InfoQ Homepage Java Content on InfoQ
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Keeping Up with Java: Look at All These New Features!
Gil Tene discusses some of the new Java deployment features, and issues that will affect migration of applications from earlier versions.
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Spring HATEOAS: Hypermedia APIs with Spring
Oliver Drotbohm and Greg Turnquist discuss how to build flexible web services using hypermedia with Spring HATEOAS 1.0.
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Building Better Monoliths: Implementing Modulithic Applications with Spring
Oliver Drotbohm identifies the common issues in unstructured monoliths and discusses approaches to package design, component structure, transactions, and the usage of events.
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Best Practices to Spring to Kubernetes Easier and Faster
Ray Tsang introduces tools -Jib, Skaffold- and best practices to adopt Kubernetes faster and easier.
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Apache Kafka Event-streaming Platform for .NET Developers
Viktor Gamov reviews Kafka -internal architecture, fault-tolerance, message durability- and how the Confluent .NET client offers a framework for computation over streaming data.
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From Idea to Dev to Ops
James Ward, Josh Long, Matt Raible show how to regain some of the simplicity by taking advantage of the latest in cloud services and Spring.
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RabbitMQ and Kafka
Zoe Vance, Madhav Sathe discuss the architecture and design of RabbitMQ and Kafka, and how that impacts performance, scalability and app design.
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FF4J: Feature Toggling for Spring/Spring Boot Applications
Sasi Peri shows feature toggling using FF4J framework for Spring/Spring Boot applications.
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Spring Cloud on Kubernetes
Ryan Baxter, Alexandre Roman explain how to build Spring Cloud applications and deploy them to Kubernetes.
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Scaling Beyond a Billion Transactions Per Day with Sub-second Responses
Andrey Zolotov, Gideon Low present their journey of transition to distributed data processing using GemFire and the challenges faced along the way.
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How to Live in a Post–Spring Cloud Netflix World
Marcin Grzejszczak and Olga Maciaszek-Sharma discuss how Netflix has frozen certain projects running on Spring Cloud and moved to new ones.
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Using Metrics to Ensure Quality Applications in Pivotal Platform
Tom Martin and Sam Reed show how to set up automatic service discovery with Eureka, some auto scaling problems of microservices, and how to configure Prometheus and Grafana to gather and show metrics.
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