Kubernetes Meets Climate Science: Building Large-scale Feature De... Armagan Karatosun & Roope Tervo
Armagan Karatosun, Roope Tervo
KubeCon + CloudNativeCon Europe 2025 · Session
This talk, presented by Armagan Karatosun of EUMETSAT, with contributions from Roope Tervo and a team of climate scientists, delves into the ambitious endeavor of building a large-scale, collaborative platform for Earth system feature detection. The core challenge addressed is the immense volume and diversity of climate data, spanning petabytes across multiple European space agencies, which makes traditional data processing methods impractical. The solution presented leverages **Kubernetes** and a suite of open-source tools to bring compute resources closer to the data, enabling climate scientists to efficiently identify, label, and analyze critical environmental phenomena.
AI review
This talk details the ambitious and well-executed endeavor by EUMETSAT to build a large-scale, collaborative platform for Earth system feature detection using Kubernetes. Addressing the immense challenge of petabytes of diverse climate data, the team successfully leveraged open-source tools like Label Studio, Nucleio, and PostGIS, all orchestrated on a community OpenStack cloud. The practical solutions for data gravity, effective yet human-validated ML models, and ingenious GPU resource management for scarce hardware demonstrate a high level of engineering skill and provide significant…