Spring Cloud Data Flow Server for Kubernetes
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Spring Cloud Data Flow Server for Kubernetes

Eric Bottard, Florian Rosenberg, Sabby Anandan, Marius Bogoevici, Mark Fisher, Ilayaperumal Gopinathan, Gunnar Hillert, Mark Pollack, Patrick Peralta, Glenn Renfro, Thomas Risberg, Dave Syer, David Turanski, Janne Valkealahti

1.2.0.BUILD-SNAPSHOT

Copyright © 2013-2017 Pivotal Software, Inc.

Copies of this document may be made for your own use and for distribution to others, provided that you do not charge any fee for such copies and further provided that each copy contains this Copyright Notice, whether distributed in print or electronically.

Table of Contents

I. Introduction
1. Introducing Spring Cloud Data Flow for Kubernetes
2. Spring Cloud Data Flow
3. Spring Cloud Stream
4. Spring Cloud Task
II. Architecture
5. Introduction
6. Microservice Architectural Style
6.1. Comparison to other Platform architectures
7. Streaming Applications
7.1. Imperative Programming Model
7.2. Functional Programming Model
8. Streams
8.1. Topologies
8.2. Concurrency
8.3. Partitioning
8.4. Message Delivery Guarantees
9. Analytics
10. Task Applications
11. Data Flow Server
11.1. Endpoints
11.2. Customization
11.3. Security
12. Runtime
12.1. Fault Tolerance
12.2. Resource Management
12.3. Scaling at runtime
12.4. Application Versioning
III. Getting Started
13. Deploying Streams on Kubernetes
IV. Server Configuration
14. Feature Toggles
15. General Configuration
16. Database Configuration
17. Security
18. Monitoring and Management
18.1. Server
18.2. Streams
18.3. Tasks
V. Dashboard
19. Introduction
20. Apps
20.1. Bulk Import of Applications
21. Runtime
22. Streams
23. Create Stream
24. Tasks
24.1. Apps
24.1.1. Create a Task Definition from a selected Task App
24.1.2. View Task App Details
24.2. Definitions
24.2.1. Creating Task Definitions using the bulk define interface
24.2.2. Creating Composed Task Definitions
24.2.3. Launching Tasks
24.3. Executions
25. Jobs
25.1. List job executions
25.1.1. Job execution details
25.1.2. Step execution details
25.1.3. Step Execution Progress
26. Analytics
VI. Server Implementation
27. Server Properties
VII. ‘How-to’ guides
28. Logging
28.1. Deployment Logs
VIII. Appendices
A. Migrating from Spring XD to Spring Cloud Data Flow
A.1. Terminology Changes
A.2. Modules to Applications
A.2.1. Custom Applications
A.2.2. Application Registration
A.2.3. Application Properties
A.3. Message Bus to Binders
A.3.1. Message Bus
A.3.2. Binders
A.3.3. Named Channels
A.3.4. Directed Graphs
A.4. Batch to Tasks
A.5. Shell/DSL Commands
A.6. REST-API
A.7. UI / Flo
A.8. Architecture Components
A.8.1. ZooKeeper
A.8.2. RDBMS
A.8.3. Redis
A.8.4. Cluster Topology
A.9. Central Configuration
A.10. Distribution
A.11. Hadoop Distribution Compatibility
A.12. YARN Deployment
A.13. Use Case Comparison
A.13.1. Use Case #1
A.13.2. Use Case #2
A.13.3. Use Case #3
B. Building
B.1. Documentation
B.2. Working with the code
B.2.1. Importing into eclipse with m2eclipse
B.2.2. Importing into eclipse without m2eclipse
C. Contributing
C.1. Sign the Contributor License Agreement
C.2. Code Conventions and Housekeeping
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