Reports job metrics using Shopify's statsd-instrument library, incrementing a counter for each enqueue and dequeue per job type, and timing the full runtime of your perform method.

Add this line to your application's Gemfile:

gem 'sidekiq-instrument'

And then execute:

$ bundle

Or install it yourself as:

$ gem install sidekiq-instrument

For now, this library assumes you have already initialized StatsD on your own; the statsd-instrument gem may have chosen reasonable defaults for you already. If not, a typical Rails app would just use an initializer:

# config/initializers/statsd.rb
require 'statsd-instrument'
StatsD.prefix  = 'my-app'
StatsD.backend = StatsD::Instrument::Backends::UDPBackend.new('some-server:8125')

Then add the client and server middlewares in your Sidekiq initializer:

require 'sidekiq/instrument'

Sidekiq.configure_server do |config|
  config.server_middleware do |chain|
    chain.add Sidekiq::Instrument::ServerMiddleware
  end

  config.client_middleware do |chain|
    chain.add Sidekiq::Instrument::ClientMiddleware
  end
end

Sidekiq.configure_client do |config|
  config.client_middleware do |chain|
    chain.add Sidekiq::Instrument::ClientMiddleware
  end
end

For each job, the following metrics will be reported:

1. shared.sidekiq.queue.job.enqueue: counter incremented each time a job is pushed onto the queue.
2. shared.sidekiq.queue.job.dequeue: counter incremented just before worker begins performing a job.
3. shared.sidekiq.queue.job.runtime: timer of the total time spent in perform, in milliseconds.
4. shared.sidekiq.queue.job.error: counter incremented each time a job fails.

The metric names can be changed by overriding the statsd_metric_name method in your worker classes.

For each queue, the following metrics will be reported:

1. shared.sidekiq.queue.size: gauge of how many jobs are in the queue
2. shared.sidekiq.queue.latency: gauge of how long the oldest job has been in the queue

There is a worker, Sidekiq::Instrument::Worker, that submits gauges for various interesting statistics; namely, the bulk of the information in Sidekiq::Stats and the sizes of each individual queue. While the worker class is a fully valid Sidekiq worker, you should inherit from it your own job implementation instead of using it directly:

# app/jobs/sidekiq_stats_job.rb
class SidekiqStatsJob < Sidekiq::Instrument::Worker
  METRIC_NAMES = %w[
    processed
    failed
  ]

  sidekiq_options queue: :stats
end

In this example, we override the default stats with the ones we want reported by defining METRIC_NAMES. This can be either an Array or a Hash (if you also want to map a stat to a different metric name).

You can schedule this however you see fit. A simple way is to use sidekiq-scheduler to run it every N minutes.

After checking out the repo, run bin/setup to install dependencies. Then, run rake spec to run the tests. You can also run bin/console for an interactive prompt that will allow you to experiment.

To install this gem onto your local machine, run bundle exec rake install. To release a new version, update the version number in version.rb, and then run bundle exec rake release, which will create a git tag for the version, push git commits and tags, and push the .gem file to rubygems.org.

Bug reports and pull requests are welcome on GitHub at https://github.com/enova/sidekiq-instrument.

The gem is available as open source under the terms of the MIT License.