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Scaling your GKE applications using external metrics

Scaling your GKE applications using external metrics

Horizontal Pod Autoscaler (HPA) is one important feature of GKE to allow automatic scaling of the number of pod deployments based on different metrics, such as CPU utilization or custom metrics.

This article explores how to scale GKE workloads using external metrics that reside in a Cloud SQL database. It includes a use case walkthrough and implementation details. Overall, the HPA and other scalability features of GKE help ensure that applications can adapt to changing demand and maintain optimal performance, allowing companies to deliver fast, reliable services to their customers.


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The FAUN watches over the forest of developers. It roams between Kubernetes clusters, code caves, AI trails, and cloud canopies, gathering the signals that matter and clearing out the noise.
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