Logstash mainly started as a project for managing logs, but it has since been extended to analyze any type of data, be it event data, timestamped data, application logs, transactional data, CSV data, file input, and so on. Data can be structured, unstructured, or semi-structured, which makes it difficult to convert the data into a proper format. To manage logs of different types coming in from different systems, we require a tool which is powerful in handling the various different types of log data and analyzing it in near-real-time to generate insights from the log data. Logstash helps you to collect data from multiple systems into a central system wherein data can be parsed and processed as required. Also, Logstash helps you to gather the data from multiple systems and store the data in a common format, which is easily used by Elasticsearch and Kibana.
Logstash allows you to pipeline data, which can be extracted, cleansed, transformed, and loaded to gain valuable...