스프링 클라우드 데이터 플로우 공식 레퍼런스를 한글로 번역한 문서입니다.

버전은 2.9.1 기준입니다.

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목차:

1. Installation
   • Local Machine
     • Docker Compose
     • Docker Compose Customization
     • Manual
   • Cloud Foundry
     • Cloud Foundry CLI
     • Running locally
   • Kubernetes
     • Creating a Cluster
     • Helm
     • kubectl
     • Kubernetes Compatibility
   • Migration
     • Migrate from 2.7 to 2.8
2. Concepts
   • Architecture
   • Stream Processing
   • Batch Processing
   • Monitoring
   • Tooling
3. Stream Developer guides
   • Getting Started
     • Stream Processing
   • Stream Development
     • Stream Application Development
     • Stream Application Deployment
     • Stream Processing using Spring Cloud Data Flow
     • Spring Application Development on other Messaging Middleware
   • Programming Models
   • Continuous Delivery
     • Continuous Delivery of Streaming Applications
   • Troubleshooting
     • Debugging Stream Applications
     • Debugging Stream applications deployed by Data Flow
4. Batch Developer guides
   • Getting Started
     • Getting Started with Task Processing
   • Batch Development
     • Simple Task
     • Spring Batch Jobs
     • Register and Launch a Spring Cloud Task application using Data Flow
     • Register and launch a Spring Batch application using Data Flow
     • Create and launch a Composed Task using Data Flow
     • Deploying a task application on Kubernetes with Data Flow
     • Deploying a task application on Cloud Foundry using Spring Cloud Data Flow
   • Continuous Deployment
     • Continuous Deployment of task applications
   • Troubleshooting
     • Debugging Batch applications
     • Debugging Batch applications deployed by Data Flow
5. Feature guides
   • General
     • Server Monitoring
   • Stream
     • Deployment Properties
     • Composing Functions
     • Named Destinations
     • Stream Monitoring
     • Stream Distributed Tracing
     • Stream Application DSL
     • Labeling Applications
     • Application Count
     • Fan-in and Fan-out
     • Data Partitioning
     • Scaling
     • Stream Java DSL
     • Tapping a Stream
   • Batch
     • Deployment Properties
     • Scheduling Batch Jobs
     • Remote Partitioned Batch Job
     • Task Monitoring
     • Restarting Batch Jobs
     • Composed Tasks
     • Task Java DSL
6. Commercial feature guides
7. Recipes
   • Polyglot
     • Python Stream Processor
     • Python Task
     • Python Application
   • RabbitMQ
     • RabbitMQ as Source and Sink
   • Apache Kafka
     • External Kafka Cluster
   • Amazon Kinesis
     • Amazon Kinesis Binder
   • Multiple Platform Deployments
     • Role of Multiple Platform Deployments
     • Multiple Platform support for Tasks
   • Scaling
     • Manual Scaling
     • Autoscaling
   • Batch
     • Batch-only Mode
     • SFTP to JDBC
   • Functional Applications
     • Functional Applications
   • Cloud Providers
     • GKE Regional Clusters
8. Resources
   • Reference Documentation
   • Samples
   • Frequently Asked Questions
9. Applications
   • Pre-packaged Applications
   • Pre-packaged Applications 2.x
   • Migration Guide for Pre-packaged Stream Applications
   • Application Metadata

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Next :

Installation
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