Instrumental Ruby Agent
Instrumental is a application monitoring platform built for developers who want a better understanding of their production software. Powerful tools, like the Instrumental Query Language, combined with an exploration-focused interface allow you to get real answers to complex questions, in real-time.
This agent supports custom metric monitoring for Ruby applications. It provides high-data reliability at high scale, without ever blocking your process or causing an exception.
Setup & Usage
Add the gem to your Gemfile.
Visit instrumentalapp.com and create an account, then initialize the agent with your API key, found in the Docs section.
I = Instrumental::Agent.new('YOUR_API_KEY', :enabled => Rails.env.production?)
You'll probably want something like the above, only enabling the agent in production mode so you don't have development and production data writing to the same value. Or you can setup two projects, so that you can verify stats in one, and release them to production in another.
Now you can begin to use Instrumental to track your application.
I.gauge('load', 1.23) # value at a point in time I.increment('signups') # increasing value, think "events" I.time('query_time') do # time a block of code post = Post.find(1) end I.time_ms('query_time_in_ms') do # prefer milliseconds? post = Post.find(1) end
Note: For your app's safety, the agent is meant to isolate your app from any problems our service might suffer. If it is unable to connect to the service, it will discard data after reaching a low memory threshold.
Want to track an event (like an application deploy, or downtime)? You can capture events that are instantaneous, or events that happen over a period of time.
I.notice('Jeffy deployed rev ef3d6a') # instantaneous event I.notice('Testing socket buffer increase', 3.days.ago, 20.minutes) # an event with a duration
Streaming data is better with a little historical context. Instrumental lets you backfill data, allowing you to see deep into your project's past.
When backfilling, you may send tens of thousands of metrics per second, and the command buffer may start discarding data it isn't able to send fast enough. We provide a synchronous mode that will ensure every stat makes it to Instrumental before continuing on to the next.
Warning: You should only enable synchronous mode for backfilling data as any issues with the Instrumental service issues will cause this code to halt until it can reconnect.
I.synchronous = true # every command sends immediately User.find_each do |user| I.increment('signups', 1, user.created_at) end
Want some general server stats (load, memory, etc.)? Check out the instrumental_tools gem.
gem install instrumental_tools instrument_server
Need to quickly disable the agent? set :enabled to false on initialization and you don't need to change any application code.
require "instrumental/capistrano" to your capistrano configuration and your deploys will be tracked by Instrumental. Add the API token for the project you want to track to by setting the following Capistrano var:
set :instrumental_key, "MY_API_KEY"
The following configuration will be added:
before "deploy", "instrumental:util:deploy_start" after "deploy", "instrumental:util:deploy_end" before "deploy:migrations", "instrumental:util:deploy_start" after "deploy:migrations", "instrumental:util:deploy_end" after "instrumental:util:deploy_end", "instrumental:record_deploy_notice"
The default message sent is "USER deployed COMMIT_HASH". If you need to customize it, set a capistrano variable named
deploy_message to the value you'd prefer.
Tracking metrics in Resque jobs (and Resque-like scenarios)
If you plan on tracking metrics in Resque jobs, you will need to explicitly cleanup after the agent when the jobs are finished. You can accomplish this by adding
on_failure hooks to your Resque jobs. See the Resque hooks documentation for more information.
You're required to do this because Resque calls
exit! when a worker has finished processing, which bypasses Ruby's
at_exit hooks. The Instrumental Agent installs an
at_exit hook to flush any pending metrics to the servers, but this hook is bypassed by the
exit! call; any other code you rely that uses
exit! should call
I.cleanup to ensure any pending metrics are correctly sent to the server before exiting the process.
Troubleshooting & Help
We are here to help. Email us at email@example.com.
- Pull latest master
- Merge feature branch(es) into master
- Increment version in:
- Update CHANGELOG.md
- Commit "Release vX.Y.Z"
- Push to GitHub
- Release packages:
- Update documentation on instrumentalapp.com
This library follows Semantic Versioning 2.0.0.