Autoscaling Checkly Agents with KEDA in Kubernetes

You can now run checks from your private location and automatically scale the Checkly agents as needed, providing a margin of safety in case other users are creating new checks in that location. The autoscaling configuration uses Prometheus metrics to trigger scaling events, allowing you to control how many replicas are running based on the health of your private location. This provides a flexible solution for managing Checkly agent resources and ensures that your infrastructure can handle changing workloads without becoming overwhelmed.

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