As AngularJS applications become more complex, manual testing becomes unreliable and repetitive. Unit Testing is a great start for testing the code, but eventually End-to-End testing is needed for better coverage.
A great tool to use for this is Protractor, an end-to-end test framework for AngularJS applications. In this blog, we’ll briefly introduce the benefits of Protractor and give you the steps needed to get started with the tool.
Welcome back to this JHipster tutorial series! In part one we covered creating a monolithic application. In part two, we walked through creating a microservice application (which was a bit more complicated).
For those of you out there working to get things going with JHipster, there are some setup things and “gotchas” that I’d like to highlight. So this little blog is more of a helper for those of you who have decided to try JHipster out and play around with it. That’s what we’ll be discussing in this blog post with the hope that I can help you minimize the getting-up-to-speed curve…
In part two of this series, we create a microservice architecture using JHipster’s available options for doing so. There is quite a bit more work to do with this approach as compared with the monolithic approach. But, in the end, it pays off. You will see the benefits and flexibility in decoupling our different layers of our architecture. Each layer will not be dependent upon another to run. Let’s get started…
Attention: This article was published over 10 years ago, and the information provided may be aged or outdated.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.We’re happy to announce the release of a UML Modeling design feature on GrokOla, the tribal knowledge wiki for development teams. GrokOla users have always …
When it comes to brewing, one of the most critical considerations is sanitization. The same fact can be said for development. In brewing you can introduce unintended flavors, create a lesser end product, or completely ruin your hard work. With development, you can introduce inaccuracies or bad data, errors can be caused or exposed to attack, and security holes can be created.
With best practices in sanitization, we can all enjoy better applications and better beer. In this blog, I discuss the importance of data sanitization in development (with tips for success), with parallels to sanitization in brewing.