QueueTimeStatsdReporter
QueueTimeStatsdReporter reports to Datadog the time a request spends queued before hitting your Rails/Rack application.
Installation
Add this line to your application's Gemfile:
gem 'queue_time_statsd_reporter'
And then execute:
$ bundle
Or install it yourself as:
$ gem install queue_time_statsd_reporter
Usage
In your web server, configure the X-Request-Start header, eg. for Nginx:
location @app {
proxy_set_header X-Request-Start "t=${msec}";
}
Next in Rails create an initialiser containing the code:
metric_name = "mycorp.widgetsapp.queue_time"
tags = ["env:#{Rails.env}"]
Rails.application.middleware.unshift QueueTimeStatsdReporter, my_statsd_object, metric_name, tags
where my_statsd_object
is an object, perhaps a proxy for your statsd implementation, that has a method with signature:
gauge(metric, value, tags=[])
When a request is received QueueTimeStatsdReporter will report the time spent queueing by calling the guage method with:
- metric: The string metric name, eg. "mycorp.widgetsapp.queue_time"
- value: the time spent queued in seconds
- tags: any tags passed into the middleware initialiser
Bringing it all together
For instance, if you're reporting to Datadog your object might look something like:
class MyDatadogClass
def initialize(endpoint = Datadog::Statsd.new(ENV.fetch("STATS_HOST", "localhost"), 8125))
@endpoint = endpoint
end
def gauge(metric, value, tags=[], sample_rate=1)
@endpoint.gauge(metric, value, tags: tags, sample_rate: sample_rate)
end
end
and your initialiser:
Rails.application.middleware.unshift QueueTimeStatsdReporter, MyDatadogClass.new, "mycorp.widgetsapp.queue_time", ["env:#{Rails.env}", "infra:aws"]
You can use this middleware outside of Rails too.
Development
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.
Contributing
Bug reports and pull requests are welcome on GitHub at https://github.com/rubytune/queue_time_statsd_reporter.
License
The gem is available as open source under the terms of the MIT License.
Authors