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Parallel Processing for the Rest of Us https://github.com/documentcloud/clou…
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= _ _ ( ` )_ ( ) `) (_ (_ . _) _) _ ( ) _ . ( ` ) . ) ( _ )_ (_, _( ,_)_) (_ _(_ ,) _ _ ___ _ _ ___ _ ( ` )_ / __| |___ _ _ __| |/ __|_ _ _____ __ ____| | ( ) `) | (__| / _ \ || / _` | (__| '_/ _ \ V V / _` | (_ (_ . _) _) \___|_\___/\_,_\__,_|\___|_| \___/\_/\_/\__,_| _ ( ) _, _ . ( ` ) . ) ( ( _ )_ (_, _( ,_)_) (_(_ _(_ ,) ~ CloudCrowd ~ * Parallel processing for the rest of us * Write your scripts in Ruby * Works with Amazon EC2 and S3 * split -> process -> merge * As easy as `gem install cloud-crowd` Well-suited for: * Generating or resizing images. * Encoding video. * Running text extraction or OCR on PDFs. * Migrating a large file set or database. * Web scraping. ~ Documentation ~ Wiki: https://github.com/documentcloud/cloud-crowd/wiki Rdoc: http://www.rubydoc.info/github/documentcloud/cloud-crowd ~ Getting started ~ # Install the gem. >> sudo gem install cloud-crowd # Install the CloudCrowd configuration files to a location of your choosing. >> crowd install ~/config/cloud-crowd # Now, you can use the full complement of `crowd` commands from inside of # this configuration directory. To see the available commands: >> crowd --help # Edit the configuration files to your satisfaction, add AWS credentials, # and then load the CloudCrowd schema into your configured database. >> cd ~/config/cloud-crowd >> mate config.yml >> mate database.yml >> [create the database you just configured...] >> crowd load_schema # Write your actions, and install them into the 'actions' subdirectory. # CloudCrowd comes with a few default actions as an example. # To launch the central server (make sure that you include its location # in config.yml): >> crowd server # The configuration folder also includes 'config.ru', which can be used by # any Rack-compliant webserver to run your central server. # Then, to launch a node of workers: >> crowd node # To spin up remote nodes, install the 'cloud-crowd' gem and copy over # your configuration directory. Run `crowd node`, and the remote machines # will register with the central server, becoming available for processing. # At this point you can visit your Operations Center at localhost:9173 to # view all of your nodes, ready for action.