Building a Serverless Web Service For Music Fingerprinting

Building serverless architectures is hard. At least it was to me in my first attempt to design a loosely coupled system that should, in the long term, mean a good bye to my all-time aversion towards system maintenance.

Music information retrieval is also hard. It is when you attempt to start to grasp the underlying theoretical framework and submerge yourself into scientific papers which each yield a different approach for extracting some feature out of digital audio signals. It is a long way until MFCC starts to sound natural. I have been there.
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Building a fully scalable architecture with AWS

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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Continuous Integration with Travis CI and Amazon Webservices

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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