A method of using BitTorrent to distribute files to hundreds or thousands of servers for scalable, fast production deploys.
Murder is a deployment tool that uses BitTorrent technology to distribute files across large numbers of servers in production environments. It solves the problem of centralized deployment systems failing at scale by enabling peer-to-peer file sharing among servers. Originally developed at Twitter, it allows for fast, scalable deploys across hundreds to tens of thousands of machines.
DevOps engineers and system administrators managing large-scale server deployments who need efficient file distribution beyond what centralized systems can handle.
Developers choose Murder because it leverages BitTorrent's efficient peer-to-peer architecture to eliminate deployment bottlenecks at scale, offering significantly faster distribution than traditional methods in large environments.
Large scale server deploys using BitTorrent and the BitTornado library (NOTE: project no longer maintained)
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Uses BitTorrent technology to enable efficient file sharing among servers, drastically reducing load on the source and allowing deploys across thousands of machines, as described in the 'HOW IT WORKS' section.
Integrates as a deploy strategy within Capistrano, streamlining existing workflows with simple configuration lines in the Capfile, evidenced by the 'QUICK START' guide.
Implements a tracker-seeder-peer model that distributes files in a tree-fashion, minimizing bottlenecks and enabling fast transfers in large-scale production environments, per the architecture details.
Explicitly marked as unmaintained since 2012, meaning no bug fixes, security patches, or updates for modern systems, posing significant risks for production use.
Requires Python, BitTornado library distribution, and manual configuration of roles (tracker, seeder, peers), making initial setup more involved than simpler deployment tools, as detailed in 'CONFIGURATION AND USAGE'.
Lacks support for tracker-less distribution (DHT) and incremental updates, focusing only on full file deploys via compressed tgz archives, which may not suit modern deployment needs.