Summary

In this chapter, you learned how to import Apache logs and store them in Elasticsearch by creating and executing Logstash configuration files. After moving the Apache logs into the Elasticsearch index, we verified this by listing the index using a web browser. Then, we configured Kibana to import Elasticsearch indexes and verified the same using the Discover tab of Kibana.

Once our log data was in place, we created a visualization using the data metrics option. Then, we created a dashboard using the visualization. After creating the dashboard, you learned to customize it using drag and drop, resizing, deleting, color options, title edit, and so on. This has given us an overall picture on how to use Kibana dashboards, which is quite superficial. You will learn more about the dashboards in the upcoming chapters.

In the next chapter, we will cover the Discover option of Kibana to explore our data. We will cover what Kibana Discover is all about and its features. We will access all documents of every index as long as they are matching with the selected index pattern. We will cover how to search, filter, and view a document's data, and how we can select the desired fields of documents. We will see the number of documents that match with a given search query. Later in the chapter, we will see how, by applying the time filter, we can get the distribution of documents over time using the histogram that is displayed on top of the page.