Kibana, the visualization component of the ELK Stack, is a popular tool for log analysis, working alongside Elasticsearch and Logstash to manage and visualize data. This tutorial provides a comprehensive guide to setting up Kibana on a system with Elasticsearch and Logstash already installed, specifically detailing installation steps on an Ubuntu 16.04 machine and outlining the process of defining index patterns for data analysis. It also explores the comparison between Kibana and OpenSearch Dashboards, especially in light of Elastic's decision to close-source new versions of Elasticsearch and Kibana beyond Version 7.9. Key features of Kibana's querying capabilities are discussed, including the use of the default Kibana Query Language (KQL) and its predecessor Lucene, as well as the implementation of logical and proximity searches. Additionally, the tutorial highlights the autocomplete and filtering features that enhance the search experience in Kibana. For users seeking more advanced log analysis functionalities like anomaly detection and machine learning, the tutorial suggests considering Logz.io's Log Management, which builds on OpenSearch Dashboards. The tutorial concludes by setting the stage for a subsequent guide focused on creating visualizations and dashboards within Kibana.