization-kubeconfig=/etc/kubernetes/scheduler.conf --bind-address=127.0.0.1 --kubeconfig=/etc/kubernetes/scheduler.conf --leader-elect=true --port=0 0.6 /usr/bin/containerd 0.4 /speaker --port=7472 --config=config --log-level=info 0.3 [rcu_sched] ------------------------------------

对应的脚本中的函数

function cpu() { #CPU型号 cpu_info=$(LANG=C lscpu | awk -F: '/Model name/ {print $2}') #CPU内核数量 cpu_core=$(awk '/processor/{core++} END{print core}' /proc/cpuinfo) #CPU最近1/5/15分钟的平均负载 load1515=$(uptime | sed 's/,/ /g' | awk '{for(i=NF-2;i<=NF;i++)print $i }' | xargs) #发生中断数量 irq=$(vmstat 1 1 | awk 'NR==3{print $11}') #上下文切换数量 cs=$(vmstat 1 1 | awk 'NR==3{print $12}') #占用CPU资源最多的10个进程列表 top_proc_cpu=$(ps --no-headers -eo %cpu,args | sort -k1 -n -r | head -10) echo -e "\n\033[32m################## CPU 相关 ############\033[0m\n" echo -e "\033[32m------------------------------------\033[0m" echo -e "|CPU型号:\033[31m$cpu_info \033[0m" echo -e "\033[32m------------------------------------\033[0m" echo -e "|CPU内核数量:\033[31m$cpu_core \033[0m" echo -e "\033[32m------------------------------------\033[0m" echo -e "|CPU最近1/5/15分钟的平均负载:\033[31m$load1515 \033[0m" echo -e "\033[32m------------------------------------\033[0m" echo -e "|CPU中断数量:\033[31m$irq \033[0m" echo -e "\033[32m------------------------------------\033[0m" echo -e "|上下文切换数量:\033[31m$cs \033[0m" echo -e "\033[32m------------------------------------\033[0m" echo -e "|占用CPU资源最多的10个进程列表:" echo -e "\033[31m$top_proc_cpu \033[0m" echo -e "\033[32m------------------------------------\033[0m" }

磁盘和IO相关信息

磁盘和IO相关信息包括：

磁盘总数

分区总数

磁盘分区信息

写入磁盘的总块数

从磁盘读出的块数

每秒写磁盘块的速率

分区挂载信息

对应的脚本中的函数

################## 磁盘IO 相关 ############ ------------------------------------ |磁盘总数:1 ------------------------------------ |分区总数:2 ------------------------------------ |磁盘分区信息: sda 8:0 0 200G 0 disk ├─sda1 8:1 0 150G 0 part / └─sda2 8:2 0 10G 0 part ------------------------------------ |写入磁盘的总块数:74 ------------------------------------ |从磁盘读出的块数:272 ------------------------------------ |每秒写磁盘块的速率:2 ------------------------------------ |分区挂载信息: 文件系统容量已用可用已用% 挂载点 /dev/sda1 150G 10G 140G 7% / devtmpfs 1.6G 0 1.6G 0% /dev tmpfs 1.6G 0 1.6G 0% /dev/shm tmpfs 1.6G 20M 1.6G 2% /run tmpfs 1.6G 0 1.6G 0% /sys/fs/cgroup overlay 150G 10G 140G 7% /var/lib/docker/overlay2/0370fc2d32a8fba7bcaf18a3444dd3cc61121ba573da75445473d5609e82f466/merged shm 64M 0 64M 0% /var/lib/docker/containers/dd4b3412559057ac9b3fcff5e5a1ab861fa2290c9de927b6b92c1a56afd57468/mounts/shm overlay 150G 10G 140G 7% /var/lib/docker/overlay2/650230f0350777c4c670d2d9a7bd1a4e83f2c391dc499889af2fb6b1306200ba/merged shm 64M 0 64M 0% /var/lib/docker/containers/4ac13265340675dbd5122575b5df523d9711f7c282f5516c93ebddd5fb6d0cba/mounts/shm overlay 150G 10G 140G 7% /var/lib/docker/overlay2/21acb391efe73a0608564f157a18f4805c86503dadce8a818c1ec3bb9f0bc9d3/merged overlay 150G 10G 140G 7% /var/lib/docker/overlay2/43c68357d19f0a42551bfe1db0f06d61ca28906d150026a60c087650b32cfd60/merged shm 64M 0 64M 0% /var/lib/docker/containers/589dd158e86a7000180299eb4264bf69fde530b424d9e508ab8fee80dbba5d08/mounts/shm shm 64M 0 64M 0% /var/lib/docker/containers/f71b1bb09845613f21adad525e03a7fee4c9eef1b0699117d87cfa9f72de75db/mounts/shm overlay 150G 10G 140G 7% /var/lib/docker/overlay2/46bb70a2c8944cf3fe0b179906f791f1775eb3c87d2598c8a3e7ba154f6c7e00/merged overlay 150G 10G 140G 7% /var/lib/docker/overlay2/1d542264230ed8d093971177f13ba90700d5b6d4c8703e89eafe3d548fcd15ab/merged overlay 150G 10G 140G 7% /var/lib/docker/overlay2/e5023f46fda09e5a04cf392ae0461511930a9095196c0136f0b5e78331488556/merged overlay 150G 10G 140G 7% /var/lib/docker/overlay2/3e06461dcde6535e1857fb32d5a6b9b7e24479fdde083c2e0a23302e747cb926/merged tmpfs 3.1G 12K 3.1G 1% /var/lib/kubelet/pods/8dc44e6f-10c8-4336-8d17-3d7d30e068d7/volumes/kubernetes.io~projected/kube-api-access-lrqtd tmpfs 170M 12K 170M 1% /var/lib/kubelet/pods/3c16b2c9-72b8-42d2-9c56-f572f1c3d715/volumes/kubernetes.io~projected/kube-api-access-cnrsg tmpfs 3.1G 12K 3.1G 1% /var/lib/kubelet/pods/c468b66c-2c95-49b0-8081-241ae7b7ddb5/volumes/kubernetes.io~projected/kube-api-access-mlwx6 tmpfs 170M 12K 170M 1% /var/lib/kubelet/pods/8628a04d-61f2-42a7-aa29-10318d5628ec/volumes/kubernetes.io~projected/kube-api-access-rqjht overlay 150G 10G 140G 7% /var/lib/docker/overlay2/97dbbac8525cec33bc85856090675edc8463e46960bb5b5e50347e59eeb45ffc/merged shm 64M 0 64M 0% /var/lib/docker/containers/a1d8a8046b2e0fde29fe8b36b8621c5773a5c557a6ab7c6a6ffea1d672a87e31/mounts/shm tmpfs 3.1G 12K 3.1G 1% /var/lib/kubelet/pods/95d09836-f343-4814-8daf-f41b90a5da63/volumes/kubernetes.io~projected/kube-api-access-8zzsm overlay 150G 10G 140G 7% /var/lib/docker/overlay2/2c9c06fb46aac0de072f2f27d6c20b9da6e9891065558341d569f9dfbfbab4ec/merged tmpfs 3.1G 12K 3.1G 1% /var/lib/kubelet/pods/dbe168eb-be54-4248-a1ac-c98e209dd735/volumes/kubernetes.io~projected/kube-api-access-56x97 shm 64M 0 64M 0% /var/lib/docker/containers/523c33b8c407e3a71150ffedb34035074bf4777f18cf26067c3c033119bb67b2/mounts/shm overlay 150G 10G 140G 7% /var/lib/docker/overlay2/601f14c96dc128154eba3be7db81c0585b90ded24ca3f833d860dbfed57bca8e/merged shm 64M 0 64M 0% /var/lib/docker/containers/389ca895399660bdc841974db7f01b71e38955c4eabbba9be680a2ef17ee7867/mounts/shm overlay 150G 10G 140G 7% /var/lib/docker/overlay2/cd288d78dde65645df76d6dc1e56acada16a699412db9a0fe723d7f07dcc25b9/merged overlay 150G 10G 140G 7% /var/lib/docker/overlay2/49742d1a276e657bf45bd80be2f375282af29490dad15bc4c3ba99beeb9bd115/merged overlay 150G 10G 140G 7% /var/lib/docker/overlay2/76a1d6e77213fa534970e4a3d5e912e59f2b46e3a804bec37378fcca52e15183/merged overlay 150G 10G 140G 7% /var/lib/docker/overlay2/484276ff32ad852232ca4ce9c623d8fbf00ae4bd7854ac45e480cb2e9bd8b5e6/merged shm 64M 0 64M 0% /var/lib/docker/containers/ac12271bfe6d640b98634b054d45711c12cdecc9dca5d7dff19e62d2959bf9a9/mounts/shm overlay 150G 10G 140G 7% /var/lib/docker/overlay2/269e190d7572774c7c68e1b33d11d3744913e9dc55bcd95d2a610fa1410036ac/merged overlay 150G 10G 140G 7% /var/lib/docker/overlay2/753af2fd5b0d4a80fc592fd30d58666314f40b2bc532524679c1cb50bf8c863b/merged shm 64M 0 64M 0% /var/lib/docker/containers/745e022eb0250c13428ccc0cee5711d00781ecab73b5162efb1feba31873691b/mounts/shm overlay 150G 10G 140G 7% /var/lib/docker/overlay2/c429b395aeb4fa89c1d3f962659fcd3401daf66478b050978de298d072e8a070/merged shm 64M 0 64M 0% /var/lib/docker/containers/8f02998d5eaf938b574bc0786942b0e706af6ed9bce6162331ab8e665d863ac4/mounts/shm overlay 150G 10G 140G 7% /var/lib/docker/overlay2/8904325f526fa3cd547065643b5d91a524fa5500d0e1da1fdbed7cbcefefcfbe/merged overlay 150G 10G 140G 7% /var/lib/docker/overlay2/76d066655c0543fe08b4533ffe458df11a067416bf34cea2044d516ddc383791/merged tmpfs 318M 0 318M 0% /run/user/0 tmpfs 3.1G 12K 3.1G 1% /var/lib/kubelet/pods/a14eb2df-b067-46a2-99e9-e4aba955832b/volumes/kubernetes.io~projected/kube-api-access-qqjjw overlay 150G 10G 140G 7% /var/lib/docker/overlay2/7767f584dd56da2abf00246a80fc672de6b42f9254bbcc287e2018f507c6f9e3/merged shm 64M 0 64M 0% /var/lib/docker/containers/399881a65fdd43e1285e0fa5999f49e5935258cf28c79320d0358d8211449b03/mounts/shm overlay 150G 10G 140G 7% /var/lib/docker/overlay2/cfd2cad23e6b790f5c41bb61ed9b474534623e7fe47d593375c5ab44bc2505df/merged tmpfs 3.1G 0 3.1G 0% /var/lib/kubelet/pods/be82f8c8-deb7-4613-a9ae-26c29a478e09/volumes/kubernetes.io~secret/kubernetes-dashboard-certs tmpfs 3.1G 12K 3.1G 1% /var/lib/kubelet/pods/be82f8c8-deb7-4613-a9ae-26c29a478e09/volumes/kubernetes.io~projected/kube-api-access-8jlj7 tmpfs 3.1G 12K 3.1G 1% /var/lib/kubelet/pods/23138c5c-1af0-47cf-bae3-96176987cdcf/volumes/kubernetes.io~projected/kube-api-access-m7tn5 overlay 150G 10G 140G 7% /var/lib/docker/overlay2/120df040da0b33e2ca103484488de82c77ba1a7035072cba17369abdb9c11cf5/merged overlay 150G 10G 140G 7% /var/lib/docker/overlay2/100d7769672fa6f0094af996497671dafda20c15b2b4d7cf6aa19275e48a2b75/merged shm 64M 0 64M 0% /var/lib/docker/containers/14542965702ed9d933fd27be54fc20104117d3b9590efc96e452f0edef4f5c82/mounts/shm shm 64M 0 64M 0% /var/lib/docker/containers/b3ba89290656559ea0a7b1d58f0c107c876136dee65bd069ee0f88879d48c7ec/mounts/shm overlay 150G 10G 140G 7% /var/lib/docker/overlay2/79ff92c12ad8392bffd74e1b495b53d390ac11a3fbf5d738c26619e8eb371473/merged overlay 150G 10G 140G 7% /var/lib/docker/overlay2/284d770969fb28dd6e1530643a072a90dab620ebe2477c758eb63cd5feb7defa/merged ------------------------------------

function disk_io() { #分区挂载信息 disk=$(df -h) # 磁盘总数 disk_total=$(vmstat -D | awk 'NR==1{print $1}') # 分区总数 disk_sub=$(vmstat -D | awk 'NR==2{print $1}') #磁盘分区信息 lsblk_=$(lsblk -n) #写入磁盘的总块数 bo=$(vmstat 1 1 | awk 'NR==3{print $10}') #从磁盘读出的块数 bi=$(vmstat 1 1 | awk 'NR==3{print $9}') #每秒写磁盘块的速率 wa=$(vmstat 1 1 | awk 'NR==3{print $16}') echo -e "\n\033[32m################## 磁盘IO 相关 ############\033[0m\n" echo -e "\033[32m------------------------------------\033[0m" echo -e "|磁盘总数:\033[31m$disk_total \033[0m" echo -e "\033[32m------------------------------------\033[0m" echo -e "|分区总数:\033[31m$disk_sub \033[0m" echo -e "\033[32m------------------------------------\033[0m" echo -e "|磁盘分区信息:" echo -e "\033[31m$lsblk_ \033[0m" echo -e "\033[32m------------------------------------\033[0m" echo -e "|写入磁盘的总块数:\033[31m$bo \033[0m" echo -e "\033[32m------------------------------------\033[0m" echo -e "|从磁盘读出的块数:\033[31m$bi \033[0m" echo -e "\033[32m------------------------------------\033[0m" echo -e "|每秒写磁盘块的速率:\033[31m$wa \033[0m" echo -e "\033[32m------------------------------------\033[0m" echo -e "|分区挂载信息:" echo -e "\033[31m$disk \033[0m" echo -e "\033[32m------------------------------------\033[0m" }

进程相关信息

进程相关信息包括：

当前进程数量

用户的最大进程数

内核设置的最大进程数

################## 进程相关 ############ ------------------------------------ |进程数量:233 ------------------------------------ |用户的最大进程数:12641 ------------------------------------ |内核设置的最大进程数:131072 ------------------------------------

对应的脚本中的函数

function procs() { #进程数量 procs=$(ps aux | wc -l) #用户的最大进程数 ulimit_=$(ulimit -u) #内核设置的最大进程数 pid_max=$(sysctl kernel.pid_max | awk '{print $3}') echo -e "\n\033[32m################## 进程相关 ############\033[0m\n" echo -e "\033[32m------------------------------------\033[0m" echo -e "|进程数量:\033[31m$procs \033[0m" echo -e "\033[32m------------------------------------\033[0m" echo -e "|用户的最大进程数:\033[31m$ulimit_ \033[0m" echo -e "\033[32m------------------------------------\033[0m" echo -e "|内核设置的最大进程数:\033[31m$pid_max \033[0m" echo -e "\033[32m------------------------------------\033[0m" }

网络相关信息

网络相关信息包括：

本地IP地址列表

获取网卡流量信息

获取暴露端口信息

################## 网络相关 ############ |本地IP地址列表: 127.0.0.1/8 192.168.26.81/24 172.17.0.1/16 10.244.88.64/32 ------------------------------------ ------------------------------------ |获取网卡流量信息: 网卡名称入站数据流量(bytes) 出站数据流量(bytes) ens32: 40109203 809148 cali86e7ca9e9c2: 0 438 cali13a4549bf1e: 235243 266076 cali5a282a7bbb0: 454162 485452 cali12cf25006b5: 453448 484697 cali45e02b0b21e: 1175199 666637 lo: 152957840 152957840 calicb34164ec79: 216323 1326677 tunl0: 0 0 docker0: 0 0 ------------------------------------ |获取暴露端口信息: Netid State Recv-Q Send-Q Local Address:Port Peer Address:Port udp UNCONN 0 0 *:60036 *:* users:(("rpc.statd",pid=974,fd=8)) udp UNCONN 0 0 *:710 *:* users:(("rpcbind",pid=564,fd=7)) udp UNCONN 0 0 127.0.0.1:726 *:* users:(("rpc.statd",pid=974,fd=5)) udp UNCONN 0 0 *:56425 *:* udp UNCONN 0 0 *:20048 *:* users:(("rpc.mountd",pid=975,fd=7)) udp UNCONN 0 0 192.168.26.81:7946 *:* users:(("speaker",pid=3278,fd=9)) udp UNCONN 0 0 *:2049 *:* udp UNCONN 0 0 *:111 *:* users:(("rpcbind",pid=564,fd=6)) udp UNCONN 0 0 127.0.0.1:323 *:* users:(("chronyd",pid=574,fd=1)) udp UNCONN 0 0 :::710 :::* users:(("rpcbind",pid=564,fd=10)) udp UNCONN 0 0 :::38016 :::* users:(("rpc.statd",pid=974,fd=10)) udp UNCONN 0 0 :::20048 :::* users:(("rpc.mountd",pid=975,fd=9)) udp UNCONN 0 0 :::2049 :::* udp UNCONN 0 0 :::111 :::* users:(("rpcbind",pid=564,fd=9)) udp UNCONN 0 0 :::59526 :::* udp UNCONN 0 0 ::1:323 :::* users:(("chronyd",pid=574,fd=2)) tcp LISTEN 0 128 127.0.0.1:9099 *:* users:(("calico-node",pid=4355,fd=8)) tcp LISTEN 0 128 192.168.26.81:2379 *:* users:(("etcd",pid=2138,fd=9)) tcp LISTEN 0 128 127.0.0.1:2379 *:* users:(("etcd",pid=2138,fd=8)) .......

对应的脚本中的函数

function network() { #获取网卡流量信息,接收|发送的数据流量,单位为字节(bytes) net_monitor=$(cat /proc/net/dev | tail -n +3 | awk 'BEGIN{ print "网卡名称入站数据流量(bytes) 出站数据流量(bytes)"} {print $1,$2,$10}' | column -t) #获取暴露端口信息 ip_port=$(ss -ntulpa) #本地IP地址列表 localip=$(ip a s | awk '/inet /{print $2}' ) echo -e "\n\033[32m################## 网络相关 ############\033[0m\n" echo -e "|本地IP地址列表:" echo -e "\033[31m$localip \033[0m" echo -e "\033[32m------------------------------------\033[0m" echo -e "|获取网卡流量信息:" echo -e "\033[31m$net_monitor \033[0m" echo -e "\033[32m------------------------------------\033[0m" echo -e "|获取暴露端口信息:" echo -e "\033[31m$ip_port \033[0m" echo -e "\033[32m------------------------------------\033[0m" }

完整的脚本

#!/bin/bash #@File : shell.sh #@Time : 2022/01/20 15:48:39 #@Author : Li Ruilong #@Version : 1.0 #@Desc : SPN 系统维护脚本 #@Contact : 1224965096@qq.com echo " ___ ___ ___ / /\ / /\ /__/\ / /:/_ / /::\ \ \:\ / /:/ /\ / /:/\:\ \ \:\ / /:/ /::\ / /:/~/:/ _____\__\:\ /__/:/ /:/\:\ /__/:/ /:/ /__/::::::::\ \ \:\/:/~/:/ \ \:\/:/ \ \:\~~\~~\/ \ \::/ /:/ \ \::/ \ \:\ \__\/ /:/ \ \:\ \ \:\ /__/:/ \ \:\ \ \:\ \__\/ \__\/ \__\/ " echo "SPN 日常巡查脚本输出" # 清理屏幕 clear function bash_os() { # "系统基础信息" #内核信息 kernel=$(uname -r) #操作系统版本 release=$(cat /etc/redhat-release) #主机名称 hostname=$HOSTNAME #当前时间及运行时间 dateload=$(uptime | awk -F "," '{print $1}') # 当前登录用户数 users=$(uptime | awk -F "," '{print $2}') echo -e "\n\033[32m############## 系统基础信息 #######\033[0m\n" echo -e "\033[32m------------------------------------\033[0m" echo -e "|内核信息:\033[31m $kernel \033[0m" echo -e "\033[32m------------------------------------\033[0m" echo -e "|操作系统版本:\033[31m $release \033[0m" echo -e "\033[32m------------------------------------\033[0m" echo -e "|当前时间及运行时间:\033[31m $dateload \033[0m" echo -e "\033[32m------------------------------------\033[0m" echo -e "|当前登录用户数:\033[31m $users \033[0m" echo -e "\033[32m------------------------------------\033[0m" } function memory() { # 内存相关数据统计`free -m` #总内存容量 mem_total=$(free -m | awk '/Mem/{printf "%.2fG", $2/1024}') # 用户程序占用内存量 mem_user=$(free -m | awk '/Mem/{printf "%.2fG", $3/1024}') # 多进程共享占用内存量 mem_shared=$(free -m | awk '/Mem/{printf "%.2fG", $5/1024}') #缓存占用内存量 mem_buff_cache=$(free -m | awk '/Mem/{printf "%.fMB", $(NF-1)}') #空闲内存容量 mem_free=$(free -m | awk '/Mem/{printf "%.2fG", $4/1024 }') # 剩余可用内存容量 mem_available=$(free -m | awk 'NR==2{printf "%.2fG",$NF/1024}') # 可用内存使用占比 mem_percentage=$(free -m | awk '/Mem/{printf "%.2f", $NF/$2*100}') #总的交换分区容量 swap_total=$(free -m | awk '/Swap/{printf "%.2fG", $2/1024}') #用户使用的交换分区容量 swap_user=$(free -m | awk '/Swap/{printf "%.2fG",$3/1024}') #剩余交换分区容量 swap_free=$(free -m | awk '/Swap/{printf "%.2fG",$4/1024}') #可用交换分区占比 swap_percentage=$(free -m | awk '/Swap/{printf "%.2f",$4/$2*100}') #占用内存资源最多的10个进程列表 top_proc_mem=$(ps --no-headers -eo rss,args | sort -k1 -n -r | head -10) echo -e "\n\033[32m################## 内存 ############\033[0m\n" echo -e "\033[32m------------------------------------\033[0m" echo -e "|总内存容量:\033[31m $mem_total \033[0m" echo -e "\033[32m------------------------------------\033[0m" echo -e "|用户程序内存量:\033[31m $mem_user \033[0m" echo -e "\033[32m------------------------------------\033[0m" echo -e "|多进程共享内存量:\033[31m $mem_shared \033[0m" echo -e "\033[32m------------------------------------\033[0m" echo -e "|缓存占用内存量:\033[31m $mem_buff_cache \033[0m" echo -e "\033[32m------------------------------------\033[0m" echo -e "|空闲内存容量:\033[31m $mem_free \033[0m" echo -e "\033[32m------------------------------------\033[0m" echo -e "|剩余可用内存容量:\033[31m $mem_available \033[0m" echo -e "\033[32m------------------------------------\033[0m" echo -e "|可用内存百分比：\033[31m $mem_percentage% \033[0m" echo -e "\033[32m------------------------------------\033[0m" echo -e "\033[32m############## 交换分区 #############\033[0m\n" echo -e "\033[32m------------------------------------\033[0m" echo -e "总的交换分区容量：\033[31m $swap_total \033[0m" echo -e "\033[32m------------------------------------\033[0m" echo -e "|用户使用的交换分区容量：\033[31m $swap_user \033[0m" echo -e "\033[32m------------------------------------\033[0m" echo -e "|剩余交换分区容量：\033[31m ${swap_free}" echo -e "\033[32m------------------------------------\033[0m" if [ $(free -m | awk '/Swap/{print $2}') -ne 0 ]; then echo -e "|可用交换分区占比：\033[31m $swap_percentage% \033[0m" echo -e "\033[32m------------------------------------\033[0m" fi echo -e "|占用内存资源最多的10个进程列表:" echo -e "\033[31m$top_proc_mem% \033[0m" echo -e "\033[32m------------------------------------\033[0m" } function cpu() { #CPU型号 cpu_info=$(LANG=C lscpu | awk -F: '/Model name/ {print $2}') #CPU内核数量 cpu_core=$(awk '/processor/{core++} END{print core}' /proc/cpuinfo) #CPU最近1/5/15分钟的平均负载 load1515=$(uptime | sed 's/,/ /g' | awk '{for(i=NF-2;i<=NF;i++)print $i }' | xargs) #发生中断数量 irq=$(vmstat 1 1 | awk 'NR==3{print $11}') #上下文切换数量 cs=$(vmstat 1 1 | awk 'NR==3{print $12}') #占用CPU资源最多的10个进程列表 top_proc_cpu=$(ps --no-headers -eo %cpu,args | sort -k1 -n -r | head -10) echo -e "\n\033[32m################## CPU 相关 ############\033[0m\n" echo -e "\033[32m------------------------------------\033[0m" echo -e "|CPU型号:\033[31m$cpu_info \033[0m" echo -e "\033[32m------------------------------------\033[0m" echo -e "|CPU内核数量:\033[31m$cpu_core \033[0m" echo -e "\033[32m------------------------------------\033[0m" echo -e "|CPU最近1/5/15分钟的平均负载:\033[31m$load1515 \033[0m" echo -e "\033[32m------------------------------------\033[0m" echo -e "|CPU中断数量:\033[31m$irq \033[0m" echo -e "\033[32m------------------------------------\033[0m" echo -e "|上下文切换数量:\033[31m$cs \033[0m" echo -e "\033[32m------------------------------------\033[0m" echo -e "|占用CPU资源最多的10个进程列表:" echo -e "\033[31m$top_proc_cpu \033[0m" echo -e "\033[32m------------------------------------\033[0m" } function disk_io() { #分区挂载信息 disk=$(df -h) # 磁盘总数 disk_total=$(vmstat -D | awk 'NR==1{print $1}') # 分区总数 disk_sub=$(vmstat -D | awk 'NR==2{print $1}') #磁盘分区信息 lsblk_=$(lsblk -n) #写入磁盘的总块数 bo=$(vmstat 1 1 | awk 'NR==3{print $10}') #从磁盘读出的块数 bi=$(vmstat 1 1 | awk 'NR==3{print $9}') #每秒写磁盘块的速率 wa=$(vmstat 1 1 | awk 'NR==3{print $16}') echo -e "\n\033[32m################## 磁盘IO 相关 ############\033[0m\n" echo -e "\033[32m------------------------------------\033[0m" echo -e "|磁盘总数:\033[31m$disk_total \033[0m" echo -e "\033[32m------------------------------------\033[0m" echo -e "|分区总数:\033[31m$disk_sub \033[0m" echo -e "\033[32m------------------------------------\033[0m" echo -e "|磁盘分区信息:" echo -e "\033[31m$lsblk_ \033[0m" echo -e "\033[32m------------------------------------\033[0m" echo -e "|写入磁盘的总块数:\033[31m$bo \033[0m" echo -e "\033[32m------------------------------------\033[0m" echo -e "|从磁盘读出的块数:\033[31m$bi \033[0m" echo -e "\033[32m------------------------------------\033[0m" echo -e "|每秒写磁盘块的速率:\033[31m$wa \033[0m" echo -e "\033[32m------------------------------------\033[0m" echo -e "|分区挂载信息:" echo -e "\033[31m$disk \033[0m" echo -e "\033[32m------------------------------------\033[0m" } function procs() { #进程数量 procs=$(ps aux | wc -l) #用户的最大进程数 ulimit_=$(ulimit -u) #内核设置的最大进程数 pid_max=$(sysctl kernel.pid_max | awk '{print $3}') echo -e "\n\033[32m################## 进程相关 ############\033[0m\n" echo -e "\033[32m------------------------------------\033[0m" echo -e "|进程数量:\033[31m$procs \033[0m" echo -e "\033[32m------------------------------------\033[0m" echo -e "|用户的最大进程数:\033[31m$ulimit_ \033[0m" echo -e "\033[32m------------------------------------\033[0m" echo -e "|内核设置的最大进程数:\033[31m$pid_max \033[0m" echo -e "\033[32m------------------------------------\033[0m" } function network() { #获取网卡流量信息,接收|发送的数据流量,单位为字节(bytes) net_monitor=$(cat /proc/net/dev | tail -n +3 | awk 'BEGIN{ print "网卡名称入站数据流量(bytes) 出站数据流量(bytes)"} {print $1,$2,$10}' | column -t) #获取暴露端口信息 ip_port=$(ss -ntulpa) #本地IP地址列表 localip=$(ip a s | awk '/inet /{print $2}' ) echo -e "\n\033[32m################## 网络相关 ############\033[0m\n" echo -e "|本地IP地址列表:" echo -e "\033[31m$localip \033[0m" echo -e "\033[32m------------------------------------\033[0m" echo -e "|获取网卡流量信息:" echo -e "\033[31m$net_monitor \033[0m" echo -e "\033[32m------------------------------------\033[0m" echo -e "|获取暴露端口信息:" echo -e "\033[31m$ip_port \033[0m" echo -e "\033[32m------------------------------------\033[0m" } case $1 in all) bash_os memory cpu disk_io procs network ;; bash_os) bash_os ;; memory) memory ;; cpu) cpu ;; disk_io) disk_io ;; procs) procs ;; network) network ;; *) echo "Usage: bash_os|memory|cup|disk_io|procs|network|all" ;; esac

Linux 运维

"(8.41.6+0.0034)2*1.25+(8.41.6+0.00342)21.25

672 2022-05-28

一个 轻量的Linux运维监控脚本

函数evaluate不识别公式中的中括号怎么办（没有evaluate函数）

"(8.41.6+0.0034)2*1.25+(8.41.6+0.00342)21.25

一个数的每个数字，单独显示在每一个单元格中，如图把黑色的数显示成红色的样子

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