Taking on the Azure Developer Certification (70-532) Exam

Vince Pendergrass .NET, Azure, Opinion, Service Fabric 6 Comments

Many of the companies that we work with use various cloud providers (such as Google, Amazon and Microsoft) for IT Service Delivery. This has created a great need for those who assist these companies to possess the technical skills required for proper and effective implementation of such services.

An excellent way to make yourself stand apart from the crowd in this space (and your company for that matter), is to obtain a developer/architect certification, such as the Microsoft Azure Developer Certification. Plus, if your company is focusing on becoming a Microsoft partner, it may be necessary to have a few developers on your team spend some time working to become certified. Fortunately, my awesome company Keyhole Software presented me with this opportunity.

In this blog, I share what I did to prepare for the Azure developer certification, specifically the 70-532 Developing Microsoft Azure Solutions Certification exam. I’ll include a couple of prep tools that helped me significantly, as well as a few unexpected “gotchas” I encountered when taking the exam…

Web Development Business

Technical Debt – Observe, React, Prevent

Keith Shakib Consulting, Opinion, Soft Skills Leave a Comment

The term “technical debt” was coined over a decade ago to help highlight a common problem in software development. Generally you can think of technical debt like this:

The cost of additional rework created by choosing an easy, shortcut solution now instead of the better approach that would take longer.

Delivering software to meet deadlines or functional goals that are wrought with technical debt is like buying items before you can afford them. Both practices can drastically affect your ability to reach your future goals, both long term and short term.

This article is a gentle reminder to recognize, fix, and avoid technical debt in your software projects.

Core ML

Core ML After Dark

Derek Andre Machine Learning, Mobile, Technology Snapshot, Tutorial Leave a Comment

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…

OpenShift Quick Start

David Pitt AWS, DevOps, Docker, Microservices, OpenShift Leave a Comment

Our previous blog in the series introduced RedHat’s OpenShift solution that provides a way for enterprise teams to implement their own PaaS. Essentially, it sits atop the Docker-based Kubernetes platform to provide a ready-to-use DevOps platform.

This blog introduces two hands-on exercises (taken from our OpenShift Course), that work to walk you through the following tasks:

– Installing OpenShift locally
– Adding a Container with an API service to a Pod

Unfortunately, it will take more than this quick start blog to get OpenShift installed and enabled in an enterprise. That said, developers, system admins, and any party that may be working on or responsible for the platform, will benefit from understanding how to get OpenShift up and running on a local machine as shown in this blog.

Managing Docker Containers with OpenShift and Kubernetes

Casey Justus AWS, DevOps, Docker, Microservices, Technology Snapshot Leave a Comment

For the last few years, Docker containers have been all the rage in the DevOps world. After all, what’s not to like? They allow you to strip out 99% of stuff in your VM and just deploy your code.

Containers can save resources, speed deployment, scale well and offer more fault tolerance. But how do you manage them?

In my experience, the Docker Machine and Docker Swarm stack hasn’t lived up my to expectations. It has a limited API, no support for monitoring and logging, and much more manual scaling. AWS’s EC2 containers scale well, but you’ll be locked into Amazon.

In my opinion, the best current stack for Docker containers includes Kubernetes and OpenShift. In this blog I will give a brief introduction to Kubernetes + OpenShift with an eye for what they do well…