Chapter 7. Develop Micrometer application for JBoss EAP
7.1. Integrating Micrometer metrics in JBoss EAP Copy linkLink copied to clipboard!
Using Micrometer, you can monitor and collect application metrics in JBoss EAP. Micrometer support provides the exposure of application metrics. The export process is PUSH-based, ensuring that metrics are sent to an OpenTelemetry Collector.
Prerequisites
- You have installed JDK 17.
- You have installed the Maven 3.6 or later version. For more information, see Downloading Apache Maven.
- You have installed Docker. For more information, see Get Docker.
- Optional: You have podman installed on your system. Use the latest podman version available on supported RHEL. For more information, see Red Hat JBoss Enterprise Application Platform 8.1 Supported Configurations.
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The
configure-micrometer.clifile is available in the application root directory.
The example in this section, including how to use the configure-micrometer.cli file, is based on the Micrometer Quickstart.
Procedure
- Open a terminal.
Start JBoss EAP as a standalone server by using the following script:
$ <EAP_HOME>/bin/standalone.sh -c standalone-microprofile.xmlNoteFor Windows server, use the
<EAP_HOME>\bin\standalone.batscript.- Open a new terminal.
- Navigate to the application root directory.
Run the following command to configure the server:
$ <EAP_HOME>/bin/jboss-cli.sh --connect --file=configure-micrometer.cliNoteFor Windows server, use the
<EAP_HOME>\bin\jboss-cli.batscript.Replace <EAP_HOME> with the path to your server.
Expected output:
The batch executed successfully process-state: reload-requiredReload the server with the following management command:
$ <EAP_HOME>/bin/jboss-cli.sh --connect --commands=reloadCreate a configuration file named
docker-compose.yamlwith the following content:version: "3" services: otel-collector: image: otel/opentelemetry-collector command: [--config=/etc/otel-collector-config.yaml] volumes: - ./otel-collector-config.yaml:/etc/otel-collector-config.yaml:Z ports: - 1888:1888 # pprof extension - 8888:8888 # Prometheus metrics exposed by the collector - 8889:8889 # Prometheus exporter metrics - 13133:13133 # health_check extension - 4317:4317 # OTLP gRPC receiver - 4318:4318 # OTLP http receiver - 55679:55679 # zpages extension - 1234:1234 # /metrics endpointCreate a configuration file named
otel-collector-config.yamlwith the following content:extensions: health_check: pprof: endpoint: 0.0.0.0:1777 zpages: endpoint: 0.0.0.0:55679 receivers: otlp: protocols: grpc: http: processors: batch: exporters: prometheus: endpoint: "0.0.0.0:1234" service: pipelines: metrics: receivers: [otlp] processors: [batch] exporters: [prometheus] extensions: [health_check, pprof, zpages]Start the collector server instance by running the following command:
$ docker-compose upNoteYou can also use Podman instead of Docker. If you choose Podman, then use the
$ podman-compose upcommand instead of$ docker-compose up. If Docker or Podman is not supported in your environment, then see Otel Collector documentation for guidance on installing and running the OpenTelemetry Collector.In the
RootResourceclass, see how theMeterRegistryis injected into your class to ensure proper setup before registering the meters.@Path("/") @ApplicationScoped public class RootResource { // ... @Inject private MeterRegistry registry; private Counter performCheckCounter; private Counter originalCounter; private Counter duplicatedCounter; @PostConstruct private void createMeters() { Gauge.builder("prime.highestSoFar", () -> highestPrimeNumberSoFar) .description("Highest prime number so far.") .register(registry); performCheckCounter = Counter .builder("prime.performedChecks") .description("How many prime checks have been performed.") .register(registry); originalCounter = Counter .builder("prime.duplicatedCounter") .tags(List.of(Tag.of("type", "original"))) .register(registry); duplicatedCounter = Counter .builder("prime.duplicatedCounter") .tags(List.of(Tag.of("type", "copy"))) .register(registry); } // ... }Inspect the
checkIfPrime()method body to see how to use the registered meters within your application logic. For example:@GET @Path("/prime/{number}") public String checkIfPrime(@PathParam("number") long number) throws Exception { performCheckCounter.increment(); Timer timer = registry.timer("prime.timer"); return timer.recordCallable(() -> { if (number < 1) { return "Only natural numbers can be prime numbers."; } if (number == 1) { return "1 is not prime."; } if (number == 2) { return "2 is prime."; } if (number % 2 == 0) { return number + " is not prime, it is divisible by 2."; } for (int i = 3; i < Math.floor(Math.sqrt(number)) + 1; i = i + 2) { try { Thread.sleep(10); } catch (InterruptedException e) { // } if (number % i == 0) { return number + " is not prime, is divisible by " + i + "."; } } if (number > highestPrimeNumberSoFar) { highestPrimeNumberSoFar = number; } return number + " is prime."; }); }Navigate to the application root directory.
Syntax
$ cd <path_to_application_root>/<application_root>Example, in reference to the Micrometer Quickstart:
$ cd ~/quickstarts/micrometerCompile and deploy the application with the following command:
$ mvn clean package wildfly:deployThis deploys
micrometer/target/micrometer.warto the running server.
Verification
Access the application by using a web browser or you can run the following command.
$ curl http://localhost:8080/micrometer/prime/13Expected output
13 is prime.