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Kibana is one of the open-source data visualization and examination tools. This is considered to be an application monitoring and operational intelligence use case. It uses various histograms, line graphs and built-in geospatial support more efficiently.

Kibana will provide three main functions to make our data actionable

  • It is an open source framework for visualization. Using Kibana, we can explore the results and will create dashboards and visualizations.
  • This is a user interface managing the Elastic stack. It will control the security settings, allocate user tasks, take snapshots, roll up data and many more. This tool’s user interface accepts us to perform these tasks overall.
  • A constant platform for solutions given by Elastic. It will be the hub for accessing these and other features, from log analytics and content discovery to SIEM.

How to get the data into the Kibana?

Kibana has Elastic search as source data. Elastic search will be data storage and can be a processing engine, with Kibana placed on top of it.

Kibana will offer the following data collection options

  • Kibana is having a built-in video tutorial on setting up a data flow to elastic search.
  • To connect a collection of sample data and take Kibana on the test drive without loading yourself.
  •  By using the file upload function, we can  import static or constant data.
  • It has the index of data with the REST APIs or application libraries into elastic search.
  • Kibana accepts an index template to say which indices to show in an elastic search.

The features of Kibana has

  • The visualization feature which assists in viewing the data in different forms like line charts and tables.GUI is also there in the home menu. Here by visualization, Kibana supports the ability to add interactive controls to dashboards and real-time filtering of the dashboard information.
  • It will have an opportunity to give the data in a pixel-perfect report and is visually satisfying. It also gives a wow factor that can be required to impress the client or one to whom we want data to be visualized.
  • The map allows us to ask specific questions about our data-based location. This map feature supports several layers and data sources, visualization of individual geo dots and shapes, and dynamic styling on the client side.
  • TSB helps us in Kibana to combine an infinite number of aggregations to offer meaningful show complex data so that it will be represented in a more beautiful way.

What is Elastic search?

Elasticsearch is known as open source and is used as a distributed search and analytics engine for all data, which includes textual data and numerical data and also structured data and even unstructured data. This Elasticsearch is the core component of elasticsearch. This is even a stack publication. This Elastic stack is a collection of open source tools for data ingestion, enrichment, storage, analysis and visualization known for its REST APIs design, speed, and scalability.

Uses of this Elasticsearch:

  • Application search
  • Website search
  • Enterprise search
  • Logging and log analytics
  • Infrastructure metrics and container monitoring
  • Application performance monitoring
  • Geospatial data analysis and visualization
  • security analytics
  • Business analytics.

Working of the Elasticsearch

Elasticsearch is called as unprocessed data, which data can be transferred from different sources that, includes the logs data, the system metrics data and also normalizes it. It enriches these raw data before it will be indexed in elasticsearch and it uses the aggregations to retrieve complex summaries of their data.

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Use of Kibana and Elastic search:

Kibana is Elasticsearch’s data visualization and management tool which will provide histograms, line graphs, pie charts and maps in real-time will provide specialized software such as Canvas which enables users to build custom and dynamic data-based infographics and Elastic Maps for geospatial data visualization.

Which programming languages are supported by Kibana?

Elasticsearch supports the following programming languages

  • Java programming language
  • Javascript programming language
  • Go programming language
  • .NET programming language


1. What is Kibana?

2. What are the features of Kibana?

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