What are Logstash and Elasticsearch used for?

What are Logstash and Elasticsearch used for?

Logstash is a data processing pipeline that ingests data from various sources, transforms it, and sends it to a stash like Elasticsearch. Elasticsearch is a search and analytics engine that allows you to store, search, and analyze large volumes of data quickly.

How do they work together?

They work together by using Logstash to collect and process data, which is then indexed and stored in Elasticsearch for fast retrieval and analysis.

Can you give me an example of how to set them up?

Sure! First, you would install Logstash and configure it to read data from a source, like a log file. Then, you would set up Elasticsearch to receive the processed data from Logstash. Finally, you can use Kibana to visualize the data stored in Elasticsearch.

What are some common use cases for this setup?

Common use cases include log analysis, real-time data monitoring, and search applications where you need to quickly retrieve and analyze large datasets.