1. setup a platform using jupyterhub on kubernetes * use case leans towards research and mixed research-dev workflows * user only requires browser installed locally * jupyterhub server selection menu is configured such that * user selects container image to spawn from: these are usually built per project tool chain * user selects node type to run on: for example if user needs gpu resources, then can schedule onto cluster node with gpu devices attached 2. setup a platform that integrates monorepo with vscode devcontainer * use case focuses on developers * requires vscode, docker installed locally * monorepo contains a collection of subprojects for running services and jobs * each subproject define its own devcontainer settings * these follow common patterns per runtime and runtime version needed for project * devcontainer images are pre-built and maintained in onprem container registry