Underscore is a JavaScript utility library with many useful functions to handle common programming use cases. In this blog, I discuss some of the more useful functions I have found inside of Underscore. Some of the benefits are less apparent in smaller and simpler code chunks. But, as the complexity of the code increases, this is where Underscore really shines as the useful toolbox that it is…
GrokOla Releases API Governance Features
The Keyhole Labs team is excited to announce that GrokOla now offers API governance features including API documentation and real-time monitoring.
GrokOla is a knowledge documentation engine. In addition to housing wiki content, APIs can now be documented and monitored in real-time. GrokOla allows users to have all API documentation updated, centralized, and searchable from within a private GrokOla instance…
Getting Started With JHipster, Part 3
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…
Getting Started With JHipster, Part 2
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…
Blood, Sweat, and Writing Automated Integration Tests for Failure Scenarios
I introduce the process I went through to diagnose the bug and determine the correct integration test solution to fix it the right way. In doing so, I had to create a test that accurately reproduced the scenario my service was experiencing in PROD. I had to create a fix that took my test from failing to passing. And finally, I worked to increase confidence in the correctness of code for all future releases, which is only possible through automated testing.




