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Scaling Slackâ€™s Job Queue â€“ Several People Are Coding
Robustly Handling Billions of Tasks in Milliseconds Using Kafka andÂ Redis Slack uses a job queue system for business logic that is too time-consuming to run in the context of a web request. This system is a critical component of our architecture, used for every Slack message post, push notification, URL unfurl, calendar reminder, and billing calculation. On our busiest days, the system processes o
darwinia 2018/02/01
job

queue

go

Kafka

Redis
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Building a Message Queue using Redis in Go - Big elephants
Redis is not just a very good in-memory database, it can also double as a message queue. I want to show you our first shot at implementing a queue in Redis that can fulfill all our requirements: reliable, persistent, fast, monitorable. While still being a Gedankenexperiment the basic idea should be a very good starting point. Although we used Go for our implementation, the concept could be transfe
darwinia 2015/01/06
go

redis

queue
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Tuning Redismq - how to use Redis in Go - Big elephants
In my last article I talked about how redismq employs a simple Redis client to describe a message queue. The first iteration was aimed at proof of concept and to satisfy my own curiosity. Since then adeven decided to use it in production and so we developed the initial idea into a full featured queue. On the way we picked up a lot of interesting stuff which Iâ€™d like to share with you. Performance
darwinia 2015/01/06
go

redis

queue
ãƒªãƒ³ã‚¯
Suhuslot88 Rekomendasi Game Slot Gacor RTP 95% Terpercaya Situs Suhuslot88
Suhuslot88 Rekomendasi Game Slot Gacor RTP 95% Terpercaya Situs Suhuslot88 Nikmati berbagai layanan game slot gacor situs suhuslot88 dan dapatkan berbagai rekomendasi game slot gacor dengan rtp 95% untuk mendapatkan kemenangan setiap hari.
darwinia 2014/10/02
redis

gevent

python

flask

queue
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GitHub - pricingassistant/mrq: Mr. Queue - A distributed worker task queue in Python using Redis & gevent
Simple code: We originally switched from Celery to RQ because Celery's code was incredibly complex and obscure (Slides). MRQ should be as easy to understand as RQ and even easier to extend. Great dashboard: Have visibility and control on everything: queued jobs, current jobs, worker status, ... Per-job logs: Get the log output of each task separately in the dashboard Gevent worker: IO-bound tasks
darwinia 2014/06/21
python

queue

redis

gevent

mongodb
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