Kibana 7.12 Docker

Kibana is an open-source data visualization and exploration tool. It provides a web interface through which users can interact with Elasticsearch indices and perform various operations like searching, filtering, and visualizing data. Docker is a popular containerization platform that allows developers to package applications and their dependencies into containers, making it easy to deploy and run them consistently across different environments. In this article, we will explore how to use Docker to run Kibana 7.12.

Installing Docker

Before we can run Kibana using Docker, we need to install Docker on our system. Docker provides installation packages for various operating systems, including Windows, macOS, and Linux. You can follow the official Docker documentation to install Docker on your preferred operating system.

Running Kibana with Docker

Once Docker is installed, we can pull the Kibana Docker image and run it as a container. Open your terminal or command prompt and execute the following command to pull the Kibana 7.12 Docker image:

docker pull docker.elastic.co/kibana/kibana:7.12.0

After the image is downloaded, we can run it as a container using the following command:

docker run -d --name kibana -p 5601:5601 docker.elastic.co/kibana/kibana:7.12.0

Let's break down the above command:

  • -d: This flag runs the container in detached mode, meaning it runs in the background and doesn't block the terminal.
  • --name kibana: This assigns the name "kibana" to the running container.
  • -p 5601:5601: This maps port 5601 of the container to port 5601 on the host system. Kibana's web interface is accessible on port 5601.
  • docker.elastic.co/kibana/kibana:7.12.0: This specifies the name and tag of the Docker image we want to run.

With the above command, Kibana will be up and running on your system. You can access the Kibana web interface by opening your browser and navigating to http://localhost:5601.

Custom Configuration and Plugins

You may want to customize the Kibana configuration or install additional plugins. To achieve this, you can create a configuration file and mount it as a volume within the container. Create a file named kibana.yml with your desired configuration options. For example, if you want to change the default server port to 8080, add the following line to the kibana.yml file:

server.port: 8080

Now, you can start the Kibana container and mount the kibana.yml file as a volume with the following command:

docker run -d --name kibana -p 8080:8080 -v /path/to/kibana.yml:/usr/share/kibana/config/kibana.yml docker.elastic.co/kibana/kibana:7.12.0

The -v flag is used to mount the kibana.yml file from the host system to the container. Make sure to replace /path/to/kibana.yml with the actual path to your kibana.yml file.

To install additional plugins, you can use the Kibana CLI (kibana-plugin) within the container. For example, to install the "Logtrail" plugin, you can run the following command:

docker exec -it kibana kibana-plugin install logtrail

The docker exec command allows you to execute a command inside a running container. In this case, we are running the kibana-plugin install command within the kibana container.

Conclusion

In this article, we explored how to use Docker to run Kibana 7.12. We covered the installation of Docker, pulling the Kibana Docker image, and running it as a container. We also discussed how to customize the Kibana configuration and install additional plugins. Docker provides a convenient and consistent way to run Kibana, making it easier to set up and manage your data visualization and exploration environment.

Remember, for more information, you can always refer to the official documentation of Docker and Kibana. Happy visualizing and exploring your data with Kibana!