Ruby on Rails log collection

It’s recommended to use lograge here as it helps to bring some sanity to logs that are noisy and hardly parseable.

Instead of having a Rail logging output like this:

Started GET "/" for 127.0.0.1 at 2012-03-10 14:28:14 +0100
Processing by HomeController#index as HTML
  Rendered text template within layouts/application (0.0ms)
  Rendered layouts/_assets.html.erb (2.0ms)
  Rendered layouts/_top.html.erb (2.6ms)
  Rendered layouts/_about.html.erb (0.3ms)
  Rendered layouts/_google_analytics.html.erb (0.4ms)
Completed 200 OK in 79ms (Views: 78.8ms | ActiveRecord: 0.0ms)

After lograge formating you get a single log line with all the important information, like this:

method=GET path=/jobs/833552.json format=json controller=jobs action=show status=200 duration=58.33 view=40.43 db=15.26

And the final result in JSON:

{
  "timestamp":"2016-01-12T19:15:19.118829+01:00",
  "level":"INFO",
  "logger":"Rails",
  "method":"GET",
  "path":"/jobs/833552.json",
  "format":"json",
  "controller":"jobs",
  "action":"show",
  "status":200,
  "duration":58.33,
  "view":40.43,
  "db":15.26
}

To send your logs to Datadog, we recommend logging to a file and then tailing that file with your Datadog Agent.

Adding the GEMs

Add the 2 following GEMs in your project:

gem 'logging-rails', :require => 'logging/rails'
gem 'lograge'

##Configure Lograge In your configuration file, set the following:

# Lograge config
config.lograge.enabled = true

# We are asking here to log in RAW (which are actually ruby hashes). The Ruby logging is going to take care of the JSON formatting.
config.lograge.formatter = Lograge::Formatters::Raw.new

# This is is useful if you want to log query parameters
config.lograge.custom_options = lambda do |event|
    { :ddsource => ["ruby"],
      :params => event.payload[:params].reject { |k| %w(controller action).include? k }
    }
end

Note:You can also ask Lograge to add contextual information to your logs. Refer to the official doc if you are interested: Lograge documentation

Disable log coloration

As it would be weirdly displayed in your Datadog application, disable your log coloration:

config.colorize_logging = false

Now let’s configure logging-rails that is going to convert everything in JSON format.

Configuring the logging-rail gem

If this is not already done, type the following command:

rails generate logging:install

That generates the logging.rb with default configuration inside that we are going to adapt.

First of all, we are going to log everything in JSON format. So change :inspect into :json this in the first lines of the file logging.rb:

# Objects are converted to strings using the :inspect method.
  Logging.format_as :json

Then finally, defines the JSON layout and associate it to the appender you’ll going to use to transfer the data to Datadog:

# The JSON layout
json_layout = Logging.layouts.json

# For instance, a file appender that'll going to be forwarder by a syslog Agent to Datadog
Logging.appenders.file(
    'datadog',
    :filename => config.paths['log'].first,
    :layout => json_layout
)

If you want to tweak the log layout, all items available can be found directly from the source repository

Configure your Datadog Agent.

Create a ruby.d/conf.yaml file in your conf.d/ folder with the following content:

##Log section
logs:

    ## - type : file (mandatory) type of log input source (tcp / udp / file)
    ##   port / path : (mandatory) Set port if type is tcp or udp. Set path if type is file
    ##   service : (mandatory) name of the service owning the log
    ##   source : (mandatory) attribute that defines which integration is sending the logs
    ##   sourcecategory : (optional) Multiple value attribute. Can be used to refine the source attribute
    ##   tags: (optional) add tags to each logs collected

  - type: file
    path: /path/to/your/ruby/log.log
    service: ruby
    source: ruby
    sourcecategory: sourcecode
    # For multiline logs, if they start by the date with the format yyyy-mm-dd uncomment the following processing rule
    #log_processing_rules:
    #  - type: multi_line
    #    name: new_log_start_with_date
    #    pattern: \d{4}\-(0?[1-9]|1[012])\-(0?[1-9]|[12][0-9]|3[01])

That’s it! Now, all the rails calls are going to be in proper JSON automatically understood by your Datadog application.

# Configure Lograge to work with rocket_pants' controllers      
#       
# Come from here:       
#   https://github.com/Sutto/rocket_pants/issues/111        
#       
app = Rails.application
if app.config.lograge.enabled
  ActiveSupport::LogSubscriber.log_subscribers.each do |subscriber|
    case subscriber
      when ActionController::LogSubscriber
        Lograge.unsubscribe(:rocket_pants, subscriber)
    end
  end
  Lograge::RequestLogSubscriber.attach_to :rocket_pants
end

Grape’s suggested logging configuration

Add the grape_logging gem:

gem 'grape_logging', git: "git://github.com/guizmaii/grape_logging.git", branch: "master"

Pass additional configuration to Grape:

use GrapeLogging::Middleware::RequestLogger,
      instrumentation_key: 'grape', # (cette clé devra matcher avec la config du point 2.3)
      include: [ GrapeLogging::Loggers::Response.new,
                 GrapeLogging::Loggers::DatabaseTime.new,
                 GrapeLogging::Loggers::FilterParameters.new ]

Create the config/initializers/instrumentation.rb file and add the following configuration:

# Subscribe to grape request and log with a logger dedicated to Grape
grape_logger = Logging.logger['Grape']
ActiveSupport::Notifications.subscribe('grape') do |name, starts, ends, notification_id, payload|
    grape_logger.info payload
end