How to get data from Kibana using Elastic search

Kibana is a web-based user interface for Elasticsearch that allows you to visualize and analyze data stored in Elasticsearch. Here's an example of how to use Kibana with Elasticsearch:

1.Install and Configure Elasticsearch and Kibana:

• Install Elasticsearch and Kibana on your machine or server.

• Configure Elasticsearch by setting up an index with a mapping that defines the fields and their data types.

• Configure Kibana by specifying the Elasticsearch endpoint URL and creating an index pattern that maps to the Elasticsearch index.

2.Visualize Data in Kibana:

• Once Kibana is configured, you can access it in a web browser using the Kibana URL.

• In Kibana, you can create visualizations that show data from Elasticsearch, such as line charts, bar charts, tables, and maps.

• To create a visualization, click on "Visualize" in the Kibana navigation menu and select the type of visualization you want to create. Then, select the Elasticsearch index and configure the visualization settings, such as the data source, filters, and aggregation functions.

Create Dashboards in Kibana:

• Dashboards are collections of visualizations that allow you to view multiple visualizations in one place.

• To create a dashboard, click on "Dashboard" in the Kibana navigation menu and select "Create dashboard".

• Then, add the visualizations you want to display on the dashboard by clicking on "Add" and selecting the visualization from the list.

2.Analyze Data in Kibana:

• In addition to visualizations and dashboards, Kibana provides several other features for analyzing data, such as Discover, Canvas, and Timelion.

• Discover allows you to explore and search the data in Elasticsearch using a simple search interface.

• Canvas allows you to create custom visualizations and presentations using a flexible design interface.

• Timelion allows you to analyze time-series data using a powerful query language and visualization tools.

These are just a few examples of how to use Kibana with Elasticsearch. There are many more features and capabilities available, such as creating alerts, setting up machine learning models, and integrating with other data sources.