InfoQ Homepage Spring Content on InfoQ
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Spring Data Hazelcast: Fluently Accessing Distributed Repositories
Victor Gamov and Neil Stevenson present using Spring Data for a Hazelcast project, built on the KeyValue module and providing infrastructure components for creating repository abstractions.
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The Seven Righteous Fights
Heidi Waterhouse discusses seven issues to tackle during project development: Localization, Security, Extensibility, Documentation, Affordance, Acceptance, Accessibility.
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Spring with ApacheNiFi
Oleg Zhurakousky provides a quick introduction to Apache NiFi, demonstrates its core features while concentrating on WHY/WHERE and HOW of integrating with Spring.
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Writing Comprehensive and Guaranteed Up-to-Date REST API Documentation
Andreas Evers introduces Spring REST Docs and its test-driven approach to RESTful API documentation.
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Bootiful Microservices in a Legacy Environment: Lessons Learned
David Julia describes some patterns that Pivotal Labs have employed over the last two years of building Spring Boot based microservices in the context of legacy systems.
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Microservices: Organizing Large Teams for Rapid Delivery
The speakers discuss the organizational structure and communication and development strategies and tools to allow teams to work in parallel without drowning in process overhead and coordination costs.
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The Journey from Monolith to Microservices: A Guided Adventure
Mike Gehard takes the journey from monolith to microservices.
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Real World Microservices with Spring Cloud, Netflix OSS and Kubernetes
Christian Posta explains building microservices with Spring, Spring Cloud, and Netflix OSS and running them on Docker and Kubernetes.
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Orchestrate All the Things! with Spring Cloud Data Flow
Eric Bottard and Ilayaperumal Gopinathan discuss easy composition of microservices with Spring Cloud Data Flow.
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Lessons Learnt - Migrating from Spring XD to Spring Data Cloud Flow
Katie Mooney, Dillon Woods and Cahlen Humphreys point out key differences in Spring XD that have been resolved in Spring Cloud Data Flow.
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Reactive Kafka
Rajini Sivaram talks about Kafka and reactive streams and then explores the development of a reactive streams interface for Kafka and the use of this interface for building robust applications.
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Cloud Native Streaming and Event-driven Microservices
Marius Bogoevici demonstrates how to create complex data processing pipelines that bridge the big data and enterprise integration together and how to orchestrate them with Spring Cloud Data Flow.
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