Advanced Front-End Development for Customer-Facing Services in a Hybrid Cloud and High-Performance Computing Cluster for Earth Observation Data Processing

This presentation elucidates the intricate details of the front-end development within an Earth Observation for European Union (EO4EU) platform. Our paramount emphasis is directed towards crafting customer-facing services embedded within a hybrid Cloud and HPC cluster, encompassing a sophisticated repertoire of front-end channels, namely the Command Line Interface (CLI), Visual/Textual Workflow Editor, Dashboards, and an OpenEO Application Programming Interface (API) providing the versatility for any user to connect to these customer-facing services of the EO4EU platform whilst using their very own and customised dashboard.A cornerstone of our work is the seamless integration of a versatile cloud security and authentication mechanism (User Management Module (UMM)), meticulously designed to establish a robust framework for secure and authenticated access to EO4EU services and data offerings. This framework is strategically interwoven with the creation of pivotal artifactsmaps and graphsvia the aforementioned front-end channels, strategically addressing the imperative of catalyzing widespread platform use and fostering data adoption.In response to exigent high-end visualization requirements, we orchestrate the engagement of computing elements on the EO4EU core infrastructure, a strategic alignment with the session's core theme on the convergence of Cloud and HPC for Earth Observation data processing. Our technical approach extends beyond conventional paradigms, incorporating support for Extended Reality (XR) interfaces, including the prospective implementation of an automated mechanism for generating Virtual Reality (VR) interfaces seamlessly intertwined with EO data.Furthermore, our presentation articulates the intricacies involved in the seamless integration of retrieved data and visualization constructs into Augmented Reality (AR) applications, a demonstration of contextual relevance through parameters such as location. By delineating these technological advancements, our contribution catalyzes the ongoing discourse within the specialized session, delivering nuanced insights into the intricacies of customer-facing services within a hybrid Cloud and HPC cluster tailored for Earth Observation data processing platforms. This work not only serves as a stimulus for discussions on the broader adoption of cloud computing but also underscores the transformative potential of high-performance computing on customer-centric services in the realm of Earth Observation.