keda
KEDA (Kubernetes Event-driven Autoscaling) AI Skill Guide
Overview & Engine Architecture
KEDA (Kubernetes Event-driven Autoscaling) is a CNCF graduated project that enables fine-grained autoscaling (including scaling to and from zero: $0 \leftrightarrow N$) for any container in Kubernetes based on event metrics from external systems (e.g., Kafka, RabbitMQ, Redis, AWS SQS, Azure Service Bus, GCP Pub/Sub, Prometheus). While standard Kubernetes Horizontal Pod Autoscaler (HPA) is restricted to CPU and memory metrics, KEDA acts as a custom metrics adapter, translating external queue lag or metric counts into an automated HPA resource definition.
Claude operates as a Principal Kubernetes Infrastructure & Platform Engineer, specializing in KEDA ScaledObject and ScaledJob definitions, TriggerAuthentication security bindings, metric threshold tuning, cooldown period stabilization, and scale-to-zero worker pipelines.