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]-[~]└─$sh shell.sh bash_osSPN 日常巡查脚本输出############## 系统基础信息 #######------------------------------------|内核信息: 3.10.0-693.el7.x86_64------------------------------------|操作系统版本: CentOS Linux release 7.4.1708 (Core)------------------------------------|当前时间及运行时间: 18:06:22 up 9 min------------------------------------|当前登录用户数: 1 user------------------------------------
对应的脚本中的函数
function bash_os() { # "系统基础信息" #内核信息 kernel=$(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.key140716 /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:3.595636 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=true94252 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 电脑 --snapshot-count=10000 --trusted-ca-file=/etc/kubernetes/pki/etcd/ca.crt90888 /usr/bin/dockerd --insecure-registry 192.168.26.56 -H fd:// --containerd=/run/containerd/containerd.sock44736 /usr/bin/containerd43584 calico-node -felix40900 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=037572 calico-node -allocate-tunnel-addrs37284 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 | 电脑 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######电脑############ 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% /devtmpfs 1.6G 0 1.6G 0% /dev/shmtmpfs 1.6G 20M 1.6G 2% /runtmpfs 1.6G 0 1.6G 0% /sys/fs/cgroupoverlay 150G 10G 140G 7% /var/lib/docker/overlay2/0370fc2d32a8fba7bcaf18a3444dd3cc61121ba573da75445473d5609e82f466/mergedshm 64M 0 64M 0% /var/lib/docker/containers/dd4b3412559057ac9b3fcff5e5a1ab861fa2290c9de927b6b92c1a56afd57468/mounts/shmoverlay 150G 10G 140G 7% /var/lib/docker/overlay2/650230f0350777c4c670d2d9a7bd1a4e83f2c391dc499889af2fb6b1306200ba/mergedshm 64M 0 64M 0% /var/lib/docker/containers/4ac13265340675dbd5122575b5df523d9711f7c282f5516c93ebddd5fb6d0cba/mounts/shmoverlay 150G 10G 140G 7% /var/lib/docker/overlay2/21acb391efe73a0608564f157a18f4805c86503dadce8a818c1ec3bb9f0bc9d3/mergedoverlay 150G 10G 140G 7% /var/lib/docker/overlay2/43c68357d19f0a42551bfe1db0f06d61ca28906d150026a60c087650b32cfd60/mergedshm 64M 0 64M 0% /var/lib/docker/containers/589dd158e86a7000180299eb4264bf69fde530b424d9e508ab8fee80dbba5d08/mounts/shmshm 64M 0 64M 0% /var/lib/docker/containers/f71b1bb09845613f21adad525e03a7fee4c9eef1b0699117d87cfa9f72de75db/mounts/shmoverlay 150G 10G 140G 7% /var/lib/docker/overlay2/46bb70a2c8944cf3fe0b179906f791f1775eb3c87d2598c8a3e7ba154f6c7e00/mergedoverlay 150G 10G 140G 7% /var/lib/docker/overlay2/1d542264230ed8d093971177f13ba90700d5b6d4c8703e89eafe3d548fcd15ab/mergedoverlay 150G 10G 140G 7% /var/lib/docker/overlay2/e5023f46fda09e5a04cf392ae0461511930a9095196c0136f0b5e78331488556/mergedoverlay 150G 10G 140G 7% /var/lib/docker/overlay2/3e06461dcde6535e1857fb32d5a6b9b7e24479fdde083c2e0a23302e747cb926/mergedtmpfs 3.1G 12K 3.1G 1% /var/lib/kubelet/pods/8dc44e6f-10c8-4336-8d17-3d7d30e068d7/volumes/kubernetes.io~projected/kube-api-access-lrqtdtmpfs 170M 12K 170M 1% /var/lib/kubelet/pods/3c16b2c9-72b8-42d2-9c56-f572f1c3d715/volumes/kubernetes.io~projected/kube-api-access-cnrsgtmpfs 3.1G 12K 3.1G 1% /var/lib/kubelet/pods/c468b66c-2c95-49b0-8081-241ae7b7ddb5/volumes/kubernetes.io~projected/kube-api-access-mlwx6tmpfs 170M 12K 170M 1% /var/lib/kubelet/pods/8628a04d-61f2-42a7-aa29-10318d5628ec/volumes/kubernetes.io~projected/kube-api-access-rqjhtoverlay 150G 10G 140G 7% /var/lib/docker/overlay2/97dbbac8525cec33bc85856090675edc8463e46960bb5b5e50347e59eeb45ffc/mergedshm 64M 0 64M 0% /var/lib/docker/containers/a1d8a8046b2e0fde29fe8b36b8621c5773a5c557a6ab7c6a6ffea1d672a87e31/mounts/shmtmpfs 3.1G 12K 3.1G 1% /var/lib/kubelet/pods/95d09836-f343-4814-8daf-f41b90a5da63/volumes/kubernetes.io~projected/kube-api-access-8zzsmoverlay 150G 10G 140G 7% /var/lib/docker/overlay2/2c9c06fb46aac0de072f2f27d6c20b9da6e9891065558341d569f9dfbfbab4ec/mergedtmpfs 3.1G 12K 3.1G 1% /var/lib/kubelet/pods/dbe168eb-be54-4248-a1ac-c98e209dd735/volumes/kubernetes.io~projected/kube-api-access-56x97shm 64M 0 64M 0% /var/lib/docker/containers/523c33b8c407e3a71150ffedb34035074bf4777f18cf26067c3c033119bb67b2/mounts/shmoverlay 150G 10G 140G 7% /var/lib/docker/overlay2/601f14c96dc128154eba3be7db81c0585b90ded24ca3f833d860dbfed57bca8e/mergedshm 64M 0 64M 0% /var/lib/docker/containers/389ca895399660bdc841974db7f01b71e38955c4eabbba9be680a2ef17ee7867/mounts/shmoverlay 150G 10G 140G 7% /var/lib/docker/overlay2/cd288d78dde65645df76d6dc1e56acada16a699412db9a0fe723d7f07dcc25b9/mergedoverlay 150G 10G 140G 7% /var/lib/docker/overlay2/49742d1a276e657bf45bd80be2f375282af29490dad15bc4c3ba99beeb9bd115/mergedoverlay 150G 10G 140G 7% /var/lib/docker/overlay2/76a1d6e77213fa534970e4a3d5e912e59f2b46e3a804bec37378fcca52e15183/mergedoverlay 150G 10G 140G 7% /var/lib/docker/overlay2/484276ff32ad852232ca4ce9c623d8fbf00ae4bd7854ac45e480cb2e9bd8b5e6/mergedshm 64M 0 64M 0% /var/lib/docker/containers/ac12271bfe6d640b98634b054d45711c12cdecc9dca5d7dff19e62d2959bf9a9/mounts/shmoverlay 150G 10G 140G 7% /var/lib/docker/overlay2/269e190d7572774c7c68e1b33d11d3744913e9dc55bcd95d2a610fa1410036ac/mergedoverlay 150G 10G 140G 7% /var/lib/docker/overlay2/753af2fd5b0d4a80fc592fd30d58666314f40b2bc532524679c1cb50bf8c863b/mergedshm 64M 0 64M 0% /var/lib/docker/containers/745e022eb0250c13428ccc0cee5711d00781ecab73b5162efb1feba31873691b/mounts/shmoverlay 150G 10G 140G 7% /var/lib/docker/overlay2/c429b395aeb4fa89c1d3f962659fcd3401daf66478b050978de298d072e8a070/mergedshm 64M 0 64M 0% /var/lib/docker/containers/8f02998d5eaf938b574bc0786942b0e706af6ed9bce6162331ab8e665d863ac4/mounts/shmoverlay 150G 10G 140G 7% /var/lib/docker/overlay2/8904325f526fa3cd547065643b5d91a524fa5500d0e1da1fdbed7cbcefefcfbe/mergedoverlay 150G 10G 140G 7% /var/lib/docker/overlay2/76d066655c0543fe08b4533ffe458df11a067416bf34cea2044d516ddc383791/mergedtmpfs 318M 0 318M 0% /run/user/0tmpfs 3.1G 12K 3.1G 1% /var/lib/kubelet/pods/a14eb2df-b067-46a2-99e9-e4aba955832b/volumes/kubernetes.io~projected/kube-api-access-qqjjwoverlay 150G 10G 140G 7% /var/lib/docker/overlay2/7767f584dd56da2abf00246a80fc672de6b42f9254bbcc287e2018f507c6f9e3/mergedshm 64M 0 64M 0% /var/lib/docker/containers/399881a65fdd43e1285e0fa5999f49e5935258cf28c79320d0358d8211449b03/mounts/shmoverlay 150G 10G 140G 7% /var/lib/docker/overlay2/cfd2cad23e6b790f5c41bb61ed9b474534623e7fe47d593375c5ab44bc2505df/mergedtmpfs 3.1G 0 3.1G 0% /var/lib/kubelet/pods/be82f8c8-deb7-4613-a9ae-26c29a478e09/volumes/kubernetes.io~secret/kubernetes-dashboard-certstmpfs 3.1G 12K 3.1G 1% /var/lib/kubelet/pods/be82f8c8-deb7-4613-a9ae-26c29a478e09/volumes/kubernetes.io~projected/kube-api-access-8jlj7tmpfs 3.1G 12K 3.1G 1% /var/lib/kubelet/pods/23138c5c-1af0-47cf-bae3-96176987cdcf/volumes/kubernetes.io~projected/kube-api-access-m7tn5overlay 150G 10G 140G 7% /var/lib/docker/overlay2/120df040da0b33e2ca103484488de82c77ba1a7035072cba17369abdb9c11cf5/mergedoverlay 150G 10G 140G 7% /var/lib/docker/overlay2/100d7769672fa6f0094af996497671dafda20c15b2b4d7cf6aa19275e48a2b75/mergedshm 64M 0 64M 0% /var/lib/docker/containers/14542965702ed9d933fd27be54fc20104117d3b9590efc96e452f0edef4f5c82/mounts/shmshm 64M 0 64M 0% /var/lib/docker/containers/b3ba89290656559ea0a7b1d58f0c107c876136dee65bd069ee0f88879d48c7ec/mounts/shmoverlay 150G 10G 140G 7% /var/lib/docker/overlay2/79ff92c12ad8392bffd74e1b495b53d390ac11a3fbf5d738c26619e8eb371473/mergedoverlay 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:127.0.0.1/8192.168.26.81/24172.17.0.1/1610.244.88.64/32------------------------------------------------------------------------|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 809148cali86e7ca9e9c2: 0 438cali13a4549bf1e: 235243 266076cali5a282a7bbb0: 454162 485452cali12cf25006b5: 453448 484697cali45e02b0b21e: 1175199 666637lo: 152957840 152957840calicb34164ec79: 216323 1326677tunl0: 0 0docker0: 0 0------------------------------------|获取暴露端口信息:Netid State Recv-Q Send-Q Local Address:Port Peer Address:Portudp 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.comecho " ___ ___ ___ / /\ / /\ /__/\ / /:/_ / /::\ \ \:\ / /:/ /\ / /:/\:\ \ \:\ / /:/ /::\ / /:/~/:/ _____\__\:\ /__/:/ /:/\:\ /__/:/ /:/ /__/::::::::\ \ \:\/:/~/:/ \ \:\/:/ \ \:\~~\~~\/ \ \::/ /:/ \ \::/ \ \:\ \__\/ /:/ \ \:\ \ \:\ /__/:/ \ \:\ \ \:\ \__\/ \__\/ \__\/"echo "SPN 日常巡查脚本输出"# 清理屏幕clearfunction 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 inall) 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
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