Docker 部署 Prometheus的安裝詳細(xì)教程
更新時(shí)間：2021年08月17日 10:37:45 作者：weixin_46837396
這篇文章主要介紹了Docker 部署 Prometheus及安裝方法，本文給大家介紹的非常詳細(xì)，對(duì)大家的學(xué)習(xí)或工作具有一定的參考借鑒價(jià)值,需要的朋友可以參考下
Docker 部署 Prometheus 說(shuō)明：
監(jiān)控端安裝：
Prometheus Server(普羅米修斯監(jiān)控主服務(wù)器 )
Node Exporter (收集Host硬件和操作系統(tǒng)信息)
cAdvisor (負(fù)責(zé)收集Host上運(yùn)行的容器信息)
Grafana (展示普羅米修斯監(jiān)控界面）
被監(jiān)控安裝：
Node Exporter (收集Host硬件和操作系統(tǒng)信息)
cAdvisor (負(fù)責(zé)收集Host上運(yùn)行的容器信息)
1.安裝Node Exporter
- 所有服務(wù)器安裝
- Node Exporter 收集系統(tǒng)信息，用于監(jiān)控CPU、內(nèi)存、磁盤使用率、磁盤讀寫等系統(tǒng)信息
- –net=host，這樣 Prometheus Server 可以直接與 Node Exporter 通信
docker run -d -p 9100:9100 \ -v "/proc:/host/proc" \ -v "/sys:/host/sys" \ -v "/:/rootfs" \ -v "/etc/localtime:/etc/localtime" \ --net=host \ prom/node-exporter \ --path.procfs /host/proc \ --path.sysfs /host/sys \ --collector.filesystem.ignored-mount-points "^/(sys|proc|dev|host|etc)($|/)" [root@k8s-m1 ~]# docker ps|grep exporter ee30add8d207 prom/node-exporter "/bin/node_exporter …" About a minute ago Up About a minute condescending_shirley
2.安裝cAdvisor
- 所有服務(wù)器安裝
- cAdvisor 收集docker信息，用于展示docker的cpu、內(nèi)存、上傳下載等信息
- –net=host，這樣 Prometheus Server 可以直接與 cAdvisor 通信
docker run -d \ -v "/etc/localtime:/etc/localtime" \ --volume=/:/rootfs:ro \ --volume=/var/run:/var/run:rw \ --volume=/sys:/sys:ro \ --volume=/var/lib/docker/:/var/lib/docker:ro \ --volume=/dev/disk/:/dev/disk:ro \ --publish=18104:8080 \ --detach=true \ --name=cadvisor \ --privileged=true \ google/cadvisor:latest [root@k8s-m1 ~]# docker ps|grep cadvisor cf6af6118055 google/cadvisor:latest "/usr/bin/cadvisor -…" 38 seconds ago Up 37 seconds 0.0.0.0:18104->8080/tcp cadvisor
可以進(jìn)入容器查看： [root@agent ~]# sudo docker exec -it 容器id /bin/sh
3.安裝 Prometheus Server
監(jiān)控端安裝
1）編輯配置文件
- 首先在本地創(chuàng)建 prometheus.yml 這是普羅米修斯的配置文件
- 將下方內(nèi)容寫入到文件中
- 將監(jiān)聽的地址改為自己本機(jī)地址
# my global config
global:
scrape_interval: 15s # Set the scrape interval to every 15 seconds. Default is every 1 minute.
evaluation_interval: 15s # Evaluate rules every 15 seconds. The default is every 1 minute.
# scrape_timeout is set to the global default (10s).
# Alertmanager configuration
alerting:
alertmanagers:
- static_configs:
- targets:
# - alertmanager:9093
# Load rules once and periodically evaluate them according to the global 'evaluation_interval'.
rule_files:
# - "first_rules.yml"
# - "second_rules.yml"
# A scrape configuration containing exactly one endpoint to scrape:
# Here it's Prometheus itself.
scrape_configs:
# The job name is added as a label `job=<job_name>` to any timeseries scraped from this config.
- job_name: 'prometheus'
# metrics_path defaults to '/metrics'
# scheme defaults to 'http'.
static_configs:
#監(jiān)聽的地址
- targets: ['localhost:9090','172.23.0.241:8088','172.23.0.241:9090']
2）啟動(dòng)容器
1> prometheus.yml配置文件
prometheus.yml內(nèi)需配置外網(wǎng)ip，內(nèi)網(wǎng)ip除了本機(jī)，在grafana識(shí)別不到！
# my global confi
global:
scrape_interval: 15s # Set the scrape interval to every 15 seconds. Default is every 1 minute.
evaluation_interval: 15s # Evaluate rules every 15 seconds. The default is every 1 minute.
# scrape_timeout is set to the global default (10s).
# Alertmanager configuration
alerting:
alertmanagers:
- static_configs:
- targets:
# - alertmanager:9093
# Load rules once and periodically evaluate them according to the global 'evaluation_interval'.
rule_files:
# - "first_rules.yml"
# - "second_rules.yml"
# A scrape configuration containing exactly one endpoint to scrape:
# Here it's Prometheus itself.
scrape_configs:
# The job name is added as a label `job=<job_name>` to any timeseries scraped from this config.
- job_name: 'prometheus'
# metrics_path defaults to '/metrics'
# scheme defaults to 'http'.
static_configs:
#監(jiān)聽的地址（此處為服務(wù)器內(nèi)網(wǎng)ip）
- targets: ['10.27.158.33:9090','10.27.158.33:9100','10.27.158.33:18104']
- targets: ['10.29.46.54:9100','10.29.46.54:18104']
- targets: ['10.27.163.172:9100','10.27.163.172:18104']
# - job_name: 'GitLab'
# metrics_path: '/-/metrics'
# static_configs:
# - targets: ['172.23.0.241:10101']
- job_name: 'jenkins'
metrics_path: '/prometheus/'
scheme: http
bearer_token: bearer_token
static_configs:
- targets: ['172.23.0.242:8080']
- job_name: "Nginx"
metrics_path: '/status/format/prometheus'
static_configs:
- targets: ['172.23.0.242:8088']
2>啟動(dòng)命令
–net=host，這樣 Prometheus Server 可以直接與 Exporter 和 Grafana 通
docker run -d -p 9090:9090 \ -v /root/Prometheus/prometheus.yml:/etc/prometheus/prometheus.yml \ -v "/etc/localtime:/etc/localtime" \ --name prometheus \ --net=host \ prom/prometheus:latest # 當(dāng)Prometheus容器啟動(dòng)成功后訪問 # PS：服務(wù)器需開啟eth0的外網(wǎng)端口，才可用瀏覽器訪問 9090 0.0.0.0 106.15.0.11:9090
4.創(chuàng)建運(yùn)行Grafana
- 監(jiān)控服務(wù)器安裝
- 用于圖像化顯示
docker run -d -i -p 3000:3000 \ -v "/etc/localtime:/etc/localtime" \ -e "GF_SERVER_ROOT_URL=http://grafana.server.name" \ -e "GF_SECURITY_ADMIN_PASSWORD=admin8888" \ --net=host \ grafana/grafana # PS：服務(wù)器需開啟eth0的外網(wǎng)端口，才可用瀏覽器訪問：3000 0.0.0.0 Grafana啟動(dòng)后，在瀏覽器中打開 172.23.0.241:3000 登錄界面，登錄： 用戶名：admin 密碼：admin8888
1）添加普羅米修斯服務(wù)器
然后為添加好的數(shù)據(jù)源做圖形顯示
5.添加監(jiān)控模板
- 自己手工創(chuàng)建dashboard有點(diǎn)困難，可以借助開元的力量訪問 [監(jiān)控模板地址]https://grafana.com/grafana/dashboards將會(huì)看到很多用于監(jiān)控 Docker 的 Dashboard。監(jiān)控模板地址(多種監(jiān)控模板根據(jù)自己需求下載不同的模板)
- 監(jiān)控模板地址
- 有些dashboard可以下載后直接導(dǎo)入，而有些需要修改后再導(dǎo)入，需要看dashboard的overview
- 最后效果
這時(shí)候可以自己選擇編譯對(duì)應(yīng)的模板，在prometheus上取值
傳到grafana上。就可以了。挺好用的！
6.鍵值查詢
通過(guò)指標(biāo) io_namespace_http_requests_total 我們可以：
查詢應(yīng)用的請(qǐng)求總量 sum(io_namespace_http_requests_total) 查詢每秒Http請(qǐng)求量 sum(rate(io_wise2c_gateway_requests_total[5m])) 查詢當(dāng)前應(yīng)用請(qǐng)求量Top N的URI topk(10, sum(io_namespace_http_requests_total) by (path))
配置Prometheus監(jiān)控Nginx
1、需給Nginx安裝兩個(gè)模塊，才可用Prometheus來(lái)監(jiān)控：nginx-module-vts、geoip
2、思路：原來(lái)無(wú)論是編譯、還是yum裝的nginx，都需要下載同版本的tar包，基于原來(lái)安裝選項(xiàng)的基礎(chǔ)上，增加以上兩個(gè)模塊選項(xiàng)，進(jìn)行編譯安裝，來(lái)替換原來(lái)的nginx，最終將原nginx目錄的配置文件如nginx.conf文件、conf.d目錄再移動(dòng)到編譯安裝后的nignx目錄內(nèi)，最后啟動(dòng)nginx即可。
這里官方源安裝：
1）配置官方源
[root@web01 ~]# vim /etc/yum.repos.d/nginx.repo [nginx-stable] name=nginx stable repo baseurl=http://nginx.org/packages/centos/7/$basearch/ gpgcheck=1 enabled=1 gpgkey=https://nginx.org/keys/nginx_signing.key module_hotfixes=true
2）安裝依賴
yum install -y gcc gcc-c++ autoconf pcre pcre-devel make automake wget httpd-tools vim tree
3）安裝nginx
[root@web01 ~]# yum install -y nginx
4）配置nginx
[root@web01 ~]# vim /etc/nginx/nginx.conf user www;
5）啟動(dòng)服務(wù)
1.方法一：直接啟動(dòng)如果有報(bào)錯(cuò)==》重大錯(cuò)誤，80端口有占用==》查看占用端口的服務(wù)HTTPD，停掉，在重啟nginx [root@web01 ~]# systemctl start nginx 2.方法二： [root@web01 ~]# nginx
1.查看當(dāng)前Nginx安裝選項(xiàng)
[root@db01 nginx-1.12.2]# nginx -V [root@db01 nginx-1.12.2]# ./configure --prefix=/usr/share/nginx --sbin-path=/usr/sbin/nginx --modules-path=/usr/lib64/nginx/modules --conf-path=/etc/nginx/nginx.conf --error-log-path=/var/log/nginx/error.log --http-log-path=/var/log/nginx/access.log --http-client-body-temp-path=/var/lib/nginx/tmp/client_body --http-proxy-temp-path=/var/lib/nginx/tmp/proxy --http-fastcgi-temp-path=/var/lib/nginx/tmp/fastcgi --http-uwsgi-temp-path=/var/lib/nginx/tmp/uwsgi --http-scgi-temp-path=/var/lib/nginx/tmp/scgi --pid-path=/run/nginx.pid --lock-path=/run/lock/subsys/nginx --user=nginx --group=nginx --with-compat --with-debug --with-file-aio --with-google_perftools_module --with-http_addition_module --with-http_auth_request_module --with-http_dav_module --with-http_degradation_module --with-http_flv_module --with-http_gunzip_module --with-http_gzip_static_module --with-http_image_filter_module=dynamic --with-http_mp4_module --with-http_perl_module=dynamic --with-http_random_index_module --with-http_realip_module --with-http_secure_link_module --with-http_slice_module --with-http_ssl_module --with-http_stub_status_module --with-http_sub_module --with-http_v2_module --with-http_xslt_module=dynamic --with-mail=dynamic --with-mail_ssl_module --with-pcre --with-pcre-jit --with-stream=dynamic --with-stream_ssl_module --with-stream_ssl_preread_module --with-threads --with-cc-opt='-O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -m64 -mtune=generic' --with-ld-opt='-Wl,-z,relro -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -Wl,-E'
2.準(zhǔn)備模塊
# 下載、解壓新包 [root@k8s-n1 packages]# wget http://nginx.org/download/nginx-1.16.1.tar.gz [root@k8s-n1 packages]# tar xf nginx-1.16.1.tar.gz #克隆下載 nginx-module-vts 模塊 [root@k8s-n1 packages]# git clone https://github.com/vozlt/nginx-module-vts # .安裝GeoIP模塊 [root@k8s-n1 packages]# yum -y install epel-release geoip-devel
3.停止Nginx服務(wù)
# 停止nginx服務(wù) [root@k8s-n1 packages]# nginx -s stop # 備份原nginx啟動(dòng)文件 [root@k8s-n1 packages]# which nginx /usr/sbin/nginx [root@k8s-n1 packages]# mv /usr/sbin/nginx /usr/sbin/nginx.bak # 備份原nignx目錄 [root@k8s-n1 packages]# mv /etc/nginx nginx-1.12.2.bak
4.編譯安裝
1> 安裝所需依賴
編譯安裝時(shí)可能會(huì)出現(xiàn) `make: *** 沒有規(guī)則可以創(chuàng)建“default”需要的目標(biāo)“build”。 停止`的報(bào)錯(cuò)，是因?yàn)槿鄙僖蕾噷?dǎo)致 # 管他三七21，裝一波兒在進(jìn)行編譯，否則裝完依賴還得重新./configure ~ yum install -y gcc gcc++ bash-completion vim lrzsz wget expect net-tools nc nmap tree dos2unix htop iftop iotop unzip telnet sl psmisc nethogs glances bc pcre-devel zlib zlib-devel openssl openssl-devel libxml2 libxml2-dev libxslt-devel gd gd-devel perl-devel perl-ExtUtils-Embed GeoIP GeoIP-devel GeoIP-data pcre-devel
2> 編譯安裝
- 進(jìn)入剛剛解壓的nginx目錄，編譯安裝
- 基于原來(lái)安裝參數(shù)，尾部追加連個(gè)參數(shù)
–add-module=/root/packages/nginx-module-vts
–with-http_geoip_module
[root@db01 nginx-1.12.2]# ./configure --prefix=/usr/share/nginx --sbin-path=/usr/sbin/nginx --modules-path=/usr/lib64/nginx/modules --conf-path=/etc/nginx/nginx.conf --error-log-path=/var/log/nginx/error.log --http-log-path=/var/log/nginx/access.log --http-client-body-temp-path=/var/lib/nginx/tmp/client_body --http-proxy-temp-path=/var/lib/nginx/tmp/proxy --http-fastcgi-temp-path=/var/lib/nginx/tmp/fastcgi --http-uwsgi-temp-path=/var/lib/nginx/tmp/uwsgi --http-scgi-temp-path=/var/lib/nginx/tmp/scgi --pid-path=/run/nginx.pid --lock-path=/run/lock/subsys/nginx --user=nginx --group=nginx --with-compat --with-debug --with-file-aio --with-google_perftools_module --with-http_addition_module --with-http_auth_request_module --with-http_dav_module --with-http_degradation_module --with-http_flv_module --with-http_gunzip_module --with-http_gzip_static_module --with-http_image_filter_module=dynamic --with-http_mp4_module --with-http_perl_module=dynamic --with-http_random_index_module --with-http_realip_module --with-http_secure_link_module --with-http_slice_module --with-http_ssl_module --with-http_stub_status_module --with-http_sub_module --with-http_v2_module --with-http_xslt_module=dynamic --with-mail=dynamic --with-mail_ssl_module --with-pcre --with-pcre-jit --with-stream=dynamic --with-stream_ssl_module --with-stream_ssl_preread_module --with-threads --with-cc-opt='-O2 -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector-strong --param=ssp-buffer-size=4 -grecord-gcc-switches -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -m64 -mtune=generic' --with-ld-opt='-Wl,-z,relro -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -Wl,-E' --add-module=/root/package/nginx-module-vts --with-http_geoip_module
# 編譯安裝 # -j 多核編譯（配置低的不建議使用此參數(shù)，會(huì)卡住~） [root@k8s-n1 nginx-1.12.2]# make -j && make install
5.配置Nginx
[root@k8s-n1 packages]# cp -r nginx-1.12.2.bak/conf.d/ /etc/nginx/ [root@k8s-n1 packages]# cp -r nginx-1.12.2.bak/nginx.conf /etc/nginx/ [root@k8s-n1 packages]# rm -f /etc/nginx/conf.d/default.conf
配置Nginx配置文件
http層
server層
···
http {
···
include /etc/nginx/conf.d/*.conf;
##################### 1.http層：添加三行配置 #####################
vhost_traffic_status_zone;
vhost_traffic_status_filter_by_host on;
geoip_country /usr/share/GeoIP/GeoIP.dat;
##################### 2.server層：指定server層端口號(hào)，建議8088端口，不沖突直接復(fù)制粘貼即可#####################
server {
listen 8088;
server_name localhost;
# 以下vhost配置寫在此location內(nèi)
location /status {
vhost_traffic_status on; # 流量狀態(tài)，默認(rèn)即為on，可不寫此行
vhost_traffic_status_display;
vhost_traffic_status_display_format html;
vhost_traffic_status_filter_by_set_key $uri uri::$server_name; #每個(gè)uri訪問量
vhost_traffic_status_filter_by_set_key $geoip_country_code country::$server_name; #不同國(guó)家/區(qū)域請(qǐng)求量
vhost_traffic_status_filter_by_set_key $status $server_name; #http code統(tǒng)計(jì)
vhost_traffic_status_filter_by_set_key $upstream_addr upstream::backend; #后端>轉(zhuǎn)發(fā)統(tǒng)計(jì)
vhost_traffic_status_filter_by_set_key $remote_port client::ports::$server_name; #請(qǐng)求端口統(tǒng)計(jì)
vhost_traffic_status_filter_by_set_key $remote_addr client::addr::$server_name; #請(qǐng)求IP統(tǒng)計(jì)
location ~ ^/storage/(.+)/.*$ {
set $volume $1;
vhost_traffic_status_filter_by_set_key $volume storage::$server_name; #請(qǐng)求路徑統(tǒng)計(jì)
}
}
}
##################### server層：可新建一個(gè)server，或在原有的不打緊的配置上修改也可以#####################
}
6.啟動(dòng)Nginx
[root@k8s-n1 packages]# nginx [root@k8s-n1 packages]# netstat -lntp|grep nginx tcp 0 0 0.0.0.0:80 0.0.0.0:* LISTEN 62214/nginx: master tcp 0 0 0.0.0.0:8088 0.0.0.0:* LISTEN 62214/nginx: master 瀏覽器訪問： 172.23.0.243:80 # nginx 默認(rèn)官方頁(yè)面 172.23.0.243:8088/status # nignx 監(jiān)控項(xiàng)頁(yè)面
7.使用Prometheus監(jiān)控
- prometheus服務(wù)端配置prometheus.yml，并重啟prometheus容器
- metrics_path：定義接口后綴類型，默認(rèn)為/metrics
- 即我們輸入ip+端口后，瀏覽器會(huì)自動(dòng)追加/metrics后綴
[root@k8s-m1 ~]# vim prometheus.yml
···
scrape_configs:
- job_name: "Nginx"
metrics_path: '/status/format/prometheus'
static_configs:
- targets: ['172.23.0.243:8088']
···
[root@k8s-m1 ~]# docker restart prometheus
# 此時(shí)進(jìn)入prometheus管理頁(yè)面，則能查詢nginx的監(jiān)控項(xiàng)
8.各個(gè)監(jiān)控項(xiàng)的含義
Nginx-module-vts提供了多種監(jiān)控項(xiàng)，了解監(jiān)控項(xiàng)含義，有助于幫助自己生成需要的圖表
# HELP nginx_vts_info Nginx info
# TYPE nginx_vts_info gauge
nginx_vts_info{hostname="hbhly_21_205",version="1.16.1"} 1
# HELP nginx_vts_start_time_seconds Nginx start time
# TYPE nginx_vts_start_time_seconds gauge
nginx_vts_start_time_seconds 1584268136.439
# HELP nginx_vts_main_connections Nginx connections
# TYPE nginx_vts_main_connections gauge
# 區(qū)分狀態(tài)的nginx連接數(shù)
nginx_vts_main_connections{status="accepted"} 9271
nginx_vts_main_connections{status="active"} 7
nginx_vts_main_connections{status="handled"} 9271
nginx_vts_main_connections{status="reading"} 0
nginx_vts_main_connections{status="requests"} 438850
nginx_vts_main_connections{status="waiting"} 6
nginx_vts_main_connections{status="writing"} 1
# HELP nginx_vts_main_shm_usage_bytes Shared memory [ngx_http_vhost_traffic_status] info
# TYPE nginx_vts_main_shm_usage_bytes gauge
# 內(nèi)存使用量
nginx_vts_main_shm_usage_bytes{shared="max_size"} 1048575
nginx_vts_main_shm_usage_bytes{shared="used_size"} 24689
nginx_vts_main_shm_usage_bytes{shared="used_node"} 7
# HELP nginx_vts_server_bytes_total The request/response bytes
# TYPE nginx_vts_server_bytes_total counter
# HELP nginx_vts_server_requests_total The requests counter
# TYPE nginx_vts_server_requests_total counter
# HELP nginx_vts_server_request_seconds_total The request processing time in seconds
# TYPE nginx_vts_server_request_seconds_total counter
# HELP nginx_vts_server_request_seconds The average of request processing times in seconds
# TYPE nginx_vts_server_request_seconds gauge
# HELP nginx_vts_server_request_duration_seconds The histogram of request processing time
# TYPE nginx_vts_server_request_duration_seconds histogram
# HELP nginx_vts_server_cache_total The requests cache counter
# TYPE nginx_vts_server_cache_total counter
# 分Host的進(jìn)出流量
nginx_vts_server_bytes_total{host="10.160.21.205",direction="in"} 22921464
nginx_vts_server_bytes_total{host="10.160.21.205",direction="out"} 1098196005
# 分狀態(tài)碼的請(qǐng)求數(shù)量統(tǒng)計(jì) 1** 2** 3** 4** 5**
nginx_vts_server_requests_total{host="10.160.21.205",code="1xx"} 0
nginx_vts_server_requests_total{host="10.160.21.205",code="2xx"} 86809
nginx_vts_server_requests_total{host="10.160.21.205",code="3xx"} 0
nginx_vts_server_requests_total{host="10.160.21.205",code="4xx"} 2
nginx_vts_server_requests_total{host="10.160.21.205",code="5xx"} 0
nginx_vts_server_requests_total{host="10.160.21.205",code="total"} 86811
# 響應(yīng)時(shí)間
nginx_vts_server_request_seconds_total{host="10.160.21.205"} 0.000
nginx_vts_server_request_seconds{host="10.160.21.205"} 0.000
# 分狀態(tài)的緩存的統(tǒng)計(jì)
nginx_vts_server_cache_total{host="10.160.21.205",status="miss"} 0
nginx_vts_server_cache_total{host="10.160.21.205",status="bypass"} 0
nginx_vts_server_cache_total{host="10.160.21.205",status="expired"} 0
nginx_vts_server_cache_total{host="10.160.21.205",status="stale"} 0
nginx_vts_server_cache_total{host="10.160.21.205",status="updating"} 0
nginx_vts_server_cache_total{host="10.160.21.205",status="revalidated"} 0
nginx_vts_server_cache_total{host="10.160.21.205",status="hit"} 0
nginx_vts_server_cache_total{host="10.160.21.205",status="scarce"} 0
nginx_vts_server_bytes_total{host="devapi.feedback.test",direction="in"} 3044526
nginx_vts_server_bytes_total{host="devapi.feedback.test",direction="out"} 41257028
# 分狀態(tài)的連接數(shù)的統(tǒng)計(jì)
nginx_vts_server_requests_total{host="devapi.feedback.test",code="1xx"} 0
nginx_vts_server_requests_total{host="devapi.feedback.test",code="2xx"} 3983
nginx_vts_server_requests_total{host="devapi.feedback.test",code="3xx"} 0
nginx_vts_server_requests_total{host="devapi.feedback.test",code="4xx"} 24
nginx_vts_server_requests_total{host="devapi.feedback.test",code="5xx"} 11
nginx_vts_server_requests_total{host="devapi.feedback.test",code="total"} 4018
nginx_vts_server_request_seconds_total{host="devapi.feedback.test"} 327.173
nginx_vts_server_request_seconds{host="devapi.feedback.test"} 0.000
# nginx緩存計(jì)算器，精確到狀態(tài)和type
nginx_vts_server_cache_total{host="devapi.feedback.test",status="miss"} 0
nginx_vts_server_cache_total{host="devapi.feedback.test",status="bypass"} 0
nginx_vts_server_cache_total{host="devapi.feedback.test",status="expired"} 0
nginx_vts_server_cache_total{host="devapi.feedback.test",status="stale"} 0
nginx_vts_server_cache_total{host="devapi.feedback.test",status="updating"} 0
nginx_vts_server_cache_total{host="devapi.feedback.test",status="revalidated"} 0
nginx_vts_server_cache_total{host="devapi.feedback.test",status="hit"} 0
nginx_vts_server_cache_total{host="devapi.feedback.test",status="scarce"} 0
nginx_vts_server_bytes_total{host="testapi.feedback.test",direction="in"} 55553573
nginx_vts_server_bytes_total{host="testapi.feedback.test",direction="out"} 9667561188
nginx_vts_server_requests_total{host="testapi.feedback.test",code="1xx"} 0
nginx_vts_server_requests_total{host="testapi.feedback.test",code="2xx"} 347949
nginx_vts_server_requests_total{host="testapi.feedback.test",code="3xx"} 31
nginx_vts_server_requests_total{host="testapi.feedback.test",code="4xx"} 7
nginx_vts_server_requests_total{host="testapi.feedback.test",code="5xx"} 33
nginx_vts_server_requests_total{host="testapi.feedback.test",code="total"} 348020
nginx_vts_server_request_seconds_total{host="testapi.feedback.test"} 2185.177
nginx_vts_server_request_seconds{host="testapi.feedback.test"} 0.001
nginx_vts_server_cache_total{host="testapi.feedback.test",status="miss"} 0
nginx_vts_server_cache_total{host="testapi.feedback.test",status="bypass"} 0
nginx_vts_server_cache_total{host="testapi.feedback.test",status="expired"} 0
nginx_vts_server_cache_total{host="testapi.feedback.test",status="stale"} 0
nginx_vts_server_cache_total{host="testapi.feedback.test",status="updating"} 0
nginx_vts_server_cache_total{host="testapi.feedback.test",status="revalidated"} 0
nginx_vts_server_cache_total{host="testapi.feedback.test",status="hit"} 0
nginx_vts_server_cache_total{host="testapi.feedback.test",status="scarce"} 0
nginx_vts_server_bytes_total{host="*",direction="in"} 81519563
nginx_vts_server_bytes_total{host="*",direction="out"} 10807014221
# 分host請(qǐng)求數(shù)量統(tǒng)計(jì)
nginx_vts_server_requests_total{host="*",code="1xx"} 0
nginx_vts_server_requests_total{host="*",code="2xx"} 438741
nginx_vts_server_requests_total{host="*",code="3xx"} 31
nginx_vts_server_requests_total{host="*",code="4xx"} 33
nginx_vts_server_requests_total{host="*",code="5xx"} 44
nginx_vts_server_requests_total{host="*",code="total"} 438849
nginx_vts_server_request_seconds_total{host="*"} 2512.350
nginx_vts_server_request_seconds{host="*"} 0.007
# 分host緩存統(tǒng)計(jì)
nginx_vts_server_cache_total{host="*",status="miss"} 0
nginx_vts_server_cache_total{host="*",status="bypass"} 0
nginx_vts_server_cache_total{host="*",status="expired"} 0
nginx_vts_server_cache_total{host="*",status="stale"} 0
nginx_vts_server_cache_total{host="*",status="updating"} 0
nginx_vts_server_cache_total{host="*",status="revalidated"} 0
nginx_vts_server_cache_total{host="*",status="hit"} 0
nginx_vts_server_cache_total{host="*",status="scarce"} 0
# HELP nginx_vts_upstream_bytes_total The request/response bytes
# TYPE nginx_vts_upstream_bytes_total counter
# HELP nginx_vts_upstream_requests_total The upstream requests counter
# TYPE nginx_vts_upstream_requests_total counter
# HELP nginx_vts_upstream_request_seconds_total The request Processing time including upstream in seconds
# TYPE nginx_vts_upstream_request_seconds_total counter
# HELP nginx_vts_upstream_request_seconds The average of request processing times including upstream in seconds
# TYPE nginx_vts_upstream_request_seconds gauge
# HELP nginx_vts_upstream_response_seconds_total The only upstream response processing time in seconds
# TYPE nginx_vts_upstream_response_seconds_total counter
# HELP nginx_vts_upstream_response_seconds The average of only upstream response processing times in seconds
# TYPE nginx_vts_upstream_response_seconds gauge
# HELP nginx_vts_upstream_request_duration_seconds The histogram of request processing time including upstream
# TYPE nginx_vts_upstream_request_duration_seconds histogram
# HELP nginx_vts_upstream_response_duration_seconds The histogram of only upstream response processing time
# TYPE nginx_vts_upstream_response_duration_seconds histogram
# 分upstream流量統(tǒng)計(jì)
nginx_vts_upstream_bytes_total{upstream="::nogroups",backend="10.144.227.162:80",direction="in"} 12296
nginx_vts_upstream_bytes_total{upstream="::nogroups",backend="10.144.227.162:80",direction="out"} 13582924
nginx_vts_upstream_requests_total{upstream="::nogroups",backend="10.144.227.162:80",code="1xx"} 0
nginx_vts_upstream_requests_total{upstream="::nogroups",backend="10.144.227.162:80",code="2xx"} 25
nginx_vts_upstream_requests_total{upstream="::nogroups",backend="10.144.227.162:80",code="3xx"} 0
nginx_vts_upstream_requests_total{upstream="::nogroups",backend="10.144.227.162:80",code="4xx"} 0
nginx_vts_upstream_requests_total{upstream="::nogroups",backend="10.144.227.162:80",code="5xx"} 0
nginx_vts_upstream_requests_total{upstream="::nogroups",backend="10.144.227.162:80",code="total"} 25
nginx_vts_upstream_request_seconds_total{upstream="::nogroups",backend="10.144.227.162:80"} 1.483
nginx_vts_upstream_request_seconds{upstream="::nogroups",backend="10.144.227.162:80"} 0.000
nginx_vts_upstream_response_seconds_total{upstream="::nogroups",backend="10.144.227.162:80"} 1.484
nginx_vts_upstream_response_seconds{upstream="::nogroups",backend="10.144.227.162:80"} 0.000
nginx_vts_upstream_bytes_total{upstream="::nogroups",backend="10.152.218.149:80",direction="in"} 12471
nginx_vts_upstream_bytes_total{upstream="::nogroups",backend="10.152.218.149:80",direction="out"} 11790508
nginx_vts_upstream_requests_total{upstream="::nogroups",backend="10.152.218.149:80",code="1xx"} 0
nginx_vts_upstream_requests_total{upstream="::nogroups",backend="10.152.218.149:80",code="2xx"} 24
nginx_vts_upstream_requests_total{upstream="::nogroups",backend="10.152.218.149:80",code="3xx"} 0
nginx_vts_upstream_requests_total{upstream="::nogroups",backend="10.152.218.149:80",code="4xx"} 0
nginx_vts_upstream_requests_total{upstream="::nogroups",backend="10.152.218.149:80",code="5xx"} 0
nginx_vts_upstream_requests_total{upstream="::nogroups",backend="10.152.218.149:80",code="total"} 24
nginx_vts_upstream_request_seconds_total{upstream="::nogroups",backend="10.152.218.149:80"} 1.169
nginx_vts_upstream_request_seconds{upstream="::nogroups",backend="10.152.218.149:80"} 0.000
nginx_vts_upstream_response_seconds_total{upstream="::nogroups",backend="10.152.218.149:80"} 1.168
nginx_vts_upstream_response_seconds{upstream="::nogroups",backend="10.152.218.149:80"} 0.000
nginx_vts_upstream_bytes_total{upstream="::nogroups",backend="10.160.21.205:8081",direction="in"} 3036924
nginx_vts_upstream_bytes_total{upstream="::nogroups",backend="10.160.21.205:8081",direction="out"} 33355357
nginx_vts_upstream_requests_total{upstream="::nogroups",backend="10.160.21.205:8081",code="1xx"} 0
nginx_vts_upstream_requests_total{upstream="::nogroups",backend="10.160.21.205:8081",code="2xx"} 3971
nginx_vts_upstream_requests_total{upstream="::nogroups",backend="10.160.21.205:8081",code="3xx"} 0
nginx_vts_upstream_requests_total{upstream="::nogroups",backend="10.160.21.205:8081",code="4xx"} 24
nginx_vts_upstream_requests_total{upstream="::nogroups",backend="10.160.21.205:8081",code="5xx"} 11
nginx_vts_upstream_requests_total{upstream="::nogroups",backend="10.160.21.205:8081",code="total"} 4006
nginx_vts_upstream_request_seconds_total{upstream="::nogroups",backend="10.160.21.205:8081"} 326.427
nginx_vts_upstream_request_seconds{upstream="::nogroups",backend="10.160.21.205:8081"} 0.000
nginx_vts_upstream_response_seconds_total{upstream="::nogroups",backend="10.160.21.205:8081"} 300.722
nginx_vts_upstream_response_seconds{upstream="::nogroups",backend="10.160.21.205:8081"} 0.000
nginx_vts_upstream_bytes_total{upstream="::nogroups",backend="10.160.21.205:8082",direction="in"} 55536408
nginx_vts_upstream_bytes_total{upstream="::nogroups",backend="10.160.21.205:8082",direction="out"} 9650089427
nginx_vts_upstream_requests_total{upstream="::nogroups",backend="10.160.21.205:8082",code="1xx"} 0
nginx_vts_upstream_requests_total{upstream="::nogroups",backend="10.160.21.205:8082",code="2xx"} 347912
nginx_vts_upstream_requests_total{upstream="::nogroups",backend="10.160.21.205:8082",code="3xx"} 31
nginx_vts_upstream_requests_total{upstream="::nogroups",backend="10.160.21.205:8082",code="4xx"} 7
nginx_vts_upstream_requests_total{upstream="::nogroups",backend="10.160.21.205:8082",code="5xx"} 33
nginx_vts_upstream_requests_total{upstream="::nogroups",backend="10.160.21.205:8082",code="total"} 347983
nginx_vts_upstream_request_seconds_total{upstream="::nogroups",backend="10.160.21.205:8082"} 2183.271
nginx_vts_upstream_request_seconds{upstream="::nogroups",backend="10.160.21.205:8082"} 0.001
nginx_vts_upstream_response_seconds_total{upstream="::nogroups",backend="10.160.21.205:8082"} 2180.893
nginx_vts_upstream_response_seconds{upstream="::nogroups",backend="10.160.21.205:8082"} 0.001
9.Prometheus UI中Target表達(dá)式查詢
1）CAdvisor中獲取的典型監(jiān)控指標(biāo)
| 指標(biāo)名稱 | 類型 | 含義 |
|---|---|---|
| container_cpu_load_average_10s | gauge | 過(guò)去10秒內(nèi)容器CPU的平均負(fù)載 |
| container_cpu_usage_seconds_total | counter | 容器在每個(gè)CPU內(nèi)核上的累積占用時(shí)間 (單位：秒) |
| container_cpu_system_seconds_total | counter | System CPU累積占用時(shí)間（單位：秒） |
| container_cpu_user_seconds_total | counter | User CPU累積占用時(shí)間（單位：秒） |
| container_fs_usge_bytes | gauge | 容器中文件系統(tǒng)的使用量(單位：字節(jié)) |
| container_network_receive_bytes_total | counter | 容器網(wǎng)絡(luò)累計(jì)接受數(shù)據(jù)總量（單位: 字節(jié)） |
| container_network_transmit_bytes_total | counter | 容器網(wǎng)絡(luò)累計(jì)傳輸數(shù)據(jù)總量（單位: 字節(jié)） |
2）容器相關(guān)
# 容器的CPU使用率
sum(irate(container_cpu_usage_seconds_total{image!=""}[1m])) without (cpu)
# 容器內(nèi)存使用量（單位: 字節(jié)）
container_memory_usage_bytes{image!=""}
# 容器網(wǎng)絡(luò)接收量速率（單位: 字節(jié)/秒）
sum(rate(container_network_receive_bytes_total{image!=""}[1m])) without (interface)
# 容器網(wǎng)絡(luò)傳輸量速率
sum(rate(container_network_transmit_bytes_total{image!=""}[1m])) without (interface)
# 容器文件系統(tǒng)讀取速率
sum(rate(container_fs_reads_bytes_total{image!=""}[1m])) without (device)
# 容器文件系統(tǒng)寫入速率（單位: 字節(jié)/秒）
sum(rate(container_fs_writes_bytes_total{image!=""}[1m])) without (device)
3）http相關(guān)
# HTTP請(qǐng)求總數(shù) prometheus_http_requests_total # HTTP請(qǐng)求持續(xù)時(shí)間秒桶 prometheus_http_request_duration_seconds_bucket # HTTP請(qǐng)求持續(xù)時(shí)間秒數(shù)計(jì)數(shù) prometheus_http_request_duration_seconds_count # HTTP請(qǐng)求持續(xù)時(shí)間秒數(shù)之和 prometheus_http_request_duration_seconds_sum # HTTP響應(yīng)大小字節(jié) prometheus_http_response_size_bytes_bucket # HTTP響應(yīng)大小字節(jié)計(jì)數(shù)計(jì)數(shù) prometheus_http_response_size_bytes_count # HTTP響應(yīng)大小字節(jié)的總和 prometheus_http_response_size_bytes_sum
4）Nginx相關(guān)
# Nginxvts過(guò)濾字節(jié)總數(shù) nginx_vts_filter_bytes_total # Nginx VTS過(guò)濾器緩存總數(shù) nginx_vts_filter_cache_total # Nginx VTS過(guò)濾請(qǐng)求秒數(shù) nginx_vts_filter_request_seconds # Nginx VTS過(guò)濾器請(qǐng)求總秒數(shù) nginx_vts_filter_request_seconds_total # Nginx VTS過(guò)濾器請(qǐng)求總數(shù) nginx_vts_filter_requests_total # nginx信息 nginx_vts_info # Nginx VTS主連接 nginx_vts_main_connections # Nginx VTS主SHM使用字節(jié) nginx_vts_main_shm_usage_bytes # Nginx VTS服務(wù)器字節(jié)總數(shù) nginx_vts_server_bytes_total # Nginx VTS服務(wù)器緩存總數(shù) nginx_vts_server_cache_total # Nginx_vts服務(wù)器請(qǐng)求秒 nginx_vts_server_request_seconds # Nginx_vts服務(wù)器請(qǐng)求總秒數(shù) nginx_vts_server_request_seconds_total # Nginx_vts服務(wù)總請(qǐng)求數(shù) nginx_vts_server_requests_total # Nginx VTS開始時(shí)間秒數(shù) nginx_vts_start_time_seconds
10.安裝blackbox_exporter
- blackbox收集服務(wù)狀態(tài)信息，如判斷服務(wù)http請(qǐng)求是否返回200繼而報(bào)警
- blackbox_exporter是Prometheus 官方提供的 exporter 之一，可以提供 http、dns、tcp、icmp 的監(jiān)控?cái)?shù)據(jù)采集
功能：
HTTP 測(cè)試
定義 Request Header 信息
判斷 Http status / Http Respones Header / Http Body 內(nèi)容
TCP 測(cè)試
業(yè)務(wù)組件端口狀態(tài)監(jiān)聽
應(yīng)用層協(xié)議定義與監(jiān)聽
ICMP 測(cè)試
主機(jī)探活機(jī)制
POST 測(cè)試
接口聯(lián)通性
SSL 證書過(guò)期時(shí)間
# 下載、解壓
[root@11 Prometheus]# wget https://github.com/prometheus/blackbox_exporter/releases/download/v0.14.0/blackbox_exporter-0.14.0.linux-amd64.tar.gz
[root@11 Prometheus]# tar -xvf blackbox_exporter-0.14.0.linux-amd64.tar.gz
[root@11 Prometheus]# mv blackbox_exporter-0.14.0.linux-amd64 /usr/local/blackbox_exporter
# 查看安裝是否成功
[root@11 Prometheus]# /usr/local/blackbox_exporter/blackbox_exporter --version
blackbox_exporter, version 0.14.0 (branch: HEAD, revision: bba7ef76193948a333a5868a1ab38b864f7d968a)
build user: root@63d11aa5b6c6
build date: 20190315-13:32:31
go version: go1.11.5
# 加入systemd管理
[root@11 Prometheus]# cat /usr//lib/systemd/system/blackbox_exporter.service
[Unit]
Description=blackbox_exporter
[Service]
User=root
Type=simple
ExecStart=/usr/local/blackbox_exporter/blackbox_exporter --config.file=/usr/local/blackbox_exporter/blackbox.yml
Restart=on-failure
[root@11 Prometheus]#
# 啟動(dòng)
[root@11 Prometheus]# systemctl daemon-reload
[root@11 Prometheus]# systemctl enable --now blackbox_exporter
11.Docker部署nginx-module-vts模塊
由于yum安裝的nginx，默認(rèn)是沒有nginx-module-vts模塊的，需要下載對(duì)應(yīng)的nginx源碼，進(jìn)行重新編譯才行。
Docker 搭建 Consul集群（未完）
1.啟動(dòng)第一個(gè)consul服務(wù)：consul1
docker run --name consul1 -d -p 8500:8500 -p 8300:8300 -p 8301:8301 -p 8302:8302 -p 8600:8600 --restart=always consul:latest agent -server -bootstrap-expect 2 -ui -bind=0.0.0.0 -client=0.0.0.0
# 獲取 consul server1 的 ip 地址
docker inspect --format '{{ .NetworkSettings.IPAddress }}' consul1
172.17.0.2
# PS:
8500 http 端口，用于 http 接口和 web ui
8300 server rpc 端口，同一數(shù)據(jù)中心 consul server 之間通過(guò)該端口通信
8301 serf lan 端口，同一數(shù)據(jù)中心 consul client 通過(guò)該端口通信
8302 serf wan 端口，不同數(shù)據(jù)中心 consul server 通過(guò)該端口通信
8600 dns 端口，用于服務(wù)發(fā)現(xiàn)
-bbostrap-expect 2: 集群至少兩臺(tái)服務(wù)器，才能選舉集群leader
-ui：運(yùn)行 web 控制臺(tái)
-bind： 監(jiān)聽網(wǎng)口，0.0.0.0 表示所有網(wǎng)口，如果不指定默認(rèn)為127.0.0.1，則無(wú)法和容器通信
-client ： 限制某些網(wǎng)口可以訪問
2.啟動(dòng)第二個(gè)consul服務(wù)：consul2， 并加入consul1（使用join命令）
docker run -d --name consul2 -d -p 8501:8500 consul agent -server -ui -bind=0.0.0.0 -client=0.0.0.0 -join 172.17.0.2 docker run -d -p 8501:8500 --restart=always -v /XiLife/consul/data/server3:/consul/data -v /XiLife/consul/conf/server2:/consul/config -e CONSUL_BIND_INTERFACE='eth0' --privileged=true --name=consu2 consul agent -server -ui -node=consul2 -client='0.0.0.0' -datacenter=xdp_dc -data-dir /consul/data -config-dir /consul/config -join=172.17.0.2
3.啟動(dòng)第三個(gè)consul服務(wù)：consul3，并加入consul1
docker run --name consul3 -d -p 8502:8500 consul agent -server -ui -bind=0.0.0.0 -client=0.0.0.0 -join 172.17.0.2
4.查看運(yùn)行的容器（consul集群狀態(tài)）
[root@k8s-m1 consul]# docker exec -it consul1 consul members Node Address Status Type Build Protocol DC Segment 013a4a7e74d2 172.17.0.4:8301 alive server 1.10.0 2 dc1 <all> 3c118fa83d47 172.17.0.3:8301 alive server 1.10.0 2 dc1 <all> 4b5123c97c2b 172.17.0.5:8301 alive server 1.10.0 2 dc1 <all> a7d272ad157a 172.17.0.2:8301 alive server 1.10.0 2 dc1 <all>
5.服務(wù)注冊(cè)與剔除
- 接下來(lái)，我們要注冊(cè)服務(wù)到 Consul 中，可以通過(guò)其提供的 API 標(biāo)準(zhǔn)接口來(lái)添加
- 那么先注冊(cè)一個(gè)測(cè)試服務(wù)，該測(cè)試數(shù)據(jù)為本機(jī)
node-exporter服務(wù)信息，服務(wù)地址及端口為node-exporter默認(rèn)提供指標(biāo)數(shù)據(jù)的地址，執(zhí)行如下命令
# 注冊(cè)241的 node-exporter 服務(wù)信息
curl -X PUT -d '{"id": "node-exporter","name": "node-exporter-172.23.0.241","address": "172.23.0.241","port": 9100,"tags": ["prometheus"],"checks": [{"http": "http://172.23.0.241:9100/metrics", "interval": "5s"}]}' http://172.23.0.241:8500/v1/agent/service/register
# 注冊(cè)242的 node-exporter 服務(wù)信息
將上面所有IP地址改為242的即可，端口不變
如果要注銷掉某個(gè)服務(wù)，可以通過(guò)如下 API 命令操作，例如注銷上邊添加的 node-exporter 服務(wù)
curl -X PUT http://172.23.0.241:8500/v1/agent/service/deregister/node-exporter
附：升級(jí)Centos6內(nèi)核
rpm -Uvh https://hkg.mirror.rackspace.com/elrepo/kernel/el6/x86_64/RPMS/elrepo-release-6-12.el6.elrepo.noarch.rpm yum源報(bào)錯(cuò)解決：找不到鏡像源 cd /etc/yum.repos.d mv CentOS-Base.repo CentOS-Base.repo.backup wget http://mirrors.163.com/.help/CentOS6-Base-163.repo mv CentOS6-Base-163.repo CentOS-Base.repo yum clean all wget -O /etc/yum.repos.d/CentOS-Base.repo http://file.kangle.odata.cc/repo/Centos-6.repo wget -O /etc/yum.repos.d/epel.repo http://file.kangle.odata.cc/repo/epel-6.repo yum makecache
到此這篇關(guān)于Docker 部署 Prometheus的文章就介紹到這了,更多相關(guān)Docker 部署 Prometheus內(nèi)容請(qǐng)搜索腳本之家以前的文章或繼續(xù)瀏覽下面的相關(guān)文章希望大家以后多多支持腳本之家！
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