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Google Kubernetes Engine (GKE) introduces active buffer, a preview feature that eliminates scale-out latency by maintaining pre-provisioned spare cluster capacity.
•Traditional autoscaling suffers from node startup delays due to VM provisioning and container image downloads, risking SLA violations.
•Active buffer replaces complex balloon pod workarounds with a native CapacityBuffer API resource, simplifying cluster capacity management.
•Reserved capacity is held by virtual pods that the Cluster Autoscaler treats as pending demand, allowing new workloads to land on empty nodes immediately.
•Buffer size can be configured three ways: fixed replica count, percentage of current deployments, or a resource (vCPU) ceiling.
•The feature follows an OSS-first strategy, contributing the CapacityBuffer API to Kubernetes upstream before the GKE-native implementation.
This summary was automatically generated by AI based on the original article and may not be fully accurate.
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