Scaling Kubernetes pods with KEDA based on Amazon SQS queue depth
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KEDA with SQS for event-driven Kubernetes scaling, practical and directly applicable.
Summary
This article from the CNCF Blog explains how to use KEDA (Kubernetes Event-Driven Autoscaling) to scale pods based on Amazon SQS queue depth, addressing the limitation of CPU/memory metrics that don't reflect actual message backlogs. It provides a practical pattern for event-driven architectures where worker pods may be idle while messages accumulate.