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Logstash: 5 Easy Steps To Consume data From RabbitMQ To Elasticsearch.
Introduction
A few days ago, I received an interesting request from one of my best followers. I’ve got to say that I’m thrilled to help out with Logstash.
So let’s get to the point. Nidhi was looking for a way to process logs from a RabbitMQ queue with Logstash and seed an Elasticsearch index with those data.
Well, welcome folks in this awesome journey. Without further ado, let’s jump right in.
Context
What is the matter? Imagine that you have some logs that are published continuously in a RabbitMQ queue (hold on, we’ll go through what is RabbitMQ very soon). You want to process and seed an Elasticsearch index with those logs in order to analyze them with Kibana or any other BI tool. How can Logstash help you to set up that pipeline? That’s the whole purpose of this article.
Description
To build that architecture, we’re going to set up 4 components in our system. Each one of them has got its own set of features. Here there are:
- A logs Publisher
- A RabbitMQ Server With a Queue To Publish data to and receive data from.
- A Logstash Pipeline To Process Data From The RabbitMQ Queue.
