InfoQ Homepage Java Content on InfoQ
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Donkey: a Highly-Performant HTTP Stack for Clojure
Donkey is the product of the quest for a highly performant Clojure HTTP stack aimed to scale at the rapid pace of growth we have been experiencing at AppsFlyer, and save us computing costs. In this article, we’ll briefly outline the use-case for a library like Donkey and present our benchmarks. Finally, we will discuss Clojure and immutability, and some of our design decisions.
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InfoQ 2020 Recap, Editor Recommendations, and Best Content of the Year
As 2020 is coming to an end, we created this article listing some of the best posts published this year. This collection was hand-picked by nine InfoQ Editors recommending the greatest posts in their domain. It's a great piece to make sure you don't miss out on some of the InfoQ's best content.
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Java InfoQ Trends Report—September 2020
This article provides a summary of how the InfoQ editorial team currently sees the adoption of technology and emerging trends within the Java space in 2020. We focus on Java the language, as well as related languages like Kotlin and Scala, the Java Virtual Machine (JVM), and Java-based frameworks and utilities.
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Azure + Spring Boot = Serverless - Q&A with Julien Dubois
Microsoft seems to prove over and over again its focus on cloud and the Java ecosystem is the new normal. Even though Java has been amongst the supported languages for Azure functions for some time now, Julien Dubois experimented with Spring Boot and Azure to see what this combination means for Azure serverless computing. InfoQ reached out to him to explore further his experience on this topic.
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Running Axon Server in Docker and Kubernetes
Axon Server is an all-in-one solution for CQRS and ES applications written in Java for the Axon Framework. In Part 2 we continue by looking at the platform we run it on; in particular Docker and Kubernetes.
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The Opportunity in App Modernization
The twin pressures of servicing apps running in production and modernizing them to the cloud are putting stress on development and platform teams. App Modernization needs to scale and be made efficient through documentation, products and frameworks. This article looks at the reasons, and approach, to app modernization.
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Project Helidon Tutorial: Building Microservices with Oracle’s Lightweight Java Framework
Oracle introduced its new open-source framework, Helidon, in September 2018. Originally named Java for Cloud, Helidon is a collection of Java libraries for creating microservices-based applications. Within six months of its introduction, Helidon 1.0 was released in February 2019. The current stable release is Helidon 1.4.4, but Oracle is well on their way to releasing Helidon 2.0.
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Java Feature Spotlight: Sealed Classes
The release of Java SE 15 in Sept 2020 will introduce "sealed classes" (JEP 360) as a preview feature. A sealed class is a class or interface which restricts which other classes or interfaces may extend it. Sealed classes, like enums, capture alternatives in domain models, allowing programmers and compilers to reason about exhaustiveness.
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TornadoVM: Accelerating Java with GPUs and FPGAs
The proliferation of heterogeneous hardware represents a problem for programming languages such as Java that target CPUs. TornadoVM extends the Graal JIT compiler to take advantage of GPUs & FPGAs and provides a flexible, high-level model whilst still enabling high performance and features such as live task migration.
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Running Axon Server - CQRS and Event Sourcing in Java
Axon Server Standard Edition is an Open Source, purpose-built solution supporting distributed CQRS and Event Sourcing applications written in Java with the Axon Framework. Part one in this series discusses running it locally and explores aspects of Administration/Security and Configuration. It also discusses more advanced features available with the Enterprise Edition - Clustering/Multi-Contexts.
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Machine Learning in Java with Amazon Deep Java Library
In this article, we demonstrate how Java developers can use the JSR-381 VisRec API to implement image classification or object detection with DJL’s pre-trained models in less than 10 lines of code.
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Apache Arrow and Java: Lightning Speed Big Data Transfer
Apache Arrow puts forward a cross-language, cross-platform, columnar in-memory data format for data. It is designed to eliminate the need for data serialization and reduce the overhead of copying.