Most recent blog posts

Part 3: The RabbitMQ Management Interface

Outline of the RabbitMQ management interface. In the RabbitMQ web interface queues can be handled, created, deleted and listed directly from the web browser.

By Lovisa Johansson Read More

Part 2.3: Getting started with RabbitMQ and Python

Part 2.3 of RabbitMQ for beginners - Tutorial and example of source codes for Python and the client library Pika.

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Part 2.2: Getting started with RabbitMQ and Node.js

Part 2.2 of RabbitMQ for beginners - Tutorial and example of source codes for Node.js and the client library amqplib.

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Part 2.1: Getting started with RabbitMQ and Ruby

Part 2.1 of RabbitMQ for beginners - Tutorial and example of source codes for Ruby and the client library Bunny.

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Part 1: RabbitMQ for beginners - What is RabbitMQ?

RabbitMQ for beginners explains what RabbitMQ and message queuing is. It gives a brief understanding of messaging and important RabbitMQ concepts are explained.

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Plan changes for our shared instances

We have decided to add limits on allowed number of messages sent during one month for an instance. We have also changed the maximum number of concurrent connections. These limitations will only affect our shared plans Little Lemur and Tough Tiger.

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RabbitMQ 3.5

RabbitMQ 3.5 is released! From this point, all new created clusters will be running RabbitMQ 3.5.1. Already running dedicated clusters can be upgraded from our console page.

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Plan changes for CloudAMQP shared instances

We have decided to add limits for number of queues and number of queued messages for an instance. These limitations will only affect our shared plans Little Lemur and Tough Tiger.

By Lovisa Johansson Read More

New high performance plan - Happy Hippo

We are happy to announce a new high performance plan for the public, Heavy Hippo! This is a plan that allow a very high message rate.

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The RabbitMQ federation plugin

Federation has several use-cases; collect messages from multiple clusters to a central cluster, distribute load of one queue to multiple other clusters and when migrating to another cluster without stopping all producers/consumers while doing so.

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