SpringBoot结合prometheus自定义埋点实践

import io.micrometer.core.instrument.MeterRegistry;
import io.micrometer.core.instrument.binder.jvm.JvmThreadMetrics;
import io.micrometer.core.instrument.binder.system.ProcessorMetrics;
import io.micrometer.prometheus.PrometheusMeterRegistry;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
 
@Configuration
public class MetricsConfig {
 
    @Bean
    public MeterRegistry meterRegistry() {
        return new PrometheusMeterRegistry(PrometheusMeterRegistry.config()
                .commonTags("application", "my-spring-boot-application"));
    }
 
    @Bean
    public JvmThreadMetrics jvmThreadMetrics() {
        return new JvmThreadMetrics();
    }
 
    @Bean
    public ProcessorMetrics processorMetrics() {
        return new ProcessorMetrics();
    }
 
    // 以下是自定义的埋点示例
    @Bean
    public MyCustomMetrics myCustomMetrics(MeterRegistry registry) {
        return new MyCustomMetrics(registry);
    }
}
 
class MyCustomMetrics {
    private final MeterRegistry registry;
 
    public MyCustomMetrics(MeterRegistry registry) {
        this.registry = registry;
        // 在这里添加自定义的埋点逻辑
    }
 
    // 自定义的埋点方法
    public void recordMyCustomMetric(String key, double value) {
        registry.counter(key, "type", "myCustomMetric").increment(value);
    }
}

这个代码示例展示了如何在Spring Boot应用程序中配置Prometheus和Micrometer，并添加了JVM线程和处理器指标的监控以及自定义的埋点逻辑。这是一个很好的实践，可以作为开发者在集成Prometheus和Spring Boot时的参考。