第13章 Prometheus metrics monitoring in Red Hat Decision Manager


Prometheus is an open-source systems monitoring toolkit that you can use with Red Hat Decision Manager to collect and store metrics related to the execution of business rules, processes, Decision Model and Notation (DMN) models, and other Red Hat Decision Manager assets. You can access the stored metrics through a REST API call to the KIE Server, through the Prometheus expression browser, or using a data-graphing tool such as Grafana.

You can configure Prometheus metrics monitoring for an on-premise KIE Server instance, for KIE Server on Spring Boot, or for a KIE Server deployment on Red Hat OpenShift Container Platform.

For the list of available metrics that KIE Server exposes with Prometheus, download the Red Hat Decision Manager 7.8.0 Source Distribution from the Red Hat Customer Portal and navigate to ~/rhdm-7.8.0-sources/src/droolsjbpm-integration-$VERSION/kie-server-parent/kie-server-services/kie-server-services-prometheus/src/main/java/org/kie/server/services/prometheus.

重要

Red Hat support for Prometheus is limited to the setup and configuration recommendations provided in Red Hat product documentation.

13.1. Configuring Prometheus metrics monitoring for KIE Server

You can configure your KIE Server instances to use Prometheus to collect and store metrics related to your business asset activity in Red Hat Decision Manager. For the list of available metrics that KIE Server exposes with Prometheus, download the Red Hat Decision Manager 7.8.0 Source Distribution from the Red Hat Customer Portal and navigate to ~/rhdm-7.8.0-sources/src/droolsjbpm-integration-$VERSION/kie-server-parent/kie-server-services/kie-server-services-prometheus/src/main/java/org/kie/server/services/prometheus.

Prerequisites

  • KIE Server is installed.
  • You have kie-server user role access to KIE Server.
  • Prometheus is installed. For information about downloading and using Prometheus, see the Prometheus documentation page.

Procedure

  1. In your KIE Server instance, set the org.kie.prometheus.server.ext.disabled system property to false to enable the Prometheus extension. You can define this property when you start KIE Server or in the standalone.xml or standalone-full.xml file of Red Hat Decision Manager distribution.
  2. If you are running Red Hat Decision Manager on Spring Boot, configure the required key in the application.properties system property:

    Spring Boot application.properties key for Red Hat Decision Manager and Prometheus

    kieserver.drools.enabled=true
    kieserver.dmn.enabled=true
    kieserver.prometheus.enabled=true
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  3. In the prometheus.yaml file of your Prometheus distribution, add the following settings in the scrape_configs section to configure Prometheus to scrape metrics from KIE Server:

    Scrape configurations in prometheus.yaml file

    scrape_configs:
      - job_name: 'kie-server'
        metrics_path: /SERVER_PATH/services/rest/metrics
        basicAuth:
          username: USER_NAME
          password: PASSWORD
        static_configs:
          - targets: ["HOST:PORT"]
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    Scrape configurations in prometheus.yaml file for Spring Boot (if applicable)

    scrape_configs:
      - job_name: 'kie'
        metrics_path: /rest/metrics
        static_configs:
          - targets: ["HOST:PORT"]
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    Replace the values according to your KIE Server location and settings.

  4. Start the KIE Server instance.

    Example start command for Red Hat Decision Manager on Red Hat JBoss EAP

    $ cd ~/EAP_HOME/bin
    $ ./standalone.sh --c standalone-full.xml
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    After you start the configured KIE Server instance, Prometheus begins collecting metrics and KIE Server publishes the metrics to the REST API endpoint http://HOST:PORT/SERVER/services/rest/metrics (or on Spring Boot, to http://HOST:PORT/rest/metrics).

  5. In a REST client or curl utility, send a REST API request with the following components to verify that KIE Server is publishing the metrics:

    For REST client:

    • Authentication: Enter the user name and password of the KIE Server user with the kie-server role.
    • HTTP Headers: Set the following header:

      • Accept: application/json
    • HTTP method: Set to GET.
    • URL: Enter the KIE Server REST API base URL and metrics endpoint, such as http://localhost:8080/kie-server/services/rest/metrics (or on Spring Boot, http://localhost:8080/rest/metrics).

    For curl utility:

    • -u: Enter the user name and password of the KIE Server user with the kie-server role.
    • -H: Set the following header:

      • accept: application/json
    • -X: Set to GET.
    • URL: Enter the KIE Server REST API base URL and metrics endpoint, such as http://localhost:8080/kie-server/services/rest/metrics (or on Spring Boot, http://localhost:8080/rest/metrics).

    Example curl command for Red Hat Decision Manager on Red Hat JBoss EAP

    curl -u 'baAdmin:password@1' -X GET "http://localhost:8080/kie-server/services/rest/metrics"
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    Example curl command for Red Hat Decision Manager on Spring Boot

    curl -u 'baAdmin:password@1' -X GET "http://localhost:8080/rest/metrics"
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    Example server response

    # HELP kie_server_container_started_total Kie Server Started Containers
    # TYPE kie_server_container_started_total counter
    kie_server_container_started_total{container_id="task-assignment-kjar-1.0",} 1.0
    # HELP solvers_running Number of solvers currently running
    # TYPE solvers_running gauge
    solvers_running 0.0
    # HELP dmn_evaluate_decision_nanosecond DMN Evaluation Time
    # TYPE dmn_evaluate_decision_nanosecond histogram
    # HELP solver_duration_seconds Time in seconds it took solver to solve the constraint problem
    # TYPE solver_duration_seconds summary
    solver_duration_seconds_count{solver_id="100tasks-5employees.xml",} 1.0
    solver_duration_seconds_sum{solver_id="100tasks-5employees.xml",} 179.828255925
    solver_duration_seconds_count{solver_id="24tasks-8employees.xml",} 1.0
    solver_duration_seconds_sum{solver_id="24tasks-8employees.xml",} 179.995759653
    # HELP drl_match_fired_nanosecond Drools Firing Time
    # TYPE drl_match_fired_nanosecond histogram
    # HELP dmn_evaluate_failed_count DMN Evaluation Failed
    # TYPE dmn_evaluate_failed_count counter
    # HELP kie_server_start_time Kie Server Start Time
    # TYPE kie_server_start_time gauge
    kie_server_start_time{name="myapp-kieserver",server_id="myapp-kieserver",location="http://myapp-kieserver-demo-monitoring.127.0.0.1.nip.io:80/services/rest/server",version="7.4.0.redhat-20190428",} 1.557221271502E12
    # HELP kie_server_container_running_total Kie Server Running Containers
    # TYPE kie_server_container_running_total gauge
    kie_server_container_running_total{container_id="task-assignment-kjar-1.0",} 1.0
    # HELP solver_score_calculation_speed Number of moves per second for a particular solver solving the constraint problem
    # TYPE solver_score_calculation_speed summary
    solver_score_calculation_speed_count{solver_id="100tasks-5employees.xml",} 1.0
    solver_score_calculation_speed_sum{solver_id="100tasks-5employees.xml",} 6997.0
    solver_score_calculation_speed_count{solver_id="24tasks-8employees.xml",} 1.0
    solver_score_calculation_speed_sum{solver_id="24tasks-8employees.xml",} 19772.0
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    If the metrics are not available in KIE Server, review and verify the KIE Server and Prometheus configurations described in this section.

    You can also interact with your collected metrics in the Prometheus expression browser at http://HOST:PORT/graph, or integrate your Prometheus data source with a data-graphing tool such as Grafana:

    図13.1 Prometheus expression browser with KIE Server metrics

    図13.2 Prometheus expression browser with KIE Server target

    図13.3 Grafana dashboard with KIE Server metrics for DMN models

    図13.4 Grafana dashboard with KIE Server metrics for solvers

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