Java Metrics

Instrumenting Metric Values

  1. First, set up the Java Agent.

  2. In the zorka/scripts/ directory, create a .bsh file for the application you want to monitor.

  3. Call zorka.require to load any extension scripts your application depends on.

  4. Define the function(s) you want Zorka to monitor using the template below. The template will establish namespace by creating a function that returns a reference to its own instance and then defines a variable that holds an instance of the function.

    __myapp() {
    //function code
    //goes here
    myapp = __myapp();
  5. Within the function(s) you created in the previous, complete the following:

    • Define the JMX mbean that will host the method call statistics.

    • Create a configuration section that zorka can spy on.

  6. Specify which method will be instrumented.

    include(spy.byMethod("com.netuitive.agent.myappclass", "invoke")));
  7. Navigate to the file, and add the file you created in step 2 to the list of loaded

  8. Update the setting to your application’s name.zorka.application.

  9. Save all edited files and restart the Java agent. You should find your JVM element in CloudWisdom with general JVM system metrics and MyAppStats method call metrics.

Config Options

Add an Action on Method Entry

 .onEnter(spy.zorkaLog("INFO", "MyApp", "Request occurred."))

If you have multiple actions, separate them with a comma.

  spy.fetchArg("operator", 1),
  spy.zorkaLog("INFO", "MYAPP", "${operator}"))

Declare Additional Metric Names

 spy.zorkaStats(mbsName, beanName, attrName, keyExpr, timeField, actions)
  • mbsName is name of your mbean server (typically java or jboss).

  • beanName is the name of the mbean used to host statistics in the file.

  • attrName is the name of the attribute where the ZorkaStats object will be visible.

  • keyExpr is the value used as a key in ZorkaStats.

  • timeField indicates the field that stores method execution time (the defaults to T if not passed).

  • actions determines what should be done when aggregating data.