Join Rishit Dagli as he explores effective observability for ML pipelines at scale. Learn about the critical differences between observability and monitoring in ML applications, common challenges like distribution shifts, and feedback loops. Rishit demonstrates practical methods for logging and interpreting various metrics to maintain model performance and reliability.

Join Josh Mesout and Rishit Dagli in our in-depth workshop on Kubeflow as a Service, aimed at demystifying the deployment of machine learning models using open-source tools. This Civo Navigate 24 session caters to participants of all skill levels in machine learning, Kubernetes, and ML infrastructure. It covers foundational aspects of Kubeflow, dives into advanced tools like Llama 2 and Kerve, and showcases how to use these models as cost-effective alternatives to services like ChatGPT.