The AIMA (AI-ready Multi Mission and Multi Asset Archiving) project is an ongoing initiative that serves as a proof of concept for a common data foundation solution suitable for ESA Ground Segments. This data foundation layer will allow for the decoupling of data storage from operational data-generating systems and will facilitate data access for advanced applications, such as AI-based tools, both within and beyond mission operations. The project is focused on identifying the advantages and challenges this solution could bring to ESA’s Ground Segment infrastructure.

Software Competitiveness International GMBH (SCI) is part of the AIMA consortium, contributing to software development, providing deployment support, and leading one of three proofs of concept. SCI’s specific role involves creating a real-time analytics database for Housekeeping Telemetry (Time series data) using cloud-native technologies and managed services.

The AIMA project is aligned with ESOC’s strategy to explore cloud-based solutions for Ground Segment (GS) data, and it provides valuable hands-on experience with essential cloud technologies. This knowledge will be foundational for future initiatives that aim to implement a reusable data foundation layer for ESOC applications. While AIMA focuses on the data aspects of ESA GS’s migration to the cloud, it complements efforts related to the computational deployment of GS applications, with particular relevance to migrating data storage to cloud environments for legacy ESOC applications.

Technologies Used: Docker, Apache Hudi, Apache Druid, Apache Doris, Delta Lake, AWS Data & Analytics Architecture, Google Cloud Platform.

 

End Customer: ESOC

under a programme of, and funded by, the European Space Agency