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In collaboration with Airbus and two German universities the speakers are supporting the operations of the International Space Station’s (ISS) Columbus module with development of anomaly detection, root cause analysis and reconfiguration suggestion algorithms. As the ISS’s sensor data streams are not allowed in public clouds for regulatory reasons, they had to implement a bespoke integrated MLOps platform deployed on-premises to develop and run the custom build algorithms. In this talk it will be discussed how a bunch of AI engineers and data scientists with hardly any knowledge on K8s became full-fledged cloud engineers and built a system around GitLab, microk8s and Kubeflow which can be deployed completely automatically. The speakers will answer questions on how to bootstrap and automate the deployment of such a platform, how to support multiple Linux distributions as your hosts, how to manage and provision storage, how to expose services running on K8s, how to provide IAM, and how to not go mad while handling TLS issues.
Samo is an AI Engineer/Data Scientist at JUST ADD AI. He started his career in life science where he obtained a PhD but slowly drifted to aerospace and at the same time changed focus from data science to ML engineering. He is currently building a Kubernetes-based MLOps platform for... Read More →
Christian works as an AI Engineer and product lead at JUST ADD AI where he is currently building a system for detecting anomalies, root cause analysis and reconfiguration suggestion algorithms for the ISS based on K8s. Christian has several years of experience in consulting at the... Read More →
