Octoapp

This is a generic application to be a target for monitoring tools.

Features

1. Dump a stack trace to ./logs/dynatracer.log
2. Dump a stack trace to ./logs/stacktraces.log
3. Spike the CPU for 10 seconds
4. Throw a New Relic error
5. Set the some_gauge metric to 20 or 40

Shows on-call info for the groups defined in ./data/data.json.

Installation Requirements

• git
• node and npm

git clone https://github.com/xMTinkerer/octoapp.git
cd octoapp
npm install

Run

Per the package.json, just fire up with npm. Pass USERNAME and PASSWORD to set the login credentials and XM_USERNAME, XM_PASSWORD, and XM_HOST for pulling the on-call information:

XM_USERNAME=xm_user XM_PASSWORD=password XM_HOST=acme.xmatters.com USERNAME=user PASSWORD=password npm start

Then navigate your browser to http://localhost:9988 and pick a button.

New Relic set up

Create a newrelic.js file with the following text. Substituting the license_key as needed:

 
'use strict'
/**
 * New Relic agent configuration.
 *
 * See lib/config.defaults.js in the agent distribution for a more complete
 * description of configuration variables and their potential values.
 */
exports.config = {
  /**
   * Array of application names.
   */
  app_name: ['octoapp'],
  /**
   * Your New Relic license key.
   */
  license_key: 'LICENSE KEY HERE',
  logging: {
    /**
     * Level at which to log. 'trace' is most useful to New Relic when diagnosing
     * issues with the agent, 'info' and higher will impose the least overhead on
     * production applications.
     */
    level: 'info'
  }
}

Prometheus tracking

Add this section to the $PROMETHEUS_HOME/prometheus.yml file:

  - job_name: 'octoapp'

    # Override the global default and scrape targets from this job every 5 seconds.
    scrape_interval: 2s
    #scrape_timeout: 5s

    # metrics_path defaults to '/metrics'
    # scheme defaults to 'http'.

    static_configs:
      - targets: ['localhost:9988']
        labels: 
          group: 'octo'