Getting Started
This version of Spring Cloud Data Flow provides: Spring Boot 3.x Support |
3. Getting Started - Local
This section covers how to get started with Spring Cloud Data Flow running locally on Docker Compose. See the Local Machine section of the microsite for more information on installing Spring Cloud Data Flow on Docker Compose.
4. Getting Started - Cloud Foundry
This section covers how to get started with Spring Cloud Data Flow on Cloud Foundry. See the Cloud Foundry section of the microsite for more information on installing Spring Cloud Data Flow on Cloud Foundry.
Once you have the Data Flow server installed on Cloud Foundry, you probably want to get started with orchestrating the deployment of readily available pre-built applications into coherent streaming or batch data pipelines. We have guides to help you get started with both Stream and Batch processing.
5. Getting Started - Kubernetes
This section covers how to get started with Spring Cloud Data Flow running locally on Kubernetes. See Deployment using Carvel and Configuration - Kubernetes for more information on installing Spring Cloud Data Flow on Kubernetes.
Once you have the Data Flow server installed on Kubernetes, you probably want to get started with orchestrating the deployment of readily available pre-built applications into a coherent streaming or batch data pipelines. We have guides to help you get started with both Stream and Batch processing.
We have prepared scripts to simplify the process of creating a local Minikube or Kind cluster, or to use a remote cluster like GKE or TKG, more at Configure Kubernetes for Local Development