Grow your own way: Introducing native support for custom metrics in GKE
When platform engineers, AI Infrastructure leads and developers think about autoscaling workloads running on Kubernetes, their goal is straightforward: get the capacity they need, when they need it, at the best price. However, while scaling on CPU and memory is…
