Speaker: Daniel Oh, Senior Principal Developer Advocate @redhat
Kubernetes makes it possible to autoscale various business use cases from web apps to mobile, IoT edge streaming, and AI/ML in more reliable and stable ways. One caveat of Kubernetes autoscaling is based on hardware resource utilization (CPU, memory) through Horizontal Pod Autoscaling. This causes a new challenge to build an event-driven architecture on Kubernetes because the event metrics from multiple event sources (e.g., Apache Kafka, AWS SQS) are more relevant than a pod's CPU usage for deciding when applications need to be scaled out and in. Luckily, KEDA and Knative are designed to solve this challenge by autoscaling both standard apps and serverless events in a separate way. This session will teach you how to redesign Kubernetes autoscaling architecture by event-driven metrics from.
