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The Disruptive Technology Innovation Fund

In 2019, the Disruptive Technology Innovation Fund (established by the Department of Business, Enterprise & Innovation), FINEOS, and fourTheorem, launched the Future Software Systems Architectures (FSSA) project at Dublin City University (DCU). 

The project, which has accumulated €2.1 Million in total funding, was established to address a key issue in the global software market – how to migrate existing ICT systems to serverless microservices based architectures.

In conjunction with FINEOS, and researchers from DCU and Lero

The team at fourTheorem have set out to revolutionise how companies utilise serverless computing infrastructure, and advance the use of emerging technologies, including Machine Learning (ML), in order to automate the modernization of ageing systems – converting them into modern serverless, cloud-native microservices.

“This is an extremely exciting project which holds the promise of major disruption and innovation as computing enters the serverless era. All partners are highly engaged in this work and look forward to breaking new ground."
– Dr. Paul Clarke, DCU & Lero

The FSSA project,  the output product of which is now known as Fission, directed by Dr. Paul Clarke and the late Prof. Rory O’Connor of DCU and Lero, aims to simplify the process of moving monolithic architectures to serverless microservices – which currently, is a massively time consuming, error-prone, and costly process.

Monolithic architectures are traditional models where the majority of the software program code is contained in a single, large, unified, executable application. While in serverless architectures the software program code is composed of many smaller, independent, executable units. These small units run on the cloud and are paid for on an on-demand basis.

Peter Elger, CEO:

"Fission will accelerate uncoupling the structures and dependencies within existing monolithic platforms, significantly cutting the time required and risk associated when transforming to a modern cloud architecture."

Why bother?

Companies may have the desire to transform their existing architecture to serverless microservices in order to benefit from: 


Reduced infrastructure & maintenance costs


On-demand scalability


Improved speed & agility

However, the untangling of such centralised systems is, for the most part, a complex manual process that often carries significant associated risk.


Under the “Fission” umbrella we have built a Machine Learning based automatic architectural transformation system that will systematically identify and extract services from monoliths - significantly reducing not only the time and cost of these transitions, but also the knowledge and expertise gap through the provision of smart, artificially intelligent technologies. “Fission” adopts a metahuman systems paradigm, where smart software and smart people work together to deal with complex problems.

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