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In-depth research

Innovation thrives on fresh perspectives and continuous learning. At SUE, translating research into innovation is in our DNA. We collaborate with leading Dutch universities, where we contribute to curricula, give guest lectures, and mentor more than 100 students annually through our Cloud Native Incubator program. This commitment to education and research is the driving force behind our solutions. It allows us to remain at the forefront of Cloud Native technologies and train the next generation of experts.

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In collaboration with the University of Amsterdam

The Impact of Virtual Monorepos on Developer Experience and Workflow Efficiency

This research analyzes the challenges of multi-repository microservice development and introduces a virtual monorepo abstraction to reduce cognitive load and streamline workflows. It explores how such an abstraction layer can provide a uniform developer experience without requiring a full migration to a traditional monorepo.

Expertise: Platform Engineering

In collaboration with Utrecht University of Applied Sciences

Cloud Infrastructure Visibility at Scale: Automated Resource Discovery and Interactive Topology Mapping

This research focuses on automating the detection and visualization of AWS resources and their interrelationships to address documentation and visibility gaps. It demonstrates how SQL-based cloud querying, combined with interactive graph visualizations, provides real-time and vendor-neutral insights into cloud topology. This simplifies troubleshooting, security audits, and optimization.

Expertise: Cloud Migration, Cloud Security, Data & AI

In collaboration with Utrecht University

Service Level Objective-Aware Infrastructure as Code Generation: Bridging AI and Cloud Deployment Constraints

This research investigates the automation of Infrastructure as Code (IaC) in cloud-native environments using Large Language Models and Service Level Objectives (SLOs). It analyzes how AI-driven IaC can simplify complex cloud designs and enable dynamic deployments while ensuring performance and reliability.

Expertise: Application Modernization, Data & AI, Platform Engineering

In collaboration with Utrecht University

Seamless Runtime Migration from Virtual Machines to Containers with eBPF Tracing

This research focuses on migrating virtual machines (VMs) to lightweight and scalable container environments. It introduces a framework that automates and optimizes this transition, with the aim of minimizing downtime and reducing the size of container images.

Expertise: Application Modernization

In collaboration with Utrecht University

Adaptive Vertical Scaling with Granular Degradation Prediction & Contextualized Multi-Armed Bandits

This research focuses on optimizing resource allocation for containers in cloud-native environments. It investigates how the combination of fine-grained telemetry and machine learning-driven decision-making can significantly reduce resource waste while maintaining application performance.

Expertise: Cloud Migration, Data & AI, Platform Engineering

In collaboration with Tilburg University

The Impact of Copilot on Quality and Security in Open-Source Software

This research explores the impact of AI-driven code development, with a specific focus on GitHub Copilot, on the quality and security of open-source software (OSS). In collaboration with Tilburg University, the study analyzes how the use of AI tools influences the development process and what implications this has for the maintainability and security of OSS projects.

Expertise: Application Modernization, Data & AI

In collaboration with Fontys University of Applied Sciences

Application Profiling for Automated VM to Container Migrations

This study introduces a new process-level profiling methodology to automate the migration of applications from Linux-based virtual machines to containers.

Expertise: Application Modernization

In collaboration with the University of Amsterdam

Collaborative Edge-Cloud Computing for Efficient Resource Utilization

Nowadays, the computing requirements for running various applications continue to increase. When setting up a system to support these applications, multiple possibilities and choices must be considered.

Expertise: Application Modernization, Cloud Migration

In collaboration with the University of Amsterdam

Creating, Detecting, and Preventing Malicious Ansible Packages

Infrastructure as Code (IaC) uses DevOps methodology and version control with a descriptive model to define and deploy infrastructure, such as networks, virtual machines, load balancers, and connection topologies.

Expertise: Cloud Security

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Robbie v R

Robbie van Rooijen

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