In today's dynamic cloud-native environments, scaling microservices efficiently is key to optimizing performance and resource management. This talk explores how to automate microservice scaling using KEDA (Kubernetes Event-Driven Autoscaling) and predictive insights from Google Vertex AI. I will demonstrate how to leverage Vertex AI predictions to dynamically adjust workloads based on demand, ensuring efficient resource utilization while maintaining application performance.