Getting up and running on Kibana

Collecting and ingesting data into your Elasticsearch cluster is only half the challenge when it comes to extracting insights and building useful outcomes from your datasets. Having access to fully featured and well-documented REST APIs on the Elasticsearch level is super useful, especially when your applications and systems programmatically consume responses from queries and aggregations, among other things. However, end users would much rather use an intuitive visual interface to build visualizations to understand trends in business data, diagnose bugs in their applications, and hunt for threats in their environment.

Kibana is the primary user interface when it comes to interacting with Elasticsearch clusters and, to some extent, components such as Logstash and Beats.

Given Kibana is primarily used to interact with data on Elasticsearch, an Elasticsearch cluster must be available for Kibana to run. The backing Elasticsearch cluster is used to...