Attention: This article was published over 9 years ago, and the information provided may be aged or outdated.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 part of my blog series on automated testing promoting my new Pluralsight course Effective Automated Testing with Spring. Automated testing is …
I have worked with several different organizations in my career on initiatives to rewrite legacy applications. A common theme for each project was that the organization struggled to deliver both maintainable and “agile” applications.
As developers, we’re curious by nature. I needed to understand exactly why this happens. In my contemplation of this common challenge, I discovered Automated Testing and became fascinated by it. I have since worked to include it as a central step as I write and maintain applications.
In this article particularly, I lay out how automated testing, or rather the lack there of, lies at the heart of many of the struggles we face as developers…
So you’ve made this great social media app, and you are about to sit back and wait for the money to roll in. But, there is a problem: people keep trying to upload nude photos to it.
What if we could have a trained machine learning model that could detect not safe for work (NSFW) content and do it on a iOS device, before any image would be uploaded to a server?
Developing this trained machine learning model is way out of scope for this blog post. Luckily, the good people at Yahoo have already done this with their open-sourced trained Caffe models. The question now is, how can we use this on an iOS device?
In this post: The sultry side of your iPhone can collide with acceptable use policies. We introduce a machine learning solution that can help your application decide what is truly too hot for the internet using Core ML on iOS…
This post is a continuation of our hands-on OpenShift Quick Start blog series.
In the first post we introduced OpenShift & its features. In part two, you worked to get OpenShift running locally & adding a Container with an API service to a Pod. In part three, you worked on scaling pods and managing Cluster with the CLI.
This blog continues that series, introducing the automated Continuous Integration / Continuous Delivery (CICD) features of the OpenShift platform using both the Web Console and the Command Line. A hands-on exercise will then show how a Jenkins build Pipeline can be customized…
This post is a continuation of our hands-on OpenShift Quick Start blog series. In the first post we introduced OpenShift, and in part two, you worked to get OpenShift running locally & adding a Container with an API service to a Pod. Make sure you’ve completed that step prior to starting the continued exercise below!
The previous blogs in this series managed OpenShift using the web admin user interface. However, everything that can be done with the user interface can also be done from using the CLI (Command Line Interface). Arguably, developers prefer to interact with text commands, but that’s a generalization.
In this post, we’ll demonstrate common OpenShift commands can be done in the web admin from the command line.