Summary

In this chapter, we looked at using Logstash to extract, transform, and load data into Elasticsearch.

First, we looked at the internal workings of Logstash and familiarized ourselves with Logstash pipelines. Next, we explored common and generally useful Logstash input, filter, and output plugins. Finally, we ran through various real-world ETL scenarios and put together corresponding ETL pipelines to process and transform data before loading it into Elasticsearch.

In the next chapter, we look at how Kibana allows for the analysis and visualization of data and makes it possible for users to build and consume solutions on the Elastic Stack.