What’s the hottest, newest, trending programming language that you should have in your toolset if you don’t already?
Python, baby! In this post, I will give you examples of why Python has taken the number one spot as the most popular language for developers.
From some of my previous posts, you can get the idea that I promote the idea of developing maintainable code rapidly. So I was pretty excited when I learned that the same group that was responsible for Grails was working on a similar project for Web Services. Hello, Micronaut.
In this post, I provide an introduction to the Micronaut framework and its features to provide a foundation for you to try it out yourself.
Every team that builds a large web application can generally pick from the following: delivering application functionality on time, with high quality, or high performance. Teams can pick one or two of the options, but they can’t pick all three.
Most teams opt to only focus on performance if and when it becomes a problem. This, unfortunately, can be far too late for some projects. Anyone who has been in the industry can empathize with both sides of the equation – choosing to defer performance concerns, as well as seeing the negative impact it can have on the success of the product as a whole.
It is a lesson I’ve learned from hard experience, so I want to make sure others can learn from my mistakes. In this post, I suggest a handful of principles that help to find a happy medium for delivering high-quality software applications while focusing on performance.
Significant improvements can be realized even if only one or two of the principles are applied. Applying all of them, of course, will produce the best results.
I am a Spring/Java developer (primarily) and an advocate of unit testing.
There is often a debate over what constitutes a unit test, an integration test, a system test, etc. But, most of us agree that tests keep you from going “off the rails” once a project becomes sufficiently complex.
However, I have found very few discussions on architectural tests. What keeps us from deviating wildly unintentionally from our original, planned architecture? And, after all, how many enterprise projects even keep the same architects from the beginning of the initiative to shelving and replacement?
In this blog, I introduce ArchUnit, a Java architecture test library for specifying and asserting architecture rules in plain Java. We’ll discuss how it works to mitigate architectural risks in developing quality enterprise applications…
TL;DR: Add OWASP Dependency-Check to your build process to get insight into your dependency vulnerabilities.
Recent major data losses and security vulnerabilities in open source frameworks *(and the applications that use them)* have caused the companies that use those frameworks to have elevated concerns regarding vulnerabilities. The elevated awareness is for good reason, too. After all, no one wants to be the next one to lose sensitive data, be the punching bag of others, or be the example of what *not* to do security-wise.
If you happen to be in a group that doesn’t have any open source vulnerability reporting, OWASP Dependency-Check may be your short-term answer to get at least something in place. Adding OWASP Dependency-Check into your build process takes a relatively low effort. Other than not having the technology that stack Dependency-Check can help you with, there isn’t a reason not to at least add Dependency-Check to give a little insight into your open source dependencies.
The following parts will help you get Dependency-Check integrated into your Java project’s build process. The instructions will be adaptable to the other technologies Dependency-Check supports, like Gradle or JavaScript. Dependency-Check is also available as a command line tool for your favorite OS. In this example, I’ll use a Java project with Maven….