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# Deploy the Project on CamelX Platform
# Flink
Deploy on CamelX Platform in three steps
Send DataSet jobs to an Apache Flink cluster.
## Step 1: Create a release
From the project space, click on **"Create a release"**
## Metadata
The new version is automatically available in the list
| Property | Value |
|----------|-------|
| Scheme | `flink` |
| Support Level | Stable |
| Labels | transformation,bigdata |
| Version | 4.10.2 |
## Step 2: Deploy
Click on **"Deploy"**
## Maven Dependency
- **Version:** Select the desired release
- **Environment:** Choose `Development`, `Staging`, or `Production`
- **Configuration:** Select the configuration source
- **Resources:** Set CPU and Memory
```xml
<dependency>
<groupId>org.apache.camel</groupId>
<artifactId>camel-flink</artifactId>
<version>4.10.2</version>
</dependency>
```
## Step 3: Expose
Enable **"Expose"**
## Endpoint Properties
Choose an **API Gateway** (Internal, Public, etc.)
| Name | Type | Required | Default | Description |
|------|------|----------|---------|-------------|
| `endpointType` | object | ✓ | | Type of the endpoint (dataset, datastream). |
| `collect` | boolean | | `true` | Indicates if results should be collected or counted. |
| `dataSet` | object | | | DataSet to compute against. |
| `dataSetCallback` | object | | | Function performing action against a DataSet. |
| `dataStream` | object | | | DataStream to compute against. |
| `dataStreamCallback` | object | | | Function performing action against a DataStream. |
| `lazyStartProducer` | boolean | | `false` | Whether the producer should be started lazy (on the first message). By starting lazy you can use this to allow CamelContext and routes to startup in situations where a producer may otherwise fail during starting and cause the route to fail being started. By deferring this startup to be lazy then the startup failure can be handled during routing messages via Camel's routing error handlers. Beware that when the first message is processed then creating and starting the producer may take a little time and prolong the total processing time of the processing. |