Kibana Docker

Introduction

Kibana is an open-source analytics and visualization platform designed to work with Elasticsearch. It provides interactive visualizations and high-level features such as dashboard and report generation. Running Kibana in a Docker container greatly simplifies the process of setting up and configuring the platform.

Building a Kibana Docker image

To build a Kibana Docker image, you need to create a Dockerfile with the following content:

FROM docker.elastic.co/kibana/kibana:7.11.1

Note that 7.11.1 is the version of Kibana that you want to use, and you can replace it with any other version that you want to use.

Running Kibana Docker container

To run a Kibana Docker container, you can use the following command:

$ docker run -d --name kibana -p 5601:5601 kibana:7.11.1

This command creates a Docker container based on the Kibana Docker image that you built earlier. The -d option runs the container in detached mode, --name kibana gives the container a name, -p 5601:5601 maps port 5601 from the container to port 5601 on the host machine, and kibana:7.11.1 specifies the image to use.

Configuring Kibana

Kibana can be configured using a configuration file located at /usr/share/kibana/config/kibana.yml inside the container. To override the default configuration, you can create a custom kibana.yml file and mount it as a volume in the container. For example:

$ docker run -d --name kibana -p 5601:5601 \
  -v /path/to/kibana.yml:/usr/share/kibana/config/kibana.yml \
  kibana:7.11.1

This command mounts the kibana.yml file located at /path/to/kibana.yml on the host machine to /usr/share/kibana/config/kibana.yml inside the container.

Conclusion

In this introduction, we have seen how to build and run a Kibana Docker container. We have also seen how to configure Kibana using a custom kibana.yml file. Docker provides a simple and effective way of running Kibana without the need for manual installation and configuration, making it a great choice for developers and IT professionals.