Introduction In order to be able to search our logs based on a key/value pattern, we need to prepare our application to log and send information in a structured way to our log aggregation tool. In this article I am going to show you how to send structured log to ElasticSearch using Logstash as a data pipeline tool and how to visualize and filter log information using Kibana. According to a definition from the Wikipedia website: Elasticsearch is a search engine based on the Lucene library. It provides a distributed, multitenant-capable full-text search engine with an HTTP web interface and schema-free JSON documents. According to Elasticsearch platform website , Elasticsearch is the heart of the Elastic stack, which centrally stores your data for lightning fast search. The use of Elasticsearch, Kibana, Beats and Logstash as a search platform is commonly known as the ELK stack. Next we are going to start up Elasticsearch, Kibana and Logstash using docker so we can better underst