1.prometheus

nohup ./prometheus --config.file=prometheus.yml &

prometheus.yml

# 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).
  external_labels:
    component_typeName: Prometheus
    component_name: prometheus_remote_write_Prometheus Remote Write数据源
    component_builtin: 0
# 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"
   # scheme: 'https' 
   # tls_config:
    #  insecure_skip_verify: true
    # metrics_path defaults to '/metrics'
    # scheme defaults to 'http'.

    static_configs:
      - targets: ["localhost:9090"]

  - job_name: node
    static_configs:
    - targets: ['localhost:9100', 'localhost:9101']
  
  - job_name: mysql
    static_configs:  
    - targets: ['localhost:9103']
  
  - job_name: docker-cadvisor
    static_configs:  
    - targets: ['localhost:8082']
  

  - job_name: statsd
    static_configs:
    - targets: ['localhost:9102']
# remote write config
remote_write:
  - url: http://ip:port/APM/prom/push?pv=590848&pfg=AAD&pft=2&acid=86030311-df2a-11ed-8eb2-5a18c2525e2c&msgtype=0&mid=AF10BB3A-F9EE-5831-E666-000000000000
  #- url: http://ip:port/APM/prom/push?pv=590848&pfg=AAD&pft=2&acid=b3396acc-ea18-4c46-bb1a-8fcf5baf6e9f&msgtype=0&mid=4588A369-3BD2-0E48-B56A-86B87C9EB906
#write_relabel_configs:
 # url: http://localhost:8080/api/v1/write
 # basic_auth:
 #   username: access-key-id
  #  password: access-key-secret
  #queue_config:
   # batch_send_deadline: 20s
 # capacity: 20480
  #max_backoff: 5s
  #max_samples_per_send: 2048
  #min_backoff: 100ms
  #min_shards: 100

2.node_exporter

node_exporter：

[Unit]
Description=node_exporter
After=network.target

[Service]
ExecStart=/usr/local/bin/node_exporter\
          --web.listen-address=:9101\
          --collector.systemd\
          --collector.systemd.unit-whitelist=(sshd|nginx).service\
          --collector.processes\
          --collector.tcpstat

[Install]
WantedBy=multi-user.target

3.mysql_exporter

mysql_exporter：
vim /etc/systemd/system/mysqld_exporter.service
systemctl daemon-reload
systemctl enable --now mysqld_exporter
systemctl status mysqld_exporter

[Unit]
Description=mysqld monitor
After=network.target

[Service]
Environment=DATA_SOURCE_NAME=username:password@(ip:3306)/
ExecStart=/usr/local/bin/mysqld_exporter --web.listen-address=:9103
ExecStop=-/sbin/start-stop-daemon --quiet --stop --retry QUIT/5
TimeoutStopSec=5
KillMode=mixed

[Install]
WantedBy=multi-user.target

4.kafka_exporter

[Unit]
Description=kafka_exporter
After=local-fs.target network-online.target network.target
Wants=local-fs.target network-online.target network.target

[Service]
ExecStart=/usr/local/bin/kafka_exporter --kafka.server=ip:9092 --web.listen-address=:9038
Restart=on-failure

[Install]
WantedBy=multi-user.target

5.查询的时候

{job="mysql"}

6.OpenMetrics规范

指标名称(Metric name):指标的唯一标识符,通常采用键值对的方式组织。
指标样本(Samples):一个时间戳与数值对,表示一个指标在某个时间点上的监测值。
指标类型(Type):指标的类型,如counter、gauge等。
指标标签(Labels):对指标进行描述和区分的一组键值对标签。
指标注释(Help text):对指标的文字描述。

参考

• OpenMetrics
• OpenMetric与时序数据库存储模型分析