Migrating to Java 9

Billy Korando Java, Programming, Spring, Spring Boot, Technology Snapshot Leave a Comment

Java 9, after many delays and failed votes, looks to be finally arriving this September.

Java 9 will bring several new features: enhancements to Streams, a REPL, improvements to Collections, among others. But by far the biggest and most controversial change is Jigsaw. Jigsaw is introducing modularity to the JDK, a long topic in and of itself, but it is one of the major reasons upgrading to Java 9 will be more difficult than previous major releases of Java.

In this blog we will take a look at some of the benefits of running in a Java 9 environment, how to migrate a Spring Boot application to Java 9, and finally review some of the common problems you may run into and strategies for resolving them…



Got Swagger? (i.e. How I Got My Swagger on and How You Can Too)

Aaron Diffenderfer Programming, Technology Snapshot, Tutorial Leave a Comment

Most developers attempt to ignore and put off documentation as long as possible during the development process. However, the return on investment is worth the time and effort — far more than most of us realize. This is particularly true with API documentation. 

Working with a recent client, I had the opportunity to use Swagger to document APIs and provide structure around the development process. During daily standups, I may have been known to say that my task for the day was to “get my Swagger on.” 

In this post, I want to walk you through my journey with Swagger along with general thoughts, tips, and tricks that I’ve learned along the way so that you too can “get your Swagger on.” Let’s get started…



Quick Introduction to the Computer Vision API

Brad Kirtley .NET, Conversational Apps, Machine Learning, Technology Snapshot, Tutorial 1 Comment

Machine learning is a hot topic these days because the biggest tech companies are focused on taking this technology to a new level. For instance, to help develop autonomous driving cars, better interaction between you and your house with products like the Amazon Echo.

Machine learning is a core sub-area of artificial intelligence. Machine learning enables computers to self-learn without being explicitly programmed. As new data comes available, the computer has the ability to learn, grow, change, and develop itself to make better decision in the future. This technology will help reduce the workload and possible incorrect diagnoses when radiologist read films, reducing the amount of accidents on our highways caused by human error, possible reduction of inappropriate message / images / videos from bullying on social network sites.

This article will touch on one of the many Artificial Intelligence API’s that Microsoft has built for public consumption. We will specifically focus on the step-by-step process of uploading a picture, passing that picture onto the Microsoft Cognitive Services – Computer Vision API, and retrieving different attributes about that image. This is an aspect of AI technology that companies like Facebook & Google are using to try to stop bullying and other issue within social networking. Let’s get started…



Getting Started With Angular CLI Commands

Brett Smith AngularJS, JavaScript, Programming, Single-Page Application Leave a Comment

A tool that helps the journey of learning Angular is the Angular CLI. The CLI is a useful tool that can help set up and add different elements to your projects. It follows some of the best practices that have been laid down by the Angular team, even handling some of the plumbing for you so that things will work well together.

This post shows some of the basic commands available within the CLI. We will look at some of the basic commands that can help get a project started and built, paying particular attention to the different commands and what they produce, as far as application structure and file layout is concerned…



Creating A Custom Amazon Alexa Skill

Ryan Nguyen .NET, Azure, Conversational Apps, Programming, Tutorial 1 Comment

With the explosion of the internet of things (IoT), many companies are competing to create the best smart home ecosystem for consumers.

Amazon Echo, for instance, is a robust system that allows the user to interact with their smart devices via voice command. Alexa is the application that the Echo communicates with, essentially the brain of the Amazon Echo. It controls how your Amazon Echo communicates with your other smart devices and services. It can sync with a variety of smart devices including switches, thermostats, garage doors, sprinklers, door locks, music streamers, news outlets, and more. It also allows the third-party companies to create custom skills which are then accessible through the Amazon Echo.

In this blog I will discuss the Amazon Echo and its Alexa application. We will go through the process to create a custom Alexa skill about the Keyhole blog, paying particular attention to keywords you’ll need to understand when you create your own Skill. From there, we’ll show how to test a Skill via simulators and deploy it to your Amazon Echo.