Jorrick shares how his team of eight students built a complete predictive scaling system for Kubernetes clusters using machine learning.

You will learn:

- How to implement predictive scaling using Prophet ML model, Prometheus metrics, and custom APIs to forecast Kubernetes workload patterns
- The Node Ranking Index (NRI) - a unified metric that combines CPU, RAM, and request data into a single comparable number for efficient scaling decisions
- Real-world implementation challenges, including data validation, node startup timing constraints, load testing strategies, and the importance of proper research

Watch (or listen to) it here: https://ku.bz/clbDWqPYp

🌟 This episode is brought to you by Testkube—the ultimate Continuous Testing Platform for Cloud Native applications. Scale fast, test continuously, and ship confidently https://ku.bz/lnxYK3s0L

With @Birthmarkb "Kidnapped by an artist" Farrell