InfoQ Homepage Development Content on InfoQ
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Effective Java, Third Edition - Keepin' it Effective
Joshua Bloch covers some highlights from the third edition of “Effective Java”, concentrating on streams and lambdas.
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Java 11 - Keeping the Java Release Train on the Right Track
Jeanne Boyarsky reviews code examples of the new features in Java 11, and also features of Java 10. She also discusses the impact of the new Java release train on production code.
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IoT and Microservices
Fred George discusses how to implement an IoT solution with asynchronous microservices, detailing such a solution using Hue lights, Amazon Alexa, Apple TV and Docker.
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Is Boilerplate Code Really So Bad?
Trisha Gee explores common coding scenarios using Java and Kotlin, discussing Java's evolution to improve productivity, and why staying up to date with Java can help.
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Serverless and Java in the Real World
John Chapin describes the nuts and bolts of building large-scale serverless applications using Java, showcasing the efficiency of Java and several examples of scalable, evolvable, Lambda apps
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Java at Scale
Steve Poole explores the cutting edge of “Java at Scale” and discusses how the use cases are being reflected in new thoughts about Java and the JVM.
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Cluster Consensus: When Aeron Met Raft
Martin Thompson explains how consensus algorithms operate and the techniques that can be applied to make them efficient. Thompson covers the mechanics of a working consensus system.
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Applied Performance Theory
Kavya Joshi explores the use of performance theory in real systems at companies like Facebook, and discusses how it can be leveraged, to prepare systems for flux and scale.
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High Performance Actors
Kiki Carter takes a deep-dive to investigate how efficient resource utilization is achieved with Akka & looks at some of the other libraries that Akka leverages for improved efficiency-Aeron, JCTools
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Distributed Tracing: Latency Analysis for Your Microservices Using Spring Cloud & Zipkin
Marcin Grzejszczak, Reshmi Krishna discuss some of the latest features introduced in Spring Cloud Sleuth, showing how to use them to measure latency in a Spring Boot application.
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Quickly Build Spring Boot Applications to Consume Public Cloud Services
Prasad Bopardikar , Colin Stevenson discuss creating Spring Boot apps that can be deployed on PCF on various public clouds.
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