documentcloud / cloud-crowd
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Parallel Processing for the Rest of Us
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README
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~ 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: http://wiki.github.com/documentcloud/cloud-crowd
Rdoc: http://rdoc.info/projects/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.
