Singer.io is an open-source JSON-based data shifting (ETL: extract, transform, load) framework, designed to bring simplicity when moving data between a source and a destination service on the Internet. In this post, we present the framework as entry point into the world of SaaS-level data exchange and some associated research questions.
With the increased adoption of serverless computing, so is the need to optimise cloud functions, to make use of resources as efficiently as possible, and to lower the overall costs in the end. At the Service Prototyping Lab at Zurich University of Applied Sciences, we investigate how cloud application and platform providers can achieve a fairer billing model which comes closer to actual utility computing where you pay only for what you really use. We demonstrate our recent findings with AWS Lambda function pricing.