Kibana Interview Questions and Answers

Kibana is an open source data visualization plugin for Elasticsearch. It provides visualization capabilities on top of the content indexed on an Elasticsearch cluster. Users can create bar, line and scatter plots, or pie charts and maps on top of large volumes of data. The combination of Elasticsearch, Logstash, and Kibana, referred to as the “Elastic Stack” (formerly the “ELK stack”), is available as a product or service. Logstash provides an input stream to Elastic for storage and search, and Kibana accesses the data for visualizations such as dashboards.

Kibana is the visualization layer of the ELK Stack. the world’s most popular log analysis platform which is comprised of Elasticsearch, Logstash, and Kibana.

What is Kibana?

Kibana is an open source (Apache Licensed) data visualization and exploration platform from Elastic that is specialized for large volumes of streaming and real-time data. It is easily performed advanced data analysis and visualize data in a variety of charts, tables, and maps. Kibana makes it easy to understand large volumes of data. It’s simple, browser-based interface enables you to quickly create and share dynamic dashboards that display changes to Elasticsearch queries in real time.

What are the features of Kibana?

What is the ELK Stack?

The ELK stack consists of Elasticsearch, Logstash, and Kibana. Although they’ve all been built to work exceptionally well together, each one is a separate project that is driven by the open-source vendor Elastic which itself began as an enterprise search platform vendor. It has now become a full-service analytics software company, mainly because of the success of the ELK stack. Wide adoption of Elasticsearch for analytics has been the main driver of its popularity.

ELK stack setup has three main components:

Elasticsearch: It is used to store all of the application and monitoring logs (Provisioned by Qbox).

Logstash: The server component that processes incoming logs and feeds to ES.

Kibana: A web interface for searching and visualizing logs (Provisioned by Qbox).

Why ELK?

It is a powerful tool combination for log management and data analysis, built on a combination of three open source tools: Elasticsearch, Logstash, and Kibana. These combined provide an all in one system for data storage, retrieval, and sorting and data analysis. ELK is becoming the most common open source, log management platform used globally. Here’s why you should be using ELK:

It is solid design allows for effortless data analysis
It is extendable sources and aggregations allow many possibilities
It is data visualization and exploration out of the box for free

What is an X pack?

Can you explain Kibana Interface?

It is divided in to four sections.

Discover: This section, you can interactively explore your data from the Discover page.

Visualize: this section, page is where you can create, modify, and view your own custom visualizations.

Dashboard: This section, page is where you can create, modify, and view your own custom dashboards.

Settings: This Section, page lets you change a variety of things like default values or index patterns.

Explain Kibana Discover interface elements?

Search Bar: It is directly under the main navigation menu. Use this to search specific fields and/or entire messages

Time Filter: It is use this to filter logs based on various relative and absolute time ranges. Top-right (clock icon).

Field Selector: Select fields to modify which ones are displayed in the Log View. Left, under the search bar.

Date Histogram: By default, this shows the count of all logs, versus time (x-axis), matched by the search and time filter. You can click on bars, or click-and-drag, to narrow the time filter. Bar graph under the search bar.

Log View: Use this to look at individual log messages, and display log data filtered by fields. If no fields are selected, entire log messages are displayed. Bottom-right.

Can you explain Kibana Dashboard?

The Kibana Dashboard page is where you can create, modify, and view your own custom dashboards. With a dashboard, you can combine multiple visualizations onto a single page, then filter them by providing a search query or by selecting filters by clicking elements in the visualization. Dashboards are useful for when you want to get an overview of your logs and make correlations among various visualizations and logs.

How to create Kibana Dashboard?

To create a Kibana dashboard, first, click the Dashboard menu item. Here is a breakdown of the steps that are being performed:
Clicked Add Visualization icon
Added “Log Counts” pie chart and “Nginx: Top 10 client IP” histogram
Collapsed the Add Visualization menu
Rearranged and resized the visualizations on the dashboard
Clicked Save Dashboard icon
Choose a name for your dashboard before saving it.

Can you define kibana.yml?

Can you define Kibana Port?

Can you explain Kibana Docker Image?

Can you define Filebeat?

Can you explain Elastic Stack?

Elastic Stack is a group of open source products from Elastic designed to help users take data from any type of source and in any format and search, analyze, and visualize that data in any time. The product group was formerly known as ELK Stack, in which the letters in the name stood for the products in the group: Elasticsearch, Logstash and Kibana. A fourth product, Beats, was subsequently added to the stack, rendering the potential acronym unpronounceable. Elastic Stack can be deployed on premises or made available as Software as a Service (SaaS).