Jorrick Stempher

Jorrick Stempher, a junior software engineer and student at Windersheim, discusses his team's innovative predictive scaling system for Kubernetes clusters, leveraging machine learning. They utilize the Prophet model to forecast load patterns, enabling preemptive scaling decisions that improve response times dramatically. Stempher dives into the Node Ranking Index for efficient resource management and shares insights on real-world challenges like data validation and load testing. The conversation highlights practical approaches to optimize Kubernetes scalability in dynamic environments.