For over 14 years, the Australian Urban Research Infrastructure Network (AURIN) has been a national leader in delivering digital infrastructure to support advanced urban research. As AURIN transitions towards a next-generation framework, the focus is on standardised, interoperable data and analytics delivery methods. AURIN has recently added an ingress layer on top of its existing technology stack to provide secure and efficient access to these leading-edge digital services.
This presentation will share practical insights from applying AURIN’s selected implementation, Traefik, in real-world scenarios, including access to internal services such as GeoServer (WFS) and integration with external APIs. Traefik, an open-source reverse proxy and ingress controller, offers an effective solution for managing traffic to both internal platforms and external APIs. Acting as an access gateway, it improves the overall security posture by isolating backend systems from direct internet exposure. Its modular architecture, based on routers, middleware, and services, enables flexible traffic control, authentication, and observability. It supports forward authentication with identity providers such as Keycloak and the Australian Access Federation (AAF), enabling secure, federated single sign-on across institutions. Its declarative YAML configuration and dynamic service discovery – natively compatible with Docker and Kubernetes – significantly reduce operational complexity compared to traditional tools like NGINX.
Germán González is a Data Scientist at the AURIN, where he develops scalable, cloud-based infrastructure to deliver geospatial and research data to the Australian community. He holds degrees in history and economics, as well as master’s degrees in economics and data science. With over 8 years of experience in research consultancy, he has contributed to national initiatives such as the Integrated Research Infrastructure for Social Science (IRISS), working in collaboration with multiple Australian universities. His technical expertise includes geospatial analysis, machine learning, econometrics, and cloud development, with a focus on managing secure, adaptable data services in production environments using a range of modern data and infrastructure tools.
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