https://www.infoq.com InfoQ Edge Computing feed https://www.infoq.com/articles/proactive-autoscaling-edge-kubernetes/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=Edge+Computing <img src="https://res.infoq.com/articles/proactive-autoscaling-edge-kubernetes/en/headerimage/proactive-autoscaling-edge-kubernetes-header-1770721062673.jpg"/><p>Kubernetes often reacts too late when traffic suddenly increases at the edge. A proactive scaling approach that considers response time, spare CPU capacity, and container startup delays can add or remove instances more smoothly, prevent sudden spikes, and keep performance stable on systems with limited resources.</p> <i>By Rajeev Kallayil Ravi</i> Kubernetes Operator Performance & Scalability Kubernetes Site Reliability Engineering Edge Computing Cloud Native Architecture Observability Platform Engineering Architecture & Design DevOps article Tue, 17 Feb 2026 09:00:00 GMT https://www.infoq.com/articles/proactive-autoscaling-edge-kubernetes/?utm_campaign=infoq_content&utm_source=infoq&utm_medium=feed&utm_term=Edge+Computing Rajeev Kallayil Ravi 2026-02-17T09:00:00Z /articles/proactive-autoscaling-edge-kubernetes/en