Twitter早期的更新采用Capistrano和Git，每次程序更新时间与服务起数目呈线性关系。当服务器数量迅速增加时，更新 效率开始成为问题。 基于中心代码库，更新时代码库压力较大。通过增加Git库的副本，可以缓解问题，但是从长期看，需要持续进行Git库扩展。
后来，Twitter引入去中心化的方案，在程序更新中采用BitTorrent，将更新时间从40分钟降低到12秒！
Capistrano： Ruby世界流行的一个部署框架，在实际服务器上执行任务。 Git：代码管理。 Murder：启动BTtracker，创建seeds，文件传输等任务。 BitTornado：对BitTorrent改造，更适合DataCenter内部高质量的网络环境。
Murder: Fast datacenter code deploys using BitTorrent
Thursday, July 15, 2010
Twitter has thousands of servers. What makes having boatloads of servers particularly annoying though is that we need to quickly get multiple iterations of code and binaries onto all of them on a regular basis. We used to have a git-based deploy system where we’d just instruct our front-ends to download the latest code from our main git machine and serve that. Unfortunately, once we got past a few hundred servers, things got ugly. We recognized that this problem was not unlike many of the scaling problems we’ve had and dealt with in the past though — we were suffering the symptoms of a centralized system.
By sitting beside a particularly vocal Release Engineer, I received first-hand experience of the frustration caused by slow deploys. We needed a way to dramatically speed things up. I thought of some quick hacks to get this fixed: maybe replicate the git repo or maybe shard it so everyone isn’t hitting the same thing at once. Most of these quasi-centralized solutions will still require re-replicating or re-sharding again in the near future though (especially at our growth). It was time for something completely different, something decentralized, something more like.. BitTorrent.. running inside of our datacenter to quickly copy files around. Using the file-sharing protocol, we launched a side-project called Murder and after a few days (and especially nights) of nervous full-site tinkering, it turned a 40 minute deploy process into one that lasted just 12 seconds!
Murder (which by the way is the name for a flock of crows) is a combination of scripts written in Python and Ruby to easily deploy large binaries throughout your company’s datacenter(s). It takes advantage of the fact that the environment in a datacenter is somewhat different from regular internet connections: low-latency access to servers, high bandwidth, no NAT/Firewall issues, no ISP traffic shaping, only trusted peers, etc. This let us come up with a list of optimizations on top of BitTornado to make BitTorrent not only reasonable, but also effective on our internal network. Since at the time we used Capistrano for signaling our servers to perform tasks, Murder also includes a Capistrano deploy strategy to make it easy for existing users of Capistrano to convert their file distribution to be decentralized. The final component is the work Matt Freels (@mf) did in bundling everything into an easy to install ruby gem. This further helped get Murder to be usable for more deploy tasks at Twitter.
Reference： http://engineering.twitter.com/2010/07/murder-fast-datacenter-code-deploys.html Murder：（Python/Ruby）http://github.com/lg/murder