Tracking failing fastlane actions



Twitter: @FastlaneTools License

fastlane tracks the number of errors for each action to detect integration issues.


This does not store any personal or sensitive data. Everything enhancer stores is the ratio between successful and failed action runs.


  • This data is very useful to find out which actions tend to cause the most build errors and improve them!
  • The actions that are used by many developers should be improved in both implementation and documentation. It’s great to know which actions are worth improving!

To sum up, all data is used to improve fastlane more efficiently

Opt out

You can set the environment variable FASTLANE_OPT_OUT_USAGE to opt out.

Alternatively, add opt_out_usage to your Fastfile.

Running enhancer locally

  • Start with a bundle install in the project directory to make sure you have all of the dependencies

Set needed environment variables

  • Create a .env file in your enhancer project root containing the desired values for:
ANALYTIC_INGESTER_URL=[the public URL for the Analytic Ingester service - can be omitted!]
FL_PASSWORD=[password used to see the web dashboard]

Getting a database snapshot

  • Get PostgreSQL installed on your Mac
  • Make sure you are signed in to the Heroku command line application
  • Run heroku pg:pull DATABASE_URL enhancer --app fastlane-enhancer to pull the latest data from production into your local DB
    • This will fail if you already have a local database called enhancer. In that case, decide where you want to drop your local DB, and try it again.

Get Redis installed and running

  • Install with brew install redis
  • Run redis-server /Users/mfurtak/homebrew/etc/redis.conf in a tab that you keep around, or run brew services start redis to have it start up whenever your Mac does

Run the Rails and Resque processes

Heroku uses something called a Procfile to track multiple processes that you want have started up, and a gem called foreman knows how to run these things for you locally

  • Run RAILS_ENV=development bundle exec foreman start to start up the web and worker processes
$ bundle exec foreman start
10:09:22 web.1    | started with pid 55133
10:09:22 worker.1 | started with pid 55134
10:09:24 web.1    | [2017-03-29 10:09:24] INFO  WEBrick 1.3.1
10:09:24 web.1    | [2017-03-29 10:09:24] INFO  ruby 2.3.0 (2015-12-25) [x86_64-darwin16]
10:09:24 web.1    | [2017-03-29 10:09:24] INFO  WEBrick::HTTPServer#start: pid=55133 port=5000

Note that this runs the web server on port 5000, rather than the typical 3000 for Rails

Using enhancer

Supported Parameters

Enhancer supports parameters to filter the shown actions. Any combination of parameters are supported.


Limits the actions that will be shown to the supplied list. It can be used either with a single value or multiple values:

  • ?only=gym: Only shows info for the gym action
  • ?only[]=gym&only[]=testflight&only[]=...: Only show info for the supplied actions gym, testflight, ...


Limits the data to data from the previous weeks, for example:

  • ?weeks=4: Only show data from the previous 4 weeks


Only shows action with a certain mimimum number of launches

  • ?minimum_launches=500000: only show the most used actions
  • ?minimum_launches=50000&weeks=4: only show actions with 50,000 launches within the last 4 weeks

ratio_above & ratio_below

Only shows actions that are above or below a certain error ratio. The error ratio is calculated by number_of_errors / number_of_launches.

  • ?ratio_above=0.5: Shows actions with an error ratio >= 0.5
  • ?ratio_below=0.5&ratio_above=0.1: Shows actions with an error ratio between 0.1 and 0.5


Show the top % of actions

  • ?top=10: Show the top 10% of actions for each table (by launches and by ratio)



This will show which of the actions ipa and gym was used more often in the past week, and which of those had a worse error ratio


Shows a list of actions that had an error ratio between 0.25 and 0.75 in the past 4 weeks.

Code of Conduct

Help us keep fastlane open and inclusive. Please read and follow our Code of Conduct.


This project is licensed under the terms of the MIT license. See the LICENSE file.

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