prometheus

介绍

Prometheus是一个开源系统监控和警报工具包最初由SoundCloud 构建。自 2012 年成立以来，许多公司和组织已经采用了 Prometheus，并且该项目具有非常活跃的开发人员和用户社区。它现在是一个独立的开源项目并独立于任何公司进行维护。为了强调这一点，并澄清该项目的治理结构，Prometheus 于 2016 年加入云原生计算基金会作为Kubernetes 之后的第二个托管项目。

官网

Overview | Prometheus

下载（建议用docker）

Download | Prometheus - Prometheus 监控系统

Download Grafana | Grafana Labs

docker部署prometheus和Grafana

部署prometheus和Grafana

接入案例

数据卷映射坑点

All in one

docker部署这些监控prometheus、grafana、node-exporter、redis-exporter、elasticsearch-exporter、opengauss-exporter、nginx-exporter、cAdvisor

注意事项

minio的监控不需要用docker部署监控，minio自己就有监控导出功能，需要在接入minio中找到mc生成token的方法，然后将token和path填入prometheus.xml中
jmx的监控需要使用javaagent的方式接入接入springboot
nginx的监控需要对本机放行监控接口
配置OpenGauss数据库连接时，需要创建监控用户
cadvisor可选镜像版本查看
minio-cluster的配置需要用mc生成
后端启动时需要以javaagent的方式启动jmx服务

docker-compose.yml.envprometheus.ymljmx_config.yaml

yml

# =====================================================
# 监控系统 Docker Compose 配置文件
# 
# 配置说明：
# - name: 项目名称，用于标识整个监控系统
# - services: 定义所有监控相关的服务
# - networks: 使用外部已存在的网络 bzl
#
# 资源限制说明：
# - Prometheus: 2G内存/1CPU - 用于时序数据存储和查询
# - Grafana: 1G内存/0.5CPU - 用于数据可视化
# - Exporters: 256M内存/0.2CPU - 用于数据采集
# - cAdvisor: 512M内存/0.5CPU - 用于容器监控
#
# 日志配置说明：
# - 主要服务(Prometheus/Grafana): 100M/3个文件
# - 其他服务: 50M/3个文件
# - 使用 json-file 驱动以支持日志轮转
# =====================================================

name: monitoring-system

services:
  # ----------------------------------------
  # Prometheus：时序数据库
  # 
  # 功能：
  # - 存储和查询监控指标数据
  # - 支持强大的查询语言PromQL
  # - 提供数据存储和告警功能
  #
  # 配置说明：
  # - 数据持久化：使用本地存储
  # - 热重载：支持配置热重载
  # - 安全性：使用nobody用户运行
  # - 资源限制：2G内存/1CPU
  # ----------------------------------------
  prometheus:
    image: prom/prometheus
    container_name: prometheus
    env_file: .env
    ports:
      - "${PROMETHEUS_PORT}:9090"  # Web界面端口映射
    volumes:
      - ./prometheus.yml:/etc/prometheus/prometheus.yml  # 主配置文件
      - ${PROMETHEUS_DATA_DIR}:/prometheus/data         # 数据持久化目录
    command:
      - "--config.file=/etc/prometheus/prometheus.yml"  # 指定配置文件路径
      - "--web.enable-lifecycle"                        # 启用热重载功能
      - "--storage.tsdb.retention.time=${PROMETHEUS_RETENTION_TIME}"  # 数据保留时间
      - "--storage.tsdb.path=/prometheus/data"                        # 数据存储路径
      - "--storage.tsdb.retention.size=${PROMETHEUS_RETENTION_SIZE}"  # 数据存储大小限制
    user: "65534:65534"  # 使用nobody用户运行，提高安全性
    deploy:
      resources:
        limits:
          memory: ${PROMETHEUS_MEMORY_LIMIT}
          cpus: '${PROMETHEUS_CPU_LIMIT}'
        reservations:
          memory: ${PROMETHEUS_MEMORY_RESERVATION}
          cpus: '${PROMETHEUS_CPU_RESERVATION}'
    healthcheck:
      test: [ "CMD", "wget", "-q", "--spider", "http://localhost:9090/-/healthy" ]
      interval: ${HEALTHCHECK_INTERVAL}
      timeout: ${HEALTHCHECK_TIMEOUT}
      retries: ${HEALTHCHECK_RETRIES}
    restart: unless-stopped
    logging:
      driver: "json-file"
      options:
        max-size: "${MAIN_SERVICE_LOG_MAX_SIZE}"
        max-file: "${MAIN_SERVICE_LOG_MAX_FILE}"
    extra_hosts:
      - "host.docker.internal:host-gateway" # 允许容器访问宿主机
    networks:
      - bzl

  # ----------------------------------------
  # Grafana：可视化平台
  #
  # 功能：
  # - 展示监控数据的Web界面
  # - 支持多种数据源和丰富的图表类型
  # - 提供告警和通知功能
  #
  # 配置说明：
  # - 安全性：禁用匿名访问和用户注册
  # - 本地化：默认中文界面
  # - 时区：使用浏览器时区
  # - 资源限制：1G内存/0.5CPU
  # ----------------------------------------
  grafana:
    image: grafana/grafana
    container_name: grafana
    env_file: .env
    ports:
      - "${GRAFANA_PORT}:3000"  # Web界面端口映射
    volumes:
      - ${GRAFANA_DATA_DIR}:/var/lib/grafana           # 数据持久化目录
      - ${GRAFANA_PROVISIONING_DIR}:/etc/grafana/provisioning  # 配置目录
    user: "472:472"  # 使用grafana用户运行
    environment:
      - GF_SECURITY_ADMIN_USER=${GRAFANA_ADMIN_USER}      # 管理员用户名
      - GF_SECURITY_ADMIN_PASSWORD=${GRAFANA_ADMIN_PASSWORD}  # 管理员密码
      - GF_DEFAULT_LANGUAGE=zh-CN                         # 设置中文界面
      - GF_DATE_FORMATS_DEFAULT_TIMEZONE=browser          # 使用浏览器时区
      - TZ=${TZ}                                         # 设置时区
      - GF_PATHS_DATA=/var/lib/grafana                   # 数据目录
      - GF_PATHS_PROVISIONING=/etc/grafana/provisioning  # 配置目录
      - GF_DASHBOARDS_MIN_REFRESH_INTERVAL=30s           # 仪表盘最小刷新间隔
      - GF_USERS_ALLOW_SIGN_UP=false                     # 禁止用户注册
      - GF_AUTH_ANONYMOUS_ENABLED=false                  # 禁用匿名访问
    deploy:
      resources:
        limits:
          memory: ${GRAFANA_MEMORY_LIMIT}
          cpus: '${GRAFANA_CPU_LIMIT}'
        reservations:
          memory: ${GRAFANA_MEMORY_RESERVATION}
          cpus: '${GRAFANA_CPU_RESERVATION}'
    healthcheck:
      test: [ "CMD", "wget", "-q", "--spider", "http://localhost:3000/api/health" ]
      interval: ${HEALTHCHECK_INTERVAL}
      timeout: ${HEALTHCHECK_TIMEOUT}
      retries: ${HEALTHCHECK_RETRIES}
    restart: unless-stopped
    logging:
      driver: "json-file"
      options:
        max-size: "${MAIN_SERVICE_LOG_MAX_SIZE}"
        max-file: "${MAIN_SERVICE_LOG_MAX_FILE}"
    depends_on:
      prometheus:
        condition: service_healthy
    networks:
      - bzl

  # ----------------------------------------
  # Node Exporter：系统指标收集器
  #
  # 功能：
  # - 收集主机级别的系统指标
  # - 监控CPU、内存、磁盘、网络等
  #
  # 配置说明：
  # - 文件系统：只读方式挂载系统目录
  # - 安全性：排除敏感挂载点
  # - 资源限制：256M内存/0.2CPU
  # ----------------------------------------
  node-exporter:
    image: prom/node-exporter
    container_name: node-exporter
    env_file: .env
    ports:
      - "${NODE_EXPORTER_PORT}:9100"  # 指标暴露端口
    volumes:
      - /proc:/host/proc:ro    # 只读挂载proc文件系统
      - /sys:/host/sys:ro      # 只读挂载sys文件系统
      - /:/rootfs:ro           # 只读挂载根文件系统
    command:
      - "--path.procfs=/host/proc"
      - "--path.sysfs=/host/sys"
      - "--path.rootfs=/rootfs"
      - "--collector.filesystem.mount-points-exclude=^/(sys|proc|dev|host|etc)($$|/)"  # 排除特定挂载点
    deploy:
      resources:
        limits:
          memory: ${EXPORTER_MEMORY_LIMIT}
          cpus: '${EXPORTER_CPU_LIMIT}'
        reservations:
          memory: ${EXPORTER_MEMORY_RESERVATION}
          cpus: '${EXPORTER_CPU_RESERVATION}'
    healthcheck:
      test: [ "CMD", "wget", "-q", "--spider", "http://localhost:9100/metrics" ]
      interval: ${HEALTHCHECK_INTERVAL}
      timeout: ${HEALTHCHECK_TIMEOUT}
      retries: ${HEALTHCHECK_RETRIES}
    restart: unless-stopped
    logging:
      driver: "json-file"
      options:
        max-size: "${OTHER_SERVICE_LOG_MAX_SIZE}"
        max-file: "${OTHER_SERVICE_LOG_MAX_FILE}"
    networks:
      - bzl

  # ----------------------------------------
  # Redis Exporter：Redis监控收集器
  #
  # 功能：
  # - 收集Redis服务器性能指标
  # - 监控连接数、命令执行、内存使用等
  #
  # 配置说明：
  # - 连接超时：30秒
  # - 日志格式：JSON
  # - 资源限制：256M内存/0.2CPU
  # ----------------------------------------
  redis-exporter:
    image: oliver006/redis_exporter
    container_name: redis-exporter
    env_file: .env
    environment:
      - REDIS_ADDR=${REDIS_ADDR}                    # Redis连接地址
      - REDIS_PASSWORD=${REDIS_PASSWORD}            # Redis密码
      - REDIS_EXPORTER_LOG_FORMAT=json              # 日志格式
      - REDIS_EXPORTER_WEB_LISTEN_ADDRESS=0.0.0.0:9121  # 监听地址
      - REDIS_EXPORTER_CONNECTION_TIMEOUT=30s       # 连接超时时间
    ports:
      - "${REDIS_EXPORTER_PORT}:9121"  # 指标暴露端口
    deploy:
      resources:
        limits:
          memory: ${EXPORTER_MEMORY_LIMIT}
          cpus: '${EXPORTER_CPU_LIMIT}'
        reservations:
          memory: ${EXPORTER_MEMORY_RESERVATION}
          cpus: '${EXPORTER_CPU_RESERVATION}'
    # 暂时禁用健康检查，因为基础镜像中没有wget/curl工具
    restart: unless-stopped
    logging:
      driver: "json-file"
      options:
        max-size: "${OTHER_SERVICE_LOG_MAX_SIZE}"
        max-file: "${OTHER_SERVICE_LOG_MAX_FILE}"
    networks:
      - bzl

  # ----------------------------------------
  # Elasticsearch Exporter：ES监控收集器
  #
  # 功能：
  # - 收集ES集群性能指标
  # - 监控节点状态、索引性能、查询延迟等
  #
  # 配置说明：
  # - 监控范围：全量指标、索引指标、分片信息
  # - 超时设置：30秒
  # - 资源限制：256M内存/0.2CPU
  # ----------------------------------------
  elasticsearch-exporter:
    image: quay.io/prometheuscommunity/elasticsearch-exporter:latest
    container_name: elasticsearch-exporter
    env_file: .env
    command:
      - "--es.uri=${ES_URI}"              # ES服务器地址
      - "--es.all"                        # 收集所有指标
      - "--es.indices"                    # 收集索引指标
      - "--es.indices_settings"           # 收集索引设置
      - "--es.shards"                     # 收集分片信息
      - "--es.timeout=30s"                # 请求超时时间
      - "--web.listen-address=0.0.0.0:9114"  # 监听地址
      - "--web.telemetry-path=/metrics"      # 指标路径
    ports:
      - "${ES_EXPORTER_PORT}:9114"  # 指标暴露端口
    deploy:
      resources:
        limits:
          memory: ${EXPORTER_MEMORY_LIMIT}
          cpus: '${EXPORTER_CPU_LIMIT}'
        reservations:
          memory: ${EXPORTER_MEMORY_RESERVATION}
          cpus: '${EXPORTER_CPU_RESERVATION}'
    healthcheck:
      test: [ "CMD", "wget", "-q", "--spider", "http://localhost:9114/metrics" ]
      interval: ${HEALTHCHECK_INTERVAL}
      timeout: ${HEALTHCHECK_TIMEOUT}
      retries: ${HEALTHCHECK_RETRIES}
    restart: unless-stopped
    logging:
      driver: "json-file"
      options:
        max-size: "${OTHER_SERVICE_LOG_MAX_SIZE}"
        max-file: "${OTHER_SERVICE_LOG_MAX_FILE}"
    networks:
      - bzl

  # ----------------------------------------
  # OpenGauss Exporter：数据库监控收集器
  #
  # 功能：
  # - 收集OpenGauss数据库性能指标
  # - 监控连接数、查询性能、资源使用等
  #
  # 配置说明：
  # - 日志级别：info
  # - 指标路径：/metrics
  # - 资源限制：256M内存/0.2CPU
  # ----------------------------------------
  opengauss-exporter:
    image: enmotech/opengauss_exporter
    container_name: opengauss-exporter
    env_file: .env
    environment:
      - DATA_SOURCE_NAME=${OPENGAUSS_DSN}  # 数据库连接字符串
    ports:
      - "${OPENGAUSS_EXPORTER_PORT}:9187"  # 指标暴露端口
    command:
      - '--web.listen-address=:9187'       # 监听地址
      - '--web.telemetry-path=/metrics'    # 指标路径
      - '--log.level=info'                # 日志级别
    deploy:
      resources:
        limits:
          memory: ${EXPORTER_MEMORY_LIMIT}
          cpus: '${EXPORTER_CPU_LIMIT}'
        reservations:
          memory: ${EXPORTER_MEMORY_RESERVATION}
          cpus: '${EXPORTER_CPU_RESERVATION}'
    # 暂时禁用健康检查，因为基础镜像中没有wget/curl工具
    restart: unless-stopped
    logging:
      driver: "json-file"
      options:
        max-size: "${OTHER_SERVICE_LOG_MAX_SIZE}"
        max-file: "${OTHER_SERVICE_LOG_MAX_FILE}"
    networks:
      - bzl

  # OpenGauss DBMind：用于监控OpenGauss数据库
  # opengauss-dbmind:
  #   image: dbmind/opengauss_dbmind
  #   container_name: opengauss-dbmind
  #   environment:
  #     # 配置多个监控源，包括主要业务库和系统库
  #     - OPENGAUSS_DSNS=dbname=postgres user=dbmind_monitor password=DBMind@123 port=5432 host=10.2.7.113, dbname=db_bzl user=dbmind_monitor password=DBMind@123 port=5432 host=10.2.7.113
  #     # 指定 node-exporter 地址
  #     - NODE_EXPORTERS=http://node-exporter:9100
  #     # 使用 metadatabase 作为元数据库
  #     - METADATABASE=postgresql://dbmind_monitor:DBMind%40123@10.2.7.113:5432/metadatabase
  #     - SCRAPE_INTERVAL=15
  #     # 管理员用户配置
  #     - MASTER_USER=dbmind_sys
  #     - MASTER_USER_PWD=DBMind@123
  #   volumes:
  #     - /home/docker_volums/dbmind_volumes/data:/data
  #     - /home/docker_volums/dbmind_volumes/log:/log
  #   ports:
  #     - "38080:8080"  # DBMind Web服务端口
  #     - "19090:9090"  # Prometheus端口1
  #     - "10001:10001" # OpenGauss Exporter端口1
  #     - "10002:10002" # OpenGauss Exporter端口2
  #     - "8181:8181"   # Reprocessing Exporter端口
  #   networks:
  #     - bzl

  # ----------------------------------------
  # Nginx Exporter：Nginx监控收集器
  #
  # 功能：
  # - 收集Nginx服务器性能指标
  # - 监控连接数、请求率、错误率等
  #
  # 配置说明：
  # - 状态页：通过环境变量配置
  # - 资源限制：256M内存/0.2CPU
  # ----------------------------------------
  nginx-exporter:
    image: nginx/nginx-prometheus-exporter
    container_name: nginx-exporter
    env_file: .env
    ports:
      - "${NGINX_EXPORTER_PORT}:9113"  # 指标暴露端口
    command:
      - "--nginx.scrape-uri=${NGINX_STATUS_URL}"  # Nginx状态页面地址
      - "--web.listen-address=:9113"              # 明确指定监听地址
    deploy:
      resources:
        limits:
          memory: ${EXPORTER_MEMORY_LIMIT}
          cpus: '${EXPORTER_CPU_LIMIT}'
        reservations:
          memory: ${EXPORTER_MEMORY_RESERVATION}
          cpus: '${EXPORTER_CPU_RESERVATION}'
    # 暂时禁用健康检查，因为基础镜像中没有wget/curl工具
    restart: unless-stopped
    logging:
      driver: "json-file"
      options:
        max-size: "${OTHER_SERVICE_LOG_MAX_SIZE}"
        max-file: "${OTHER_SERVICE_LOG_MAX_FILE}"
    networks:
      - bzl

  # ----------------------------------------
  # cAdvisor：容器监控收集器
  #
  # 功能：
  # - 收集Docker容器性能指标
  # - 监控CPU、内存、网络、磁盘等使用情况
  # - 提供容器资源使用的历史数据
  #
  # 配置说明：
  # - 权限：需要特权模式访问系统资源
  # - 挂载：只读方式挂载系统目录
  # - 资源限制：512M内存/0.5CPU
  # ----------------------------------------
  cadvisor:
    image: gcr.io/cadvisor/cadvisor:${CADVISOR_VERSION}
    container_name: cadvisor
    env_file: .env
    privileged: true  # 需要特权模式访问系统资源
    devices:
      - /dev/kmsg:/dev/kmsg  # 访问系统日志
    volumes:
      - /:/rootfs:ro                     # 只读方式挂载根文件系统
      - /var/run:/var/run:ro             # 访问容器运行时信息
      - /sys:/sys:ro                     # 访问系统信息
      - /var/lib/docker/:/var/lib/docker:ro  # 访问Docker数据
      - /dev/disk/:/dev/disk:ro          # 访问磁盘信息
    ports:
      - "${CADVISOR_PORT}:8080"  # Web界面端口映射
    environment:
      - TZ=${TZ}                         # 设置时区
      - CADVISOR_HEALTHCHECK_URL=http://localhost:8080/healthz  # 健康检查URL
    deploy:
      resources:
        limits:
          memory: 512M
          cpus: '0.5'
        reservations:
          memory: 256M
          cpus: '0.2'
    healthcheck:
      test: [ "CMD", "wget", "-q", "--spider", "http://localhost:8080/healthz" ]
      interval: ${HEALTHCHECK_INTERVAL}
      timeout: ${HEALTHCHECK_TIMEOUT}
      retries: ${HEALTHCHECK_RETRIES}
    restart: unless-stopped
    logging:
      driver: "json-file"
      options:
        max-size: "${CADVISOR_LOG_MAX_SIZE}"
        max-file: "${CADVISOR_LOG_MAX_FILE}"
    networks:
      - bzl

# ----------------------------------------
# 网络配置
#
# 说明：
# - 使用已存在的外部网络bzl
# - 确保所有服务可以相互通信
# - 支持服务间的服务发现
# ----------------------------------------
networks:
  bzl:
    name: bzl
    external: true  # 使用外部已存在的网络

text

# ----------------------------------------
# 全局设置
# ----------------------------------------
# 设置时区为中国标准时间
TZ=Asia/Shanghai
# Docker数据卷的根目录，用于持久化存储
DOCKER_VOLUME_ROOT=/home/docker_volums

# ----------------------------------------
# Prometheus配置
# ----------------------------------------
# Prometheus Web界面端口，映射到主机的9091端口
PROMETHEUS_PORT=9091
# 监控数据保留时间，超过此时间的数据会被自动删除
PROMETHEUS_RETENTION_TIME=15d
# 监控数据存储大小限制，超过此大小会删除最旧的数据
PROMETHEUS_RETENTION_SIZE=5GB
# Prometheus数据存储目录，用于持久化数据
PROMETHEUS_DATA_DIR=${DOCKER_VOLUME_ROOT}/prometheus_volumes/data

# ----------------------------------------
# Grafana配置
# ----------------------------------------
# Grafana Web界面端口
GRAFANA_PORT=3000
# Grafana管理员用户名
GRAFANA_ADMIN_USER=admin
# Grafana管理员密码
GRAFANA_ADMIN_PASSWORD=admin123
# Grafana数据目录，存储仪表盘、用户等信息
GRAFANA_DATA_DIR=${DOCKER_VOLUME_ROOT}/grafana_volumes
# Grafana配置目录，存储数据源、仪表盘等配置
GRAFANA_PROVISIONING_DIR=${DOCKER_VOLUME_ROOT}/grafana_volumes/provisioning

# ----------------------------------------
# Node Exporter配置
# ----------------------------------------
# Node Exporter端口，用于收集主机系统指标
NODE_EXPORTER_PORT=9100

# ----------------------------------------
# Redis Exporter配置
# ----------------------------------------
# Redis Exporter端口，用于暴露Redis监控指标
REDIS_EXPORTER_PORT=9121
# Redis服务器连接地址
REDIS_ADDR=redis://10.2.7.113:6379
# Redis服务器密码
REDIS_PASSWORD=你的redis密码

# ----------------------------------------
# Elasticsearch Exporter配置
# ----------------------------------------
# Elasticsearch Exporter端口，用于暴露ES监控指标
ES_EXPORTER_PORT=9114
# Elasticsearch服务器地址
ES_URI=http://elasticsearch:9200

# ----------------------------------------
# OpenGauss Exporter配置
# ----------------------------------------
# OpenGauss Exporter端口，用于暴露数据库监控指标
OPENGAUSS_EXPORTER_PORT=9187
# OpenGauss数据库连接字符串
# 格式：postgresql://用户名:密码@主机:端口/数据库名?sslmode=disable
OPENGAUSS_DSN=postgresql://dbuser_monitor:Mon@1234@10.2.7.113:5432/postgres?sslmode=disable

# ----------------------------------------
# Nginx Exporter配置
# ----------------------------------------
# Nginx Exporter端口，用于暴露Nginx监控指标
NGINX_EXPORTER_PORT=9113
# Nginx status页面地址，用于获取Nginx状态信息
NGINX_STATUS_URL=http://bzl_front:8080/nginx_status

# ----------------------------------------
# cAdvisor配置
# ----------------------------------------
# cAdvisor Web界面端口，用于查看容器监控信息
CADVISOR_PORT=8090
# cAdvisor版本号，建议使用稳定版本
CADVISOR_VERSION=v0.49.2
# 容器日志文件大小限制
CADVISOR_LOG_MAX_SIZE=100m
# 容器日志文件保留个数
CADVISOR_LOG_MAX_FILE=3 

# ----------------------------------------
# 资源限制配置
# ----------------------------------------
# Prometheus资源限制
PROMETHEUS_MEMORY_LIMIT=2G
PROMETHEUS_CPU_LIMIT=1
PROMETHEUS_MEMORY_RESERVATION=1G
PROMETHEUS_CPU_RESERVATION=0.5

# Grafana资源限制
GRAFANA_MEMORY_LIMIT=1G
GRAFANA_CPU_LIMIT=0.5
GRAFANA_MEMORY_RESERVATION=512M
GRAFANA_CPU_RESERVATION=0.2

# Exporters资源限制（适用于所有Exporter）
EXPORTER_MEMORY_LIMIT=256M
EXPORTER_CPU_LIMIT=0.2
EXPORTER_MEMORY_RESERVATION=128M
EXPORTER_CPU_RESERVATION=0.1

# ----------------------------------------
# 日志配置
# ----------------------------------------
# 主要服务（Prometheus/Grafana）日志配置
MAIN_SERVICE_LOG_MAX_SIZE=100m
MAIN_SERVICE_LOG_MAX_FILE=3

# 其他服务日志配置
OTHER_SERVICE_LOG_MAX_SIZE=50m
OTHER_SERVICE_LOG_MAX_FILE=3

# ----------------------------------------
# 健康检查配置
# ----------------------------------------
# 健康检查间隔时间
HEALTHCHECK_INTERVAL=30s
# 健康检查超时时间
HEALTHCHECK_TIMEOUT=10s
# 健康检查重试次数
HEALTHCHECK_RETRIES=3

yml

# 全局配置
global:
  scrape_interval: 15s # 改为15秒
  evaluation_interval: 15s # 改为15秒

# 告警规则文件
rule_files:
  - "minio-alerting.yml"

# 抓取配置：定义所有监控目标
scrape_configs:
  # 监控Prometheus自身
  - job_name: "prometheus"
    static_configs:
      - targets: [ "prometheus:9090" ]

  # 监控主机系统指标
  - job_name: "node"
    static_configs:
      - targets: [ "node-exporter:9100" ]
        labels:
          instance: "linux-server"

  # 监控Redis指标
  - job_name: "redis"
    static_configs:
      - targets: [ "redis-exporter:9121" ]

  # 监控MinIO指标
  - job_name: minio-cluster
    bearer_token: eyJhbGciOiJIUzUxMiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJwcm9tZXRoZXVzIiwic3ViIjoibWluaW9hZG1pbiIsImV4cCI6NDg4OTc0MDk1NX0.lPc0ta75MYOtHwjj5lXmYI-pTGA-R7D3D5QbJIN81WHXNtVw-64KneLZbACM9cS_9oyvRbpmSJl_nLa1cy_2vA
    metrics_path: /minio/v2/metrics/cluster
    scheme: http
    static_configs:
      - targets: [ "minio:9000" ]

  # 监控Elasticsearch指标
  - job_name: "elasticsearch"
    static_configs:
      - targets: [ "elasticsearch-exporter:9114" ]

  # 监控OpenGauss指标 (官方exporter)
  - job_name: "opengauss-official"
    metrics_path: /metrics
    scheme: http
    static_configs:
      - targets: [ "opengauss-exporter:9187" ]
        labels:
          instance: "opengauss-official"

  # 监控OpenGauss指标
  # - job_name: "opengauss"
  #   scrape_interval: 15s
  #   metrics_path: /metrics
  #   scheme: http
  #   fallback_scrape_protocol: "PrometheusText0.0.4"
  #   static_configs:
  #     - targets:
  #         - "opengauss-dbmind:10001"
  #         - "opengauss-dbmind:10002"
  #       labels:
  #         instance: "opengauss-main"

  # 监控JVM指标
  - job_name: "jmx"
    metrics_path: "/metrics"
    scheme: http
    static_configs:
      - targets: [ "bzl_backend:9404" ]
        # labels:
        #   instance: "bzl.domain.com[bzl_backend]"

  # actuator监控Java应用
  # - job_name: "application"
  #   metrics_path: "/bzl-boot/actuator/prometheus"
  #   scheme: http
  #   follow_redirects: true
  #   static_configs:
  #     - targets: ["host.docker.internal:8083"]

  # 监控Nginx指标
  - job_name: "nginx"
    static_configs:
      - targets: [ "nginx-exporter:9113" ]

  # 监控Docker容器指标
  - job_name: "docker"
    metrics_path: /metrics
    scheme: http
    static_configs:
      - targets: [ "cadvisor:8080" ]
        labels:
          instance: "docker-metrics"
          service: "cadvisor"
          environment: "prod"
    metric_relabel_configs:
      # 保留重要的容器标签
      - source_labels: [ container_label_com_docker_compose_service ]
        target_label: service_name
      - source_labels: [ container_label_com_docker_compose_project ]
        target_label: project_name
      # 移除一些不必要的标签以减少存储空间
      - regex: "container_label_.*"
        action: labeldrop
      - regex: "id"
        action: labeldrop

yml

startDelaySeconds: 0
ssl: false
# 下面这两可以不写（）
lowercaseOutputName: false
lowercaseOutputLabelNames: false

rules:
  - pattern: ".*"

单独接入的案例详解

接入springboot

下载官方的jmx_exporter

在启动的时候以javaagent的方式启动jmx_export

后端Dockerfile后端docker-composejmx_comfig.yaml配置prometheus.yml

dockerfile

# 使用 OpenJDK 作为基础镜像  
FROM openjdk:8    
# 作者信息  
LABEL maintainer="bzl"  
  
# 设置时区  
RUN ln -sf /usr/share/zoneinfo/Asia/Shanghai /etc/localtime  
  
# 创建必要的目录  
RUN mkdir -p /app/logs /app/uploadtmp /app  
  
# 设置工作目录  
WORKDIR /app  
  
# 将构建的 jar 文件和 javaagent jar 添加到容器中  
COPY ./web/target/bzl-boot-1.0.0.jar ./bzl-boot-1.0.0.jar  
COPY ./prometheus/jmx_prometheus_javaagent-1.1.0.jar ./jmx_prometheus_javaagent-1.1.0.jar  
COPY ./prometheus/jmx_config.yaml ./jmx_config.yaml  
  
# 暴露应用的端口（后端端口和jmx端口）
EXPOSE 8083 9404  
  
# 设置容器启动时执行的命令，添加 javaagent 参数  
CMD ["java", \  
    "-javaagent:/app/jmx_prometheus_javaagent-1.1.0.jar=9404:/app/jmx_config.yaml", \  
    "-Djava.io.tmpdir=/app/uploadtmp", \  
    "-Duser.timezone=GMT+08", \  
    "-Dspring.profiles.active=prod", \  
    "-jar", "bzl-boot-1.0.0.jar"]

yaml

services:
  bzl_backend:
    build:
      context: .
      dockerfile: Dockerfile
    image: bzl_boot:1.0
    container_name: bzl_backend
    ports:
      - "8083:8083"
      - "9404:9404"
    networks:
      - bzl

networks:
  bzl: # 定义共享网络  
    name: bzl

yaml

# JMX Exporter 基础配置
startDelaySeconds: 0 # JMX Exporter启动延迟时间（秒）
ssl: false # 是否使用SSL连接

rules:
  - pattern: ".*"

yml

  # 监控JVM指标
  - job_name: "jmx"
    metrics_path: "/metrics"
    scheme: http
    static_configs:
      - targets: [ "bzl_backend:9404" ]

接入nginx

nginx-prometheus-exporter仪表盘文档

nginx的仪表盘json，拷贝官方的

dockercomposeprometheus.ymlnginx_status.conf

yml

services:
  nginx-exporter:
    image: nginx/nginx-prometheus-exporter
    container_name: nginx-exporter
    ports:
      - "9113:9113"
    command:
      - "--nginx.scrape-uri=http://bzl_front:8080/nginx_status"
    restart: unless-stopped
    networks:
      - bzl

networks:
  bzl: # 定义共享网络  
    name: bzl

yml

scrape_configs:
  - job_name: "nginx"
    static_configs:
      - targets: [ "nginx-exporter:9113" ]

nginx

# 放行数据监控接口
server {
    listen 8080;
    server_name _;
    # Nginx status page
    location /nginx_status {
        stub_status on;
        access_log off;
        allow 127.0.0.1;
        allow 172.16.0.0/12; # Docker network
        allow 192.168.0.0/16; # Local network
        deny all;
    }
}

接入minio

使用 Prometheus 进行监控和警报 — 适用于 Linux 的 MinIO 对象存储

注意

下面的命令中需要替换的参数：

网络host
数据卷/home/docker_volums/mc_volumes
别名source

创建minio的别名（mc链接minio）这里的source是别名

docker run --rm --network host -v /home/docker_volums/mc_volumes:/root/.mc minio/mc alias set source http://minio:9000 minioadmin minioadmin

生成minio监控的job数据需要查看官方文档来修改监听方式，此处我的是默认（cluster）

docker run --rm --network host -v /home/docker_volums/mc_volumes:/root/.mc minio/mc admin prometheus generate source

生成的例子(生成后将其粘贴到prometheus.yml中即可，注意缩进)

yml

- job_name: minio-cluster
    bearer_token: eyJhbGciOiJIUzUxMiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJwcm9tZXRoZXVzIiwic3ViIjoibWluaW9hZG1pbiIsImV4cCI6NDg4OTc0MDk1NX0.lPc0ta75MYOtHwjj5lXmYI-pTGA-R7D3D5QbJIN81WHXNtVw-64KneLZbACM9cS_9oyvRbpmSJl_nLa1cy_2vA
    metrics_path: /minio/v2/metrics/cluster
    scheme: http
    static_configs:
      - targets: [ "minio:9000" ]

minio-alerting.yml

yml

groups:
  - name: minio-alerts
    rules:
      - alert: NodesOffline
        expr: avg_over_time(minio_cluster_nodes_offline_total{job="minio-job"}[5m]) > 0
        for: 10m
        labels:
          severity: warn
        annotations:
          summary: "MinIO节点离线警告"
          description: "集群 {{ $labels.instance }} 中的节点已离线超过5分钟"

      - alert: DisksOffline
        expr: avg_over_time(minio_cluster_drive_offline_total{job="minio-job"}[5m]) > 0
        for: 10m
        labels:
          severity: warn
        annotations:
          summary: "MinIO磁盘离线警告"
          description: "集群 {{ $labels.instance }} 中的磁盘已离线超过5分钟"

接入opengauss

简介

可以使用两种方法导出opengauss的监控数据

opengauss-exporter（一个官方组件仓库）
DBMind（官方工具，其中包含opengauss-exporter组件）

如果用户或数据库创建错了，这是删除方法！！

opengauss-exporter

openGauss-prometheus-exporter文档

登录（需要用管理员用户登录进去创建）

gsql -d postgres -p 5432 -U 管理员用户账号

创建监控用户

sql

CREATE USER dbuser_monitor with login monadmin PASSWORD 'Mon@1234';
grant usage on schema dbe_perf to dbuser_monitor;
grant select on pg_stat_replication to dbuser_monitor;

dockercomposeprometheus.yml

yml

  # OpenGauss Exporter：使用官方exporter监控OpenGauss
  opengauss-exporter:
    image: enmotech/opengauss_exporter
    container_name: opengauss-exporter
    environment:
      - DATA_SOURCE_NAME=postgresql://dbuser_monitor:Mon@1234@10.2.7.113:5432/postgres?sslmode=disable
    ports:
      - "9187:9187"
    command:
      - '--web.listen-address=:9187'
      - '--web.telemetry-path=/metrics'
      - '--log.level=debug'
    restart: unless-stopped
    networks:
      - bzl

yml

  # 监控OpenGauss指标 (官方exporter)
  - job_name: "opengauss-official"
    scrape_interval: 15s
    metrics_path: /metrics
    static_configs:
      - targets: [ "opengauss-exporter-official:9187" ]
        labels:
          instance: "opengauss-official"

DBMind

openGauss-DBMind文档

创建数据库用于监控的用户

账号为：dbmind_monitor和dbmind_sys；密码为：DBMind@123

sql

-- 创建监控用户dbmind_monitor并设置密码,赋予monadmin权限
CREATE USER dbmind_monitor WITH PASSWORD 'DBMind@123';
ALTER USER dbmind_monitor monadmin;

-- 创建管理用户（用于执行管理操作）,赋予sysadmin权限
CREATE USER dbmind_sys WITH PASSWORD 'DBMind@123';
ALTER USER dbmind_sys sysadmin;

-- 创建元数据库和用户
CREATE DATABASE dbmind_metadb;
CREATE USER dbmind_metadb WITH PASSWORD 'DBMind@123';
GRANT ALL PRIVILEGES ON DATABASE dbmind_metadb TO dbmind_metadb;

其中dbmind_monitor负责从openGauss数据库中抓取指标监控，需要具备monitor admin权限；dbmind_sys至少需要具备 monitor admin权限，以便可以获取数据库的即时状态，如果具备sysadmin权限，则可以完成一些数据库变更动作，如慢SQL查杀； dbmind_metadb只是负责数据保存，具备指定数据库的使用权限即可

dockercomposeprometheus.yml

yml

  opengauss-dbmind:
    image: dbmind/opengauss_dbmind
    container_name: opengauss-dbmind
    environment:
      - OPENGAUSS_DSNS=dbname=postgres user=dbmind_monitor password=DBMind@123 port=5432 host=10.2.7.113
      - NODE_EXPORTERS=http://node-exporter:9100
      - SCRAPE_INTERVAL=15
      - MASTER_USER=dbmind_sys
      - MASTER_USER_PWD=DBMind@123
    ports:
      - "38080:8080"  # DBMind Web服务端口
      - "9187:9090"   # Prometheus端口（用于收集指标）
    volumes:
      - /home/docker_volums/dbmind_volumes/data:/data  # 持久化数据
      - /home/docker_volums/dbmind_volumes/log:/log    # 日志目录
    networks:
      - bzl

yml

  # 监控OpenGauss指标
  - job_name: "opengauss"
    scrape_interval: 15s
    metrics_path: /metrics
    static_configs:
      - targets: [ "opengauss-dbmind:9090" ]
        labels:
          instance: "opengauss-main"

指标地址为：http://10.2.7.113:9187/metrics

dbMind的地址为：http://10.2.7.113:38080/

删除用户和数据库的方法

删除用户

假设要删除的用户为dbmind_monitor

查询所有用户

sql

SELECT * FROM pg_user;

删除该用户（如果执行失败，请先执行下面两条语句，将权限取消后再删除用户）

sql

DROP USER IF EXISTS dbmind_monitor;

切换到dbmind_metadb数据库

sql

\c dbmind_metadb;

去除该用户在该数据库的所有权限

sql

REVOKE ALL ON DATABASE dbmind_metadb FROM dbmind_monitor;

删除数据库（如果需要把这个库也删除的话）

sql

DROP DATABASE IF EXISTS dbmind_metadb;

如果删不掉，请尝试下面两个语句后再删除（如果有项目占用这个数据库，或者有其他人在链接这个数据库，那这个数据库是删不掉的，需要断开这个数据库的所有连接后再删除）

sql

-- 查看当前连接
SELECT pid, datname, usename, application_name, client_addr, state 
FROM pg_stat_activity 
WHERE datname = 'dbmind_metadb';

-- 强制断开 metadatabase 的所有连接
CLEAN CONNECTION TO ALL FORCE FOR DATABASE dbmind_metadb;

接入docker

google/cadvisor 分析正在运行的容器的资源使用情况和性能特征

docker-compose.ymlprometheus.yml

yml

  # cAdvisor：用于收集Docker容器指标
  cadvisor:
    image: gcr.io/cadvisor/cadvisor:v0.49.2
    container_name: cadvisor
    privileged: true  # 需要特权模式来访问系统资源
    devices:
      - /dev/kmsg:/dev/kmsg
    volumes:
      - /:/rootfs:ro                     # 只读方式挂载根文件系统
      - /var/run:/var/run:ro             # 访问容器运行时信息
      - /sys:/sys:ro                     # 访问系统信息
      - /var/lib/docker/:/var/lib/docker:ro  # 访问Docker数据
      - /dev/disk/:/dev/disk:ro          # 访问磁盘信息
    ports:
      - "8090:8080"  # 修改为8090避免与其他服务冲突
    environment:
      - TZ=Asia/Shanghai
      - CADVISOR_HEALTHCHECK_URL=http://localhost:8080/healthz  # 健康检查URL
    healthcheck:
      test: [ "CMD", "wget", "-q", "--spider", "http://localhost:8080/healthz" ]
      interval: 30s
      timeout: 10s
      retries: 3
    restart: unless-stopped
    networks:
      - bzl
    logging:
      driver: "json-file"
      options:
        max-size: "100m"
        max-file: "3"

yml

  # 监控Docker容器指标
  - job_name: "docker"
    scrape_interval: 5s # Docker容器指标采集间隔设置更短
    metrics_path: /metrics
    scheme: http
    static_configs:
      - targets: [ "cadvisor:8080" ]
        labels:
          instance: "docker-metrics"
          service: "cadvisor"
          environment: "prod"
    metric_relabel_configs:
      # 保留重要的容器标签
      - source_labels: [ container_label_com_docker_compose_service ]
        target_label: service_name
      - source_labels: [ container_label_com_docker_compose_project ]
        target_label: project_name
      # 移除一些不必要的标签以减少存储空间
      - regex: "container_label_.*"
        action: labeldrop
      - regex: "id"
        action: labeldrop

可能遇到的问题

读取不到job，导致数据无法显示

仪表盘

Grafana仪表盘下载

常用仪表盘

node_exporter（1860）

镜像：prom/node-exporter
仪表盘官网

redis（11835）

镜像：oliver006/redis_exporter
仪表盘官网

elasticsearch（14191）

镜像：quay.io/prometheuscommunity/elasticsearch-exporter:latest）
仪表盘官网

postgre（9628）

镜像：enmotech/opengauss_exporter）
仪表盘官网

jmx（14845）

不能使用actuator的话，就使用这个

我的配置

这个仪表盘的一些字段太老了，需要自己修改一下

仪表盘官网

nginx

镜像：nginx/nginx-prometheus-exporter
我的配置
仪表盘官网

docker（19908）

镜像：gcr.io/cadvisor/cadvisor:v0.49.2
-可选镜像版本查看
仪表盘官网

jmx overview（3457）

镜像：bitnami/jmx-exporter
本次没用到，但是测试过了
仪表盘官网

jvm（4701）（本次没用到，但是测试过了）

仪表盘官网
需要在springboot中放行actuator的路径
springboot配置文件需要在management.endpoints.web.exposure.include中加上health,prometheus
不建议用这个，这个需要使用actuator，actuator有提权漏洞

我的一些仪表盘配置

[jmx]、[nginx]

jmxnginx

json

{
  "__inputs": [
    {
      "name": "DS_PROMETHEUS",
      "label": "prometheus",
      "description": "",
      "type": "datasource",
      "pluginId": "prometheus",
      "pluginName": "Prometheus"
    }
  ],
  "__elements": {},
  "__requires": [
    {
      "type": "panel",
      "id": "gauge",
      "name": "Gauge",
      "version": ""
    },
    {
      "type": "grafana",
      "id": "grafana",
      "name": "Grafana",
      "version": "11.4.0"
    },
    {
      "type": "datasource",
      "id": "prometheus",
      "name": "Prometheus",
      "version": "1.0.0"
    },
    {
      "type": "panel",
      "id": "stat",
      "name": "Stat",
      "version": ""
    },
    {
      "type": "panel",
      "id": "timeseries",
      "name": "Time series",
      "version": ""
    }
  ],
  "annotations": {
    "list": [
      {
        "builtIn": 1,
        "datasource": {
          "type": "datasource",
          "uid": "grafana"
        },
        "enable": true,
        "hide": true,
        "iconColor": "rgba(0, 211, 255, 1)",
        "name": "Annotations & Alerts",
        "target": {
          "limit": 100,
          "matchAny": false,
          "tags": [],
          "type": "dashboard"
        },
        "type": "dashboard"
      }
    ]
  },
  "description": "jmx exporter monitor",
  "editable": true,
  "fiscalYearStartMonth": 0,
  "graphTooltip": 0,
  "id": null,
  "links": [],
  "panels": [
    {
      "collapsed": false,
      "gridPos": {
        "h": 1,
        "w": 24,
        "x": 0,
        "y": 0
      },
      "id": 56,
      "panels": [],
      "title": "System",
      "type": "row"
    },
    {
      "datasource": {
        "type": "prometheus",
        "uid": "${DS_PROMETHEUS}"
      },
      "fieldConfig": {
        "defaults": {
          "color": {
            "mode": "fixed"
          },
          "mappings": [],
          "thresholds": {
            "mode": "absolute",
            "steps": [
              {
                "color": "green",
                "value": null
              }
            ]
          }
        },
        "overrides": []
      },
      "gridPos": {
        "h": 2,
        "w": 24,
        "x": 0,
        "y": 1
      },
      "id": 72,
      "options": {
        "colorMode": "value",
        "graphMode": "none",
        "justifyMode": "auto",
        "orientation": "auto",
        "percentChangeColorMode": "standard",
        "reduceOptions": {
          "calcs": [],
          "fields": "/^jdk$/",
          "values": false
        },
        "showPercentChange": false,
        "text": {
          "valueSize": 20
        },
        "textMode": "value",
        "wideLayout": true
      },
      "pluginVersion": "11.4.0",
      "targets": [
        {
          "datasource": {
            "type": "prometheus",
            "uid": "${DS_PROMETHEUS}"
          },
          "disableTextWrap": false,
          "editorMode": "builder",
          "exemplar": true,
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json

{
  "__inputs": [
    {
      "description": "",
      "label": "Prometheus",
      "name": "DS_PROMETHEUS",
      "pluginId": "prometheus",
      "pluginName": "Prometheus",
      "type": "datasource"
    }
  ],
  "__requires": [
    {
      "id": "grafana",
      "name": "Grafana",
      "type": "grafana",
      "version": "5.0.0"
    },
    {
      "id": "graph",
      "name": "Graph",
      "type": "panel",
      "version": ""
    },
    {
      "id": "prometheus",
      "name": "Prometheus",
      "type": "datasource",
      "version": "1.0.0"
    },
    {
      "id": "singlestat",
      "name": "Singlestat",
      "type": "panel",
      "version": ""
    }
  ],
  "annotations": {
    "list": [
      {
        "builtIn": 1,
        "datasource": "-- Grafana --",
        "enable": true,
        "hide": true,
        "iconColor": "rgba(0, 211, 255, 1)",
        "name": "Annotations & Alerts",
        "type": "dashboard"
      }
    ]
  },
  "description": "Official dashboard for NGINX Prometheus exporter",
  "editable": true,
  "gnetId": null,
  "graphTooltip": 0,
  "id": null,
  "iteration": 1562682051068,
  "links": [],
  "panels": [
    {
      "collapsed": false,
      "datasource": "${DS_PROMETHEUS}",
      "gridPos": {
        "h": 1,
        "w": 24,
        "x": 0,
        "y": 0
      },
      "id": 4,
      "panels": [],
      "title": "Status",
      "type": "row"
    },
    {
      "cacheTimeout": null,
      "colorBackground": true,
      "colorPostfix": false,
      "colorPrefix": false,
      "colorValue": false,
      "colors": [
        "#E02F44",
        "#FF9830",
        "#299c46"
      ],
      "datasource": "${DS_PROMETHEUS}",
      "decimals": null,
      "description": "",
      "format": "none",
      "gauge": {
        "maxValue": 100,
        "minValue": 0,
        "show": false,
        "thresholdLabels": false,
        "thresholdMarkers": true
      },
      "gridPos": {
        "h": 3,
        "w": 12,
        "x": 0,
        "y": 1
      },
      "id": 8,
      "interval": null,
      "links": [],
      "mappingType": 1,
      "mappingTypes": [
        {
          "name": "value to text",
          "value": 1
        },
        {
          "name": "range to text",
          "value": 2
        }
      ],
      "maxDataPoints": 100,
      "nullPointMode": "connected",
      "nullText": null,
      "options": {},
      "postfix": "",
      "postfixFontSize": "50%",
      "prefix": "",
      "prefixFontSize": "50%",
      "rangeMaps": [
        {
          "from": "null",
          "text": "N/A",
          "to": "null"
        }
      ],
      "repeat": "instance",
      "repeatDirection": "h",
      "sparkline": {
        "fillColor": "rgba(31, 118, 189, 0.18)",
        "full": false,
        "lineColor": "rgb(31, 120, 193)",
        "show": false
      },
      "tableColumn": "",
      "targets": [
        {
          "expr": "nginx_up{instance=~\"$instance\"}",
          "format": "time_series",
          "instant": false,
          "intervalFactor": 1,
          "refId": "A"
        }
      ],
      "thresholds": "1,1",
      "timeFrom": null,
      "timeShift": null,
      "title": "NGINX Status for $instance",
      "type": "singlestat",
      "valueFontSize": "100%",
      "valueMaps": [
        {
          "op": "=",
          "text": "Down",
          "value": "0"
        },
        {
          "op": "=",
          "text": "Up",
          "value": "1"
        }
      ],
      "valueName": "current"
    },
    {
      "collapsed": false,
      "datasource": "${DS_PROMETHEUS}",
      "gridPos": {
        "h": 1,
        "w": 24,
        "x": 0,
        "y": 4
      },
      "id": 6,
      "panels": [],
      "title": "Metrics",
      "type": "row"
    },
    {
      "aliasColors": {},
      "bars": false,
      "dashLength": 10,
      "dashes": false,
      "datasource": "${DS_PROMETHEUS}",
      "decimals": null,
      "description": "",
      "fill": 1,
      "gridPos": {
        "h": 10,
        "w": 12,
        "x": 0,
        "y": 5
      },
      "id": 10,
      "legend": {
        "alignAsTable": false,
        "avg": false,
        "current": false,
        "hideEmpty": false,
        "max": false,
        "min": false,
        "rightSide": false,
        "show": true,
        "total": false,
        "values": false
      },
      "lines": true,
      "linewidth": 1,
      "links": [],
      "nullPointMode": "null",
      "options": {},
      "percentage": false,
      "pointradius": 2,
      "points": false,
      "renderer": "flot",
      "seriesOverrides": [],
      "spaceLength": 10,
      "stack": false,
      "steppedLine": false,
      "targets": [
        {
          "expr": "irate(nginx_connections_accepted{instance=~\"$instance\"}[5m])",
          "format": "time_series",
          "instant": false,
          "intervalFactor": 1,
          "legendFormat": "{{instance}} accepted",
          "refId": "A"
        },
        {
          "expr": "irate(nginx_connections_handled{instance=~\"$instance\"}[5m])",
          "format": "time_series",
          "instant": false,
          "intervalFactor": 1,
          "legendFormat": "{{instance}} handled",
          "refId": "B"
        }
      ],
      "thresholds": [],
      "timeFrom": null,
      "timeRegions": [],
      "timeShift": null,
      "title": "Processed connections",
      "tooltip": {
        "shared": true,
        "sort": 0,
        "value_type": "individual"
      },
      "type": "graph",
      "xaxis": {
        "buckets": null,
        "mode": "time",
        "name": null,
        "show": true,
        "values": []
      },
      "yaxes": [
        {
          "decimals": 1,
          "format": "short",
          "label": "Connections (rate)",
          "logBase": 1,
          "max": null,
          "min": null,
          "show": true
        },
        {
          "format": "short",
          "label": "",
          "logBase": 1,
          "max": null,
          "min": null,
          "show": true
        }
      ],
      "yaxis": {
        "align": false,
        "alignLevel": null
      }
    },
    {
      "aliasColors": {},
      "bars": false,
      "dashLength": 10,
      "dashes": false,
      "datasource": "${DS_PROMETHEUS}",
      "decimals": 0,
      "fill": 1,
      "gridPos": {
        "h": 10,
        "w": 12,
        "x": 12,
        "y": 5
      },
      "id": 12,
      "legend": {
        "alignAsTable": false,
        "avg": false,
        "current": false,
        "max": false,
        "min": false,
        "rightSide": false,
        "show": true,
        "total": false,
        "values": false
      },
      "lines": true,
      "linewidth": 1,
      "links": [],
      "nullPointMode": "null",
      "options": {},
      "percentage": false,
      "pointradius": 2,
      "points": false,
      "renderer": "flot",
      "seriesOverrides": [],
      "spaceLength": 10,
      "stack": false,
      "steppedLine": false,
      "targets": [
        {
          "expr": "nginx_connections_active{instance=~\"$instance\"}",
          "format": "time_series",
          "intervalFactor": 1,
          "legendFormat": "{{instance}} active",
          "refId": "A"
        },
        {
          "expr": "nginx_connections_reading{instance=~\"$instance\"}",
          "format": "time_series",
          "intervalFactor": 1,
          "legendFormat": "{{instance}} reading",
          "refId": "B"
        },
        {
          "expr": "nginx_connections_waiting{instance=~\"$instance\"}",
          "format": "time_series",
          "intervalFactor": 1,
          "legendFormat": "{{instance}} waiting",
          "refId": "C"
        },
        {
          "expr": "nginx_connections_writing{instance=~\"$instance\"}",
          "format": "time_series",
          "intervalFactor": 1,
          "legendFormat": "{{instance}} writing",
          "refId": "D"
        }
      ],
      "thresholds": [],
      "timeFrom": null,
      "timeRegions": [],
      "timeShift": null,
      "title": "Active Connections",
      "tooltip": {
        "shared": true,
        "sort": 0,
        "value_type": "individual"
      },
      "type": "graph",
      "xaxis": {
        "buckets": null,
        "mode": "time",
        "name": null,
        "show": true,
        "values": []
      },
      "yaxes": [
        {
          "decimals": 0,
          "format": "short",
          "label": "Connections",
          "logBase": 1,
          "max": null,
          "min": null,
          "show": true
        },
        {
          "format": "short",
          "label": null,
          "logBase": 1,
          "max": null,
          "min": null,
          "show": true
        }
      ],
      "yaxis": {
        "align": false,
        "alignLevel": null
      }
    },
    {
      "aliasColors": {},
      "bars": false,
      "dashLength": 10,
      "dashes": false,
      "datasource": "${DS_PROMETHEUS}",
      "fill": 1,
      "gridPos": {
        "h": 8,
        "w": 24,
        "x": 0,
        "y": 15
      },
      "id": 15,
      "legend": {
        "avg": false,
        "current": false,
        "max": false,
        "min": false,
        "show": true,
        "total": false,
        "values": false
      },
      "lines": true,
      "linewidth": 1,
      "links": [],
      "nullPointMode": "null",
      "options": {},
      "percentage": false,
      "pointradius": 2,
      "points": false,
      "renderer": "flot",
      "seriesOverrides": [],
      "spaceLength": 10,
      "stack": false,
      "steppedLine": false,
      "targets": [
        {
          "expr": "irate(nginx_http_requests_total{instance=~\"$instance\"}[5m])",
          "format": "time_series",
          "intervalFactor": 1,
          "legendFormat": "{{instance}} total requests",
          "refId": "A"
        }
      ],
      "thresholds": [],
      "timeFrom": null,
      "timeRegions": [],
      "timeShift": null,
      "title": "Total requests",
      "tooltip": {
        "shared": true,
        "sort": 0,
        "value_type": "individual"
      },
      "type": "graph",
      "xaxis": {
        "buckets": null,
        "mode": "time",
        "name": null,
        "show": true,
        "values": []
      },
      "yaxes": [
        {
          "format": "short",
          "label": null,
          "logBase": 1,
          "max": null,
          "min": null,
          "show": true
        },
        {
          "format": "short",
          "label": null,
          "logBase": 1,
          "max": null,
          "min": null,
          "show": true
        }
      ],
      "yaxis": {
        "align": false,
        "alignLevel": null
      }
    }
  ],
  "refresh": "5s",
  "schemaVersion": 18,
  "style": "dark",
  "tags": [
    "nginx",
    "prometheus",
    "nginx prometheus exporter"
  ],
  "templating": {
    "list": [
      {
        "current": {
          "selected": false,
          "tags": [],
          "text": "default",
          "value": "default"
        },
        "hide": 0,
        "includeAll": false,
        "label": "datasource",
        "multi": false,
        "name": "DS_PROMETHEUS",
        "options": [],
        "query": "prometheus",
        "refresh": 1,
        "regex": "",
        "skipUrlSync": false,
        "type": "datasource"
      },
      {
        "allValue": null,
        "current": {},
        "datasource": "${DS_PROMETHEUS}",
        "definition": "label_values(nginx_up, instance)",
        "hide": 0,
        "includeAll": true,
        "label": "",
        "multi": true,
        "name": "instance",
        "options": [],
        "query": "label_values(nginx_up, instance)",
        "refresh": 1,
        "regex": "",
        "skipUrlSync": false,
        "sort": 0,
        "tagValuesQuery": "",
        "tags": [],
        "tagsQuery": "",
        "type": "query",
        "useTags": false
      }
    ]
  },
  "time": {
    "from": "now-15m",
    "to": "now"
  },
  "timepicker": {
    "refresh_intervals": [
      "5s",
      "10s",
      "30s",
      "1m",
      "5m",
      "15m",
      "30m",
      "1h",
      "2h",
      "1d"
    ],
    "time_options": [
      "5m",
      "15m",
      "1h",
      "6h",
      "12h",
      "24h",
      "2d",
      "7d",
      "30d"
    ]
  },
  "timezone": "",
  "title": "NGINX",
  "uid": "MsjffzSZz",
  "version": 1
}

prometheus ​

介绍 ​

官网 ​

下载（建议用docker） ​

docker部署prometheus和Grafana ​

接入案例 ​

All in one ​

单独接入的案例详解 ​

接入springboot ​

接入nginx ​

接入minio ​

接入opengauss ​

opengauss-exporter ​

DBMind ​

创建数据库用于监控的用户 ​

删除用户和数据库的方法 ​

删除用户 ​

删除数据库（如果需要把这个库也删除的话） ​

接入docker ​

可能遇到的问题 ​

仪表盘 ​

常用仪表盘 ​

node_exporter（1860） ​

redis（11835） ​

elasticsearch（14191） ​

postgre（9628） ​

jmx（14845） ​

nginx ​

docker（19908） ​

jmx overview（3457） ​

jvm（4701）（本次没用到，但是测试过了） ​

我的一些仪表盘配置 ​

prometheus

介绍

官网

下载（建议用docker）

docker部署prometheus和Grafana

接入案例

All in one

单独接入的案例详解

接入springboot

接入nginx

接入minio

接入opengauss

opengauss-exporter

DBMind

创建数据库用于监控的用户

删除用户和数据库的方法

删除用户

删除数据库（如果需要把这个库也删除的话）

接入docker

可能遇到的问题

仪表盘

常用仪表盘

node_exporter（1860）

redis（11835）

elasticsearch（14191）

postgre（9628）

jmx（14845）

nginx

docker（19908）

jmx overview（3457）

jvm（4701）（本次没用到，但是测试过了）

我的一些仪表盘配置