When I heard that Groovy 4 is coming out, I decided to get ahead of it. I went online to explore what new features we were getting and how I could start using them in my own code.
This article will not be a full list of the new features of Groovy 4; there are simply too many for one post. This post will simply be my thoughts on a select few of those features and how I would plan to use them.
Let’s get started!
Back in 2015 and 2016, I wrote two blogs that went step by step to develop a microservice/Netty architecture with fully working code called Whirlpool.
A lot has changed in the years since, so recently I decided to come back to the project, update it with the latest versions of Kafka and Netty, and add a React UI to it (rather than the vanilla JavaScript version it used before). In addition, I also added Windows Subsystem for Linux (WSL) scripts in addition to the Mac and Linux scripts that were there before and made all of the scripts more robust.
This blog will be about the work that went into all of those updates, plus a look at the new React UI. This provides an excellent view into what it takes to update an outdated microservices application implemented with Kafka (version .9 –>3.0) and Netty (4.1.3->5.0.0-alpha2), bringing all versions up to date and adding a React UI. By the end youโll be familiar with the latest versions of these frameworks, know some โgotchasโ to avoid, as well as understand how to integrate WebSockets into React.
Attention: This article was published over 5 years ago, and the information provided may be aged or outdated. While some topics are evergreen, technology moves fast, so please keep that in mind as you read the post.This article is going to introduce you to Spring Boot with GraphQL. Weโll walk through a simple beer app to show you what it …
While working with a client recently, my team was given the task to retrieve the held securities and account data from the system and export it to XML with the goal of importing it into another external system. The solution involved building a Spring Batch job that would read a set held security data, export that to XML data, and deliver the file to the external vendor securely.
In this blog, I’ll be giving a tutorial on how to execute this solution. These requirements form the basis for the example we’ll use.
Attention: This article was published over 5 years ago, and the information provided may be aged or outdated. While some topics are evergreen, technology moves fast, so please keep that in mind as you read the post.I was recently tasked with summarizing the data of a several-million-row table, and the task proved to be a bit grueling at first. Eventually, …