Description
Spring Cloud Data Flow, 1st ed.
Native Cloud Orchestration Services for Microservice Applications on Modern Runtimes
Language: EnglishSubject for Spring Cloud Data Flow:
402 p. · 17.8x25.4 cm · Paperback
Description
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- See the Spring Cloud Data Flow internals
- Create your own Binder using NATs as Broker
- Mater Spring Cloud Data Flow architecture, data processing, and DSL
- Integrate Spring Cloud Data Flow with Kubernetes
- Use Spring Cloud Data Flow local server, Docker Compose, and Kubernetes
- Discover the Spring Cloud Data Flow applications and how to use them
- Work with source, processor, sink, tasks, Spring Flo and its GUI, and analytics via the new Micrometer stack for realtime visibility with Prometheus and Grafana
Part I. Introductions
1 - Cloud, Microservices and Big Data an Overview
2 - Quick Introduction to Spring Framework and Spring Boot
3 - Spring Integration
4 - Spring Batch
5 - Spring Cloud6 - Spring Cloud App Stream
7 - Binders
8 – Spring Cloud Data Flow Introduction & Installation
Part II. Spring Cloud Data Flow: Internals
9 - Spring Cloud Data Flow Internals
10 - Custom Source, Processor, Sink, Tasks with Spring Cloud Task
11 - Analytics: Counters and Gauges
Demonstrates how to use Spring Cloud Data Flow for data ingestion, analytics, batch processing, and export
Integrates Spring Cloud Data flow with Apache Mesos, Yarn, and Kubernetes
Shows how to create applications that use real time data streaming