Network Segmentation in a Synthetic Healthcare Kubernetes Lab

I tested whether Kubernetes NetworkPolicies could enforce a declared service dependency graph in a synthetic healthcare Kubernetes testbed while preserving every required connection. Using CleanHealth System Lab, a 16 GB MacBook Air running eight benign HTTP services across six namespaces, I completed five paired runs comparing an unrestricted laboratory mesh against dependency-based segmentation, recording 1,680 observations.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-09-15
DOI
https://doi.org/10.5281/zenodo.22771569
Primary Topic
Software System Performance and Reliability
Type
preprint
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preprint

Network Segmentation in a Synthetic Healthcare Kubernetes Lab

Paul Olatunji
Zenodo (CERN European Organization for Nuclear Research)
Software System Performance and Reliability
preprint

Network Segmentation in a Synthetic Healthcare Kubernetes Lab

Paul Olatunji
preprint en

Abstract

I tested whether Kubernetes NetworkPolicies could enforce a declared service dependency graph in a synthetic healthcare Kubernetes testbed while preserving every required connection. Using CleanHealth System Lab, a 16 GB MacBook Air running eight benign HTTP services across six namespaces, I completed five paired runs comparing an unrestricted laboratory mesh against dependency-based segmentation, recording 1,680 observations.

Zenodo (CERN European Organization for Nuclear Research)
Film Independent (US)
Industry, innovation and infrastructure
Software System Performance and Reliability
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Network Segmentation in a Synthetic Healthcare Kubernetes Lab — Paul Olatunji · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS