Grow your own way: Introducing native support for custom metrics in GKE

GKE natively supports custom metrics for HPA, removing the need for complex adapter setups.

• •Previously required metric exporters, adapter middleware, and IAM/Workload Identity bindings
• •Autoscaling coupled to monitoring stack created circular dependencies and operational risk
• •Agentless design sources metrics directly from Pods without adapters, sidecars, or IAM roles
• •Reduces HPA reaction latency and eliminates metric ingestion costs used solely for autoscaling
• •New AutoscalingMetric controller replaces the entire multi-step process with two simple steps

This summary was automatically generated by AI based on the original article and may not be fully accurate.