Amazon Web Services

Multiplayer TypeScript Application run on AWS Services

~ bj009 ~ Leave a comment

Daniel Knizia – dk100@hdm-stuttgart.de
Benjamin Janzen – bj009@hdm-stuttgart.de

The project

CatchMe is a location-based multiplayer game for mobile devices. The idea stems from the classic board game Scotland Yard, basically a modern version of hide & seek. You play in a group with up to 5 players outside, where on of the players gets to be chosen the “hunted”. His goal is trying to escape the other players. Through the app he can constantly see the movement of his pursuers, while the other players can only see him in set intervals.


The backend of the game builds on Colyseus, a multiplayer game server for Node.js, which we have adjusted to our needs. There’s a lobby, from which the players can connect into a room with other players and start the game.
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Production Monitoring – Industry 4.0

~ Philip Betzler

When I was invited to a design thinking workshop of the summer school of Lucerne – University of Applied Sciences and Arts, I made my first experience with the end user interaction part of Industry 4.0. It was an awesome week with a lot of great people and made me interested in the whole Industry 4.0 theme. So when we did projects in the lecture of cloud development I was sure to do a production monitoring project. Continue reading →

Building a fully scalable architecture with AWS

~ Tim Grossmann

What I learned in building the StateOfVeganism ?

Final setup for the finished project (created with Cloudcraft)

By now, we all know that news and media shape our viewson these discussed topics. Of course, this is different from person to person. Some might be influenced a little more than others, but there always is some opinion communicated.

Considering this, it would be really interesting to see the continuous development of mood communicated towards a specific topic or person in the media.

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Building an HdM Alexa Skill – Part 3

~ je052

Test-driven Development of an Alexa Skill with Node.js

This is the third part in a series of blog posts in which we will describe the process of developing an Amazon Alexa Skill while focusing on using new technologies like serverless computing and enforcing the use of clean code conventions. We decided for our project to use continuous integration and delivery. For that to work as it should and to prevent unnecessary bugs from being discovered by the user, we relied on test-driven development for our code.

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Continuous Integration with Travis CI and Amazon Webservices

~ st067

Introduction

In the the course Software Engineering and Management and Interactive Media at Stuttgart Media University, we launched an interactive web application called Emoji College.

www.emoji.college

The following blog entry is a brief description of what is going on in this project. The main focus relies on the implementation of a continuous integration pipeline with TravisCI and hosting with AWS. As newcomers in dealing with AWS services it was not easy for us to get started. We have had to try a lot and have paid too much money for the services. Therefore it is our mission to explain the most important steps during the setup of AWS services easily and mention all the lessons learned. So far, there is no easy and understandable guide as we needed it.

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Building an HdM Alexa Skill – Part 2

~ Andreas Fliehr

Decisions, Developed Modules and Implementation

If you missed the first part you can catch up by reading it here.

In the second part of our blog post series, we first describe what decisions were made in the course of the development process, then we show which code we actually had to develop on ourselves and finally we give an overview on how we implemented the skill.

So let’s get started with how we ended up from the inital idea of developing a chatbot to the development of an Alexa Skill.

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