In this session, we will explore Deutsche Bahn's ongoing efforts to monitor and minimize the ecological impact of our cloud-based applications. Central to this endeavor is collecting data on energy usage and empowering developers as agents of change to reduce the ecological costs of digitalization.

We will delve into how we enact this at three levels: 1) central platform operations to maximize node usage on K8s clusters; 2) providing tools for developers to ease workload scheduling and scaling; and 3) extending application monitoring for GreenOps with Kepler, Prometheus, and Grafana.

Furthermore, we will demonstrate how we integrate Kepler-exported metrics with Deutsche Bahn's data catalog and enterprise architecture management of thousands of cloud applications. These higher-level insights into our digital landscape are critical in enabling decision-makers to understand and optimize the financial and ecological impacts of the digitalization of our railways.