Rack的HTTP服務器:Unicorn
Unicorn 是一個為運行 Rack 應用的HTTP服務器。Unicorn 是一個利用Unix的高級特性開發的,只為具備低延遲,高帶寬的連接的客戶服務的HTTP服務器軟件。慢的客戶服務需要通過放置一個反向代理,充分緩沖的要求,在與客戶的Unicorn 和緩慢的反應能力。
安裝方式:gem install unicorn
Features
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Designed for Rack, Unix, fast clients, and ease-of-debugging. We cut out everything that is better supported by the operating system, nginx or Rack.
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Compatible with both Ruby 1.8 and 1.9. Rubinius support is in-progress.
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Process management: Unicorn will reap and restart workers that die from broken apps. There is no need to manage multiple processes or ports yourself. Unicorn can spawn and manage any number of worker processes you choose to scale to your backend.
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Load balancing is done entirely by the operating system kernel. Requests never pile up behind a busy worker process.
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Does not care if your application is thread-safe or not, workers all run within their own isolated address space and only serve one client at a time for maximum robustness.
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Supports all Rack applications, along with pre-Rack versions of Ruby on Rails via a Rack wrapper.
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Builtin reopening of all log files in your application via USR1 signal. This allows logrotate to rotate files atomically and quickly via rename instead of the racy and slow copytruncate method. Unicorn also takes steps to ensure multi-line log entries from one request all stay within the same file.
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nginx-style binary upgrades without losing connections. You can upgrade Unicorn, your entire application, libraries and even your Ruby interpreter without dropping clients.
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before_fork and after_fork hooks in case your application has special needs when dealing with forked processes. These should not be needed when the “preload_app” directive is false (the default).
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Can be used with copy-on-write-friendly memory management to save memory (by setting “preload_app” to true).
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Able to listen on multiple interfaces including UNIX sockets, each worker process can also bind to a private port via the after_fork hook for easy debugging.
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Simple and easy Ruby DSL for configuration.
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Decodes chunked transfers on-the-fly, thus allowing upload progress notification to be implemented as well as being able to tunnel arbitrary stream-based protocols over HTTP