Prometheus+Grafana学习(十一)安装使用pushgateway

Pushgateway允许短暂和批量作业将其指标暴露给 Prometheus。由于这些工作的生命周期可能不足够长,不能够存在足够的时间以让 Prometheus 抓取它们的指标。Pushgateway 允许它们可以将其指标推送到 Pushgateway,然后 Pushgateway 再将这些指标暴露给 Prometheus 抓取。
盲目的使用Pushgateway来代替Prometheus常用的拉动模型(pull model)来收集指标,会有以下几种问题: 1.通过单个 Pushgateway 监控多个实例时, Pushgateway 将会成为单点故障和潜在瓶颈 2.当你通过 up 命令(每次擦出时生成),将丢失 Prometheus 自动实例运行状态监控 3.Pushgateway 不会忘记推送时间序列并将永远暴露给 Prometheus,除非这些序列是通过 Pushgateway 的 API 手动删除的

1、下载pushgateway

下载地址:

2、修改prometheus的配置

修改prometheus.yml,添加pushgateway的job

# 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 its 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:
      - targets: ["localhost:9090"]

#  - job_name: "station"
#    metrics_path: /prometheus
#    static_configs:
#      - targets: ["localhost:14501"]
 
  - job_name: "pushgateway"
    honor_labels: true
    static_configs:
      - targets: ["localhost:9091"]
        labels:
          instance: pushgateway

3、启动pushgateway

解压pushgateway 点击pushgateway.exe运行

4、测试推送数据到pushgateway(java)

引入依赖

<dependencies>
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-web</artifactId>
        </dependency>

        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-actuator</artifactId>
        </dependency>
        <dependency>
            <groupId>io.micrometer</groupId>
            <artifactId>micrometer-registry-prometheus</artifactId>
        </dependency>
        <dependency>
            <groupId>io.prometheus</groupId>
            <artifactId>simpleclient_pushgateway</artifactId>
            <version>0.16.0</version>
        </dependency>
    </dependencies>
@Autowired
private CollectorRegistry collectorRegistry;

PushGateway pushGateway= new PushGateway("http://localhost:9091");
Guage stationSystemCpuTotal = Gauge.build()
                .name("cpu_total")
                .help("Number of CPU cores on the station.")
                .unit("C")
                .labelNames("a","b")
                .register(collectorRegistry);
stationSystemCpuTotal.labels("A", "B").set(10);  
Map<String, String> groupingKey = new HashMap<>() {
          
   {
          
   
            put("collector_name", "cpu");
        }};
pushGateway.pushAdd(stationSystemCpuTotal , "test-job", groupingKey);

5、查看pushgatway

6、查看Prometheus

经验分享 程序员 微信小程序 职场和发展