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Description: Video encoding made easy with AWS
Homepage: http://pandastream.com
Clone URL: git://github.com/twinge/panda.git 
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Josh Starcher (author)
Thu Nov 05 12:20:57 -0800 2009
commit  a9610878c54a15b5553e82629a9230c01f2307bf
tree    1c878d3dcc1ef1f51d548f9d2e28a3b20e94ed43
parent  1bb90f8fd7d0113599a032d1f5da685d4b3c4192
panda /
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file .gitignore Loading commit data...
file Capfile Mon Mar 09 11:39:38 -0700 2009 deploy to new EC2 AMI with Cap [dctanner]
file LICENSE Tue Sep 16 13:55:48 -0700 2008 more explicit license [dctanner]
file README.markdown Thu Feb 19 08:53:43 -0800 2009 move most of the README stuff to a new doc call... [dctanner]
file Rakefile
directory app/
directory autotest/ Mon Mar 09 11:08:26 -0700 2009 Add autotest config files so autotest works [theaboutbox]
directory benchmarks/ Tue Oct 07 10:22:49 -0700 2008 Benchmark tests for RVideo capture_frame. [mloughran]
directory bin/
file config.ru Mon Mar 09 11:39:38 -0700 2009 deploy to new EC2 AMI with Cap [dctanner]
directory config/
file encoder.god
directory lib/
directory log/ Wed Sep 24 05:19:19 -0700 2008 Created log dir [makoto]
file merb.thor Mon Oct 20 11:59:12 -0700 2008 Update merb app for 0.9.8 [mloughran]
directory merb/ Wed Oct 22 04:44:32 -0700 2008 Merb RC2 (updated with merb-gen). * Left out n... [mloughran]
file panda.god
file panda_nginx.conf.example Tue Sep 23 07:52:02 -0700 2008 - Changed root dir from /usr/local/www to /var/... [makoto]
directory public/
directory script/ Thu May 14 08:23:16 -0700 2009 use amazon key as panda api key [twinge]
directory simpledb-dev/
directory spec/
directory test/ Mon Oct 20 11:59:12 -0700 2008 Update merb app for 0.9.8 [mloughran]
README.markdown

Panda

Panda is an open source solution for video uploading, encoding and streaming.

Please see pandastream.com for an introduction and lots of documentation.

Information beyond this point is aimed at people who want to contribute to panda and / or understand how it works.

How does Panda work?

  1. Video is uploaded to panda
  2. Panda checks the video's metadata, uploads the raw file to S3 and adds it to the encoding queue
  3. The encoder application picks the encoding job off the queue when it's free and encodes the video to all possible formats
  4. Panda sends a callback to your web application notifying you the video has been encoded
  5. You use the appropriate S3 url of the encoding to embed the video

Installation and setup

There are two options for running Panda. You can either the use the prebuild AMI which includes all of the software required to run Panda. Or if you wish run it locally on own your own server, you can follow the local installation guide.