Skip to content

Latest commit

 

History

History
161 lines (119 loc) · 4.72 KB

instrumentation.md

File metadata and controls

161 lines (119 loc) · 4.72 KB
stage group info
Monitor
Health
To determine the technical writer assigned to the Stage/Group associated with this page, see https://about.gitlab.com/handbook/engineering/ux/technical-writing/#assignments

Instrumenting Ruby code

GitLab Performance Monitoring allows instrumenting of both methods and custom blocks of Ruby code. Method instrumentation is the primary form of instrumentation with block-based instrumentation only being used when we want to drill down to specific regions of code within a method.

Please refer to Product Analytics if you are tracking product usage patterns.

Instrumenting Methods

Instrumenting methods is done by using the Gitlab::Metrics::Instrumentation module. This module offers a few different methods that can be used to instrument code:

  • instrument_method: Instruments a single class method.
  • instrument_instance_method: Instruments a single instance method.
  • instrument_class_hierarchy: Given a Class, this method recursively instruments all sub-classes (both class and instance methods).
  • instrument_methods: Instruments all public and private class methods of a Module.
  • instrument_instance_methods: Instruments all public and private instance methods of a Module.

To remove the need for typing the full Gitlab::Metrics::Instrumentation namespace you can use the configure class method. This method simply yields the supplied block while passing Gitlab::Metrics::Instrumentation as its argument. An example:

Gitlab::Metrics::Instrumentation.configure do |conf|
  conf.instrument_method(Foo, :bar)
  conf.instrument_method(Foo, :baz)
end

Using this method is in general preferred over directly calling the various instrumentation methods.

Method instrumentation should be added in the initializer config/initializers/zz_metrics.rb.

Examples

Instrumenting a single method:

Gitlab::Metrics::Instrumentation.configure do |conf|
  conf.instrument_method(User, :find_by)
end

Instrumenting an entire class hierarchy:

Gitlab::Metrics::Instrumentation.configure do |conf|
  conf.instrument_class_hierarchy(ActiveRecord::Base)
end

Instrumenting all public class methods:

Gitlab::Metrics::Instrumentation.configure do |conf|
  conf.instrument_methods(User)
end

Checking Instrumented Methods

The easiest way to check if a method has been instrumented is to check its source location. For example:

method = Banzai::Renderer.method(:render)

method.source_location

If the source location points to lib/gitlab/metrics/instrumentation.rb you know the method has been instrumented.

If you're using Pry you can use the $ command to display the source code of a method (along with its source location), this is easier than running the above Ruby code. In case of the above snippet you'd run the following:

  • $ Banzai::Renderer.render

This prints a result similar to:

From: /path/to/your/gitlab/lib/gitlab/metrics/instrumentation.rb @ line 148:
Owner: #<Module:0x0055f0865c6d50>
Visibility: public
Number of lines: 21

def #{name}(#{args_signature})
  if trans = Gitlab::Metrics::Instrumentation.transaction
    trans.measure_method(#{label.inspect}) { super }
  else
    super
  end
end

Instrumenting Ruby Blocks

Measuring blocks of Ruby code is done by calling Gitlab::Metrics.measure and passing it a block. For example:

Gitlab::Metrics.measure(:foo) do
  ...
end

The block is executed and the execution time is stored as a set of fields in the currently running transaction. If no transaction is present the block is yielded without measuring anything.

Three values are measured for a block:

  • The real time elapsed, stored in NAME_real_time.
  • The CPU time elapsed, stored in NAME_cpu_time.
  • The call count, stored in NAME_call_count.

Both the real and CPU timings are measured in milliseconds.

Multiple calls to the same block results in the final values being the sum of all individual values. Take this code for example:

3.times do
  Gitlab::Metrics.measure(:sleep) do
    sleep 1
  end
end

Here, the final value of sleep_real_time is 3, and not 1.

Tracking Custom Events

Besides instrumenting code GitLab Performance Monitoring also supports tracking of custom events. This is primarily intended to be used for tracking business metrics such as the number of Git pushes, repository imports, and so on.

To track a custom event simply call Gitlab::Metrics.add_event passing it an event name and a custom set of (optional) tags. For example:

Gitlab::Metrics.add_event(:user_login, email: current_user.email)

Event names should be verbs such as push_repository and remove_branch.