• How to profile Wildfly using NetBeans and JMeter

    The NetBeans IDE includes a powerful profiling tool that can provide important information about the runtime behavior of your application. The NetBeans profiling tool easily enables you to monitor thread states, CPU performance, and memory usage of your application from within the IDE, and imposes relatively low overhead.

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  • Evaluation of Microsoft Azure Cloud for Java/JEE applications

    The purpose of this article is to describe the outcome of evaluation of Azure Cloud services for deployment of a JEE application.

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  • Docker container based Continuous Integration (CI)

    In this article we are going to take a look at a workflow for building and deploying a micro-service using Docker container. The model discussed here focuses on consistency, security and productivity. For example -

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  • JEE Development without Spring Framework

    This is an interesting article as it compares Spring Framework with Java Enterprise Edition. It may become a debatable topic and may upset many Spring Framework users. Well, to be fair, I want to let you know that I am one of the biggest fan of Spring Framework but yet I am writing this article because I believe we don’t always need Spring Framework for Java development. If you want to see a proof, checkout this project.

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  • Deploy JEE Wildfly Container in ECS using Elastic Beanstalk

    Amazon Elastic Beanstalk provides various pre-configured application environments for rapid application development. Among those are Python, Ruby, PHP, Node.js Java, .NET and Docker. The Java environment is very specific to Tomcat deployment and there is no environment available for JEE containers like Wildfly, WebLogic or Glassfish. In this article we are going to use Docker container for Wildfly to deploy a JEE application and manage environment specific sensitive information outside of SCM.

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