Visible to the public A Novel Architecture of Jupyterhub on Amazon Elastic Kubernetes Service for Open Data Cube Sandbox

TitleA Novel Architecture of Jupyterhub on Amazon Elastic Kubernetes Service for Open Data Cube Sandbox
Publication TypeConference Paper
Year of Publication2020
AuthorsRizvi, Syed R, Lubawy, Andrew, Rattz, John, Cherry, Andrew, Killough, Brian, Gowda, Sanjay
Conference NameIGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium
Date PublishedOct. 2020
ISBN Number978-1-7281-6374-1
KeywordsAmazon Web Services, AWS, CEOS, cloud computing, Collaboration, collaboration agreements, composability, Computer architecture, Containers, Earth, Earth Observation, ODC, Open Data, Open Data Cube, policy-based governance, pubcrawl, remote sensing, sandbox, Sandboxing, Satellite, Satellites, Scalability, Servers, Tools

The Open Data Cube (ODC) initiative, with support from the Committee on Earth Observation Satellites (CEOS) System Engineering Office (SEO) has developed a state-of-the-art suite of software tools and products to facilitate the analysis of Earth Observation data. This paper presents a short summary of our novel architecture approach in a project related to the Open Data Cube (ODC) community that provides users with their own ODC sandbox environment. Users can have a sandbox environment all to themselves for the purpose of running Jupyter notebooks that leverage the ODC. This novel architecture layout will remove the necessity of hosting multiple users on a single Jupyter notebook server and provides better management tooling for handling resource usage. In this new layout each user will have their own credentials which will give them access to a personal Jupyter notebook server with access to a fully deployed ODC environment enabling exploration of solutions to problems that can be supported by Earth observation data.

Citation Keyrizvi_novel_2020