代码拉取完成，页面将自动刷新
These examples demonstrate how to use the Vert.x Micrometer Metrics module.
There are examples for Prometheus, InfluxDB and JMX backends.
Each of them deploys 3 verticles:
SimpleWebServer creates an HTTP server - visit http://localhost:8080/ to trigger requests.
EventbusProducer sends messages over the event bus.
EventbusConsumer receives event bus messages.
Each simulates a random processing time.
For Prometheus, the verticle WebServerForBoundPrometheus is an alternative of SimpleWebserver
that binds the prometheus /metrics endpoint to an existing HTTP server.
First, build the fat jar:
mvn clean package
Then run any of these Main classes:
Note: check here for Prometheus getting started guide.
java -cp target/micrometer-metrics-examples-3.8.2-fat.jar io.vertx.example.micrometer.prometheus.Main
You need to configure the Prometheus server to scrape localhost:8081.
- job_name: 'vertx-8081'
static_configs:
- targets: ['localhost:8081']
By default, histogram sampling is disabled.
You can enable it manually in the Micrometer registry, as shown in commented code in class
io.vertx.example.micrometer.prometheus.Main:
registry.config().meterFilter(
new MeterFilter() {
@Override
public DistributionStatisticConfig configure(Meter.Id id, DistributionStatisticConfig config) {
return DistributionStatisticConfig.builder()
.percentilesHistogram(true)
.build()
.merge(config);
}
});
See also Micrometer documentation.
java -cp target/micrometer-metrics-examples-3.8.2-fat.jar io.vertx.example.micrometer.ometheus.MainWithBoundPrometheus
You need to configure the Prometheus server to scrape localhost:8080.
- job_name: 'vertx-8080'
static_configs:
- targets: ['localhost:8080']
This sample application expects an InfluxDB server running on localhost, port 8086, without authentication. For quick setup, you can run it with this docker command:
docker run -p 8086:8086 influxdb
Start the application:
java -cp target/micrometer-metrics-examples-3.8.2-fat.jar io.vertx.example.micrometer.influxdb.Main
You can trigger some workload to see the impact on HTTP server metrics:
while true
do curl http://localhost:8080/
sleep .8
done
此处可能存在不合适展示的内容，页面不予展示。您可通过相关编辑功能自查并修改。
如您确认内容无涉及 不当用语 / 纯广告导流 / 暴力 / 低俗色情 / 侵权 / 盗版 / 虚假 / 无价值内容或违法国家有关法律法规的内容，可点击提交进行申诉，我们将尽快为您处理。
马建仓 AI 助手
