Latest Autoscaling Articles

Kubernetes autoscaling adjusts application or infrastructure capacity as workload demand changes. Instead of permanently provisioning enough resources for peak traffic, a cluster can add application replicas, increase pod resource allocations, or expand the underlying node pool when additional capac

Horizontal scaling becomes significantly easier when application instances are interchangeable. A request can reach any healthy instance, failed instances can disappear without losing business state, and new capacity can join the fleet without synchronizing local files or sessions.