1 # Puma can serve each request in a thread from an internal thread pool.
2 # The `threads` method setting takes two numbers: a minimum and maximum.
3 # Any libraries that use thread pools should be configured to match
4 # the maximum value specified for Puma. Default is set to 5 threads for minimum
5 # and maximum; this matches the default thread size of Active Record.
7 max_threads_count = ENV.fetch("RAILS_MAX_THREADS") { 5 }
8 min_threads_count = ENV.fetch("RAILS_MIN_THREADS") { max_threads_count }
9 threads min_threads_count, max_threads_count
11 # Specifies the `port` that Puma will listen on to receive requests; default is 3000.
13 port ENV.fetch("PORT") { 3000 }
15 # Specifies the `environment` that Puma will run in.
17 environment ENV.fetch("RAILS_ENV") { "development" }
19 # Specifies the `pidfile` that Puma will use.
20 pidfile ENV.fetch("PIDFILE") { "tmp/pids/server.pid" }
22 # Specifies the number of `workers` to boot in clustered mode.
23 # Workers are forked web server processes. If using threads and workers together
24 # the concurrency of the application would be max `threads` * `workers`.
25 # Workers do not work on JRuby or Windows (both of which do not support
28 # workers ENV.fetch("WEB_CONCURRENCY") { 2 }
30 # Use the `preload_app!` method when specifying a `workers` number.
31 # This directive tells Puma to first boot the application and load code
32 # before forking the application. This takes advantage of Copy On Write
33 # process behavior so workers use less memory.
37 # Allow puma to be restarted by `rails restart` command.