Puma is a simple, fast, threaded, and highly concurrent HTTP 1.1 server for Ruby/Rack applications. Puma is intended for use in both development and production environments. In order to get the best throughput, it is highly recommended that you use a Ruby implementation with real threads like Rubinius or JRuby.
Puma is a simple, fast, and highly concurrent HTTP 1.1 server for Ruby web applications. It can be used with any application that supports Rack, and is considered the replacement for Webrick and Mongrel. It was designed to be the go-to server for [Rubinius](http://rubini.us), but also works well with JRuby and MRI. Puma is intended for use in both development and production environments.
Under the hood, Puma processes requests using a C-optimized Ragel extension (inherited from Mongrel) that provides fast, accurate HTTP 1.1 protocol parsing in a portable way. Puma then serves the request in a thread from an internal thread pool (which you can control). This allows Puma to provide real concurrency for your web application!
With Rubinius 2.0, Puma will utilize all cores on your CPU with real threads, meaning you won't have to spawn multiple processes to increase throughput. You can expect to see a similar benefit from JRuby.
On MRI, there is a Global Interpreter Lock (GIL) that ensures only one thread can be run at a time. But if you're doing a lot of blocking IO (such as HTTP calls to external APIs like Twitter), Puma still improves MRI's throughput by allowing blocking IO to be run concurrently (EventMachine-based servers such as Thin turn off this ability, requiring you to use special libraries). Your mileage may vary. In order to get the best throughput, it is highly recommended that you use a Ruby implementation with real threads like [Rubinius](http://rubini.us) or [JRuby](http://jruby.org).
Puma provides numerous options for controlling the operation of the server. Consult `puma -h` (or `puma --help`) for a full list.
### Thread Pool
Puma utilizes a dynamic thread pool which you can modify. You can set the minimum and maximum number of threads that are available in the pool with the `-t` (or `--threads`) flag:
Puma will automatically scale the number of threads based on how much traffic is present. The current default is `0:16`. Feel free to experiment, but be careful not to set the number of maximum threads to a very large number, as you may exhaust resources on the system (or hit resource limits).
Puma 2 offers clustered mode, allowing you to use forked processes to handle multiple incoming requests concurrently, in addition to threads already provided. You can tune the number of workers with the `-w` (or `--workers`) flag:
If you're running in Clustered Mode you can optionally choose to preload your application before starting up the workers. To do this simply specify the `--preload` flag in invocation:
Puma comes with a builtin status/control app that can be used query and control puma itself. Here is an example of starting puma with the control server:
This directs puma to start the control server on localhost port 9293. Additionally, all requests to the control server will need to include `token=foo` as a query parameter. This allows for simple authentication. Check out [status.rb](https://github.com/puma/puma/blob/master/lib/puma/app/status.rb) to see what the app has available.
Take the following [sample configuration](https://github.com/puma/puma/blob/master/examples/config.rb) as inspiration or check out [configuration.rb](https://github.com/puma/puma/blob/master/lib/puma/configuration.rb) to see all available options.
Puma includes the ability to restart itself allowing easy upgrades to new versions. When available (MRI, Rubinius, JRuby), puma performs a "hot restart". This is the same functionality available in *unicorn* and *nginx* which keep the server sockets open between restarts. This makes sure that no pending requests are dropped while the restart is taking place.
No code is shared between the current and restarted process, so it should be safe to issue a restart any place where you would manually stop puma and start it again.
If the new process is unable to load, it will simply exit. You should therefore run puma under a supervisor when using it in production.
Puma isn't able to understand all the resources that your app may use, so it provides a hook in the configuration file you pass to `-C` called `on_restart`. The block passed to `on_restart` will be called, unsurprisingly, just before puma restarts itself.
You should place code to close global log files, redis connections, etc in this block so that their file descriptors don't leak into the restarted process. Failure to do so will result in slowly running out of descriptors and eventually obscure crashes as the server is restart many times.
Because of various platforms not being implement certain things, the following differences occur when puma is used on different platforms:
* On JRuby and Windows, server sockets are not seamless on restart, they must be closed and reopened. These platforms have no way to pass descriptors into a new process that is exposed to ruby.
* On Windows, daemon mode is not supported due to a lack of fork(2).
* On JRuby and Windows, cluster mode is not supported due to a lack of fork(2).
If you want an easy way to manage multiple scripts at once check [tools/jungle](https://github.com/puma/puma/tree/master/tools/jungle) for init.d and upstart scripts.