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Why CPU-Based Autoscaling Fails for Rails — and What We Used Instead

Kubernetes autoscaling works best when teams match the metric to the workload: queue latency for synchronous web traffic, queue depth for background jobs ...

Nishant Arora | September 15, 2026 | Argo Rollouts, cloud native, Datadog, devops, Flagger, Helm, Horizontal Pod Autoscaler, HPA, KEDA, kubernetes, Kubernetes autoscaling, platform engineering, progressive delivery, Prometheus, queue depth, Queue Latency, Rails, Sidekiq, SRE, Unicorn

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Why CPU-Based Autoscaling Fails for Rails — and What We Used Instead

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