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InfoQ Homepage Pivotal Content on InfoQ

  • 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.

  • 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.

  • 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.

  • 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.

  • 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.

  • Spring Boot Tutorial: Building Microservices Deployed to Google Cloud

    In this tutorial, the reader will get a chance to create a small Spring Boot application, containerize it and deploy it to Google Kubernetes Engine using Skaffold and the Cloud Code IntelliJ plugin.

  • The Future of Spring Cloud's Hystrix Project

    The Spring Cloud Hystrix Project was built on top of the similarly-named Netflix project. The latter has recently been placed into maintenance mode, leaving Java developers wondering where to migrate to. The Resilience4j project aims to fill that gap and provide continuity for cloud native Java projects.

  • Java InfoQ Trends Report - July 2019

    The InfoQ Java trend report provides an overview of technology adoption and commentary on how we see the Java and JVM-related space evolving in 2019. Key developments include the release of Java 13, the rise of non-HotSpot JVMs and the evolution of GraalVM, and the changing landscape of Java microservice frameworks.

  • Decoupling in Cloud Era: Building Cloud Native Microservices with Spring Cloud Azure

    To implement a microservices architecture there are common patterns to use. Spring Cloud realizes these patterns as building blocks, and Spring Cloud Azure takes it one step further.

  • Modeling Uncertainty with Reactive DDD

    Vaughn Vernon has written several books on DDD and reactive messaging patterns, and has found that the nature of distributed systems means you must deal with uncertainty. How to respond to a missing message, or a message that is received twice, should be a business decision, and therefore must be part of the domain model.

  • Build a MySQL Spring Boot App Running on WildFly on an Azure VM

    How to build a demo site that runs on the WildFly application platform and connects to a MySQL database in the cloud, on Microsoft Azure. The premise seems simple, but the implementation can be tricky, and there is limited documentation on how to set something like this up.

  • Servlet and Reactive Stacks in Spring Framework 5

    Spring Framework 5 supports both traditional servlet-based and reactive web stacks, in the same server application, reflecting a major shift towards asynchronous, non-blocking concurrency in applications. In this article Spring committer Rossen Stoyanchev explores and contrasts both stacks, and explains the range of available choices, and provides guidance for choosing the appropriate stack.

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