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This page describes the steps to setup set up a Prometheus monitoring server to obtain metrics data from your deployment.

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Setup with example Prometheus configuration file

  1. Go to the extracted Prometheus directory.

    Code Block
    cd prometheus-*
  2. Create a yaml file named prometheus_mz.yaml as follows.

    Code Block
    # my global config
    global:
      scrape_interval:     15s # Set the scrape interval to every 15 seconds. Default is every 1 minute.
      evaluation_interval: 15s # Evaluate rules every 15 seconds. The default is every 1 minute.
      # scrape_timeout is set to the global default (10s).
    # A scrape configuration containing exactly one endpoint to scrape:
    # Here it's Prometheus itself.
    scrape_configs:
      # The job name is added as a label `job=<job_name>` to any timeseries scraped from this config.
      #- job_name: 'prometheus'
      #  # metrics_path defaults to '/metrics'
      #  # scheme defaults to 'http'.
      #  static_configs:
      #  - targets: ['localhost:9090']
      - job_name: 'mz'
        static_configs:
        - targets: ['localhost:8888'] # port defined in the topo STR config
          labels:
            pico: 'platform'
        - targets: ['localhost:9090'] # port defined in the topo STR config
          labels:
            pico: 'ec1'

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  1. Create a yaml file named jmxExport.yml as follows.
    For more information on the yaml file, refer to jmx_exporter/docs at main · prometheus/jmx_exporter (github.com).

    Code Block
    startDelaySeconds: 0
    ssl: false
    lowercaseOutputName: false
    lowercaseOutputLabelNames: false
  2. Add the following jvmargs to the platform topo configuration:.

    Code Block
    $ mzsh topo set topo://container:main1/pico:platform/obj:config.jvmargs.args \
    '["-javaagent:common/lib/jmx_prometheus_javaagent.jar=8888:<path>/jmxExporter.yaml"]'
  3. Restart the Platform.

    Code Block
    $ mzsh restart platform

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