* Dependency the toolkit, such as using maven or gradle ```xml org.apache.skywalking apm-toolkit-meter ${skywalking.version} ``` If you're using Spring sleuth, you could use [Spring Sleuth Setup](./../../backend/spring-sleuth-setup.md). * `Counter` API represents a single monotonically increasing counter, automatic collect data and report to backend. ```java import org.apache.skywalking.apm.toolkit.meter.MeterFactory; Counter counter = MeterFactory.counter(meterName).tag("tagKey", "tagValue").mode(Counter.Mode.INCREMENT).build(); counter.increment(1d); ``` 1. `MeterFactory.counter` Create a new counter builder with the meter name. 1. `Counter.Builder.tag(String key, String value)` Mark a tag key/value pair. 1. `Counter.Builder.mode(Counter.Mode mode)` Change the counter mode, `RATE` mode means reporting rate to the backend. 1. `Counter.Builder.build()` Build a new `Counter` which is collected and reported to the backend. 1. `Counter.increment(double count)` Increment count to the `Counter`, It could be a positive/negative value. * `Gauge` API represents a single numerical value. ```java import org.apache.skywalking.apm.toolkit.meter.MeterFactory; ThreadPoolExecutor threadPool = ...; Gauge gauge = MeterFactory.gauge(meterName, () -> threadPool.getActiveCount()).tag("tagKey", "tagValue").build(); ``` 1. `MeterFactory.gauge(String name, Supplier getter)` Create a new gauge builder with the meter name and supplier function, this function need to return a `double` value. 1. `Gauge.Builder.tag(String key, String value)` Mark a tag key/value pair. 1. `Gauge.Builder.build()` Build a new `Gauge` which is collected and reported to the backend. * `Histogram` API represents a summary sample observations with customize buckets. ```java import org.apache.skywalking.apm.toolkit.meter.MeterFactory; Histogram histogram = MeterFactory.histogram("test").tag("tagKey", "tagValue").steps(Arrays.asList(1, 5, 10)).minValue(0).build(); histogram.addValue(3); ``` 1. `MeterFactory.histogram(String name)` Create a new histogram builder with the meter name. 1. `Histogram.Builder.tag(String key, String value)` Mark a tag key/value pair. 1. `Histogram.Builder.steps(List steps)` Set up the max values of every histogram buckets. 1. `Histogram.Builder.minValue(double value)` Set up the minimal value of this histogram, default is `0`. 1. `Histogram.Builder.build()` Build a new `Histogram` which is collected and reported to the backend. 1. `Histogram.addValue(double value)` Add value into the histogram, automatically analyze what bucket count needs to be increment. rule: count into [step1, step2).