Welcome to Matteo Franzil's website!
Matteo Franzil is a PhD Student in Information Engineering and Computer Science at the University of Trento, with a grant funded by Fondazione Bruno Kessler. His research lies at the intersection of cloud-native systems, network observability, and security, with a focus on scalable monitoring for cloud-to-edge environments.
His recent work studies how to make cloud and edge infrastructures more observable, secure, and easier to manage, with particular interest in Kubernetes, eBPF-based monitoring, context-aware audit analysis, and AI-assisted infrastructure workflows. In parallel, he teaches operating systems, cloud computing, databases, programming, and probability courses at the University of Trento, and contributes to European research projects on cost- and energy-aware infrastructures.
In addition to his academic activities, Matteo is an avid photographer and traveler. He enjoys exploring new places and capturing moments through his camera lens. His photography mainly focuses on landscapes, nature, and street photography, often during his hikes and trips.
The paper Thou Shall Not Pass: Gatekeeping Outbound TLS Connections, written with Henrique Becker Brum, Riccardo Germenia, Salvatore Manfredi, Domenico Siracusa, and Luis Knob, is now available as a preprint on arXiv. It investigates runtime monitoring of TLS handshakes and the use of eBPF for enforcing their compliance with security guidelines.
Serving as Technical Session Chair at IEEE/IFIP Network Operations and Management Symposium (NOMS) 2026 for the session "Mathematical Modeling and Network Control: Modeling and Control under Communication Constraints".
The paper From Source Code to Kubernetes Manifests: Guiding LLMs with Structured Metadata, written with Ulises Sosa and Domenico Siracusa, has been accepted to the 3rd IEEE/IFIP Workshop on Generative AI for Network Management (GAIN 2026). It shows how repositories can be parsed and analyzed to provide LLMs with a better basis for generating Kubernetes manifests.
The paper Sharpening Kubernetes Audit Logs with Context Awareness, written with Valentino Armani, Luis Knob, and Domenico Siracusa, has been published in Computer Networks and is now available below. It investigates the use of machine learning techniques to analyze and enrich Kubernetes audit logs.
Here you can find an overview of my research publications, projects, and other works.
Education, research experience, and teaching are summarized here.
Here is a summary of my technical skills and certifications.
This is a selection of my recent photographic works.
In my free time, I enjoy photography, especially landscape and street photography.
I primarily shoot during my travels and hikes, with my trusty Sony Alpha 7 IV.
On franzilmedia.com, I regularly publish all new galleries (save for privacy-sensitive ones).
You can contact me for any kind of requests, from asssignments to copies of old photos.