Category: System Engineering
DevOps, Interactive Media, Mobile Apps, Scalable Systems, Student Projects, System Designs, System EngineeringContinuous Integration & Deployment for a Cross-Platform Application – Part 1
When we started the project “Flora CI” for the lecture “System Engineering”, we planned to deal with Continuous Integration. As an important aspect of software engineering all of us have previously been involved in projects where code of developers had to be merged and builds had to be automated somehow. Anyway we felt we could…
Take Me Home – Project Overview
Related articles: ►CI/CD infrastructure: Choosing and setting up a server with Jenkins as Docker image ►Dockerizing Android SDK and Emulator for testing ►Automated Unit- and GUI-Testing for Android in Jenkins ►Testing a MongoDB with NodeJS, Mocha and Mongoose During the winter term 2017/2018, we created an app called Take Me Home. The purpose of the app is…
Android SDK and emulator in Docker for testing
Related articles: ►Take Me Home – Project Overview ►CI/CD infrastructure: Choosing and setting up a server with Jenkins as Docker image ►Automated Unit- and GUI-Testing for Android in Jenkins ►Testing a MongoDB with NodeJS, Mocha and Mongoose During our Android development project, we had to cope with several technological and organizational challenges with regard to construct…
Automated Unit- and GUI-Testing for Android in Jenkins
Related articles: ►Take Me Home – Project Overview ►CI/CD infrastructure: Choosing and setting up a server with Jenkins as Docker image ►Android SDK and emulator in Docker for testing ►Testing a MongoDB with NodeJS, Mocha and Mongoose In this article we would like to describe, how to write unit- and gui-tests for an Android-Application in Android Studio…
CI/CD infrastructure: Choosing and setting up a server with Jenkins as Docker image
Related articles: ►Take Me Home – Project Overview ►Android SDK and emulator in Docker for testing ►Automated Unit- and GUI-Testing for Android in Jenkins ►Testing a MongoDB with NodeJS, Mocha and Mongoose This article will run you through the motivation for a continuous integration and delivery, choosing a corresponding tool and a server to run it…
Testing a MongoDB with NodeJS, Mocha and Mongoose
Related articles: ►Take Me Home – Project Overview ►CI/CD infrastructure: Choosing and setting up a server with Jenkins as Docker image ►Android SDK and emulator in Docker for testing ►Automated Unit- and GUI-Testing for Android in Jenkins Setting up the testing environment and workflow Setup: Jenkins CI Docker Container MongoDB Docker Container Production-MongoDB on mlab.com NodeJS Web-Application,…
Analyzing text with IBM Watson services on Bluemix
You might have already heard of IBM’s artificial intelligence “Watson”, which beat two former champions of the american television game show “Jeopardy!” back in 2011. What you probably don’t know is that today lots of predefined Watson services are publicy available on IBM’s cloud platform “Bluemix”. These services cover different aspects of AI-backed applications like…
Of Apache Spark, Hadoop, Vagrant, VirtualBox and IBM Bluemix Services – Part 6 – Apache Spark and/vs Apache Hadoop?
At the beginning of this article series we introduced the core concepts of Hadoop and Spark in a nutshell. Both, Apache Spark and Apache Hadoop are frameworks for efficient processing of large data on computer clusters. The question arises how they differ or relate to each other. Hereof it seems the opinions are divided. In…
Of Apache Spark, Hadoop, Vagrant, VirtualBox and IBM Bluemix Services – Part 5 – Spark applications in PIA project
The main reason for choosing Spark was a second project which we developed for the course “Programming Intelligent Applications”. For this project we wanted to implement a framework which is able to monitor important events (e.g. terror, natural disasters) on the world through Twitter. To separate important tweets from others we use Latent Dirichlet Allocation…
Of Apache Spark, Hadoop, Vagrant, VirtualBox and IBM Bluemix Services – Part 4 – Big Data Engineering
Our objective in this project was to build an environment that could be practical. So we set up a virtual Hadoop test cluster with virtual machines. Our production environment was a Hadoop Cluster in the IBM Bluemix cloud which we could use for free with our student accounts. We developed and tested the logic of…
You must be logged in to post a comment.