Red Hat Training and Certification is proud to announce that Automation with Ansible (DO407) is now available via video classroom.
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Part 1: Adding Unit Tests to Native iOS Red Hat Mobile Application Platform Application
A robust and agile mobile application development environment requires continuous integration and delivery. It also requires an integrated and automated unit testing process that helps bring applications to market successfully. This two-part series details my work done at the Red Hat Open Innovation Labs and as a Mobile Technical Account Manager to capture these mobile innovations in a useful, repeatable way. In part one of this two-part series, I break down the steps to create and unit test a native iOS application using Red Hat Mobile Application Platform. In part two, I’ll show how Jenkins can be used to automate continuous integration and unit testing of that Mobile app. If you would like to try out our Red Hat Mobile Application Platform product please visit our Red Hat Mobile Application Platform site.
- Xcode 7.3
- Red Hat Mobile Application Platform 3.12 (or later)
- Mac OSX El Capitan
Join us Thursday, December 15, 2016 for a free webinar on deploying a containerized application to a Kubernetes cluster.
This article was originally posted on OpenSourceArchitects.org.
What is an SOE?
Modern IT departments face huge changes in the way they deploy and maintain servers. When I first entered the industry, UNIX, and hence Linux servers were in the parlance of cloud workloads, ‘pets’: few in number, lovingly tended machines that were individually configured and maintained by hand. They often ran many workloads at the same time (mail server, file server, database, shell accounts) on expensive hardware. A typical ratio of system administrators to servers might be 1:10 yet hardware costs, rather than labour, accounted for the greatest share of the IT department’s budget.
The following is not an unfamiliar story and it’s something that the Architects in Emerging Technology Practices of Red Hat Consulting see on a regular basis. Technology choice which is based on ease of use, availability or specific functionality is not always the best approach within a large enterprise.