This is a docker-compose configuration for a pipeline that reads data from a Kafka topic, processes it with Benthos, and stores it in Elasticsearch.

You will need to have Docker and Docker Compose installed in your system.

The pipeline consists of the following services:

• zookeeper: Apache ZooKeeper instance used by Kafka for coordination.
• kafka: Apache Kafka instance used as the data source and sink for the pipeline.
• elasticsearch: Elasticsearch instance used as the storage backend for the pipeline.
• kibana: Kibana instance used as a web-based UI to visualize Elasticsearch data.
• benthos: Benthos instance used as the processing engine for the pipeline.

The configuration of the pipeline is defined in the docker-compose.yml file. By default, the pipeline reads data from a Kafka topic named kbe-topic, applies a Benthos pipeline that simply logs the messages to the console, and stores the messages in Elasticsearch under an index named kbe-index.

If you need to modify the pipeline configuration, you can do so by editing the docker-compose.yml file directly or by providing an alternative configuration file using the -f option of docker-compose.

To run the pipeline, execute the following command in the same directory as the docker-compose.yml file:

docker-compose up

This will start all the required services and display their logs in the console. If you want to run the pipeline in detached mode, you can use the -d option:

docker-compose up -d

To stop the pipeline and remove the containers, use the following command:

docker-compose down

You can access the Kibana UI by opening a web browser and navigating to http://localhost:5601. From there, you can create visualizations and dashboards based on the data stored in Elasticsearch.

To access Elasticsearch directly, you can use the following URL: http://localhost:9200. You can use tools like curl or Postman to send queries to Elasticsearch or inspect the stored data.

This configuration is intended for demonstration and testing purposes only. It may not be suitable for production environments and should be used at your own risk.