CanvasStatsd
configurable statsd client proxy
Configuration
Set a few enviroment variables:
export CANVAS_STATSD_HOST=statsd.example.org
export CANVAS_STATSD_PORT=1234
export CANVAS_STATSD_NAMESPACE=my_app.prod
export CANVAS_STATSD_APPEND_HOSTNAME=false
Or pass a hash to CanvasStatsd.settings
settings = {
host: 'statsd.example.org'
port: 1234
namespace: 'my_app.prod'
append_hostname: false
}
CanvasStatsd.settings = settings
Values passed to CanvasStatsd.settings
will be merged into and take precedence over any existing ENV vars
Configuration Options
Only the host
(or CANVAS_STATSD_HOST
ENV var) is required, all other config
is optional
host
Location of the statsd box you want to send stats to.
port
port of the statsd box you want to send stats to.
namespace
If a namespace is defined, it'll be prepended to the stat name. So the following:
settings = {
host: 'statsd.example.org'
namespace: 'my_app.prod'
}
CanvasStatsd.settings = settings
CanvasStatsd::Statsd.timing('some.stat', 300)
would use my_app.prod.some.stat
as it's stat name.
append_hostname
The hostname of the server will be appended to the stat name, unless
append_hostname: false
is specified. So if the namespace is canvas
and the
hostname is app01
, the final stat name of my_stat
would be
canvas.my_stat.app01
(assuming the default statsd/graphite configuration)
Usage
Outside of configuration, app code generally interacts with the
CanvasStatsd::Statsd
object, which is a proxy class to communicate messages
to statsd.
Available statsd messages are described in:
So for instance:
ms = Benchmark.ms { ..code.. }
CanvasStatsd::Statsd.timing("my_stat", ms)
If statsd isn't configured and enabled, then calls to CanvasStatsd::Statsd.*
will do nothing and return nil.
Default Metrics Tracking
CanvasStatsd ships with a several trackers that can capture several performance metrics. To enable these default metrics tracking in your rails app, you enable the ones you want, and then enable request tracking:
# config/initializers/canvas_statsd.rb
CanvasStatsd::DefaultTracking.track_sql
CanvasStatsd::DefaultTracking.track_cache
CanvasStatsd::DefaultTracking.track_active_record
CanvasStatsd::RequestTracking.enable
This will track the following (as statsd timings) per request:
Metric Type | Statsd key | Description |
---|---|---|
total | controller.action.total | total time spent on controller action* |
db | controller.action.db | time spent in the db* |
view | controller.action.view | time spent build views* |
sql write | controller.action.sql.write | number of sql writes |
sql read | controller.action.sql.read | number of sql reads |
sql cache | controller.action.sql.cache | number of sql cache |
active record | controller.action.active_record | number of ActiveRecord objects created ** |
cache read | controller.action.cache.read | number of cache reads |
* as reported by ActiveSupport::Notifications
** as reported by aroi
If you'd like CanvasStatsd to log these metrics (as well as sending them to statsd), pass a logger object along like so:
# log default metrics to environment logs in Rails
CanvasStatsd::RequestTracking.enable logger: Rails.logger
Block tracking
You can easily track the performance of any block of code using all enabled metrics. Just be careful that your key isn't too dynamic, causing performance problems for your statsd server.
CanvasStatsd::DefaultTracking.track_sql
CanvasStatsd::DefaultTracking.track_cache
CanvasStatsd::DefaultTracking.track_active_record
CanvasStatsd::BlockTracking.track("my_important_job") do
sleep(10)
end
If you want to keep track of both exclusive and inclusive times for a re-entrant piece of code, you just need to tell CanvasStatsd which category to track along:
CanvasStatsd::BlockTracking.track("my_important_job", category: :my_stuff) do
sleep(10)
CanvasStatsd::BlockTracking.track("my_other_important_job", category: :my_stuff) do
sleep(5)
end
end
Contributing
- Fork it
- Create your feature branch (
git checkout -b my-new-feature
) - Commit your changes (
git commit -am 'Add some feature'
) - Push to the branch (
git push origin my-new-feature
) - Create a new Pull Request