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• Automate as much as possible, especially for small teams
• Ask for help and give back to the community
• Experiment but also learn the basics
• Building an on-premise MLops platform for International Space Station data is challenging but possible with commitment
• Key pillars of the platform are Kubernetes, GitLab, and Kubeflow
• MicroK8s was chosen as the Kubernetes distribution for its ease of deployment and add-ons
• Kubeflow is a complete data science workbench that is Kubernetes native and actively developed
• Automation is necessary for managing the platform
• Telemetry data from the Columbus module of the International Space Station is used for anomaly detection, diagnostics, and configuration
• Microgravity introduces unique challenges for monitoring and ventilation