Learn about the Micrometer Integration.

Micrometer Integration

To send Java application metrics to Wavefront you can use the Micrometer metrics library and the Wavefront registry. The registry sends data to Wavefront using the Wavefront proxy, or it can send metrics directly to Wavefront services.

Starting with Spring Boot 2.0.0.M5, Micrometer is the instrumentation library powering the delivery of application metrics from Spring. The micrometer-spring-legacymodule provides drop-down support for Spring Boot 1.5.x.

This is a custom integration. You can send your own metrics and create your own dashboards.

Micrometer Setup

Wavefront has a reporter for Micrometer: Wavefront reporter for Micrometer.

This page gives the setup steps. See the Wavefront section of the Spring Boot Reference Guide for some additional information.

Step 1. Set up Wavefront Proxy

If you do not have a Wavefront proxy installed on your network and reachable from your Java application, install a proxy. You configure the Wavefront proxy hostname and port (by default 2878) when you create the reporter.

Step 2. Set up Maven or Gradle

Add the Micrometer io.micrometer, and org.slf4j libraries as dependencies in your project:

POM.xml

If you are using Maven, add the following:

<dependency>
  <groupId>org.slf4j</groupId>
  <artifactId>slf4j-api</artifactId>
  <version>LATEST</version>
</dependency>
<dependency>
  <groupId>io.micrometer</groupId>
  <artifactId>micrometer-registry-wavefront</artifactId>
  <version>LATEST</version>
</dependency>

build.gradle

If you are using Gradle, add the following:

compile 'io.micrometer:micrometer-registry-wavefront:latest.release'

Step 3. Wavefront Configurations

Configuration Using the Wavefront Proxy

WavefrontConfig config = new WavefrontConfig() {
    @Override
    public String uri() {
        return "proxy://localhost:2878"; (1)
    }

    @Override
    public String get(String key) {
        return null; (2)
    }

    @Override
    public String prefix() {
        return "wavefront";
    }
};
MeterRegistry registry = new WavefrontMeterRegistry(config, Clock.SYSTEM);
  1. For URI, use the format proxy://HOST:PORT.
  2. Accept the defaults for other fields.

Configuration for Sending Data Directly to Wavefront

WavefrontConfig config = new WavefrontConfig() {
    @Override
    public String uri() {
        return "https://YOUR_CLUSTER.wavefront.com"; // (1)
    }

    @Override
    public String apiToken() {
        return "YOUR_API_TOKEN"; // (2)
    }

    @Override
    public String get(String key) {
        return null; // (3)
    }

    @Override
    public String prefix() {
        return "wavefront";
    }
};
MeterRegistry registry = new WavefrontMeterRegistry(config, Clock.SYSTEM);
  1. This configuration file uses https://YOUR_CLUSTER.wavefront.com, which is the Wavefront instance that is going to receive data.
  2. API token is the token that you can use to access the Wavefront API. Details can be found here.
  3. Accept the defaults for other fields.

Example

The following code fragment creates a Wavefront registry that emits data every 10 seconds for:

  • A Wavefront proxy on localhost at port 2878
  • Data that should appear with the source app-1.company.com
  • Reporter-level point tags named dc and service
  • A counter metric micrometer.counter
import io.micrometer.core.instrument.Clock
import io.micrometer.core.instrument.Counter;
import io.micrometer.core.instrument.MeterRegistry;
import io.micrometer.wavefront.WavefrontConfig;
import io.micrometer.wavefront.WavefrontMeterRegistry;
import java.time.Duration;

public class SimpleWavefrontProxyTest extends Thread {

    MeterRegistry registry = null;
    Counter counter = null;
    int no = 0;

    public SimpleWavefrontProxyTest(WavefrontConfig config) {
        registry = new WavefrontMeterRegistry(config, Clock.SYSTEM);
        counter = registry.counter("micrometer.counter", "dc", "west", "service", "app");
    }

    public static void main(String[] args) {
        final String proxyHost = "localhost";
        final int proxyPort = 2878;
        final WavefrontConfig config = new WavefrontConfig() {
            @Override
            public String uri() {
                return "proxy://" + proxyHost + ":" + proxyPort;
            }

            @Override
            public String source() {
                return "app-1.company.com";
            }

            @Override
            public String get(String key) {
                return null;
            }

            @Override
            public Duration step(){
              return Duration.ofSeconds(10);
            }

            @Override
            public String prefix() {
                return "wavefront";
            }
        };

        SimpleWavefrontProxyTest test = new SimpleWavefrontProxyTest(config);
        try {
            test.start();
        }
        catch(Exception e) {
            e.printStackTrace();
        }
    }

    @Override
    public void run() {
        while(true) {
            // increment a counter
            counter.increment();
            no++;
            System.out.println(no + " count: " + counter.count());
            try {
                sleep(1000);
            }
            catch(Exception e) {
                e.printStackTrace();
            }
        }
    }
}

JVM Metrics

Micrometer provides several binders for monitoring the JVM.

new ClassLoaderMetrics().bindTo(registry); (1)
new JvmMemoryMetrics().bindTo(registry); (2)
new JvmGcMetrics().bindTo(registry); (3)
new ProcessorMetrics().bindTo(registry); (4)
new JvmThreadMetrics().bindTo(registry); (5)
  1. Gauges loaded and unloaded classes.
  2. Gauges buffer and memory pool utilization.
  3. Gauges max and live data size, promotion and allocation rates, and times GC pauses (or concurrent phase time in the case of CMS).
  4. Gauges current CPU total and load average.
  5. Gauges thread peak, number of daemon threads, and live threads.
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