Zusammenfassung
Summary
An optimal application example of an Urban Data Platform is the networking of digital spaces in Hamburg with regard to the goals of the UN Agenda 2030. The provision and use of dynamic data from the Internet of Things event-based in real time, with low latency, is becoming increasingly important. In this paper we formulate the requirements and show the implementation of a real-time data infrastructure (iot.hamburg.de) in an Urban Data Platform (www.urbandataplatform.hamburg) using the open and standardised SensorThings API of the OGC. Data is provided both via a REST interface and event-based via an MQTT endpoint. The implementation is carried out with the help of the open source software FROST-Server in a scalable micro service architecture using Docker, Kubernetes and a high availability PostgreSQL cluster and is described in detail.