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Authors: Samo Turk, Christian Geier
2023-04-20

tldr - powered by Generative AI

Building an on-premise MLops platform for International Space Station data with a small team is challenging but possible with automation and open-source components.
  • 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
Authors: Silvia Pina
2022-05-17

tldr - powered by Generative AI

The talk argues against using the term 'human error' in classifying the reasons behind incidents and advocates for a blameless culture to achieve reliable and secure systems. It proposes looking at how highly resilient organizations handle the human component of failures from a systems thinking and organizational psychology standpoint.
  • The term 'human error' is outdated and should be avoided in classifying the reasons behind incidents
  • A blameless culture is key to achieving reliable and secure systems
  • Highly resilient organizations focus on identifying all possible warning signs and maintaining a global view of all operations to prevent failures
  • When a failure does occur, it is seen as a learning opportunity to improve how the organization works
  • Building resilience to failure involves helping people cope with complexity under pressure and maintaining mindfulness or awareness at an organizational level