🚀 Best practices for running Rails in production
This guide covers different concepts you should be familiar with. Recommendations come from personal experience and work at Instacart. A number of open source projects are ones I’ve created. For a comprehensive list of gems, check out Awesome Ruby.
Everyone writing code must be responsible for security. See best practices and how to secure sensitive data.
Use an error reporting service like Rollbar.
Use Safely to rescue and report exceptions in non-critical code.
Use a centralized logging service like LogDNA.
Use Lograge to reduce volume. Configure it to add request_id
, user_id
, and params
.
# config/environments/production.rb
config.lograge.enabled = true
config.lograge.custom_options = lambda do |event|
options = event.payload.slice(:request_id, :user_id)
options[:params] = event.payload[:params].except("controller", "action")
options
end
# app/controllers/application_controller.rb
def append_info_to_payload(payload)
super
payload[:request_id] = request.uuid
payload[:user_id] = current_user.id if current_user
end
Use an auditing library like Audited.
Use Strong Migrations to catch unsafe migrations at dev time.
Use a high performance web server like Puma.
Use Rack::Deflater for compression.
Use a CDN like Amazon CloudFront to serve assets.
Use Slowpoke for request timeouts.
Use a high performance background processing framework like Sidekiq with ActiveJob.
config.active_job.queue_adapter = :sidekiq
Use ActiveJob::TrafficControl to:
- quickly disable jobs
- throttle
- limit concurrency
BadJob.disable!
For transactional emails, use an email delivery service like SendGrid.
For marketing emails, use a service like MailChimp.
For styling, use a CSS inliner like Roadie.
class ApplicationMailer < ActionMailer::Base
include Roadie::Rails::Automatic
end
Add UTM parameters to links.
Use Memcached and Dalli for caching.
config.cache_store = :dalli_store
Use a library like Memoist for memoizing.
memoize :time_consuming_method
Add Oj to speed up JSON parsing.
Use a performance monitoring service with transaction traces like New Relic or AppSignal.
Use an uptime monitoring service like Pingdom or Uptime Robot.
The database is a common bottleneck for Rails apps and deserves some special monitoring attention. There are some dedicated tools for this:
- If you use Postgres, PgHero can help identify issues
- Use Marginalia to track the origin of SQL queries
Use Notable to track notable requests and background jobs.
- errors
- slow requests, jobs, and timeouts
- 404s
- validation failures
- CSRF failures
- unpermitted parameters
- blocked and throttled requests
- 5xx errors and latency
- requests by action - total time, count
- queue time - X-Request-Start header
- jobs by type - total time, count
- requests by type - total time, count
- CPU usage
- space
- requests by type - total time, count
One very important place is ActiveRecord. Add to config/database.yml
and adjust as needed.
production:
connect_timeout: 2
checkout_timeout: 5
variables:
statement_timeout: 5000 # ms
production:
connect_timeout: 1
read_timeout: 1
write_timeout: 1
checkout_timeout: 5
variables:
max_execution_time: 5000 # ms, for MySQL 5.7.8 or higher
max_statement_time: 5 # sec, for MariaDB 10.1.1 or higher
Use an analytics service like Google Analytics or Mixpanel.
And possibly an open source library like Ahoy.
Use a feature flipper library like Rollout to easily enable and disable new features without pushing code.
Have suggestions? Help make this guide better for everyone.
Also check out Development Rails and Scaling Rails.