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Step 1: Configuration file

Create an application.yml file with your license, Kafka clusters, and databases: 
license:
  token: <your-license-token>

clusters:
  my-cluster:
    bootstrap.servers: localhost:9092

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Step 2: Run

Create a docker-compose.yml file
docker-compose.yml
services:
  streemlined:
    image: streemlined/streemlined:latest
    ports:
      - "8080:8080"
    volumes:
      - ./application.yml:/home/app/application.yml
command
docker compose up -d
Open your browser and navigate to http://localhost:8080. You’re ready to build your first pipeline!

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Step 3 (optional): Persist pipelines

By default, pipelines are stored inside the container. If the container is removed, your work is lost. Mount a local directory or use a Docker volume to persist your pipelines across restarts:
docker-compose.yml
services:
  streemlined:
    image: streemlined/streemlined:latest
    ports:
      - "8080:8080"
    volumes:
      - ./application.yml:/home/app/application.yml
      - ./storage:/home/app/storage
The default Streemlined image comes pre-packaged with two Sink Connectors:Need additional connectors? See Adding Connector Plugins to extend Streemlined with more Kafka Connect connectors.

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What’s Next?

Core Concepts

Understand pipelines, nodes, and JSONata

Visual Editor

Master the pipeline editor

Nodes Reference

Explore all available nodes