Jack-vanlightly.com Website Review

QUORUM QUEUES - MAKING RABBITMQ MORE COMPETITIVE IN RELIABLE MESSAGING. The multiple design defects of RabbitMQ Mirrored Queues have been well docu*ented by the community and acknowledged by the RabbitMQ team. In an age where new messaging systems are appearing that compete in the reliable messaging space, it is critical for RabbitMQ to improve its replicated queue story in order to continue to compete in that space. Which is why it is so exciting to see that the RabbitMQ team have been working hard to deliver a new replicated queue type based on the Raft consensus algorithm. Quorum queues are still in beta and as such are subject to change before release. Likewise, their capabilities will no doubt evolve and improve over future releases. There are currently In this post we'll going to look at the design of Quorum Queues and then in a later post we'll run a series of chaos tests to test the I recently spoke at the RabbitMQ Summit in London about using the Consistent Hash Exchange Afterwards I was asked why I don’t opt for the Sharding Plugin instead. One of the downsides of the Consistent Hash Exchange I spoke of in the talk was that you don’t get automatic queue as*ignment for your consumers. The Sharding Plugin makes an attempt to address this problem but doesn’t go all the way. In this post I’ll describe my issues with the Sharding Plugin Failures can induce message duplication on both the producer and consumer side. In this post we’ll focus solely on producer side duplication, looking at how the deduplication feature works in Apache Pulsar and Apache Kafka. I have run many hours of deduplication tests of both messaging systems and we´ll see the results of those tests. On the producer side, when a producer sends a message and an error occurs, such as a TCP connection failure, the producer has no way to know if the message was persisted or not. We have two choices, send the message again to ensure it gets delivered and risk duplication, or