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distributed redis queue messaging, makes sure that only a single instance actually works on the task, sequential callback implementation

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node-pohl

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  • reliable distributed rpc messages via redis in simple callback-style
  • ES6, coverage 66%+, lightweight, scalable & fast
  • uses pub & sub, but makes sure that only a single instance actually works on the task via redlock algorithm.
  • kind of rpc library that feels like making simple callbacks except for the fact that you can make them between services and not classes
  • simplistic circuit breaker to prevent timeout waves
  • metric events
  • pauseable receiver (.pause(), .resume()) for green/blue deployment scenarios

#use case

  • image you have enterprise microservices that have to make rpc/rest/soap calls to dispatch other information during incoming requests
  • now think of the potential overhead that protocols like http can cause, you might most likely have to wait for 20-150ms overhead might depend on your infrastructure
  • there has to be a way to have a standing connection, that sends messages reliably, distributed, scalable and fast with a fixed overhead that can be calculated
  • all you need is a redis cluster/sentinel setup (works with single instance as well..), include this lib in your services and call 2 functions thats about it
  • message queuing, task locking, failovers or timeouts have been wrapped in a super simple callback-like syntax that also scales inside of your software to multiple topics and endless message/task types
  • overhead is between 3-5ms constantly
  • benchmarks hits 7500 rpc/s (full-roundtrip) on mobile i7 @ 2GHZ and Redis 3.2.1 single docker instance, with a single sender

#how to use/install

  • npm install pohl
  • check ./example/index.js for a usage example
  • run example with npm start
  • run tests with npm test (requires localhost redis with default conf)
  • run benchmark with npm run benchmark

#other

  • License: MIT
  • Author: Christian Fröhlingsdorf chris@5cf.de

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distributed redis queue messaging, makes sure that only a single instance actually works on the task, sequential callback implementation

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