nosql tokyocabint mongodb
异步队列httpsqs、gearman、message queue、starling（被Kestrel替代） ，Kestrel（memcache）， ActiveMQ，ZeroMQ，
RabbitMQ （amqp）
activemq（jms）被 Apollo替代 支持mysql持久化 消息队列使用
0MQ (ZeroMQ) 是一个轻量级消息内核。它实现了30微秒的端到端延迟和每秒超过300万的信息。它可用于C、C++、Python、.NET /Mono、Fortran和Java语言。它运行在AIX ， FreeBSD的，基于HP - UX ， Linux和MacOS下， OpenBSD系统， OpenVMS ， QNX Neutrino， Solaris和Windows操作系统。
memcached(memcached1.4.5)
搜索 sphinx luncene
图片是fastdfs（类似google的hadoop的dfs）
lvs，memcachedb
Message Queue Servers
Message queue servers are available in various languages, Erlang (RabbitMQ), C (beanstalkd), Ruby (Starling or Sparrow), Scala (Kestrel, Kafka) or Java (ActiveMQ). A short overview can be found here
Sparrow
- written by Alex MacCaw
- Sparrow is a lightweight queue written in Ruby that “speaks memcache”
Starling
- written by Blaine Cook at Twitter
- Starling is a Message Queue Server based on MemCached
- written in Ruby
- stores jobs in memory (message queue)
- documentation: some good tutorials, for example the railscast about starling and workling or this blog post about starling
Kestrel
- written by Robey Pointer
- Starling clone written in Scala (a port of Starling from Ruby to Scala)
- Queues are stored in memory, but logged on disk
RabbitMQ
- RabbitMQ is a Message Queue Server in Erlang
- stores jobs in memory (message queue)
Apache ActiveMQ
- ActiveMQ is an open source message broker in Java
Beanstalkd
- written by Philotic, Inc. to improve the response time of a Facebook application
- in-memory workqueue service mostly written in C
- Docu: http://nubyonrails.com/articles/about-this-blog-beanstalk-messaging-queue
Amazon SQS
- Amazon Simple Queue Service
Kafka
- Written at LinkedIn in Scala
- Used by LinkedIn to offload processing of all page and other views
- Defaults to using persistence, uses OS disk cache for hot data (has higher throughput then any of the above having persistence enabled)
- Supports both on-line as off-line processing
ZMQ
- The socket library that acts as a concurrency framework
- Faster than TCP, for clustered products and supercomputing
- Carries messages across inproc, IPC, TCP, and multicast
- Connect N-to-N via fanout, pubsub, pipeline, request-reply
- Asynch I/O for scalable multicore message-passing apps