> ## Documentation Index
> Fetch the complete documentation index at: https://docs.streemlined.io/llms.txt
> Use this file to discover all available pages before exploring further.
# Quickstart
> Get Streemlined running in 5 minutes
## Step 1: Configuration file
Create an `application.yml` file with your license, Kafka clusters, and databases:
```yaml application.yml (Minimal) theme={null}
license:
token:
clusters:
my-cluster:
bootstrap.servers: localhost:9092
```
```yaml application.yml (Full) theme={null}
license:
token:
clusters:
my-cluster:
bootstrap.servers: localhost:9092
security.protocol: SASL_PLAINTEXT
sasl.mechanism: PLAIN
sasl.jaas.config: |
org.apache.kafka.common.security.plain.PlainLoginModule required
username="admin"
password="secret";
registry:
# Full list of available Schema Registry properties
# https://docs.confluent.io/platform/current/schema-registry/sr-client-configs.html
schema.registry.url: http://localhost:8081
basic.auth.credentials.source: USER_INFO
basic.auth.user.info: username:password
databases:
default:
# Full list of available JDBC connection properties
# https://docs.confluent.io/kafka-connectors/jdbc/current/sink-connector/sink_config_options.html#connection
connection.url: jdbc:postgresql://localhost:5432/mydb
connection.user: postgres
connection.password: secret
```
## Step 2: Run
Create a `docker-compose.yml` file
```yaml docker-compose.yml theme={null}
services:
streemlined:
image: streemlined/streemlined:latest
ports:
- "8080:8080"
volumes:
- ./application.yml:/home/app/application.yml
```
```bash command theme={null}
docker compose up -d
```
```bash command theme={null}
docker run -p 8080:8080 -v ./application.yml:/app/application.yml streemlined/streemlined:latest
```
Open your browser and navigate to [http://localhost:8080](http://localhost:8080).
You're ready to build your first pipeline!
## 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:
```yaml docker-compose.yml theme={null}
services:
streemlined:
image: streemlined/streemlined:latest
ports:
- "8080:8080"
volumes:
- ./application.yml:/home/app/application.yml
- ./storage:/home/app/storage
```
```yaml docker-compose.yml theme={null}
services:
streemlined:
image: streemlined/streemlined:latest
ports:
- "8080:8080"
volumes:
- ./application.yml:/home/app/application.yml
- storage:/home/app/storage
volumes:
storage:
```
The default Streemlined image comes pre-packaged with two Sink Connectors:
* [JDBC Connector for Apache Kafka](https://github.com/Aiven-Open/jdbc-connector-for-apache-kafka) — Transfer data from Kafka topics to relational databases
* [HTTP Connector for Apache Kafka](https://github.com/Aiven-Open/http-connector-for-apache-kafka) — Send data from Kafka topics to HTTP endpoints
Need additional connectors? See [Adding Connector Plugins](/connector-plugins) to extend Streemlined with more Kafka Connect connectors.
## What's Next?
Understand pipelines, nodes, and JSONata
Master the pipeline editor
Explore all available nodes