MTVLab: Pioneering DevOps Cloud Training

KEDA Explained: Mastering Event-Driven Autoscaling in Kubernetes Environments

Kubernetes-based Event-Driven Autoscaling (KEDA) extends Kubernetes for event-driven scaling, using triggers from Kafka, RabbitMQ, and cloud services. Unlike traditional autoscalers, KEDA scales applications based on event volume, integrating seamlessly and enabling efficient resource utilization. It uses KEDA Operators and ScaledObjects for precise control, optimizing cloud-native applications for fluctuating workloads and performance.